Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
This is a high-impact technical leadership role at the centre of Wayve’s Robotaxi launch. You’ll define the end-to-end architecture that connects vehicle telemetry and intent with real-time human operator support, balancing latency, reliability, and safety constraints.
As a foundational team member in this domain, you will have a unique opportunity to set technical direction. We are specifically looking for product-oriented engineers who are adept at converting deep technical decisions into impactful product features. This role offers a clear and attractive growth path from a hands-on IC to leading a small team as the program scales.
Key responsibilities:
Own the architecture and technical roadmap for Remote Assistance across onboard integration, offboard services, and operator tooling/HMI
Define and drive the vehicle ↔ operator “contract” (data, authority bounds, fallback/MRM behaviour, and failure handling)
Lead cross-team execution across autonomy, safety, platform/infra, and product partners, turning architecture into deliverable workstreams
Establish system-level quality bars (latency budgets, reliability targets, monitoring, replay/evidence, incident learning loops) for safety-critical RA operation
Act as the technical interface to engineering leadership and safety stakeholders, shaping how RA feeds into the evolving L4 safety case
About you
In order to set you up for success as a Tech Lead, within the robotaxi team here at Wayve, we’re looking for the following skills and experience.
Essential
Staff-level experience building and owning real-time, safety-critical systems (e.g., AV/robotics, teleoperation, aerospace/avionics, industrial control, medical devices)
Strong product and customer orientation; able to connect technical performance metrics to rider experience, operational outcomes, and launch readiness
Proven ability to lead cross-org technical roadmaps and land work across multiple teams you don’t directly manage (architecture, alignment, execution)
Deep hands-on expertise in at least one of: low-latency video/telemetry streaming, robotics/AV system integration, control systems, or human-in-the-loop system design
Strong safety-first engineering instincts: failure-mode thinking, fallback/MRM design, operational constraints/ODD enforcement, and evidence-driven decision making
Desirable
Direct experience with teleoperation / remote driving / remote assistance systems, including operator UX and authority boundaries
Familiarity with safety frameworks and processes relevant to autonomy (e.g., functional safety concepts, safety cases, hazard analysis)
Experience scaling production systems in ambiguous, fast-moving environments (from prototype to operational reliability)
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nThis is a high-impact technical leadership role at the centre of Wayve’s Robotaxi launch. You’ll define the end-to-end architecture that connects vehicle telemetry and intent with real-time human operator support, balancing latency, reliability, and safety constraints. \n\nAs a foundational team member in this domain, you will have a unique opportunity to set technical direction. We are specifically looking for product-oriented engineers who are adept at converting deep technical decisions into impactful product features. This role offers a clear and attractive growth path from a hands-on IC to leading a small team as the program scales.\n\nKey responsibilities:\n\n - Own the architecture and technical roadmap for Remote Assistance across onboard integration, offboard services, and operator tooling/HMI\n\n - Define and drive the vehicle ↔ operator “contract” (data, authority bounds, fallback/MRM behaviour, and failure handling)\n\n - Lead cross-team execution across autonomy, safety, platform/infra, and product partners, turning architecture into deliverable workstreams\n\n - Establish system-level quality bars (latency budgets, reliability targets, monitoring, replay/evidence, incident learning loops) for safety-critical RA operation\n\n - Act as the technical interface to engineering leadership and safety stakeholders, shaping how RA feeds into the evolving L4 safety case\n\nAbout you\n\nIn order to set you up for success as a Tech Lead, within the robotaxi team here at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Staff-level experience building and owning real-time, safety-critical systems (e.g., AV/robotics, teleoperation, aerospace/avionics, industrial control, medical devices)\n\n - Strong product and customer orientation; able to connect technical performance metrics to rider experience, operational outcomes, and launch readiness\n\n - Proven ability to lead cross-org technical roadmaps and land work across multiple teams you don’t directly manage (architecture, alignment, execution)\n\n - Deep hands-on expertise in at least one of: low-latency video/telemetry streaming, robotics/AV system integration, control systems, or human-in-the-loop system design\n\n - Strong safety-first engineering instincts: failure-mode thinking, fallback/MRM design, operational constraints/ODD enforcement, and evidence-driven decision making\n\nDesirable\n\n - Direct experience with teleoperation / remote driving / remote assistance systems, including operator UX and authority boundaries\n\n - Familiarity with safety frameworks and processes relevant to autonomy (e.g., functional safety concepts, safety cases, hazard analysis)\n\n - Experience scaling production systems in ambiguous, fast-moving environments (from prototype to operational reliability)\n\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"b4be6d2e-2691-4c36-aabf-6d3c3585b3d3","title":"Machine Learning Engineering Manager, App SW","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Detroit, Michigan USA","secondaryLocations":[],"publishedAt":"2026-05-29T16:04:33.802+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/b4be6d2e-2691-4c36-aabf-6d3c3585b3d3","applyUrl":"https://jobs.ashbyhq.com/wayve/b4be6d2e-2691-4c36-aabf-6d3c3585b3d3/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We're looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve’s AV capabilities in the US from the ground up.
As a founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for US's road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.
We’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts.
This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus.
Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML.
Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams.
Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.
Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence.
Work closely with OEM partners in the US — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.
Establish close working relationships with our product and vehicle operations teams in the US.
To be successful in this role, you'll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges.
A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.
Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.
Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.
Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones.
Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.
Prior experience in autonomous vehicles or robotic systems operating at scale.
Familiarity with US's road environment, driving behaviour, or AV regulatory landscape.
A strong foundation in machine learning and its application to real-time decision-making or perception systems.
This role is a full-time role based in Sunnyvale, CA or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\n THE ROLE \n\nWe're looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve’s AV capabilities in the US from the ground up.\n\nAs a founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for US's road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.\n\nWe’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts.\n\nThis role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus.\n\n \n\n\nKEY RESPONSIBILITIES:\n\n - Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML.\n\n - Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams.\n\n - Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.\n\n - Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence.\n\n - Work closely with OEM partners in the US — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.\n\n - Establish close working relationships with our product and vehicle operations teams in the US.\n\n\nABOUT YOU \n\nTo be successful in this role, you'll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges.\n\n\nESSENTIAL\n\n - A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.\n\n - Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.\n\n - Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.\n\n - Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.\n\n - Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones.\n\n - Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.\n \n \n\n\nDESIRABLE\n\n - Prior experience in autonomous vehicles or robotic systems operating at scale.\n\n - Familiarity with US's road environment, driving behaviour, or AV regulatory landscape.\n\n - A strong foundation in machine learning and its application to real-time decision-making or perception systems.\n\n \n\nThis role is a full-time role based in Sunnyvale, CA or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nAt Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"0ee754dd-afb3-4ae8-916a-788d88425b6c","title":"Machine Learning Engineering Manager, App SW","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Detroit, Michigan USA","secondaryLocations":[],"publishedAt":"2026-05-29T16:04:34.645+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/0ee754dd-afb3-4ae8-916a-788d88425b6c","applyUrl":"https://jobs.ashbyhq.com/wayve/0ee754dd-afb3-4ae8-916a-788d88425b6c/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We're looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve’s AV capabilities in the US from the ground up.
As a founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for US's road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.
We’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts.
This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus.
Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML.
Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams.
Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.
Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence.
Work closely with OEM partners in the US — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.
Establish close working relationships with our product and vehicle operations teams in the US.
To be successful in this role, you'll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges.
A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.
Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.
Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.
Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones.
Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.
Prior experience in autonomous vehicles or robotic systems operating at scale.
Familiarity with US's road environment, driving behaviour, or AV regulatory landscape.
A strong foundation in machine learning and its application to real-time decision-making or perception systems.
This role is a full-time role based in Sunnyvale, CA or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\n THE ROLE \n\nWe're looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve’s AV capabilities in the US from the ground up.\n\nAs a founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for US's road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.\n\nWe’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts.\n\nThis role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus.\n\n \n\n\nKEY RESPONSIBILITIES:\n\n - Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML.\n\n - Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams.\n\n - Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.\n\n - Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence.\n\n - Work closely with OEM partners in the US — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.\n\n - Establish close working relationships with our product and vehicle operations teams in the US.\n\n\nABOUT YOU \n\nTo be successful in this role, you'll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges.\n\n\nESSENTIAL\n\n - A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.\n\n - Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.\n\n - Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.\n\n - Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.\n\n - Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones.\n\n - Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.\n \n \n\n\nDESIRABLE\n\n - Prior experience in autonomous vehicles or robotic systems operating at scale.\n\n - Familiarity with US's road environment, driving behaviour, or AV regulatory landscape.\n\n - A strong foundation in machine learning and its application to real-time decision-making or perception systems.\n\n \n\nThis role is a full-time role based in Sunnyvale, CA or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nAt Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"195a0022-76cd-4379-aaec-6626c4a7700d","title":"Tech Lead, Autonomy Performance - Robotaxi","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-06-02T08:18:21.040+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/195a0022-76cd-4379-aaec-6626c4a7700d","applyUrl":"https://jobs.ashbyhq.com/wayve/195a0022-76cd-4379-aaec-6626c4a7700d/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
This is a high-impact technical leadership role and a key founding member position at the centre of Wayve’s Robotaxi launch, providing a unique opportunity to set direction and definition for the autonomy performance function.
We are specifically looking for product-oriented engineers who will own the autonomy performance bar that determines whether the product is ready for the public and stays great release over release. You’ll turn messy real-world driving signals into trusted metrics, a prioritised funnel of issues, and cross-team execution that lands measurable improvements in production.
This is an opportunity to define “performance” for an end-to-end learned driving system where traditional AV playbooks don’t translate cleanly, with visibility and influence across the teams shaping the stack. This is primarily hands-on IC, with a clear growth path and expectation to transition into leading a small team as the Robotaxi program scales.
Key responsibilities:
Own and evolve the autonomy performance measurement framework for Robotaxi (driving + pick-up / drop-off), including the metrics, dashboards, and narrative used by leadership to make ship/no-ship decisions
Build and run the end-to-end performance improvement loop: detect issues, triage and prioritise, drive root-cause investigations, and ensure fixes land across model, robot software, backend, and evaluation tooling
Lead cross-functional execution across AV core, evaluation/validation, robotics, robot software, triage/systems, and SRE—often without direct reporting authority—aligning roadmaps to performance outcomes
Define and enforce performance release gates and regression detection for production deployments; own readiness calls, post-release monitoring, and follow-through on incidents/regressions
Be hands-on in the data and code when needed (Python/C++/SQL) to accelerate debugging, validate hypotheses, and unblock delivery
About you
In order to set you up for success as a Tech Lead within the robotaxi team here at Wayve, we’re looking for the following skills and experience.
Essential
Demonstrated cross-functional engineering leadership: you’ve led complex delivery across multiple teams and stakeholders to achieve production outcomes (without relying on direct line management)
Strong product and customer orientation; able to connect technical performance metrics to rider experience, operational outcomes, and launch readiness
Strong autonomy/robotics performance debugging experience, including deep hands-on work with real-world issues and time-series / real-time signals (not just managing a queue)
Strong technical foundations in learned systems / ML-driven robotics: you can reason about model behaviour, failure modes, and measurement pitfalls in data-driven autonomy stacks
Production fluency in Python, C++ and SQL, with the ability to work directly in code and analytics pipelines to diagnose problems and validate improvements
Desirable
Experience owning or co-owning releases to a fleet of robots/vehicles in production, including defining release processes, gates, rollback plans, and regression handling
Familiarity with modern data/observability stacks used in autonomy programs (e.g., Databricks/SQL, Grafana, internal eval/sim tooling, dashboarding/reporting)
Track record of building scalable triage systems and performance programs (metrics taxonomy, prioritisation frameworks, quality bars) in safety- or mission-critical environments
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nThis is a high-impact technical leadership role and a key founding member position at the centre of Wayve’s Robotaxi launch, providing a unique opportunity to set direction and definition for the autonomy performance function. \n\nWe are specifically looking for product-oriented engineers who will own the autonomy performance bar that determines whether the product is ready for the public and stays great release over release. You’ll turn messy real-world driving signals into trusted metrics, a prioritised funnel of issues, and cross-team execution that lands measurable improvements in production.\n\nThis is an opportunity to define “performance” for an end-to-end learned driving system where traditional AV playbooks don’t translate cleanly, with visibility and influence across the teams shaping the stack. This is primarily hands-on IC, with a clear growth path and expectation to transition into leading a small team as the Robotaxi program scales.\n\nKey responsibilities:\n\n - Own and evolve the autonomy performance measurement framework for Robotaxi (driving + pick-up / drop-off), including the metrics, dashboards, and narrative used by leadership to make ship/no-ship decisions\n\n - Build and run the end-to-end performance improvement loop: detect issues, triage and prioritise, drive root-cause investigations, and ensure fixes land across model, robot software, backend, and evaluation tooling\n\n - Lead cross-functional execution across AV core, evaluation/validation, robotics, robot software, triage/systems, and SRE—often without direct reporting authority—aligning roadmaps to performance outcomes\n\n - Define and enforce performance release gates and regression detection for production deployments; own readiness calls, post-release monitoring, and follow-through on incidents/regressions\n\n - Be hands-on in the data and code when needed (Python/C++/SQL) to accelerate debugging, validate hypotheses, and unblock delivery\n\nAbout you\n\nIn order to set you up for success as a Tech Lead within the robotaxi team here at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Demonstrated cross-functional engineering leadership: you’ve led complex delivery across multiple teams and stakeholders to achieve production outcomes (without relying on direct line management)\n\n - Strong product and customer orientation; able to connect technical performance metrics to rider experience, operational outcomes, and launch readiness\n\n - Strong autonomy/robotics performance debugging experience, including deep hands-on work with real-world issues and time-series / real-time signals (not just managing a queue)\n\n - Strong technical foundations in learned systems / ML-driven robotics: you can reason about model behaviour, failure modes, and measurement pitfalls in data-driven autonomy stacks\n\n - Production fluency in Python, C++ and SQL, with the ability to work directly in code and analytics pipelines to diagnose problems and validate improvements\n\nDesirable\n\n - Experience owning or co-owning releases to a fleet of robots/vehicles in production, including defining release processes, gates, rollback plans, and regression handling\n\n - Familiarity with modern data/observability stacks used in autonomy programs (e.g., Databricks/SQL, Grafana, internal eval/sim tooling, dashboarding/reporting)\n\n - Track record of building scalable triage systems and performance programs (metrics taxonomy, prioritisation frameworks, quality bars) in safety- or mission-critical environments\n\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"146cd7b2-1393-4fce-8324-6da532f8f114","title":"Fleet Service Manager","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-08-31T20:02:19.894+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/146cd7b2-1393-4fce-8324-6da532f8f114","applyUrl":"https://jobs.ashbyhq.com/wayve/146cd7b2-1393-4fce-8324-6da532f8f114/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Fleet Service Manager is responsible for ensuring the seamless servicing, maintenance, and operational readiness of the autonomous vehicle fleet. Leading a team of Fleet Servicing & Maintenance Technicians, they oversee preventive and reactive maintenance, ensuring high fleet availability while adhering to strict safety and compliance standards. Their primary goal is to maximise vehicle uptime, optimise workshop operations, and drive efficiency in fleet servicing.
This role requires strong leadership, operational oversight, and close collaboration with Field Engineering Leads and Heads of Geo to align servicing efforts with business needs. While not a shift-based role, flexibility may be required to support urgent fleet servicing needs. As a critical player in a pioneering AV fleet servicing function, the Fleet Service Manager will drive best practices and innovation in next-generation vehicle maintenance.
Key responsibilities:
Fleet Availability & Operational Efficiency – Ensure high vehicle uptime by optimising servicing/inspection schedules and minimising downtime.
Cost Control & Budget Management – Manage fleet maintenance costs, track expenditures, and implement cost-saving initiatives without impacting service quality.
Compliance, Safety & Regulatory Adherence – Ensure all servicing and maintenance operations comply with safety regulations, industry standards, and internal policies.
Fleet Upgrades & Deployment Coordination – Oversee mechanical and servicing-related upgrades while minimising operational disruptions.
Team Leadership & Workforce Management – Lead and develop Fleet Servicing & Maintenance Technicians, ensuring efficient servicing operations.
Data-Driven Decision Making & Reporting – Analyse fleet maintenance data to improve servicing schedules, reduce downtime, and enhance overall fleet performance.
Continuous Improvement & Best Practices – Drive efficiency improvements, implement best practices, and maintain industry-leading fleet servicing operations.
In order to set you up for success as a Fleet Service Manager at Wayve, we’re looking for the following skills and experience.
Essential
Proven Experience in Automotive Fleet Servicing – Extensive experience as a Service Manager in a dealership, fleet management, or automotive servicing environment.
Leadership & Team Management – Strong ability to lead, coach, and develop a high-performing team of Fleet Servicing & Maintenance Technicians.
Operational & Project Management Expertise – Skilled in scheduling, resource allocation, and workflow optimisation to ensure efficient servicing operations.
Health & Safety Compliance Knowledge – Deep understanding of industry safety regulations, risk management, and compliance within fleet servicing environments.
Excellent Communication & Stakeholder Engagement – Ability to liaise effectively with internal teams, leadership, and external partners to align maintenance operations with business needs.
Customer-Centric & Results-Driven Mindset – Committed to maintaining high fleet availability and operational efficiency while meeting business objectives.
Data Analysis & Performance Optimization – Proficiency in tracking maintenance KPIs, analysing fleet performance data, and driving continuous improvements.
Process Development & Continuous Improvement – Experienced in refining servicing workflows, implementing best practices, and adopting new technologies to enhance efficiency.
Desirable:
Knowledge of ADAS technology and on-road testing requirements is highly advantageous.
L2 Automobile Mechanic certification.
Japanese language ability: JLPT N2 or above (fluent).
English language ability: Fluent.
Additional requirements:
This role is Monday to Friday.
On-site at our office in Tokyo and Yokohama.
All applications are required to disclose any second job as part of the application process.
All applications will be subject to a health check before/after.
Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nThe Fleet Service Manager is responsible for ensuring the seamless servicing, maintenance, and operational readiness of the autonomous vehicle fleet. Leading a team of Fleet Servicing & Maintenance Technicians, they oversee preventive and reactive maintenance, ensuring high fleet availability while adhering to strict safety and compliance standards. Their primary goal is to maximise vehicle uptime, optimise workshop operations, and drive efficiency in fleet servicing.\n\nThis role requires strong leadership, operational oversight, and close collaboration with Field Engineering Leads and Heads of Geo to align servicing efforts with business needs. While not a shift-based role, flexibility may be required to support urgent fleet servicing needs. As a critical player in a pioneering AV fleet servicing function, the Fleet Service Manager will drive best practices and innovation in next-generation vehicle maintenance.\n\nKey responsibilities:\n\n - Fleet Availability & Operational Efficiency – Ensure high vehicle uptime by optimising servicing/inspection schedules and minimising downtime.\n\n - Cost Control & Budget Management – Manage fleet maintenance costs, track expenditures, and implement cost-saving initiatives without impacting service quality.\n\n - Compliance, Safety & Regulatory Adherence – Ensure all servicing and maintenance operations comply with safety regulations, industry standards, and internal policies.\n\n - Fleet Upgrades & Deployment Coordination – Oversee mechanical and servicing-related upgrades while minimising operational disruptions.\n\n - Team Leadership & Workforce Management – Lead and develop Fleet Servicing & Maintenance Technicians, ensuring efficient servicing operations.\n\n - Data-Driven Decision Making & Reporting – Analyse fleet maintenance data to improve servicing schedules, reduce downtime, and enhance overall fleet performance.\n\n - Continuous Improvement & Best Practices – Drive efficiency improvements, implement best practices, and maintain industry-leading fleet servicing operations.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Fleet Service Manager at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Proven Experience in Automotive Fleet Servicing – Extensive experience as a Service Manager in a dealership, fleet management, or automotive servicing environment.\n\n - Leadership & Team Management – Strong ability to lead, coach, and develop a high-performing team of Fleet Servicing & Maintenance Technicians.\n\n - Operational & Project Management Expertise – Skilled in scheduling, resource allocation, and workflow optimisation to ensure efficient servicing operations.\n\n - Health & Safety Compliance Knowledge – Deep understanding of industry safety regulations, risk management, and compliance within fleet servicing environments.\n\n - Excellent Communication & Stakeholder Engagement – Ability to liaise effectively with internal teams, leadership, and external partners to align maintenance operations with business needs.\n\n - Customer-Centric & Results-Driven Mindset – Committed to maintaining high fleet availability and operational efficiency while meeting business objectives.\n\n - Data Analysis & Performance Optimization – Proficiency in tracking maintenance KPIs, analysing fleet performance data, and driving continuous improvements.\n\n - Process Development & Continuous Improvement – Experienced in refining servicing workflows, implementing best practices, and adopting new technologies to enhance efficiency.\n\nDesirable:\n\n - Knowledge of ADAS technology and on-road testing requirements is highly advantageous.\n\n - L2 Automobile Mechanic certification.\n\n - Japanese language ability: JLPT N2 or above (fluent).\n\n - English language ability: Fluent.\n\nAdditional requirements:\n\n - This role is Monday to Friday.\n\n - On-site at our office in Tokyo and Yokohama.\n\n - All applications are required to disclose any second job as part of the application process.\n\n - All applications will be subject to a health check before/after. \n\n - Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"71a660ac-cee2-421a-a49d-152c1b0315ba","title":"Technical Business Development Manager","department":"Product & Strategy","team":"Product & Strategy","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-06-17T07:50:00.579+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/71a660ac-cee2-421a-a49d-152c1b0315ba","applyUrl":"https://jobs.ashbyhq.com/wayve/71a660ac-cee2-421a-a49d-152c1b0315ba/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
As a Technical Business Development Manager at Wayve, you’ll play a pivotal role in scaling strategic OEM partnerships across Europe. You’ll own the front-end of major RFQ/RFI and pre-nomination activity—shaping how we position our autonomy and automotive software capabilities with customers. This is a highly cross-functional role, working closely with product and engineering to turn complex technical value into compelling customer outcomes. You’ll have direct exposure to senior customer stakeholders and the chance to materially influence commercial momentum in one of our priority geographies.
Key responsibilities:
Lead Europe-focused early-stage OEM engagements and drive opportunity strategy from first touch through pre-nomination phases
Own RFQ/RFI and bid responses end-to-end: clarify requirements, coordinate inputs, manage timelines, and deliver high-quality submissions
Partner with product, engineering, and technical leads to develop customer narratives, proposals, and supporting materials (decks, business cases, GTM content)
Present confidently to both working-level engineering teams and executive (C-level) stakeholders, tailoring messaging to audience needs
Operate effectively in a matrix organisation: align internal stakeholders on positioning, feasibility, and priorities to move opportunities forward
About you
In order to set you up for success as a Technical Business Development Manager (OEM / Tier-1 / Technology Partners) at Wayve, we’re looking for someone who can sit confidently at the intersection of deep automotive autonomy technology and complex commercial partnering. You’re as comfortable running a technical deep-dive with engineering teams as you are aligning executives on strategy, risk, and deal structure. You bring the judgement to translate product and engineering realities into clear customer commitments—and the drive to push opportunities from early discovery through PoC planning and ultimately toward nomination.
Essential
Automotive and/or automotive software background (must-have)
Strong understanding of OEM processes and commercial motion: RFQ/RFI, Tier 1/OEM dynamics, bidding, and pre-nomination workflows
Ability to understand, translate, and present technical materials credibly to technical and non-technical audiences
Proven ability to drive cross-functional execution in a matrix organisation (aligning product/engineering/commercial stakeholders)
Desirable
Experience working directly with European OEMs and navigating complex enterprise procurement and decision-making environments
Background in adjacent roles (e.g., solutions architecture, technical sales, or consulting) with demonstrated willingness to operate hands-on at detail level
Exposure to autonomy/ADAS, software-defined vehicles, or related domains (helpful, not required)
Act as a force multiplier across teams, orchestrating the right stakeholders to align on priorities, build conviction around outcomes, and accelerate execution against critical goals.
Highly adaptable, with the flexibility to travel and attend onsite meetings and events as business needs require.
#LI-MB1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nAs a Technical Business Development Manager at Wayve, you’ll play a pivotal role in scaling strategic OEM partnerships across Europe. You’ll own the front-end of major RFQ/RFI and pre-nomination activity—shaping how we position our autonomy and automotive software capabilities with customers. This is a highly cross-functional role, working closely with product and engineering to turn complex technical value into compelling customer outcomes. You’ll have direct exposure to senior customer stakeholders and the chance to materially influence commercial momentum in one of our priority geographies.\n\nKey responsibilities:\n\n - Lead Europe-focused early-stage OEM engagements and drive opportunity strategy from first touch through pre-nomination phases\n\n - Own RFQ/RFI and bid responses end-to-end: clarify requirements, coordinate inputs, manage timelines, and deliver high-quality submissions\n\n - Partner with product, engineering, and technical leads to develop customer narratives, proposals, and supporting materials (decks, business cases, GTM content)\n\n - Present confidently to both working-level engineering teams and executive (C-level) stakeholders, tailoring messaging to audience needs\n\n - Operate effectively in a matrix organisation: align internal stakeholders on positioning, feasibility, and priorities to move opportunities forward\n\nAbout you\n\nIn order to set you up for success as a Technical Business Development Manager (OEM / Tier-1 / Technology Partners) at Wayve, we’re looking for someone who can sit confidently at the intersection of deep automotive autonomy technology and complex commercial partnering. You’re as comfortable running a technical deep-dive with engineering teams as you are aligning executives on strategy, risk, and deal structure. You bring the judgement to translate product and engineering realities into clear customer commitments—and the drive to push opportunities from early discovery through PoC planning and ultimately toward nomination.\n\nEssential\n\n - Automotive and/or automotive software background (must-have)\n\n - Strong understanding of OEM processes and commercial motion: RFQ/RFI, Tier 1/OEM dynamics, bidding, and pre-nomination workflows\n\n - Ability to understand, translate, and present technical materials credibly to technical and non-technical audiences\n\n - Proven ability to drive cross-functional execution in a matrix organisation (aligning product/engineering/commercial stakeholders)\n\nDesirable\n\n - Experience working directly with European OEMs and navigating complex enterprise procurement and decision-making environments\n\n - Background in adjacent roles (e.g., solutions architecture, technical sales, or consulting) with demonstrated willingness to operate hands-on at detail level\n\n - Exposure to autonomy/ADAS, software-defined vehicles, or related domains (helpful, not required)\n\n - Act as a force multiplier across teams, orchestrating the right stakeholders to align on priorities, build conviction around outcomes, and accelerate execution against critical goals.\n\n - Highly adaptable, with the flexibility to travel and attend onsite meetings and events as business needs require.\n\n \n \n\n#LI-MB1\n\n \n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"14772671-3ba4-4430-b39e-b2967c183693","title":"Technical Product Manager - Robotaxi ","department":"Product & Strategy","team":"Product & Strategy","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-08-30T19:53:53.979+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/14772671-3ba4-4430-b39e-b2967c183693","applyUrl":"https://jobs.ashbyhq.com/wayve/14772671-3ba4-4430-b39e-b2967c183693/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
In this role, you will be responsible for driving the definition, development, and delivery of Wayve’s L4 autonomous driving solutions. You will own key product initiatives from concept through deployment, aligning Wayve’s AV2.0-based approach with OEMs, operational partners, and various other stakeholders.
As a Product Manager, you will work cross-functionally with R&D, safety, validation, and commercial teams to shape a scalable, reliable, user-centric AV product strategy. Your role will be essential in translating cutting-edge technical innovation—particularly in embodied AI and end-to-end learning—into market-ready features and capabilities. You will champion our customers and work in the intersection of consumer and deep tech, particularly in human interactions with embodied AI.
Key responsibilities:
Define and own the product roadmap for Level 4 autonomous driving features, aligning with company strategy, customer needs, and regulatory frameworks.
Work closely with design, system architects, software developers, validation teams, and safety experts to ensure delivery of safe and delightful customer experiences.
Take full end-to-end ownership of AV feature development, from concept definition through implementation, validation, and deployment in production.
Stay current with global AV trends, regulatory developments, and competitors to take the best product decisions.
Support verification & validationAct as the product lead in internal reviews and external engagements.
In order to set you up for success as a Product manager at Wayve, we’re looking for the following skills and experience.
Essential:
Proven track record of technical product management experience, shipping products with a consumer mindset in a very technical domain.
Strong written and verbal communication skills with demonstrated ability to work in cross-functional teams
Strong technical background in AI/ML, software engineering, robotics, or a related discipline.
Comfortable working in fast-paced, iterative environments with evolving priorities.
Full Fluency in Japanese and English
Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.
Desirable:
Experience owning end-to-end delivery of AV features, including collaboration with engineering, systems, safety, and validation teams.
Understanding of human-machine interaction (HMI), UX, or the broader robotaxi product
Knowledge of generative AI techniques, LLMs, or Software 2.0 methods as applied to autonomous driving or large-scale simulation.
Analytical, data driven
This is a full-time role based in our office in Yokohama / Tokyo, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nIn this role, you will be responsible for driving the definition, development, and delivery of Wayve’s L4 autonomous driving solutions. You will own key product initiatives from concept through deployment, aligning Wayve’s AV2.0-based approach with OEMs, operational partners, and various other stakeholders.\n\n\n\nAs a Product Manager, you will work cross-functionally with R&D, safety, validation, and commercial teams to shape a scalable, reliable, user-centric AV product strategy. Your role will be essential in translating cutting-edge technical innovation—particularly in embodied AI and end-to-end learning—into market-ready features and capabilities. You will champion our customers and work in the intersection of consumer and deep tech, particularly in human interactions with embodied AI.\n\n\nKey responsibilities:\n\n - Define and own the product roadmap for Level 4 autonomous driving features, aligning with company strategy, customer needs, and regulatory frameworks.\n\n - Work closely with design, system architects, software developers, validation teams, and safety experts to ensure delivery of safe and delightful customer experiences.\n\n - Take full end-to-end ownership of AV feature development, from concept definition through implementation, validation, and deployment in production.\n\n - Stay current with global AV trends, regulatory developments, and competitors to take the best product decisions.\n\n - Support verification & validationAct as the product lead in internal reviews and external engagements.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Product manager at Wayve, we’re looking for the following skills and experience.\n\nEssential:\n\n - Proven track record of technical product management experience, shipping products with a consumer mindset in a very technical domain. \n\n - Strong written and verbal communication skills with demonstrated ability to work in cross-functional teams\n\n - Strong technical background in AI/ML, software engineering, robotics, or a related discipline.\n\n - Comfortable working in fast-paced, iterative environments with evolving priorities.\n\n - Full Fluency in Japanese and English\n\n - Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field.\n\n\nDesirable:\n\n - Experience owning end-to-end delivery of AV features, including collaboration with engineering, systems, safety, and validation teams.\n\n - Understanding of human-machine interaction (HMI), UX, or the broader robotaxi product\n\n - Knowledge of generative AI techniques, LLMs, or Software 2.0 methods as applied to autonomous driving or large-scale simulation.\n\n - Analytical, data driven \n\nThis is a full-time role based in our office in Yokohama / Tokyo, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"71076eb1-b3e4-48cf-bfdc-3277027b9f1d","title":"ADAS Feature Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-06-05T09:47:47.254+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/71076eb1-b3e4-48cf-bfdc-3277027b9f1d","applyUrl":"https://jobs.ashbyhq.com/wayve/71076eb1-b3e4-48cf-bfdc-3277027b9f1d/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are looking for an ADAS Feature Engineer to help build the application-layer software that connects Wayve’s AI capabilities to real vehicle behaviour. This role sits at the intersection of AI, vehicle systems, active safety, and product delivery: you will develop C++ feature logic, validation tools, and system behaviours that allow AI-native driving technology to operate robustly in real-world vehicle environments. You will work closely with machine learning, product, vehicle integration, and systems teams to turn model outputs and vehicle data into reliable, testable, and customer-relevant ADAS features.
Design, implement, and maintain C++ application software for ADAS and active-safety-related vehicle features.
Build feature-level logic on top of AI / ML outputs, including validation, feasibility checks, state machines, fallback behaviours, and safety-aware decision logic.
Work with ML engineers to understand model outputs, limitations, failure modes, and how these translate into vehicle behaviour.
Use logs, simulation, replay, and vehicle testing to debug, tune, and validate feature behaviour.
Define and improve metrics, test cases, and validation strategies for ADAS feature performance, robustness, and quality.
Collaborate with product, systems, vehicle integration, and OEM-facing teams to translate requirements and real-world constraints into engineering solutions.
Support field testing and iterative development, including investigation of vehicle issues, edge cases, and performance gaps.
Contribute to software architecture, code quality, tooling, and engineering practices for feature development.
In order to set you up for success as an ADAS Feature Engineer at Wayve, we’re looking for the following skills and experience:
Essential
Strong C++ software engineering experience, ideally in production or safety-relevant systems.
Hands-on experience in ADAS, autonomous driving, robotics, vehicle software, active safety, or closely related domains.
Practical understanding of vehicle feature development, including real-world testing, simulation, replay, logs, or prototype vehicle debugging.
Ability to reason about vehicle behaviour, sensor/model inputs, timing, failure modes, and feature-level decision logic.
Experience working cross-functionally with teams such as ML, perception, planning, controls, vehicle integration, product, or systems engineering.
Strong problem-solving skills and the ability to make pragmatic engineering trade-offs under ambiguity.
A quality mindset, with experience writing testable, maintainable software and using data to validate behaviour.
Desirable
Experience with ADAS features such as AEB, ISA, AES, ACC, lane keeping, collision avoidance, trajectory validation, or active safety systems.
Experience at an automotive OEM, Tier 1 supplier, autonomous driving company, robotics company, or vehicle technology startup.
Familiarity with ML or AI-based autonomy systems, including how model outputs are consumed by downstream software.
Experience with ROS, Linux, Bazel, CMake, Docker, QNX, protobuf, MCAP, CAN, calibration, or vehicle logging systems.
Experience with vehicle test tracks, public-road testing, HIL/SIL, scenario-based testing, or NCAP-style validation.
Familiarity with tools used in automotive development and testing, such as CANoe, Vector tools, MicroAutoBox, or similar.
Japanese language skills are beneficial but not required.
The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
Competitive compensation and benefits
A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too
A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day
Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them
This is a full-time role based in our office in Tokyo. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
#LI-AF1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe are looking for an ADAS Feature Engineer to help build the application-layer software that connects Wayve’s AI capabilities to real vehicle behaviour. This role sits at the intersection of AI, vehicle systems, active safety, and product delivery: you will develop C++ feature logic, validation tools, and system behaviours that allow AI-native driving technology to operate robustly in real-world vehicle environments. You will work closely with machine learning, product, vehicle integration, and systems teams to turn model outputs and vehicle data into reliable, testable, and customer-relevant ADAS features.\n\n\nKEY RESPONSIBILITIES\n\n - Design, implement, and maintain C++ application software for ADAS and active-safety-related vehicle features.\n\n - Build feature-level logic on top of AI / ML outputs, including validation, feasibility checks, state machines, fallback behaviours, and safety-aware decision logic.\n\n - Work with ML engineers to understand model outputs, limitations, failure modes, and how these translate into vehicle behaviour.\n\n - Use logs, simulation, replay, and vehicle testing to debug, tune, and validate feature behaviour.\n\n - Define and improve metrics, test cases, and validation strategies for ADAS feature performance, robustness, and quality.\n\n - Collaborate with product, systems, vehicle integration, and OEM-facing teams to translate requirements and real-world constraints into engineering solutions.\n\n - Support field testing and iterative development, including investigation of vehicle issues, edge cases, and performance gaps.\n\n - Contribute to software architecture, code quality, tooling, and engineering practices for feature development.\n\n\nABOUT YOU\n\nIn order to set you up for success as an ADAS Feature Engineer at Wayve, we’re looking for the following skills and experience:\n\nEssential\n\n - Strong C++ software engineering experience, ideally in production or safety-relevant systems.\n\n - Hands-on experience in ADAS, autonomous driving, robotics, vehicle software, active safety, or closely related domains.\n\n - Practical understanding of vehicle feature development, including real-world testing, simulation, replay, logs, or prototype vehicle debugging.\n\n - Ability to reason about vehicle behaviour, sensor/model inputs, timing, failure modes, and feature-level decision logic.\n\n - Experience working cross-functionally with teams such as ML, perception, planning, controls, vehicle integration, product, or systems engineering.\n\n - Strong problem-solving skills and the ability to make pragmatic engineering trade-offs under ambiguity.\n\n - A quality mindset, with experience writing testable, maintainable software and using data to validate behaviour.\n\n\nDesirable\n\n - Experience with ADAS features such as AEB, ISA, AES, ACC, lane keeping, collision avoidance, trajectory validation, or active safety systems.\n\n - Experience at an automotive OEM, Tier 1 supplier, autonomous driving company, robotics company, or vehicle technology startup.\n\n - Familiarity with ML or AI-based autonomy systems, including how model outputs are consumed by downstream software.\n\n - Experience with ROS, Linux, Bazel, CMake, Docker, QNX, protobuf, MCAP, CAN, calibration, or vehicle logging systems.\n\n - Experience with vehicle test tracks, public-road testing, HIL/SIL, scenario-based testing, or NCAP-style validation.\n\n - Familiarity with tools used in automotive development and testing, such as CANoe, Vector tools, MicroAutoBox, or similar.\n\n - Japanese language skills are beneficial but not required.\n\n\nWHAT WE OFFER YOU\n\n - The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact\n\n - Competitive compensation and benefits\n\n - A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too\n\n - A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day\n\n - Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets\n\n - At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them\n\nThis is a full-time role based in our office in Tokyo. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\n\n#LI-AF1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"b9ba05c1-ad3e-4827-ab76-bc0acec1af3f","title":"NPI Engineer","department":"Hardware & Supply Chain","team":"Hardware & Supply Chain","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-05-12T16:15:46.223+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/b9ba05c1-ad3e-4827-ab76-bc0acec1af3f","applyUrl":"https://jobs.ashbyhq.com/wayve/b9ba05c1-ad3e-4827-ab76-bc0acec1af3f/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
As the NPI Engineer, you lead the successful rollout of new hardware / software products and relevant features. This role is responsible for bridging product development, engineering, safety, fleet operations to ensure seamless launches that meet performance, quality, and user adoption goals. You will be the lead ensuring our cross functional teams deliver new hardware / software solutions that are production-ready and scalable to accelerate the AI development loop.
Key Responsibilities:
Drive the relative programs towards an agile hardware/software development cycle to meet the program-level milestones
Develop and refine a scalable NPI framework tailored to agile hardware/software development cycles.
Partner closely with product managers and engineering leads to ensure development roadmaps align with release readiness criteria, quality standards, and operational scalability.
Coordinate launch readiness across Field Engineering, Reliability Engineering, and Fleet Operations to ensure smooth transition of new products.
Collaborate with Supply Chain to review and implement the supply chain footprint for scalability of the product.
Oversee release planning milestones including alpha, beta, and phased rollout strategies.
Implement feedback loops from internal stakeholders and early adopters to rapidly address issues before and after release.
Lead retrospectives and process improvements post-launch to refine future NPI practices.
About you
Essential:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
5+ years of experience in hardware/software product development, technical program management, or product operations, with at least 3 years in an NPI.
Understanding of modern software development practices (e.g., Agile, CI/CD, DevOps).
Understanding of hardware development practices (BOM, Manufacturing Readiness, SOPs, Process development)
Team player effective at cross-functional collaboration with teams of varying technical backgrounds
Strong analytical skills and the ability to evaluate the impact of sensor data on model performance
Excellent communication and collaboration skills, with a proven ability to work effectively across teams
Desirable:
Experience with project management tools (e.g., Jira, Confluence, Notion) and release engineering
ADAS or Autonomous Vehicle Experience
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $246,400 to $333,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\n \n\nAs the NPI Engineer, you lead the successful rollout of new hardware / software products and relevant features. This role is responsible for bridging product development, engineering, safety, fleet operations to ensure seamless launches that meet performance, quality, and user adoption goals. You will be the lead ensuring our cross functional teams deliver new hardware / software solutions that are production-ready and scalable to accelerate the AI development loop. \n\n \n\nKey Responsibilities:\n\n - Drive the relative programs towards an agile hardware/software development cycle to meet the program-level milestones\n\n - Develop and refine a scalable NPI framework tailored to agile hardware/software development cycles.\n\n - Partner closely with product managers and engineering leads to ensure development roadmaps align with release readiness criteria, quality standards, and operational scalability.\n\n - Coordinate launch readiness across Field Engineering, Reliability Engineering, and Fleet Operations to ensure smooth transition of new products.\n\n - Collaborate with Supply Chain to review and implement the supply chain footprint for scalability of the product.\n\n - Oversee release planning milestones including alpha, beta, and phased rollout strategies.\n\n - Implement feedback loops from internal stakeholders and early adopters to rapidly address issues before and after release.\n\n - Lead retrospectives and process improvements post-launch to refine future NPI practices.\n\n \n\nAbout you\n\n \n\nEssential:\n\n - Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.\n\n - 5+ years of experience in hardware/software product development, technical program management, or product operations, with at least 3 years in an NPI.\n\n - Understanding of modern software development practices (e.g., Agile, CI/CD, DevOps).\n\n - Understanding of hardware development practices (BOM, Manufacturing Readiness, SOPs, Process development)\n\n - Team player effective at cross-functional collaboration with teams of varying technical backgrounds\n\n - Strong analytical skills and the ability to evaluate the impact of sensor data on model performance\n\n - Excellent communication and collaboration skills, with a proven ability to work effectively across teams\n\n \n\nDesirable: \n\n - Experience with project management tools (e.g., Jira, Confluence, Notion) and release engineering\n\n - ADAS or Autonomous Vehicle Experience\n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $246,400 to $333,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"595b0914-05a7-499a-83e5-c1cf991ff393","title":"Supply Chain Program Manager","department":"Hardware & Supply Chain","team":"Hardware & Supply Chain","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-05-12T16:22:51.416+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/595b0914-05a7-499a-83e5-c1cf991ff393","applyUrl":"https://jobs.ashbyhq.com/wayve/595b0914-05a7-499a-83e5-c1cf991ff393/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Supply Chain Program Manager is a critical cross-functional role responsible for owning end-to-end supply chain execution across assigned programs and product builds at Wayve. This includes prototype development, new product introduction (NPI), and supporting fleet launches.
This role serves as the primary Supply Chain lead ensuring meeting program deliverables, supplier compliance, and seamless coordination across Engineering, Operations, Manufacturing, and external partners. The ideal candidate thrives in a fast-moving, hardware-driven environment and brings both strategic thinking and hands-on execution capability.
The role works cross-functionally with Engineering, Planning, Sourcing, Logistics, Finance, Legal, and Suppliers, and partners closely with global upfitters and third-party integration partners (spanning the US, UK, and other regions) to ensure vehicle and program timelines are met.
Act as the primary Supply Chain lead for assigned programs or internal product builds (e.g., prototypes, new product introduction, subassembly).
Own end-to-end material readiness to support program milestones across R&D, Engineering, Operations, and Manufacturing.
Collaborate closely with Engineering, Planning, Sourcing, Logistics, Finance, and Suppliers to align supply chain activities with program timelines.
Act as the strategic liaison between hardware engineering and the procurement teams, managing demand aggregation.
Translate engineering BOMs and aggregate Technical Program Manager demand into procurement plans
Identify long-lead items and critical path components early in the product lifecycle.
Track material status through build phases and escalate gaps or risks proactively.
Collaborating with Supply Chain Team Leads to ensure direct purchasing, indirect purchasing, and logistics suppliers are meeting compliance requirements, including legal, environmental, regulatory (e.g., TISAX, ISO), and ethical sourcing standards.
Partner with legal and compliance teams to ensure appropriate supplier agreements, NDAs, and risk controls are in place.
Develop contingency plans for supply disruptions and actively manage supply chain risks.
Serve as the primary program manager for upfitter and partner relationships, ensuring alignment across all stakeholders.
Drive upfitter/partner activities to ensure vehicles meet overall program timelines and quality standards.
Proactively identify and resolve issues impacting vehicle build readiness, coordinating between internal teams and external partners.
Maintain clear communication cadence with upfitters and stakeholders, tracking milestones and escalating risks as needed.
Define, track, and report on key supply chain performance metrics including, material availability, total cost saving, inventory cycle count accuracy.
Establish program-level supply chain dashboards and reporting cadences to provide visibility to leadership and cross-functional stakeholders.
Analyse KPI trends to identify root causes of supply chain underperformance and drive corrective actions with suppliers and internal teams.
Leverage KPI insights to continuously improve supply chain processes, reduce waste, and increase overall program efficiency.
10+ years of progressive experience in supply chain program management, NPI, and hardware operations
Strong understanding of BOM management, material planning, and procurement processes.
Automotive, consumer, hardware, or robotic industry experience preferred
Familiarity with supplier compliance frameworks including TISAX, ISO standards, and ethical sourcing requirements.
Demonstrated ability to manage cross-functional programs across Engineering, Operations, and Supply Chain.
Strong analytical, problem-solving, and risk management skills.
Excellent communication and stakeholder management capabilities.
Ability to travel internationally as needed
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $184,200 to 240,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nABOUT THE ROLE\n\nThe Supply Chain Program Manager is a critical cross-functional role responsible for owning end-to-end supply chain execution across assigned programs and product builds at Wayve. This includes prototype development, new product introduction (NPI), and supporting fleet launches.\n\nThis role serves as the primary Supply Chain lead ensuring meeting program deliverables, supplier compliance, and seamless coordination across Engineering, Operations, Manufacturing, and external partners. The ideal candidate thrives in a fast-moving, hardware-driven environment and brings both strategic thinking and hands-on execution capability.\n\nThe role works cross-functionally with Engineering, Planning, Sourcing, Logistics, Finance, Legal, and Suppliers, and partners closely with global upfitters and third-party integration partners (spanning the US, UK, and other regions) to ensure vehicle and program timelines are met.\n\n\nKEY RESPONSIBILITIES\n\n\nPROGRAM OWNERSHIP & CROSS-FUNCTIONAL COORDINATION\n\n - Act as the primary Supply Chain lead for assigned programs or internal product builds (e.g., prototypes, new product introduction, subassembly).\n\n - Own end-to-end material readiness to support program milestones across R&D, Engineering, Operations, and Manufacturing.\n\n - Collaborate closely with Engineering, Planning, Sourcing, Logistics, Finance, and Suppliers to align supply chain activities with program timelines.\n\n - Act as the strategic liaison between hardware engineering and the procurement teams, managing demand aggregation. \n\n\nMATERIAL PLANNING & READINESS\n\n - Translate engineering BOMs and aggregate Technical Program Manager demand into procurement plans\n\n - Identify long-lead items and critical path components early in the product lifecycle.\n\n - Track material status through build phases and escalate gaps or risks proactively.\n\n\nCOMPLIANCE & RISK MANAGEMENT\n\n - Collaborating with Supply Chain Team Leads to ensure direct purchasing, indirect purchasing, and logistics suppliers are meeting compliance requirements, including legal, environmental, regulatory (e.g., TISAX, ISO), and ethical sourcing standards.\n\n - Partner with legal and compliance teams to ensure appropriate supplier agreements, NDAs, and risk controls are in place.\n\n - Develop contingency plans for supply disruptions and actively manage supply chain risks.\n\n\nPROGRAM MANAGING UPFITTER / PARTNER\n\n - Serve as the primary program manager for upfitter and partner relationships, ensuring alignment across all stakeholders.\n\n - Drive upfitter/partner activities to ensure vehicles meet overall program timelines and quality standards.\n\n - Proactively identify and resolve issues impacting vehicle build readiness, coordinating between internal teams and external partners.\n\n - Maintain clear communication cadence with upfitters and stakeholders, tracking milestones and escalating risks as needed.\n\n\n SUPPLY CHAIN KPI MANAGEMENT\n\n - Define, track, and report on key supply chain performance metrics including, material availability, total cost saving, inventory cycle count accuracy.\n\n - Establish program-level supply chain dashboards and reporting cadences to provide visibility to leadership and cross-functional stakeholders.\n\n - Analyse KPI trends to identify root causes of supply chain underperformance and drive corrective actions with suppliers and internal teams.\n\n - Leverage KPI insights to continuously improve supply chain processes, reduce waste, and increase overall program efficiency.\n\n\nSKILLS & QUALIFICATIONS\n\n - 10+ years of progressive experience in supply chain program management, NPI, and hardware operations\n\n - Strong understanding of BOM management, material planning, and procurement processes.\n\n - Automotive, consumer, hardware, or robotic industry experience preferred\n\n - Familiarity with supplier compliance frameworks including TISAX, ISO standards, and ethical sourcing requirements.\n\n - Demonstrated ability to manage cross-functional programs across Engineering, Operations, and Supply Chain.\n\n - Strong analytical, problem-solving, and risk management skills.\n\n - Excellent communication and stakeholder management capabilities.\n\n - Ability to travel internationally as needed\n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $184,200 to 240,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"01b0ff59-b59a-4581-8164-93747a27a417","title":"System Test Automation Engineer, HIL","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-05-19T17:53:44.324+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/01b0ff59-b59a-4581-8164-93747a27a417","applyUrl":"https://jobs.ashbyhq.com/wayve/01b0ff59-b59a-4581-8164-93747a27a417/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve's Verification and Release Test team sits at the intersection of Hardware, Embedded Software, and Machine Learning Models. Testing spans component, system, and vehicle levels, and we pride ourselves on finding the most efficient and effective ways to deliver the most valuable results for the company.
As a System Test Automation Engineer, you'll independently own the design and delivery of automated verification for a defined area of our embedded software stack. You'll build robust, reusable test automation, drive failures to root cause across engineering boundaries, and steadily raise the bar on coverage, reliability, and traceability. This is a hands-on delivery role with room to grow into broader areas of the system including sensing and model-behaviour testing as the company and your experience evolve. The ideal candidate is a self-starter with a sharp eye for improvement across multiple engineering domains.
Develop automation for system functionality tests at component, integration, and system levels, across software and hardware boundaries.
Automate open-loop and closed-loop replay based Tests, reliability and fault-injection tests to support verification, release, coverage expansion, and debug workflows.
Lead root-cause investigations for failures found during test campaigns, collaborating across hardware, software, and infrastructure teams.
Optimise buildkite CI/CD-integrated test workflows for rapid, reliable, and repeatable execution.
Integrate third-party verification tools including JAMA (requirements), MC/DC (coverage), and MISRA (style compliance); manage artefacts via Artifactory and Azure.
Define and track KPIs and quality metrics for system testing, supporting data-driven validation and release decisions.
Uncover software and hardware bugs through increased test coverage and report findings through JIRA.
Identify and implement infrastructure improvements that enhance test coverage, failure traceability, and compliance reporting.
Review, create, and adhere to Risk Assessments to ensure all testing activities are conducted safely and responsibly.
To set you up for success as a System Test Automation Engineer at Wayve, we're looking for the following skills and experience.
Hands-on experience with system-level verification and validation in robotics, embedded software, or mechatronic systems, with a track record of delivering test automation independently.
Experience with L2+ hands-off, L3, or L4 automated driving systems.
Knowledge of consumer safety-rating protocols (e.g., Euro NCAP -AEB, LSS/LKA, ADAS scenarios), DCAS regulatory testing (UN R171), and automotive cybersecurity testing and standards (ISO/SAE 21434, UN R155).
Experience with HiL testing and tooling using CAN, Ethernet, GMSL, dSPACE, Vector, Xylon, or similar.
Strong proficiency in Python, including developing automation test frameworks with pytest.
Proven ability in interface-level testing, including hardware/software interactions and embedded interfaces.
Experience integrating software quality assurance tools and standards (ASPICE, SOTIF, ISO 26262, JAMA, X-RAY).
Knowledge of open- and closed-loop HiL replay using dSPACE or other emulators.
Proficient in CI/CD principles and related tooling (e.g., GitLab CI, Buildkite, Bazel).
Experience with test automation dashboards, logging, and reporting infrastructure (e.g., Grafana, Looker, Datadog, JIRA).
Experience developing or testing automotive software across embedded and system levels.
Strong cross-functional communication skills; able to work collaboratively across software, hardware, autonomy, DevOps, and product teams.
Experience with autonomous vehicle systems, ADAS, or related technologies..
Strong Python Automation and knowledge of dSPACE open and closed Loop HIL based replay Testing
Experience contributing to continuous improvement of test methods, safety procedures, or operational efficiency.
Awareness of data management and version control systems (e.g., Git, Buildkite, or similar).
Familiarity with agentic AI coding tools (e.g., Cursor, Claude Code) and a demonstrated ability to use them to accelerate and optimise test development, debugging, and automation workflows.
This is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWayve's Verification and Release Test team sits at the intersection of Hardware, Embedded Software, and Machine Learning Models. Testing spans component, system, and vehicle levels, and we pride ourselves on finding the most efficient and effective ways to deliver the most valuable results for the company.\n\nAs a System Test Automation Engineer, you'll independently own the design and delivery of automated verification for a defined area of our embedded software stack. You'll build robust, reusable test automation, drive failures to root cause across engineering boundaries, and steadily raise the bar on coverage, reliability, and traceability. This is a hands-on delivery role with room to grow into broader areas of the system including sensing and model-behaviour testing as the company and your experience evolve. The ideal candidate is a self-starter with a sharp eye for improvement across multiple engineering domains.\n\n\nKEY RESPONSIBILITIES\n\n - Develop automation for system functionality tests at component, integration, and system levels, across software and hardware boundaries.\n\n - Automate open-loop and closed-loop replay based Tests, reliability and fault-injection tests to support verification, release, coverage expansion, and debug workflows.\n\n - Lead root-cause investigations for failures found during test campaigns, collaborating across hardware, software, and infrastructure teams.\n\n - Optimise buildkite CI/CD-integrated test workflows for rapid, reliable, and repeatable execution.\n\n - Integrate third-party verification tools including JAMA (requirements), MC/DC (coverage), and MISRA (style compliance); manage artefacts via Artifactory and Azure.\n\n - Define and track KPIs and quality metrics for system testing, supporting data-driven validation and release decisions.\n\n - Uncover software and hardware bugs through increased test coverage and report findings through JIRA.\n\n - Identify and implement infrastructure improvements that enhance test coverage, failure traceability, and compliance reporting.\n\n - Review, create, and adhere to Risk Assessments to ensure all testing activities are conducted safely and responsibly.\n\n\nABOUT YOU\n\nTo set you up for success as a System Test Automation Engineer at Wayve, we're looking for the following skills and experience.\n\n\nESSENTIAL SKILLS & EXPERIENCE\n\n - Hands-on experience with system-level verification and validation in robotics, embedded software, or mechatronic systems, with a track record of delivering test automation independently.\n\n - Experience with L2+ hands-off, L3, or L4 automated driving systems.\n\n - Knowledge of consumer safety-rating protocols (e.g., Euro NCAP -AEB, LSS/LKA, ADAS scenarios), DCAS regulatory testing (UN R171), and automotive cybersecurity testing and standards (ISO/SAE 21434, UN R155).\n\n - Experience with HiL testing and tooling using CAN, Ethernet, GMSL, dSPACE, Vector, Xylon, or similar.\n\n - Strong proficiency in Python, including developing automation test frameworks with pytest.\n\n - Proven ability in interface-level testing, including hardware/software interactions and embedded interfaces.\n\n - Experience integrating software quality assurance tools and standards (ASPICE, SOTIF, ISO 26262, JAMA, X-RAY).\n\n - Knowledge of open- and closed-loop HiL replay using dSPACE or other emulators.\n\n - Proficient in CI/CD principles and related tooling (e.g., GitLab CI, Buildkite, Bazel).\n\n - Experience with test automation dashboards, logging, and reporting infrastructure (e.g., Grafana, Looker, Datadog, JIRA).\n\n - Experience developing or testing automotive software across embedded and system levels.\n\n - Strong cross-functional communication skills; able to work collaboratively across software, hardware, autonomy, DevOps, and product teams.\n\n\nDESIRABLE SKILLS & EXPERIENCE\n\n - Experience with autonomous vehicle systems, ADAS, or related technologies..\n\n - Strong Python Automation and knowledge of dSPACE open and closed Loop HIL based replay Testing \n\n - Experience contributing to continuous improvement of test methods, safety procedures, or operational efficiency.\n\n - Awareness of data management and version control systems (e.g., Git, Buildkite, or similar).\n\n - Familiarity with agentic AI coding tools (e.g., Cursor, Claude Code) and a demonstrated ability to use them to accelerate and optimise test development, debugging, and automation workflows.\n\n \n\nThis is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"3b52df06-01a9-46e5-b37e-562400d02e10","title":"Shift Lead","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Yokohama, Japan","secondaryLocations":[],"publishedAt":"2026-05-23T07:40:05.387+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/3b52df06-01a9-46e5-b37e-562400d02e10","applyUrl":"https://jobs.ashbyhq.com/wayve/3b52df06-01a9-46e5-b37e-562400d02e10/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Shift leads are frontline operational leaders responsible for the safe, efficient, and high-performing execution of Wayve’s autonomous driving operations in Japan. Responsible for ensuring daily operations are conducted with the highest levels of safety and efficiency. They play a crucial role in fostering an inclusive working environment where Vehicle Safety Operators (VSOs) feel their ideas are valued and can voice safety concerns without fear. You will work directly within a cutting-edge autonomous vehicle testing environment, partnering with engineering, fleet operations, and automotive stakeholders to support real-world AI development.
We currently have two operational sites in Japan to carry out on-road testing and development operations: one in Yokohama and one in Tokyo Ryutsu Centre, which is near Haneda Airport. This role operates across both of Wayve’s Japan operational hubs, offering exposure to a wide range of testing and operational activities.
This role will be a dedicated shift role. Flexibility outside standard hours may occasionally be required to support testing activities, customer operations, or critical operational events.
As Wayve scales in Japan, this role offers a pathway into broader operations, program management, and leadership responsibilities.
As a Shift Lead, you will be responsible for leading a team of Vehicle Safety Operators (VSOs) to deliver safe, high-quality, and efficient on-road testing operations
Leadership and Supervision: Lead and support a growing team of VSOs during live testing operations, driving high standards of professionalism, communication, safety, and execution. To do so, you will work closely with cross-functional teams including Fleet Management, Quality Assurance, and Office Management.
Operational Management: Own shift execution across active fleet operations, coordinating people, vehicles, schedules, and operational priorities in real time., ensuring they meet the company's standards and goals. This includes managing work schedules, assigning tasks, and monitoring performance.
Performance management: Line manage a group of VSOs who will operate across a rostered shift pattern, ensuring that you have face-to-face, documented contact with each member at least on a monthly basis.
Customer Engagement: Act as an operational point of contact for selected OEM and partner activities, helping ensure smooth execution and professional stakeholder coordination.
Safety and Compliance: Ensure all operations comply with company policies and legal regulations. Promote a safe work environment by enforcing safety protocols.
Quality Control: Support high-quality data collection and testing execution by identifying operational issues, escalating risks, and maintaining testing standards.
Problem Solving: Make real-time operational decisions in fast-moving environments, balancing safety, efficiency, and testing priorities.
Communication: Serve as the operational lead during shift hours, ensuring clear communication and coordination across Fleet Operations and cross-functional teams.
Reporting and Documentation: Maintain accurate operational reporting, incident documentation, and shift handovers to support continuous improvement and operational visibility.
Incident Management: Provide the initial point of contact for an on-road incident and initial ‘Operations Officer’ as per the company Major Incident Management Plan.
Training and Development: Coordinate individual and collective training and development events with the Quality Assurance team.
Continuous Improvement: Identify opportunities to improve operational processes, utilisation, and team effectiveness as Wayve scales in Japan.
In order to set you up for success as a Shift Lead at Wayve, we’re looking for the following skills and experience.
Essential:
You must be fluent in English and Japanese
You stay calm, decisive, and professional in fast-paced operational environments
You are open to feedback and continuously seek to improve your performance and leadership skills
You enjoy working with people, thriving in a team environment
You are able to maintain professionalism and sound judgement in high-pressure operational environments.
Proven experience as a team coordinator or similar role in fast-moving environments (mobility, logistics, transportation, aviation, hospitality, field operations, etc.)
Strong communication and stakeholder management skills across frontline teams and cross-functional partners
Ability to work under pressure and manage multiple priorities.
Excellent problem-solving skills and attention to detail.
Proficiency in Google Workspace or Microsoft Office suite
Additional Requirements:
All applications are required to disclose any second job as part of the application process.
All applications will be subject to a health check before/after.
Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nShift leads are frontline operational leaders responsible for the safe, efficient, and high-performing execution of Wayve’s autonomous driving operations in Japan. Responsible for ensuring daily operations are conducted with the highest levels of safety and efficiency. They play a crucial role in fostering an inclusive working environment where Vehicle Safety Operators (VSOs) feel their ideas are valued and can voice safety concerns without fear. You will work directly within a cutting-edge autonomous vehicle testing environment, partnering with engineering, fleet operations, and automotive stakeholders to support real-world AI development.\n\n\nLOCATION EXPECTATIONS:\n\nWe currently have two operational sites in Japan to carry out on-road testing and development operations: one in Yokohama and one in Tokyo Ryutsu Centre, which is near Haneda Airport. This role operates across both of Wayve’s Japan operational hubs, offering exposure to a wide range of testing and operational activities.\n\nThis role will be a dedicated shift role. Flexibility outside standard hours may occasionally be required to support testing activities, customer operations, or critical operational events.\n\nAs Wayve scales in Japan, this role offers a pathway into broader operations, program management, and leadership responsibilities.\n\n\nROLES AND RESPONSIBILITIES:\n\nAs a Shift Lead, you will be responsible for leading a team of Vehicle Safety Operators (VSOs) to deliver safe, high-quality, and efficient on-road testing operations\n\n - Leadership and Supervision: Lead and support a growing team of VSOs during live testing operations, driving high standards of professionalism, communication, safety, and execution. To do so, you will work closely with cross-functional teams including Fleet Management, Quality Assurance, and Office Management.\n\n - Operational Management: Own shift execution across active fleet operations, coordinating people, vehicles, schedules, and operational priorities in real time., ensuring they meet the company's standards and goals. This includes managing work schedules, assigning tasks, and monitoring performance.\n\n - Performance management: Line manage a group of VSOs who will operate across a rostered shift pattern, ensuring that you have face-to-face, documented contact with each member at least on a monthly basis.\n\n - Customer Engagement: Act as an operational point of contact for selected OEM and partner activities, helping ensure smooth execution and professional stakeholder coordination.\n\n - Safety and Compliance: Ensure all operations comply with company policies and legal regulations. Promote a safe work environment by enforcing safety protocols.\n\n - Quality Control: Support high-quality data collection and testing execution by identifying operational issues, escalating risks, and maintaining testing standards.\n\n - Problem Solving: Make real-time operational decisions in fast-moving environments, balancing safety, efficiency, and testing priorities.\n\n - Communication: Serve as the operational lead during shift hours, ensuring clear communication and coordination across Fleet Operations and cross-functional teams.\n\n - Reporting and Documentation: Maintain accurate operational reporting, incident documentation, and shift handovers to support continuous improvement and operational visibility.\n\n - Incident Management: Provide the initial point of contact for an on-road incident and initial ‘Operations Officer’ as per the company Major Incident Management Plan.\n\n - Training and Development: Coordinate individual and collective training and development events with the Quality Assurance team.\n\n - Continuous Improvement: Identify opportunities to improve operational processes, utilisation, and team effectiveness as Wayve scales in Japan.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Shift Lead at Wayve, we’re looking for the following skills and experience. \n\nEssential:\n\n - You must be fluent in English and Japanese \n\n - You stay calm, decisive, and professional in fast-paced operational environments\n\n - You are open to feedback and continuously seek to improve your performance and leadership skills\n\n - You enjoy working with people, thriving in a team environment\n\n - You are able to maintain professionalism and sound judgement in high-pressure operational environments.\n\n - Proven experience as a team coordinator or similar role in fast-moving environments (mobility, logistics, transportation, aviation, hospitality, field operations, etc.)\n\n - Strong communication and stakeholder management skills across frontline teams and cross-functional partners\n\n - Ability to work under pressure and manage multiple priorities.\n\n - Excellent problem-solving skills and attention to detail.\n\n - Proficiency in Google Workspace or Microsoft Office suite\n\nAdditional Requirements:\n\n - All applications are required to disclose any second job as part of the application process.\n\n - All applications will be subject to a health check before/after.\n\n - Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"48df3547-5f9c-48f9-9e02-7db22d3bbc68","title":"Staff ML Performance Engineer (Training Efficiency)","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-02-26T16:36:07.970+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/48df3547-5f9c-48f9-9e02-7db22d3bbc68","applyUrl":"https://jobs.ashbyhq.com/wayve/48df3547-5f9c-48f9-9e02-7db22d3bbc68/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are looking for a Staff ML Performance Engineer to join our Training Tech team working on optimizing large scale ML jobs to enable scaling our models to the next order of magnitude. A successful candidate will increase efficiency of training and inference workloads in order to allow Wayve to train larger models faster.
Key responsibilities:
Profile ML workloads to identify their bottlenecks, e.g. using NVIDIA Nsight Systems
Design and implement efficiency improvements to maximize MFU and throughput, e.g. parallelism, model compilation, mixed precision
Design and implement observability tools to identify bottlenecks and drive performance improvements, e.g. to track MFU, throughput, latency, etc
Design and implement benchmarking tools, e.g. to track efficiency gains or regressions
Collaborate closely with Research teams to integrate training efficiency improvements and create a culture of performance optimization
In order to set you up for success in this role, we’re looking for the following skills and experience.
Essential
10+ years of industry experience driving performance engineering across ML systems, GPU compute infrastructure, distributed platforms or similar field.
Experience optimizing large scale jobs on GPU compute clusters.
Experience in working in platform teams and working with research teams.
Experience in writing, reporting, and tracking performance benchmarks in an open and accessible way.
Ability to write high quality, well-structured and tested Python code
BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience
Desirable
Experience working with concurrent, parallel and distributed computing.
Experience using NVIDIA NSight Systems or other system profilers.
Experience implementing GPU kernels (CUDA, Triton, etc).
Knowledge of computing fundamentals - what makes code fast, secure and reliable.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $359,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
#LI-HH1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe are looking for a Staff ML Performance Engineer to join our Training Tech team working on optimizing large scale ML jobs to enable scaling our models to the next order of magnitude. A successful candidate will increase efficiency of training and inference workloads in order to allow Wayve to train larger models faster.\n\nKey responsibilities:\n\n - Profile ML workloads to identify their bottlenecks, e.g. using NVIDIA Nsight Systems\n\n - Design and implement efficiency improvements to maximize MFU and throughput, e.g. parallelism, model compilation, mixed precision\n\n - Design and implement observability tools to identify bottlenecks and drive performance improvements, e.g. to track MFU, throughput, latency, etc\n\n - Design and implement benchmarking tools, e.g. to track efficiency gains or regressions\n\n - Collaborate closely with Research teams to integrate training efficiency improvements and create a culture of performance optimization\n\n\nABOUT YOU\n\nIn order to set you up for success in this role, we’re looking for the following skills and experience.\n\nEssential\n\n - 10+ years of industry experience driving performance engineering across ML systems, GPU compute infrastructure, distributed platforms or similar field.\n\n - Experience optimizing large scale jobs on GPU compute clusters.\n\n - Experience in working in platform teams and working with research teams.\n\n - Experience in writing, reporting, and tracking performance benchmarks in an open and accessible way.\n\n - Ability to write high quality, well-structured and tested Python code\n\n - BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience\n\nDesirable\n\n - Experience working with concurrent, parallel and distributed computing.\n\n - Experience using NVIDIA NSight Systems or other system profilers.\n\n - Experience implementing GPU kernels (CUDA, Triton, etc).\n\n - Knowledge of computing fundamentals - what makes code fast, secure and reliable.\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $359,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\n#LI-HH1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"a5c6ce9e-762f-4c83-a6ae-b0cbc022295b","title":"Machine Learning Manager, App SW","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-02-20T14:33:16.759+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/a5c6ce9e-762f-4c83-a6ae-b0cbc022295b","applyUrl":"https://jobs.ashbyhq.com/wayve/a5c6ce9e-762f-4c83-a6ae-b0cbc022295b/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We're looking for an exceptional technical leader to spearhead our new Japan-based Application Engineer team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the Japanese market. This is a unique opportunity to shape Wayve’s AV capabilities in Japan from the ground up.
Here you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for Japan’s road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.
Given the geographical and time zone distance from our London HQ, your team will operate with significant autonomy. We’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts.
This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus.
Key Responsibilities:
Build and lead a self-sufficient AV development team in Japan, hiring and mentoring top talent across robotics and ML.
Deliver autonomy capabilities tailored to Japanese road conditions and driving norms, in close collaboration with central Autonomy teams.
Act as the primary technical and operational bridge between the Japan office and HQ, aligning roadmaps and communicating local insights.
Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.
Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence.
Work closely with OEM partners in Japan — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.
Establish close working relationships with our product and vehicle operations teams in Japan.
In order to set you up for success as a ML Engineering Manager at Wayve, we’re looking for the following skills and experience.
Essential
A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.
Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.
Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.
Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones.
Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.
Desirable
Prior experience in autonomous vehicles or robotic systems operating at scale.
Familiarity with Japan’s road environment, driving behaviour, or AV regulatory landscape.
A strong foundation in machine learning and its application to real-time decision-making or perception systems
Japanese language proficiency (not required, but useful for day-to-day coordination).
This is a full-time role based in our office. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\n THE ROLE \n\nWe're looking for an exceptional technical leader to spearhead our new Japan-based Application Engineer team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the Japanese market. This is a unique opportunity to shape Wayve’s AV capabilities in Japan from the ground up.\n\nHere you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You'll drive development of autonomy features tailored for Japan’s road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.\n\nGiven the geographical and time zone distance from our London HQ, your team will operate with significant autonomy. We’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts.\n\nThis role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that's a major plus.\n\n\n\nKey Responsibilities:\n\n - Build and lead a self-sufficient AV development team in Japan, hiring and mentoring top talent across robotics and ML.\n\n - Deliver autonomy capabilities tailored to Japanese road conditions and driving norms, in close collaboration with central Autonomy teams.\n\n - Act as the primary technical and operational bridge between the Japan office and HQ, aligning roadmaps and communicating local insights.\n\n - Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.\n\n - Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence.\n\n - Work closely with OEM partners in Japan — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.\n\n - Establish close working relationships with our product and vehicle operations teams in Japan.\n \n \n\n\nABOUT YOU \n\nIn order to set you up for success as a ML Engineering Manager at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.\n\n - Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.\n\n - Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.\n\n - Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.\n\n - Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones.\n\n - Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.\n\nDesirable \n\n - Prior experience in autonomous vehicles or robotic systems operating at scale.\n\n - Familiarity with Japan’s road environment, driving behaviour, or AV regulatory landscape.\n\n - A strong foundation in machine learning and its application to real-time decision-making or perception systems\n\n - Japanese language proficiency (not required, but useful for day-to-day coordination).\n \n \n \n\nThis is a full-time role based in our office. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c2631e54-5b6c-4b78-b850-4ca963bf90ca","title":"Machine Learning Engineer, App SW","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-02-27T10:20:16.932+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c2631e54-5b6c-4b78-b850-4ca963bf90ca","applyUrl":"https://jobs.ashbyhq.com/wayve/c2631e54-5b6c-4b78-b850-4ca963bf90ca/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As an ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.
You’ll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.
Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.
Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
Mentor senior engineers and shape the long-term technical direction across Autonomy.
In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.
Extensive and proven track record of shipping deep learning systems to production.
Expert in deep learning (esp. sequential models, control, planning, or perception).
Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.
Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.
Prior work in autonomous driving, imitation learning, or trajectory prediction.
Familiarity with personalization, human behavior modeling, or driver intent inference.
Experience integrating ML systems into production hardware or multi-agent simulation.
This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs an ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.\n\nYou’ll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.\n\n\nRESPONSIBILITIES:\n\n - \n\n - Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.\n\n - Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.\n\n - Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.\n\n - Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.\n\n - Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.\n\n - Collaborate cross-functionally across various teams to ensure integration and iteration velocity.\n\n - Mentor senior engineers and shape the long-term technical direction across Autonomy.\n\n\nABOUT YOU: \n\nIn order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience. \n\n\nESSENTIAL\n\n - Extensive and proven track record of shipping deep learning systems to production.\n\n - Expert in deep learning (esp. sequential models, control, planning, or perception).\n\n - Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.\n\n - Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.\n\n - Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.\n\n\nDESIRABLE\n\n - Prior work in autonomous driving, imitation learning, or trajectory prediction.\n\n - Familiarity with personalization, human behavior modeling, or driver intent inference.\n\n - Experience integrating ML systems into production hardware or multi-agent simulation.\n\nThis role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nAt Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"f353bbec-8c13-46c5-bf15-4923d8c03306","title":"System Integration Engineer","department":"Hardware & Supply Chain","team":"Hardware & Supply Chain","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-05-28T16:53:56.208+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/f353bbec-8c13-46c5-bf15-4923d8c03306","applyUrl":"https://jobs.ashbyhq.com/wayve/f353bbec-8c13-46c5-bf15-4923d8c03306/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re looking for a System Integration Engineer to lead the integration and bring-up of cutting edge autonomous vehicle platforms. In this role, you'll work across hardware and software boundaries to prototype, assemble, and test complex systems both in-vehicle and on development benches. You will also support vehicle integration development and issue troubleshooting to improve the performance and reliability of our next-generation systems.
Key responsibilities:
Integration and bring-up of autonomous systems on internal and partner vehicles
Architect, prototype and evaluate new hardware systems
Support fleet troubleshooting and issue resolution
Inform and improve system integration processes and workflow
Bring-up and maintain of development benches and HIL systems
In order to set you up for success as a System Integration Engineer at Wayve, we’re looking for the following skills and experience.
Essential:
7+ years experience integrating and developing complex systems
Breadth of technical comprehension across electrical, mechanical, and software systems
Proven hands-on experience debugging and assembling hardware/software systems
Excellent communication and collaboration skills across engineering disciplines
Multidisciplinary troubleshooting skills with a strong sense of ownership and initiative
Bachelor's degree in Electrical Engineering, Mechanical Engineering, or equivalent experience.
Desirable:
Experience working on autonomous vehicles, robotics, or similar advanced systems
Skilled in prototyping electronics, wire harnesses, and custom hardware components
Comfortable working in Linux environments and with scripting tools
Ability to read and understand code in languages such as C++, Python, or JavaScript
Experience using application level software for testing, flashing, and triaging issues
Working with suppliers and contract manufacturers for design validation and manufacturing
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $246,400 to $333,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWe’re looking for a System Integration Engineer to lead the integration and bring-up of cutting edge autonomous vehicle platforms. In this role, you'll work across hardware and software boundaries to prototype, assemble, and test complex systems both in-vehicle and on development benches. You will also support vehicle integration development and issue troubleshooting to improve the performance and reliability of our next-generation systems.\n\nKey responsibilities:\n\n - Integration and bring-up of autonomous systems on internal and partner vehicles\n\n - Architect, prototype and evaluate new hardware systems\n\n - Support fleet troubleshooting and issue resolution\n\n - Inform and improve system integration processes and workflow\n\n - Bring-up and maintain of development benches and HIL systems\n\n\nABOUT YOU \n\nIn order to set you up for success as a System Integration Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential:\n\n - 7+ years experience integrating and developing complex systems\n\n - Breadth of technical comprehension across electrical, mechanical, and software systems\n\n - Proven hands-on experience debugging and assembling hardware/software systems\n\n - Excellent communication and collaboration skills across engineering disciplines\n\n - Multidisciplinary troubleshooting skills with a strong sense of ownership and initiative\n\n - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or equivalent experience.\n\nDesirable:\n\n - Experience working on autonomous vehicles, robotics, or similar advanced systems\n\n - Skilled in prototyping electronics, wire harnesses, and custom hardware components\n\n - Comfortable working in Linux environments and with scripting tools\n\n - Ability to read and understand code in languages such as C++, Python, or JavaScript\n\n - Experience using application level software for testing, flashing, and triaging issues\n\n - Working with suppliers and contract manufacturers for design validation and manufacturing\n\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $246,400 to $333,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"fbe60f67-0edb-4f25-9619-9b14ee8dc3de","title":"Application Software Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-02-24T09:46:10.249+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/fbe60f67-0edb-4f25-9619-9b14ee8dc3de","applyUrl":"https://jobs.ashbyhq.com/wayve/fbe60f67-0edb-4f25-9619-9b14ee8dc3de/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re seeking an exceptional Application SW Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the German market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up.
In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.
Responsibilities:
Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
Integrate and validate drivers, middleware, and boot-time configurations.
Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
Implement system-level diagnostics, logging, and secure boot configuration.
Develop automation for setup, flashing, health checks, and test execution on target hardware.
In order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential
8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
Strong proficiency in C/C++, Bash, and Python.
Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
Desirable
Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.
This is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWe’re seeking an exceptional Application SW Engineer to join our Germany-based team within the Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the German market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Germany from the ground up.\n\nIn this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.\n\nResponsibilities:\n\n - Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).\n\n - Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.\n\n - Integrate and validate drivers, middleware, and boot-time configurations.\n\n - Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.\n\n - Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.\n\n - Implement system-level diagnostics, logging, and secure boot configuration.\n\n - Develop automation for setup, flashing, health checks, and test execution on target hardware.\n\n\nABOUT YOU \n\nIn order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.\n\n - Strong proficiency in C/C++, Bash, and Python.\n\n - Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).\n\n - Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.\n\n - Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).\n\n - Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).\n\n - Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.\n\n - Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.\n\nDesirable \n\n - Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).\n\n - Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.\n\n - Understanding of secure boot, OTA updates, and system-level cybersecurity topics.\n\n - Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.\n \n \n\nThis is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"b6efa7fd-80e3-4cc8-b353-b2e58e7e5adb","title":"Material Program Manager","department":"Hardware & Supply Chain","team":"Hardware & Supply Chain","employmentType":"FullTime","location":"Yokohama, Japan","secondaryLocations":[],"publishedAt":"2026-03-30T08:01:52.055+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/b6efa7fd-80e3-4cc8-b353-b2e58e7e5adb","applyUrl":"https://jobs.ashbyhq.com/wayve/b6efa7fd-80e3-4cc8-b353-b2e58e7e5adb/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Purchasing Manager (Japan) is responsible for end-to-end materials execution for Wayve’s autonomous vehicle and hardware programs in Japan. This includes materials procurement, supplier coordination, CTB readiness, material receiving, secure storage, and outbound shipping, in close partnership with Engineering, Operations, and the global Supply Chain team.
This role ensures that materials flow efficiently from suppliers through receipt, storage, and delivery to workshops or vehicle upfitting locations, while maintaining visibility, cost control, and compliance. The role operates in a fast-paced, Agile environment and plays a critical part in taking early-stage hardware development toward scalable execution.
Own and manage materials programs enabling Wayve’s autonomous vehicle and hardware development in Japan
Drive execution across procurement, receiving, storage, and shipping to meet aggressive program milestones
Identify and manage dependencies and blockers across multi-disciplinary teams to ensure smooth materials flow
Own materials procurement activities in coordination with sourcing and purchasing teams
Drive and manage the CTB (Clear to Build) process with suppliers, contract manufacturers, workshop teams, and internal stakeholders
Ensure clear visibility into procurement strategy, material availability, lead times, and build readiness
Support supplier negotiations on pricing, availability, and scale readiness
Work closely with Engineering to onboard, set up, and manage suppliers and partners within the Japanese market
Own tracking of supplier progress, deliverables, and handoffs
Build strong working relationships with suppliers across a broad range of industries
Support escalation management and issue resolution, acting as the primary local point of contact
Coordinate and oversee material receiving in Japan, ensuring accuracy, traceability, and proper documentation
Manage secure storage of high-value, long-lead-time materials, including inventory tracking and access controls
Coordinate outbound shipping of materials to workshops, vehicle upfitting locations, or other Wayve sites
Work with local Japanese logistics and customs requirements and internal teams to ensure compliant and timely shipments
Partner with Engineering, Operations, and Product teams to embed strong engineering and manufacturing practices
Support design-for-manufacturing and design-for-scale decisions
Help guide early-stage designs toward scalable, cost-effective production solutions
Act as a central point of coordination across Engineering, Supply Chain, Operations, and external partners
Drive alignment and decision-making across stakeholders with competing priorities
Clearly communicate risks, tradeoffs, and decisions to both working-level teams and leadership
On-time materials procurement and readiness aligned to program milestones
Clear CTB visibility with reduced last-minute procurement escalations
Accurate material receiving, storage, and inventory tracking
Reliable and compliant outbound shipping execution
Improved cost visibility and supplier execution
Experience bringing newly developed products to scale through supplier and partner relationships
Strong project or program management experience with the ability to influence across teams
Experience coordinating materials procurement, receiving, storage, and shipping
Professional proficiency in English and Japanese (written and verbal)
Knowledge of Japanese logistics, import/export regulations, and local business etiquette
Ability to perform cost analysis and support negotiations
Excellent communication and stakeholder management skills
Comfortable working in an Agile environment with aggressive timelines
This is a full-time role based in our offices in either Tokyo or Yokohama. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe Purchasing Manager (Japan) is responsible for end-to-end materials execution for Wayve’s autonomous vehicle and hardware programs in Japan. This includes materials procurement, supplier coordination, CTB readiness, material receiving, secure storage, and outbound shipping, in close partnership with Engineering, Operations, and the global Supply Chain team.\n\nThis role ensures that materials flow efficiently from suppliers through receipt, storage, and delivery to workshops or vehicle upfitting locations, while maintaining visibility, cost control, and compliance. The role operates in a fast-paced, Agile environment and plays a critical part in taking early-stage hardware development toward scalable execution.\n\n\nKEY RESPONSIBILITIES\n\n\nMATERIALS PROGRAM OWNERSHIP & EXECUTION\n\n - Own and manage materials programs enabling Wayve’s autonomous vehicle and hardware development in Japan\n\n - Drive execution across procurement, receiving, storage, and shipping to meet aggressive program milestones\n\n - Identify and manage dependencies and blockers across multi-disciplinary teams to ensure smooth materials flow\n\n\nMATERIALS PROCUREMENT & CTB READINESS\n\n - Own materials procurement activities in coordination with sourcing and purchasing teams\n\n - Drive and manage the CTB (Clear to Build) process with suppliers, contract manufacturers, workshop teams, and internal stakeholders\n\n - Ensure clear visibility into procurement strategy, material availability, lead times, and build readiness\n\n - Support supplier negotiations on pricing, availability, and scale readiness\n\n\nSUPPLIER & PARTNER MANAGEMENT\n\n - Work closely with Engineering to onboard, set up, and manage suppliers and partners within the Japanese market\n\n - Own tracking of supplier progress, deliverables, and handoffs\n\n - Build strong working relationships with suppliers across a broad range of industries\n\n - Support escalation management and issue resolution, acting as the primary local point of contact\n\n\nMATERIALS RECEIVING, STORAGE & SHIPPING\n\n - Coordinate and oversee material receiving in Japan, ensuring accuracy, traceability, and proper documentation\n\n - Manage secure storage of high-value, long-lead-time materials, including inventory tracking and access controls\n\n - Coordinate outbound shipping of materials to workshops, vehicle upfitting locations, or other Wayve sites\n\n - Work with local Japanese logistics and customs requirements and internal teams to ensure compliant and timely shipments\n\n\nENGINEERING COLLABORATION & DESIGN SUPPORT\n\n - Partner with Engineering, Operations, and Product teams to embed strong engineering and manufacturing practices\n\n - Support design-for-manufacturing and design-for-scale decisions\n\n - Help guide early-stage designs toward scalable, cost-effective production solutions\n\n\nCROSS-FUNCTIONAL COORDINATION & COMMUNICATION\n\n - Act as a central point of coordination across Engineering, Supply Chain, Operations, and external partners\n\n - Drive alignment and decision-making across stakeholders with competing priorities\n\n - Clearly communicate risks, tradeoffs, and decisions to both working-level teams and leadership \n\n\nSUCCESS METRICS\n\n - On-time materials procurement and readiness aligned to program milestones\n\n - Clear CTB visibility with reduced last-minute procurement escalations\n\n - Accurate material receiving, storage, and inventory tracking\n\n - Reliable and compliant outbound shipping execution\n\n - Improved cost visibility and supplier execution\n\n\nESSENTIAL QUALIFICATIONS\n\n - Experience bringing newly developed products to scale through supplier and partner relationships\n\n - Strong project or program management experience with the ability to influence across teams\n\n - Experience coordinating materials procurement, receiving, storage, and shipping\n\n - Professional proficiency in English and Japanese (written and verbal)\n\n - Knowledge of Japanese logistics, import/export regulations, and local business etiquette\n\n - Ability to perform cost analysis and support negotiations\n\n - Excellent communication and stakeholder management skills\n\n - Comfortable working in an Agile environment with aggressive timelines\n\nThis is a full-time role based in our offices in either Tokyo or Yokohama. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"0bcf250b-eca7-4b20-9e28-982b4158e134","title":"Staff SRE, AI Infrastructure ","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-05-06T15:00:03.019+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/0bcf250b-eca7-4b20-9e28-982b4158e134","applyUrl":"https://jobs.ashbyhq.com/wayve/0bcf250b-eca7-4b20-9e28-982b4158e134/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
This is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up.
As a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).
This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.
This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.
Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
Define and operationalise SLOs, SLIs, and error budgets across platform services.
Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.
Partner with ML, platform, and software teams to establish clear production readiness standards.
Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.
Lead incident triage, escalation, communications, and root cause analysis.
Translate post-incident learning into durable architectural or automation improvements.
Continuously reduce alert noise and recurring operational burden.
Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.
Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).
Improve deployment safety through better change management, validation, and rollback mechanisms.
Build automation for cluster operations, training workflows, remediation, and scaling tasks.
Implement self-healing patterns and resilient recovery workflows.
Harden CI/CD and release processes to improve deployment safety and velocity.
Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.
In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.
Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.
Experience operating GPU-backed environments or large-scale ML infrastructure.
Experience running model training or inference pipelines in production (MLOps).
Strong Kubernetes experience, including operating production clusters.
Hands-on experience running production workloads in AWS, GCP, or Azure.
Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.
Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.
Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).
Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.
Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.
Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.
Experience as an early or founding SRE hire establishing processes from scratch.
Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.
This is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nThis is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up.\n\nAs a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).\n\nThis is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.\n\nThis role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.\n\n\nKEY RESPONSIBILITIES\n\n\nRELIABILITY & PLATFORM OWNERSHIP\n\n - Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.\n\n - Define and operationalise SLOs, SLIs, and error budgets across platform services.\n\n - Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.\n\n - Partner with ML, platform, and software teams to establish clear production readiness standards.\n \n \n\n\nINCIDENT RESPONSE & ON-CALL\n\n - Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.\n\n - Lead incident triage, escalation, communications, and root cause analysis.\n\n - Translate post-incident learning into durable architectural or automation improvements.\n\n - Continuously reduce alert noise and recurring operational burden.\n \n \n\n\nOBSERVABILITY & OPERATIONAL EXCELLENCE\n\n - Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.\n\n - Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).\n Improve deployment safety through better change management, validation, and rollback mechanisms.\n \n \n\n\nAUTOMATION & TOOLING\n\n - Build automation for cluster operations, training workflows, remediation, and scaling tasks.\n\n - Implement self-healing patterns and resilient recovery workflows.\n\n - Harden CI/CD and release processes to improve deployment safety and velocity.\n\n - Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.\n\n\nESSENTIAL SKILLS\n\n - Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.\n\n - Experience operating GPU-backed environments or large-scale ML infrastructure.\n\n - Experience running model training or inference pipelines in production (MLOps).\n\n - Strong Kubernetes experience, including operating production clusters.\n\n - Hands-on experience running production workloads in AWS, GCP, or Azure.\n\n - Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.\n\n - Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.\n\n - Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.\n\n - Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.\n\n - Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).\n\n - Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.\n\n\nDESIRABLE SKILLS\n\n - Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.\n\n - Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.\n\n - Experience as an early or founding SRE hire establishing processes from scratch.\n\n - Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.\n\n\nThis is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"b240b1b6-d381-4ff9-b063-5c94c1ef1b17","title":"Robotics Generalist","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-05-09T00:06:12.466+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/b240b1b6-d381-4ff9-b063-5c94c1ef1b17","applyUrl":"https://jobs.ashbyhq.com/wayve/b240b1b6-d381-4ff9-b063-5c94c1ef1b17/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Vehicle Generalization team within Robotics Engineering is seeking a highly skilled and motivated Robotics Generalist to ensure the successful integration, characterization, and evaluation of our autonomous driving software across a growing range of new vehicle platforms. The Vehicle Generalization team enables efficient, scaleable, and predictable deployment of the Wayve autonomous driving stack across a wide range of vehicle platforms by maximizing the generalizability of our core autonomy where possible. The ideal candidate will be a generalist capable of quickly tackling complex, cross-functional challenges on-site at our Sunnyvale location, working closely with Measurement and Application Engineering teams.
Lead vehicle generalization benchmark evaluation and metrics tooling. Creation, curation, and dedicated focus on cross-platform and vehicle-to-vehicle variability.
Able to dive deep into pragmatic variabilities with different platforms and get hands-on, and zoom out to paint a bigger picture for driving the larger generalization metrics story.
Cross-functional Collaboration: Work closely with a broad range of teams from OEM support engineering, to measurement, and controls.
Customer Program Support: Provide on-the-ground technical support enabling the autonomy stack for key customer programs (e.g., Nissan, Stellantis), which may require domestic and international travel.
Experience with data-driven development, including defining metrics, building tooling, and performing data analysis.
Core Robotics Expertise: Strong background and practical experience with control system design, state estimation (including odometry and localization), and sensor fusion.
Programming: Proficiency in C++ and Python.
System Thinking: Demonstrated strong robotics system thinking, enabling quick diagnosis and resolution of complex integration issues in dynamic environments.
Location/Travel: Willingness and ability to travel (domestic and international) for on-the-ground customer and vehicle support. Must be based in Sunnyvale, CA.
Excellent cross-functional communication and teamwork skills.
Familiarity with mapping/navigation data and advanced odometry techniques.
Experience with advanced control techniques, particularly where motion planning/control is influenced by or performed by a neural network
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $253,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nROLE DESCRIPTION\n\nThe Vehicle Generalization team within Robotics Engineering is seeking a highly skilled and motivated Robotics Generalist to ensure the successful integration, characterization, and evaluation of our autonomous driving software across a growing range of new vehicle platforms. The Vehicle Generalization team enables efficient, scaleable, and predictable deployment of the Wayve autonomous driving stack across a wide range of vehicle platforms by maximizing the generalizability of our core autonomy where possible. The ideal candidate will be a generalist capable of quickly tackling complex, cross-functional challenges on-site at our Sunnyvale location, working closely with Measurement and Application Engineering teams.\n\n\nKEY RESPONSIBILITIES\n\n - Lead vehicle generalization benchmark evaluation and metrics tooling. Creation, curation, and dedicated focus on cross-platform and vehicle-to-vehicle variability. \n\n - Able to dive deep into pragmatic variabilities with different platforms and get hands-on, and zoom out to paint a bigger picture for driving the larger generalization metrics story.\n\n - Cross-functional Collaboration: Work closely with a broad range of teams from OEM support engineering, to measurement, and controls.\n\n - Customer Program Support: Provide on-the-ground technical support enabling the autonomy stack for key customer programs (e.g., Nissan, Stellantis), which may require domestic and international travel.\n\n\nABOUT YOU\n\n\nESSENTIAL\n\n - Experience with data-driven development, including defining metrics, building tooling, and performing data analysis.\n\n - Core Robotics Expertise: Strong background and practical experience with control system design, state estimation (including odometry and localization), and sensor fusion.\n\n - Programming: Proficiency in C++ and Python.\n\n - System Thinking: Demonstrated strong robotics system thinking, enabling quick diagnosis and resolution of complex integration issues in dynamic environments.\n\n - Location/Travel: Willingness and ability to travel (domestic and international) for on-the-ground customer and vehicle support. Must be based in Sunnyvale, CA.\n\n - Excellent cross-functional communication and teamwork skills.\n\n\nDESIRABLE\n\n - Familiarity with mapping/navigation data and advanced odometry techniques.\n\n - Experience with advanced control techniques, particularly where motion planning/control is influenced by or performed by a neural network\n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $253,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"a8c0f4ee-c4a4-4031-bb8e-e878f0c43b59","title":"Feature Owner, ADAS","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-05-15T11:02:43.373+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/a8c0f4ee-c4a4-4031-bb8e-e878f0c43b59","applyUrl":"https://jobs.ashbyhq.com/wayve/a8c0f4ee-c4a4-4031-bb8e-e878f0c43b59/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
In this pivotal role as a Product Feature Owner, you will take end-to-end responsibility for specific ADAS functionalities, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI. Your focus will be to ensure these features meet customer (OEM) requirements, align with internal capabilities and roadmaps, and are delivered to spec. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards. Your dedication to aligning customer needs with our strategic vision will directly enhance our vehicles’ capabilities and user experience.
Key responsibilities:
Feature Oversight and Delivery: Take full accountability for specific ADAS features, ensuring on-time delivery and alignment with agreed-upon specifications. Monitor the feature’s lifecycle from concept to production, addressing any deviations promptly.
Technical Collaboration and Hands-on Engagement: Collaborate with feature group owners and engineering teams to create feature specifications. Engage actively with the teams throughout feature development, providing early feedback, participating in testing, and supporting validation processes.
Customer Advocacy and Alignment: Deeply understand OEM customer needs and requirements, representing their interests internally without compromising Wayve’s objectives. Harmonise OEM requests across different customers to maximise the development of reusable assets and ensure scalability.
Cross-functional Communication and Coordination: Serve as the central liaison between OEMs, product teams, and engineering teams for your feature(s). Facilitate streamlined communication and reduce misunderstandings. Participate in agile processes and rituals.
Risk Mitigation and Strategic Alignment: Proactively identify and address potential issues before they escalate. Maintain and evolve the strategic feature roadmap as our technology progresses towards higher autonomy levels, ensuring alignment with both customer expectations and Wayve’s strategic objectives.
In order to set you up for success as a Product Feature Owner at Wayve, we’re looking for the following skills and experience.
Essential
Experience with ADAS Feature Development: Expertise in specifying and facilitating ADAS feature delivery from concept to production, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI, etc.
Automotive Background: Experience with automotive processes, including requirements management, V-model, ASPICE, quality, and validation.
Customer Advocacy and Communication Skills: Strong ability to understand and represent OEM customer needs, negotiate requirements, and align expectations between customers and internal teams.
Technical Competence and Hands-on Approach: Technical understanding of ADAS features, capable of engaging in discussions about trade-offs and feasibility, and actively involved in testing, evaluation, and validation processes.
Desirable
Experience Shipping ADAS Features into Production: Demonstrated success in delivering complete ADAS features into large-scale production automotive programs.
Knowledge of Automotive Quality and Safety Standards: Good understanding of automotive quality and safety standards (ASPICE, SOTIF, FuSa, …) as well as the compliance regime around them (GSR-II, DCAS, …)
Experience with machine learning, LLMs and recent generative AI methods and architectures
Strong Collaboration Skills: Ability to effectively bridge technical and business perspectives, ensuring clear communication and alignment across teams and stakeholders.
Innovative and Forward-thinking: A proactive approach to exploring and developing new ADAS features, keeping Wayve at the forefront of technological advancement in the industry.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nIn this pivotal role as a Product Feature Owner, you will take end-to-end responsibility for specific ADAS functionalities, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI. Your focus will be to ensure these features meet customer (OEM) requirements, align with internal capabilities and roadmaps, and are delivered to spec. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards. Your dedication to aligning customer needs with our strategic vision will directly enhance our vehicles’ capabilities and user experience.\n\nKey responsibilities:\n\n - Feature Oversight and Delivery: Take full accountability for specific ADAS features, ensuring on-time delivery and alignment with agreed-upon specifications. Monitor the feature’s lifecycle from concept to production, addressing any deviations promptly.\n\n - Technical Collaboration and Hands-on Engagement: Collaborate with feature group owners and engineering teams to create feature specifications. Engage actively with the teams throughout feature development, providing early feedback, participating in testing, and supporting validation processes.\n\n - Customer Advocacy and Alignment: Deeply understand OEM customer needs and requirements, representing their interests internally without compromising Wayve’s objectives. Harmonise OEM requests across different customers to maximise the development of reusable assets and ensure scalability.\n\n - Cross-functional Communication and Coordination: Serve as the central liaison between OEMs, product teams, and engineering teams for your feature(s). Facilitate streamlined communication and reduce misunderstandings. Participate in agile processes and rituals.\n\n - Risk Mitigation and Strategic Alignment: Proactively identify and address potential issues before they escalate. Maintain and evolve the strategic feature roadmap as our technology progresses towards higher autonomy levels, ensuring alignment with both customer expectations and Wayve’s strategic objectives.\n\n\n\nABOUT YOU \n\nIn order to set you up for success as a Product Feature Owner at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Experience with ADAS Feature Development: Expertise in specifying and facilitating ADAS feature delivery from concept to production, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI, etc.\n\n - Automotive Background: Experience with automotive processes, including requirements management, V-model, ASPICE, quality, and validation.\n\n - Customer Advocacy and Communication Skills: Strong ability to understand and represent OEM customer needs, negotiate requirements, and align expectations between customers and internal teams.\n\n - Technical Competence and Hands-on Approach: Technical understanding of ADAS features, capable of engaging in discussions about trade-offs and feasibility, and actively involved in testing, evaluation, and validation processes.\n\nDesirable \n\n - Experience Shipping ADAS Features into Production: Demonstrated success in delivering complete ADAS features into large-scale production automotive programs.\n\n - Knowledge of Automotive Quality and Safety Standards: Good understanding of automotive quality and safety standards (ASPICE, SOTIF, FuSa, …) as well as the compliance regime around them (GSR-II, DCAS, …)\n\n - Experience with machine learning, LLMs and recent generative AI methods and architectures\n\n - Strong Collaboration Skills: Ability to effectively bridge technical and business perspectives, ensuring clear communication and alignment across teams and stakeholders.\n\n - Innovative and Forward-thinking: A proactive approach to exploring and developing new ADAS features, keeping Wayve at the forefront of technological advancement in the industry.\n\n \n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c371ecf9-fa38-4c81-8003-0a86532ae399","title":"Principal Application Software Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-03-09T12:45:00.049+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c371ecf9-fa38-4c81-8003-0a86532ae399","applyUrl":"https://jobs.ashbyhq.com/wayve/c371ecf9-fa38-4c81-8003-0a86532ae399/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based team within the Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.
In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.
Key responsibilities:
Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
Integrate and validate drivers, middleware, and boot-time configurations.
Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
Implement system-level diagnostics, logging, and secure boot configuration.
Develop automation for setup, flashing, health checks, and test execution on target hardware.
In order to set you up for success as a Principal Application SW Engineer at Wayve, we’re looking for the following skills and experience.
Essential
8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
Strong proficiency in C/C++, Bash, and Python.
Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
Desired
Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.
This is a full-time role based in our office in Tokyo. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWe’re seeking an exceptional Principal Application SW Engineer to join our Japan-based team within the Application Engineering org, focused on localising and advancing Wayve’s autonomous driving technology for the japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.\n\nIn this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.\n\nKey responsibilities:\n\n - Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).\n\n - Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.\n\n - Integrate and validate drivers, middleware, and boot-time configurations.\n\n - Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.\n\n - Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.\n\n - Implement system-level diagnostics, logging, and secure boot configuration.\n\n - Develop automation for setup, flashing, health checks, and test execution on target hardware.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Principal Application SW Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.\n\n - Strong proficiency in C/C++, Bash, and Python.\n Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).\n\n - Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.\n Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).\n\n - Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).\n\n - Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.\n\n - Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.\n \n \n\nDesired \n\n - Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).\n\n - Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.\n\n - Understanding of secure boot, OTA updates, and system-level cybersecurity topics.\n\n - Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.\n\n \n\nThis is a full-time role based in our office in Tokyo. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"65f15f08-0551-4897-9050-2d2f56670237","title":"Senior SRE, AI Infrastructure ","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-03-11T10:48:01.259+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/65f15f08-0551-4897-9050-2d2f56670237","applyUrl":"https://jobs.ashbyhq.com/wayve/65f15f08-0551-4897-9050-2d2f56670237/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).
This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.
This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.
Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
Define and operationalise SLOs, SLIs, and error budgets across platform services.
Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.
Partner with ML, platform, and software teams to establish clear production readiness standards.
Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.
Lead incident triage, escalation, communications, and root cause analysis.
Translate post-incident learning into durable architectural or automation improvements.
Continuously reduce alert noise and recurring operational burden.
Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.
Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).
Improve deployment safety through better change management, validation, and rollback mechanisms.
Build automation for cluster operations, training workflows, remediation, and scaling tasks.
Implement self-healing patterns and resilient recovery workflows.
Harden CI/CD and release processes to improve deployment safety and velocity.
Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.
In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.
Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.
Strong Kubernetes experience, including operating production clusters.
Hands-on experience running production workloads in AWS, GCP, or Azure.
Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.
Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.
Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).
Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.
Experience operating GPU-backed environments or large-scale ML infrastructure.
Experience running model training or inference pipelines in production (MLOps).
Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.
Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.
Experience as an early or founding SRE hire establishing processes from scratch.
Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.
This is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).\n\nThis is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.\n\nThis role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.\n\n\nKEY RESPONSIBILITIES\n\n\nRELIABILITY & PLATFORM OWNERSHIP\n\n - Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.\n\n - Define and operationalise SLOs, SLIs, and error budgets across platform services.\n\n - Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.\n\n - Partner with ML, platform, and software teams to establish clear production readiness standards.\n \n \n\n\nINCIDENT RESPONSE & ON-CALL\n\n - Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.\n\n - Lead incident triage, escalation, communications, and root cause analysis.\n\n - Translate post-incident learning into durable architectural or automation improvements.\n\n - Continuously reduce alert noise and recurring operational burden.\n \n \n\n\nOBSERVABILITY & OPERATIONAL EXCELLENCE\n\n - Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.\n\n - Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).\n Improve deployment safety through better change management, validation, and rollback mechanisms.\n \n \n\n\nAUTOMATION & TOOLING\n\n - Build automation for cluster operations, training workflows, remediation, and scaling tasks.\n\n - Implement self-healing patterns and resilient recovery workflows.\n\n - Harden CI/CD and release processes to improve deployment safety and velocity.\n\n - Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.\n\n\nESSENTIAL SKILLS\n\n - Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.\n\n - Strong Kubernetes experience, including operating production clusters.\n\n - Hands-on experience running production workloads in AWS, GCP, or Azure.\n\n - Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.\n\n - Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.\n\n - Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.\n\n - Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.\n\n - Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).\n\n - Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.\n\n\nDESIRABLE SKILLS\n\n - Experience operating GPU-backed environments or large-scale ML infrastructure.\n\n - Experience running model training or inference pipelines in production (MLOps).\n\n - Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.\n\n - Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.\n\n - Experience as an early or founding SRE hire establishing processes from scratch.\n\n - Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.\n\n\nThis is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"96954894-d62c-4b7e-918d-b9c926da9180","title":"Field Engineer ","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Yokohama, Japan","secondaryLocations":[],"publishedAt":"2026-03-26T05:59:03.252+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/96954894-d62c-4b7e-918d-b9c926da9180","applyUrl":"https://jobs.ashbyhq.com/wayve/96954894-d62c-4b7e-918d-b9c926da9180/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Role
The Field Engineer is a hands-on technical contributor responsible for diagnosing and resolving vehicle software and hardware issues to keep the fleet operational. They will play a critical role in rapid fault triage, ensuring a 5-minute response time while strictly adhering to safety protocols. Working closely with fellow engineers and global teams, they will contribute to seamless operations through effective communication and problem solving. As part of a newly established function within Fleet Operations, the Field Engineer will help refine processes and drive efficiency in a fast-paced, high-impact environment.
Key responsibilities:
Perform on-site fault triage and resolution, diagnosing and repairing vehicle software and hardware issues quickly to maintain fleet uptime.
Follow structured fault diagnosis and repair protocols, ensuring all work is carried out efficiently and in alignment with operational workflows.
Collaborate with fellow field engineers and cross-functional teams to troubleshoot and resolve technical issues effectively.
Respond rapidly to issues, meeting the 5-minute issue response to keep vehicles operational and our teams feeling adequately supported.
Maintain clear communication with the Field Engineering Lead, providing updates on ongoing repairs and ensuring smooth handovers across geographical locations.
Participate in on-call rotations, assisting with technical support and issue resolution across multiple regions as part of a 24/7 global support network.
Adhere to strict safety and compliance protocols, ensuring all fault triage, diagnosis, and repairs follow the correct procedures and approvals.
Contribute to continuous improvement efforts, identifying operational challenges and providing feedback to optimise field engineering support and efficiency.
About you
In order to set you up for success as a Field Engineer at Wayve, we’re looking for the following skills and experience.
Essential:
Technical Expertise – Strong understanding of vehicle diagnostics, software and hardware fault triage, and repair processes. Experience in fleet operations, automotive systems, or ADAS technology is a plus.
Problem-Solving & Efficiency – Ability to troubleshoot and resolve technical issues quickly, meeting strict SLAs (5-minute response time) to keep vehicles operational.
Communication & Collaboration – Capable of working closely with global teams, providing clear technical updates, and ensuring smooth handovers across locations.
Safety & Compliance – Deep understanding of safety protocols, incident management, and adherence to operational procedures to ensure secure and effective repairs.
Adaptability & Flexibility – Comfortable working in a fast-paced, evolving environment, including participation in on-call rotations and weekend coverage as needed.
Technical Tools & Platforms – Familiarity with diagnostic tools, software monitoring platforms (e.g., Datadog, Mender), and ticketing systems like JIRA.
Fluent in Japanese and English.
Desirable:
Bachelor’s degree (B.Sc. or equivalent) in Automotive, Mechanical, Electrical/Electronic Engineering, Computer Science, Robotics, or a related technical discipline.
Knowledge of ADAS on-road testing, safe vehicle-operation procedures, and relevant safety or high-voltage/EV certifications.
High-voltage/EV certification and practical experience diagnosing EV systems.
Demonstrated continuous-improvement mindset; able to identify recurring vehicle issues, turn field observations into actionable feedback, and help improve repair processes, vehicle uptime, and operational safety.
Japanese language ability: JLPT N2 or above
Additional requirements:
This role is based on a rota with a shift pattern:
Monday to Sunday - (must be able to work weekends)
06:00 - 15:00
13:00 - 22:00
On-site at our office in Tokyo and Yokohama.
All applications are required to disclose any second job as part of the application process.
All applications will be subject to a health check before/after.
Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe Role \n\nThe Field Engineer is a hands-on technical contributor responsible for diagnosing and resolving vehicle software and hardware issues to keep the fleet operational. They will play a critical role in rapid fault triage, ensuring a 5-minute response time while strictly adhering to safety protocols. Working closely with fellow engineers and global teams, they will contribute to seamless operations through effective communication and problem solving. As part of a newly established function within Fleet Operations, the Field Engineer will help refine processes and drive efficiency in a fast-paced, high-impact environment.\n\nKey responsibilities:\n\n - Perform on-site fault triage and resolution, diagnosing and repairing vehicle software and hardware issues quickly to maintain fleet uptime.\n\n - Follow structured fault diagnosis and repair protocols, ensuring all work is carried out efficiently and in alignment with operational workflows.\n\n - Collaborate with fellow field engineers and cross-functional teams to troubleshoot and resolve technical issues effectively.\n\n - Respond rapidly to issues, meeting the 5-minute issue response to keep vehicles operational and our teams feeling adequately supported.\n\n - Maintain clear communication with the Field Engineering Lead, providing updates on ongoing repairs and ensuring smooth handovers across geographical locations.\n\n - Participate in on-call rotations, assisting with technical support and issue resolution across multiple regions as part of a 24/7 global support network.\n\n - Adhere to strict safety and compliance protocols, ensuring all fault triage, diagnosis, and repairs follow the correct procedures and approvals.\n\n - Contribute to continuous improvement efforts, identifying operational challenges and providing feedback to optimise field engineering support and efficiency.\n\nAbout you \n\nIn order to set you up for success as a Field Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential:\n\n - Technical Expertise – Strong understanding of vehicle diagnostics, software and hardware fault triage, and repair processes. Experience in fleet operations, automotive systems, or ADAS technology is a plus.\n\n - Problem-Solving & Efficiency – Ability to troubleshoot and resolve technical issues quickly, meeting strict SLAs (5-minute response time) to keep vehicles operational.\n\n - Communication & Collaboration – Capable of working closely with global teams, providing clear technical updates, and ensuring smooth handovers across locations.\n\n - Safety & Compliance – Deep understanding of safety protocols, incident management, and adherence to operational procedures to ensure secure and effective repairs.\n\n - Adaptability & Flexibility – Comfortable working in a fast-paced, evolving environment, including participation in on-call rotations and weekend coverage as needed.\n\n - Technical Tools & Platforms – Familiarity with diagnostic tools, software monitoring platforms (e.g., Datadog, Mender), and ticketing systems like JIRA.\n\n - Fluent in Japanese and English.\n\nDesirable:\n\n - Bachelor’s degree (B.Sc. or equivalent) in Automotive, Mechanical, Electrical/Electronic Engineering, Computer Science, Robotics, or a related technical discipline.\n\n - Knowledge of ADAS on-road testing, safe vehicle-operation procedures, and relevant safety or high-voltage/EV certifications.\n\n - High-voltage/EV certification and practical experience diagnosing EV systems.\n\n - Demonstrated continuous-improvement mindset; able to identify recurring vehicle issues, turn field observations into actionable feedback, and help improve repair processes, vehicle uptime, and operational safety.\n\n - Japanese language ability: JLPT N2 or above\n\nAdditional requirements:\n\n - This role is based on a rota with a shift pattern:\n Monday to Sunday - (must be able to work weekends)\n 06:00 - 15:00\n 13:00 - 22:00\n\n - On-site at our office in Tokyo and Yokohama.\n\n - All applications are required to disclose any second job as part of the application process.\n\n - All applications will be subject to a health check before/after. \n\n - Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.\n \n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"e11aa8dd-d6a3-4f4a-a1a5-33c43cf9d94a","title":"Hardware Engineer","department":"Hardware & Supply Chain","team":"Hardware & Supply Chain","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-03-30T12:48:08.504+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/e11aa8dd-d6a3-4f4a-a1a5-33c43cf9d94a","applyUrl":"https://jobs.ashbyhq.com/wayve/e11aa8dd-d6a3-4f4a-a1a5-33c43cf9d94a/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are seeking an experienced Hardware Engineer to join our Hardware team and play a key role in developing next-generation autonomous driving compute platforms. This role focuses on low-level electronics design, embedded systems, and high-performance compute integration translating autonomy requirements into robust, scalable hardware systems.
You will work hands-on with cutting-edge computing platforms, collaborating across hardware, software, and systems teams to design, bring up, and validate mission-critical electronics that enable embodied AI.
Design and develop embedded electronics systems for autonomous driving applications
Architect and implement compute platforms for ML workloads
Collaborate with software and autonomy teams to optimize hardware for performance, reliability, and scalability
Own board-level design, bring-up, validation, and debugging across hardware and software boundaries
Develop high-speed interfaces such as PCIe, Ethernet, USB, and related technologies in an automotive environment
Work with mechanical engineering teams to design robust electronics hardware
Lead schematic design, PCB layout reviews, and signal integrity considerations
Create design and product specification documentation for electronics hardware
Work with suppliers and manufacturing partners to ensure design robustness and production readiness
7+ years of experience in electronics or embedded systems design
Strong experience with board-level design, bring-up, and debugging
Deep understanding of embedded systems and compute architectures
Experience with high-speed digital interfaces (e.g., PCIe, Ethernet, USB)
Strong debugging skills across hardware and software systems
Familiarity with Linux-based systems and embedded environments
Proficiency in at least one programming language (e.g., C, C++, Python)
Ability to architecture and analyze complex systems
Strong communication skills and ability to collaborate across multidisciplinary teams
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field
Experience designing hardware for AI/ML workloads or high-performance computing systems
Experience with signal integrity, power integrity, and high-speed PCB design
Knowledge of networking systems and protocols (Ethernet, TCP/IP, etc.)
Experience with firmware or low-level software development (bootloaders, drivers, BSPs)
Familiarity with NVIDIA and Qualcomm SoC applications
Experience working with contract manufacturers and scaling hardware to production
Autonomous vehicle, robotics, or other safety-critical system experience
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $185,800 to $247,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe are seeking an experienced Hardware Engineer to join our Hardware team and play a key role in developing next-generation autonomous driving compute platforms. This role focuses on low-level electronics design, embedded systems, and high-performance compute integration translating autonomy requirements into robust, scalable hardware systems.\n\nYou will work hands-on with cutting-edge computing platforms, collaborating across hardware, software, and systems teams to design, bring up, and validate mission-critical electronics that enable embodied AI.\n\n\nKEY RESPONSIBILITIES\n\n - Design and develop embedded electronics systems for autonomous driving applications\n\n - Architect and implement compute platforms for ML workloads\n\n - Collaborate with software and autonomy teams to optimize hardware for performance, reliability, and scalability\n\n - Own board-level design, bring-up, validation, and debugging across hardware and software boundaries\n\n - Develop high-speed interfaces such as PCIe, Ethernet, USB, and related technologies in an automotive environment\n\n - Work with mechanical engineering teams to design robust electronics hardware\n\n - Lead schematic design, PCB layout reviews, and signal integrity considerations\n\n - Create design and product specification documentation for electronics hardware\n\n - Work with suppliers and manufacturing partners to ensure design robustness and production readiness\n\n\nABOUT YOU\n\n\nESSENTIAL:\n\n - 7+ years of experience in electronics or embedded systems design\n\n - Strong experience with board-level design, bring-up, and debugging\n\n - Deep understanding of embedded systems and compute architectures\n\n - Experience with high-speed digital interfaces (e.g., PCIe, Ethernet, USB)\n\n - Strong debugging skills across hardware and software systems\n\n - Familiarity with Linux-based systems and embedded environments\n\n - Proficiency in at least one programming language (e.g., C, C++, Python)\n\n - Ability to architecture and analyze complex systems\n\n - Strong communication skills and ability to collaborate across multidisciplinary teams\n\n - Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field\n\n\nDESIRABLE EXPERIENCE\n\n - Experience designing hardware for AI/ML workloads or high-performance computing systems\n\n - Experience with signal integrity, power integrity, and high-speed PCB design\n\n - Knowledge of networking systems and protocols (Ethernet, TCP/IP, etc.)\n\n - Experience with firmware or low-level software development (bootloaders, drivers, BSPs)\n\n - Familiarity with NVIDIA and Qualcomm SoC applications\n\n - Experience working with contract manufacturers and scaling hardware to production\n\n - Autonomous vehicle, robotics, or other safety-critical system experience\n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $185,800 to $247,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"fa6913ef-7c7a-4934-bfc5-81172b370733","title":"Staff Data Scientist","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-03-31T20:33:49.259+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/fa6913ef-7c7a-4934-bfc5-81172b370733","applyUrl":"https://jobs.ashbyhq.com/wayve/fa6913ef-7c7a-4934-bfc5-81172b370733/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.
This means you might:
Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements
3+ years experience working in a Data Science role.
Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
Track record of influencing team direction through your findings
A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
Comfortable working asynchronously across time zones with cross-functional partners
You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.
Practical experience with machine learning (e.g. pytorch). Passion to take research ideas to production.
Track record of promoting statistical rigour and experimental best practices in your prior roles.
Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
Experience working in a fast-moving tech company or startup.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $276,100 to 311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nAs a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.\n\n \n\nThis means you might:\n\n - Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success\n\n - Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance\n\n - Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements\n\n\nWHAT WE ARE LOOKING FOR IN OUR CANDIDATE\n\n\nESSENTIAL\n\n - 3+ years experience working in a Data Science role.\n\n - Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.\n\n - Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics\n\n - Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats\n\n - Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)\n\n - Well-versed in summarising, visualising and communicating findings in an accessible and compelling way\n\n - Track record of influencing team direction through your findings \n\n - A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.\n\n - Comfortable working asynchronously across time zones with cross-functional partners\n\n - You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.\n\n\nDESIRED\n\n - Practical experience with machine learning (e.g. pytorch). Passion to take research ideas to production.\n\n - Track record of promoting statistical rigour and experimental best practices in your prior roles.\n\n - Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.\n\n - Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)\n\n - Experience working in a fast-moving tech company or startup.\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $276,100 to 311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"b671782f-d670-4b55-af9a-bdc1d1173b0a","title":"Senior Data Scientist","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-03-31T20:32:45.905+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/b671782f-d670-4b55-af9a-bdc1d1173b0a","applyUrl":"https://jobs.ashbyhq.com/wayve/b671782f-d670-4b55-af9a-bdc1d1173b0a/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.
This means you might:
Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements
3+ years experience working in a Data Science role.
Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
Track record of influencing team direction through your findings
A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
Comfortable working asynchronously across time zones with cross-functional partners
You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.
Practical experience with machine learning (e.g. pytorch). Passion to take research ideas to production.
Track record of promoting statistical rigour and experimental best practices in your prior roles.
Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
Experience working in a fast-moving tech company or startup.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nAs a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.\n\n \n\nThis means you might:\n\n - Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success\n\n - Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance\n\n - Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements\n\n\nWHAT WE ARE LOOKING FOR IN OUR CANDIDATE\n\n\nESSENTIAL\n\n - 3+ years experience working in a Data Science role.\n\n - Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.\n\n - Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics\n\n - Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats\n\n - Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)\n\n - Well-versed in summarising, visualising and communicating findings in an accessible and compelling way\n\n - Track record of influencing team direction through your findings \n\n - A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.\n\n - Comfortable working asynchronously across time zones with cross-functional partners\n\n - You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.\n\n\nDESIRED\n\n - Practical experience with machine learning (e.g. pytorch). Passion to take research ideas to production.\n\n - Track record of promoting statistical rigour and experimental best practices in your prior roles.\n\n - Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.\n\n - Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)\n\n - Experience working in a fast-moving tech company or startup.\n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"1c3f90dc-2805-4af1-9491-67cdaa056efe","title":"Control Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-04-14T19:35:27.965+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/1c3f90dc-2805-4af1-9491-67cdaa056efe","applyUrl":"https://jobs.ashbyhq.com/wayve/1c3f90dc-2805-4af1-9491-67cdaa056efe/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re seeking an exceptional Engineer to join our Germany-based Application Engineering team, focused on localising and advancing Wayve’s autonomous driving technology for the German market. You’ll play a pivotal role in integrating, validating, and optimising our MPC-based trajectory controller and AI software stack on new vehicle platforms ensuring safe, reliable, and high-performance driving in diverse real-world conditions.
This is a unique opportunity to work at the intersection of controls, systems integration, and applied machine learning, helping expand our AV capabilities across new operational domains while collaborating closely with robotics, ML, and vehicle engineering experts.
Integrate and validate Wayve’s AI software stack and MPC-based trajectory controller on customer hardware and vehicle platforms.
Maintain and enhance the controller (coupled with ML-driven trajectory generation) to improve performance, stability, and reliability across different vehicles and environments.
Establish and advance control and integration methods for ML-coupled systems, ensuring robustness and scalability across operational domains.
Test and optimise system behaviour in challenging driving scenarios — from highways to urban settings and adverse weather conditions.
Develop and refine simulation and evaluation pipelines to guarantee real-world optimality and control quality.
Collaborate with cross-functional teams (Verification, Release, OEM partners) to diagnose and resolve integration and performance issues.
In order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential:
Strong theoretical knowledge of control theory, optimisation, model-predictive control, state estimation and numerical methods.
Practical experience in developing and tuning control systems for physical systems, both in simulation and in the real world.
Experience productionising and scaling systems including real-time controllers and monitoring their performance at scale.
Strong C++ and Python.
Desirable:
Experience with control, dynamics and modelling of road vehicles.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
This is a full-time role based in our office in Leonberg, GER. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWe’re seeking an exceptional Engineer to join our Germany-based Application Engineering team, focused on localising and advancing Wayve’s autonomous driving technology for the German market. You’ll play a pivotal role in integrating, validating, and optimising our MPC-based trajectory controller and AI software stack on new vehicle platforms ensuring safe, reliable, and high-performance driving in diverse real-world conditions.\n\nThis is a unique opportunity to work at the intersection of controls, systems integration, and applied machine learning, helping expand our AV capabilities across new operational domains while collaborating closely with robotics, ML, and vehicle engineering experts.\n\n\nKEY RESPONSIBILITIES\n\n - \n\n - Integrate and validate Wayve’s AI software stack and MPC-based trajectory controller on customer hardware and vehicle platforms.\n\n - Maintain and enhance the controller (coupled with ML-driven trajectory generation) to improve performance, stability, and reliability across different vehicles and environments.\n\n - Establish and advance control and integration methods for ML-coupled systems, ensuring robustness and scalability across operational domains.\n\n - Test and optimise system behaviour in challenging driving scenarios — from highways to urban settings and adverse weather conditions.\n\n - Develop and refine simulation and evaluation pipelines to guarantee real-world optimality and control quality.\n\n - Collaborate with cross-functional teams (Verification, Release, OEM partners) to diagnose and resolve integration and performance issues.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential:\n\n - Strong theoretical knowledge of control theory, optimisation, model-predictive control, state estimation and numerical methods.\n\n - Practical experience in developing and tuning control systems for physical systems, both in simulation and in the real world.\n\n - Experience productionising and scaling systems including real-time controllers and monitoring their performance at scale.\n\n - Strong C++ and Python.\n\nDesirable:\n\n - Experience with control, dynamics and modelling of road vehicles.\n\nWe understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.\n\n\n\nThis is a full-time role based in our office in Leonberg, GER. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"2034e2af-9fd2-4ca3-9bca-bc68b6576cd5","title":"Principal Software Engineer, Robot Software","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-05-08T16:53:32.013+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/2034e2af-9fd2-4ca3-9bca-bc68b6576cd5","applyUrl":"https://jobs.ashbyhq.com/wayve/2034e2af-9fd2-4ca3-9bca-bc68b6576cd5/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As the Principal Software Engineer - Robot Software, you will be a technical partner to the Head of Robot Software within the broader Vehicle Software department. This is a high-visibility role where you will influence the roadmap for Embodied AI platform (e.g. an autonomous vehicle) capabilities and mentor the next generation of technical leaders. You will be responsible for the architectural integrity, scalability, and highly-reliable performance of the software stacks that power our vehicles. Your success in this role is defined by the business success built upon your technical roadmaps, the team's success and consistent alignment during their execution, and the adoption and impact of your processes and guidance by the team.
Technical Strategy & Vision: Partner with leadership to define a 12-24 month technical roadmap. Chart a course to align, upgrade, and enhance existing systems to meet customer demands and improve internal efficiency. Identify emerging technologies that will keep the company ahead of the curve. Balance the organization’s technical debt against new feature velocity.
System Architecture: Lead the design of complex, cross-functional systems. You will ensure that the \"Robot\" layer integrates seamlessly with the broader Embodied AI algorithms (e.g. driving) while maintaining safety and performance constraints.
Engineering Excellence: Set the bar for code quality, testing rigor, and observability. You’ll lead design reviews for critical components of the stack and \"unblock\" teams facing deep-seated architectural debt. You will observe common challenges across disparate workstreams (e.g., latency spikes or data serialization bottlenecks) and champion centralized, reusable solutions that benefit the entire Robot Software organization.
Cross-Functional Partnership: Act as the technical bridge between Robot Software and neighboring departments like Hardware, Production Software, Simulation, Application Software, Data Platform, and DevOps to ensure hardware-software parity and efficient data flywheels. Identify dependencies and risks that live in the \"seams\" between projects ensuring, e.g. that the impacts from a change in the sensor drivers is proactively understood and cascaded by joint analysis with the behaviors and simulation teams.
Technical Mentorship: Cultivate a culture of excellence. You won't just manage tasks; you will grow Senior and Staff engineers through high-level coaching and by modeling principled decision-making.
Variable Depth Engagement: Demonstrate the \"T-shaped\" leadership required to oversee a diverse portfolio of initiatives. This ranges from providing high-level directional steering on long-term R&D projects to performing \"deep-dive\" investments on critical path blockers. You will calibrate the level of oversight based on project risk, providing \"light-touch\" architectural consulting for mature systems while embedding deeply with teams launching \"zero-to-one\" capabilities.
In order to set you up for success as a Principal Software Engineer - Robot Software at Wayve, we’re looking for the following skills and experience.
Essential
Domain Expertise: Deep experience in Robotics Middleware (ROS2, Cyber RT, or custom IPCs) and Real-Time Systems.
Languages: Mastery of C++ (17/20) with a focus on memory management and concurrency. Proficiency in Python.
Architectural Depth: Proven track record of shipping complex autonomous systems, distributed systems, or safety-critical embedded software.
Problem Solving: Ability to debug \"impossible\" problems across the boundary of hardware and software.
Leadership: Exceptional communication skills; ability to explain complex technical trade-offs to non-technical stakeholders.
Safety Above All: Understands that in the world of self-driving, \"moving fast and breaking things\" isn't an option.
What sets top candidates apart are their habits, behaviors, and demonstrated past ability to:
Anticipates Failure: Thinks three steps ahead e.g. about how a change in one sub-system might break the integration of a parallel roadmap six months from now.
Simplify Complexity: Can take a messy, monolithic codebase and guide the team toward a clean, modular architecture without stopping feature development.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $295,500 to $375,100, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs the Principal Software Engineer - Robot Software, you will be a technical partner to the Head of Robot Software within the broader Vehicle Software department. This is a high-visibility role where you will influence the roadmap for Embodied AI platform (e.g. an autonomous vehicle) capabilities and mentor the next generation of technical leaders. You will be responsible for the architectural integrity, scalability, and highly-reliable performance of the software stacks that power our vehicles. Your success in this role is defined by the business success built upon your technical roadmaps, the team's success and consistent alignment during their execution, and the adoption and impact of your processes and guidance by the team.\n\n\nKEY DUTIES & RESPONSIBILITIES\n\n - Technical Strategy & Vision: Partner with leadership to define a 12-24 month technical roadmap. Chart a course to align, upgrade, and enhance existing systems to meet customer demands and improve internal efficiency. Identify emerging technologies that will keep the company ahead of the curve. Balance the organization’s technical debt against new feature velocity. \n\n - System Architecture: Lead the design of complex, cross-functional systems. You will ensure that the \"Robot\" layer integrates seamlessly with the broader Embodied AI algorithms (e.g. driving) while maintaining safety and performance constraints.\n\n - Engineering Excellence: Set the bar for code quality, testing rigor, and observability. You’ll lead design reviews for critical components of the stack and \"unblock\" teams facing deep-seated architectural debt. You will observe common challenges across disparate workstreams (e.g., latency spikes or data serialization bottlenecks) and champion centralized, reusable solutions that benefit the entire Robot Software organization.\n\n - Cross-Functional Partnership: Act as the technical bridge between Robot Software and neighboring departments like Hardware, Production Software, Simulation, Application Software, Data Platform, and DevOps to ensure hardware-software parity and efficient data flywheels. Identify dependencies and risks that live in the \"seams\" between projects ensuring, e.g. that the impacts from a change in the sensor drivers is proactively understood and cascaded by joint analysis with the behaviors and simulation teams.\n\n - Technical Mentorship: Cultivate a culture of excellence. You won't just manage tasks; you will grow Senior and Staff engineers through high-level coaching and by modeling principled decision-making.\n\n - Variable Depth Engagement: Demonstrate the \"T-shaped\" leadership required to oversee a diverse portfolio of initiatives. This ranges from providing high-level directional steering on long-term R&D projects to performing \"deep-dive\" investments on critical path blockers. You will calibrate the level of oversight based on project risk, providing \"light-touch\" architectural consulting for mature systems while embedding deeply with teams launching \"zero-to-one\" capabilities. \n\n\nABOUT YOU \n\nIn order to set you up for success as a Principal Software Engineer - Robot Software at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Domain Expertise: Deep experience in Robotics Middleware (ROS2, Cyber RT, or custom IPCs) and Real-Time Systems.\n\n - Languages: Mastery of C++ (17/20) with a focus on memory management and concurrency. Proficiency in Python.\n\n - Architectural Depth: Proven track record of shipping complex autonomous systems, distributed systems, or safety-critical embedded software.\n\n - Problem Solving: Ability to debug \"impossible\" problems across the boundary of hardware and software.\n\n - Leadership: Exceptional communication skills; ability to explain complex technical trade-offs to non-technical stakeholders.\n\n - Safety Above All: Understands that in the world of self-driving, \"moving fast and breaking things\" isn't an option.\n\nWhat sets top candidates apart are their habits, behaviors, and demonstrated past ability to:\n\n - Anticipates Failure: Thinks three steps ahead e.g. about how a change in one sub-system might break the integration of a parallel roadmap six months from now.\n\n - Simplify Complexity: Can take a messy, monolithic codebase and guide the team toward a clean, modular architecture without stopping feature development.\n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $295,500 to $375,100, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"174ecc4c-4c45-4e69-ac1f-4cb1c626696d","title":"Director AV Product Engineering","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-05-27T23:27:02.182+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/174ecc4c-4c45-4e69-ac1f-4cb1c626696d","applyUrl":"https://jobs.ashbyhq.com/wayve/174ecc4c-4c45-4e69-ac1f-4cb1c626696d/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Director of Engineering you will manage the Product Engineering group within our AI Engineering organisation. You will report to the VP of Autonomy.
The role is on the critical path to the financial success of the business. You are responsible for taking AI model backbones and delivering an autonomous vehicle capability roadmap with production-level quality. This includes collecting, filtering and selecting the most relevant training data; and then training, tuning, debugging production models. The technology will be deployed to multiple OEM partners working with separate Application teams.
You are expected to establish solid ML practices from the start and to attract technical leadership. You will lead multiple teams covering Driving, ADAS, Parking, HMI functionality.
You will set the technical direction in your area and ensure that deliverables align with company objectives. You will provide leadership and guidance to each of the Engineering Managers that work within your area. You will steer the teams and coordinate with others across Wayve. You will work with leaders across the company to ensure career growth for your teams.
This means you will:
Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned and galvanised.
Frame autonomous driving as a problem that can be solved by data. Define efficient data curriculums to ensure product feature and geographical coverage.
Drive an eval-driven culture to reach KPI targets with high predictability and resource efficiency.
Partner with the senior leadership team to maintain a culture of impact, performance, and health.
Build technical capabilities across the division and develop talented engineers as Wayve grows. Build resilient and reliable systems, teams and individuals.
Work closely with team members to develop career plans and growth trajectories based on each individual’s strengths and weaknesses and their own aspirations.
You will be essential to Wayve’s mission, deeply enjoy what you do, take immense pride in being a part of something big, and love pushing the boundaries of what’s possible.
In order to set you up for success as an Engineering Director at Wayve, we’re looking for the following skills and experience.
Essential
You have delivered successful Autonomy products that rely on complex AI models.
Management: experience leading complex teams, e.g., multiple management layers or matrixed.
Domain skills: experience with autonomy products – autopilot/navigation, active safety, parking.
Product delivery skills: roadmap articulation, interface with leadership & business functions.
Execution skills: resource allocation, program planning and execution 1-2 years out.
Engineering skills: code development practices, testing, serviceability.
Education: BS or MS in Computer Science, Engineering, or similar experience.
Desirable
Experience applying foundation models to implement specific product features.
Experience working with multiple automotive OEMs.
Experience with GenAI simulation.
Experience with cloud platforms, databases, large scale data pipelines.
This is a full-time role based in our office in London or Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
The reasonably estimated salary for this role ranges from $440,000 to $580,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs Director of Engineering you will manage the Product Engineering group within our AI Engineering organisation. You will report to the VP of Autonomy. \n\nThe role is on the critical path to the financial success of the business. You are responsible for taking AI model backbones and delivering an autonomous vehicle capability roadmap with production-level quality. This includes collecting, filtering and selecting the most relevant training data; and then training, tuning, debugging production models. The technology will be deployed to multiple OEM partners working with separate Application teams.\n\nYou are expected to establish solid ML practices from the start and to attract technical leadership. You will lead multiple teams covering Driving, ADAS, Parking, HMI functionality.\n\nYou will set the technical direction in your area and ensure that deliverables align with company objectives. You will provide leadership and guidance to each of the Engineering Managers that work within your area. You will steer the teams and coordinate with others across Wayve. You will work with leaders across the company to ensure career growth for your teams.\n\nThis means you will:\n\n - Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned and galvanised.\n\n - Frame autonomous driving as a problem that can be solved by data. Define efficient data curriculums to ensure product feature and geographical coverage.\n\n - Drive an eval-driven culture to reach KPI targets with high predictability and resource efficiency.\n\n - Partner with the senior leadership team to maintain a culture of impact, performance, and health.\n\n - Build technical capabilities across the division and develop talented engineers as Wayve grows. Build resilient and reliable systems, teams and individuals.\n\n - Work closely with team members to develop career plans and growth trajectories based on each individual’s strengths and weaknesses and their own aspirations.\n\nYou will be essential to Wayve’s mission, deeply enjoy what you do, take immense pride in being a part of something big, and love pushing the boundaries of what’s possible.\n\n\nABOUT YOU \n\nIn order to set you up for success as an Engineering Director at Wayve, we’re looking for the following skills and experience. \n\nEssential\n\n - You have delivered successful Autonomy products that rely on complex AI models.\n\n - Management: experience leading complex teams, e.g., multiple management layers or matrixed.\n\n - Domain skills: experience with autonomy products – autopilot/navigation, active safety, parking.\n\n - Product delivery skills: roadmap articulation, interface with leadership & business functions.\n\n - Execution skills: resource allocation, program planning and execution 1-2 years out.\n\n - Engineering skills: code development practices, testing, serviceability.\n\n - Education: BS or MS in Computer Science, Engineering, or similar experience.\n\nDesirable\n\n - Experience applying foundation models to implement specific product features.\n\n - Experience working with multiple automotive OEMs.\n\n - Experience with GenAI simulation.\n\n - Experience with cloud platforms, databases, large scale data pipelines.\n\nThis is a full-time role based in our office in London or Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nThe reasonably estimated salary for this role ranges from $440,000 to $580,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"3cbb5299-a439-445e-8856-a53be6b7918b","title":"Senior Data Scientist","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-05-26T21:49:26.349+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/3cbb5299-a439-445e-8856-a53be6b7918b","applyUrl":"https://jobs.ashbyhq.com/wayve/3cbb5299-a439-445e-8856-a53be6b7918b/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As part of our mission to scale end-to-end embodied AI for autonomous driving, we are building a world-class Data Management team focused on unlocking high-quality, targeted data acquisition that drives model performance and predictability. We are looking for a highly analytical and systems-minded ODD & Behavioral Competency Analyst to lead the analysis of Operational Design Domains (ODDs), traffic patterns, and regulatory behaviors across our target markets.
This role will be critical in defining what data is needed, where, and how much, in order to build models with high Mean Time Between Failures (MTBF) and generalization capabilities across varied geographies.
ODD Characterization:
Analyze and define the operational design domain (ODD) for each target market or region, including geography, infrastructure, weather, road types, traffic density, and local driving behaviors.
Identify ODD boundaries, edge conditions, and failure triggers to inform data collection and system design.
Behavioral Competency Mapping:
Build and maintain a taxonomy of behavioral competencies (e.g., merging, yielding, unprotected turns, interacting with pedestrians) required to safely operate in each ODD.
Quantify the complexity and frequency of each competency based on local traffic data, regulations, and real-world observations.
ODD Permutation & Scaling Framework:
Develop a framework to compute and prioritize permutations of ODD parameters and behavioral competencies to optimize data collection, scenario coverage, and scaling efficiency.
Recommend minimal data slices needed to support safe and predictable system performance in a new region.
Current model behavioural Pattern Analysis:
Analyze current model kpi patterns, and common driving behaviors, assess differences in required system behavior and edge case risks.
Collaborate with safety and product on findings and proposals for behavioural improvement.
Cross-functional Collaboration:
Work closely with data engineering, safety, simulation, product, and deployment teams to turn ODD and competency insights into actionable data strategies and deployment plans.
Provide input to scenario library development, synthetic data generation, and test case prioritization.
Predictability & MTBF Guidance:
Use historical data and statistical models to identify data gaps or high-variance behaviors that impact MTBF performance.
Provide guidance on what additional data is needed to reach MTBF targets in each ODD segment.
Essential
7+ years experience in systems engineering, automotive data analysis, data science, or a related field.
Experience analyzing or defining ODDs in the context of AV/ADAS technologies is a strong plus.
Familiarity with traffic regulations and human driving behaviors across multiple geographies.
Proficiency in data analysis tools (e.g., Python, SQL, GIS, Jupyter accessing large pools of data from frameworks like DataBricks) and ability to visualize ODD and scenario coverage metrics.
Ability to work cross-functionally and translate domain analysis into technical and product requirements.
Experience working in an agile, fast-scaling environment with a strong execution mindset.
Desirable:
MS or PhD in Physics, Statistics or Mathematics with specialism in traffic system modeling, autonomous driving deployment, or urban mobility analysis.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $298,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs part of our mission to scale end-to-end embodied AI for autonomous driving, we are building a world-class Data Management team focused on unlocking high-quality, targeted data acquisition that drives model performance and predictability. We are looking for a highly analytical and systems-minded ODD & Behavioral Competency Analyst to lead the analysis of Operational Design Domains (ODDs), traffic patterns, and regulatory behaviors across our target markets.\n\nThis role will be critical in defining what data is needed, where, and how much, in order to build models with high Mean Time Between Failures (MTBF) and generalization capabilities across varied geographies.\n\n\nKEY RESPONSIBILITIES:\n\n - ODD Characterization:\n \n - Analyze and define the operational design domain (ODD) for each target market or region, including geography, infrastructure, weather, road types, traffic density, and local driving behaviors.\n \n - Identify ODD boundaries, edge conditions, and failure triggers to inform data collection and system design.\n\n - Behavioral Competency Mapping:\n \n - Build and maintain a taxonomy of behavioral competencies (e.g., merging, yielding, unprotected turns, interacting with pedestrians) required to safely operate in each ODD.\n \n - Quantify the complexity and frequency of each competency based on local traffic data, regulations, and real-world observations.\n\n - ODD Permutation & Scaling Framework:\n \n - Develop a framework to compute and prioritize permutations of ODD parameters and behavioral competencies to optimize data collection, scenario coverage, and scaling efficiency.\n \n - Recommend minimal data slices needed to support safe and predictable system performance in a new region.\n\n - Current model behavioural Pattern Analysis:\n \n - Analyze current model kpi patterns, and common driving behaviors, assess differences in required system behavior and edge case risks.\n \n - Collaborate with safety and product on findings and proposals for behavioural improvement.\n\n - Cross-functional Collaboration:\n \n - Work closely with data engineering, safety, simulation, product, and deployment teams to turn ODD and competency insights into actionable data strategies and deployment plans.\n \n - Provide input to scenario library development, synthetic data generation, and test case prioritization.\n\n - Predictability & MTBF Guidance:\n \n - Use historical data and statistical models to identify data gaps or high-variance behaviors that impact MTBF performance.\n \n - Provide guidance on what additional data is needed to reach MTBF targets in each ODD segment.\n\n \n\n\nABOUT YOU \n\nEssential\n\n - 7+ years experience in systems engineering, automotive data analysis, data science, or a related field.\n\n - Experience analyzing or defining ODDs in the context of AV/ADAS technologies is a strong plus.\n\n - Familiarity with traffic regulations and human driving behaviors across multiple geographies.\n\n - Proficiency in data analysis tools (e.g., Python, SQL, GIS, Jupyter accessing large pools of data from frameworks like DataBricks) and ability to visualize ODD and scenario coverage metrics.\n\n - Ability to work cross-functionally and translate domain analysis into technical and product requirements.\n\n - Experience working in an agile, fast-scaling environment with a strong execution mindset.\n\nDesirable:\n\nMS or PhD in Physics, Statistics or Mathematics with specialism in traffic system modeling, autonomous driving deployment, or urban mobility analysis.\n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $298,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"e89fc755-5322-40f3-9f10-74d7f0d41406","title":"Machine Learning Engineer, App SW","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-05-28T14:51:17.104+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/e89fc755-5322-40f3-9f10-74d7f0d41406","applyUrl":"https://jobs.ashbyhq.com/wayve/e89fc755-5322-40f3-9f10-74d7f0d41406/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As an ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.
You’ll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.
Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.
Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
Mentor senior engineers and shape the long-term technical direction across Autonomy.
In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.
Extensive and proven track record of shipping deep learning systems to production.
Expert in deep learning (esp. sequential models, control, planning, or perception).
Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.
Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.
Prior work in autonomous driving, imitation learning, or trajectory prediction.
Familiarity with personalization, human behavior modeling, or driver intent inference.
Experience integrating ML systems into production hardware or multi-agent simulation.
This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs an ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.\n\nYou’ll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.\n\n\nRESPONSIBILITIES:\n\n - Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.\n\n - Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.\n\n - Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.\n\n - Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.\n\n - Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.\n\n - Collaborate cross-functionally across various teams to ensure integration and iteration velocity.\n\n - Mentor senior engineers and shape the long-term technical direction across Autonomy.\n\n\nABOUT YOU: \n\nIn order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience. \n\n\nESSENTIAL\n\n - Extensive and proven track record of shipping deep learning systems to production.\n\n - Expert in deep learning (esp. sequential models, control, planning, or perception).\n\n - Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.\n\n - Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.\n\n - Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.\n\n\nDESIRABLE\n\n - Prior work in autonomous driving, imitation learning, or trajectory prediction.\n\n - Familiarity with personalization, human behavior modeling, or driver intent inference.\n\n - Experience integrating ML systems into production hardware or multi-agent simulation.\n\nThis role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nAt Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"7ebd2ab6-01b7-46c7-8752-aa78e8435b73","title":"Vehicle Safety Operator","department":"Fleet Operations","team":"Fleet Operations","employmentType":"Temporary","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-06-05T10:15:41.697+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/7ebd2ab6-01b7-46c7-8752-aa78e8435b73","applyUrl":"https://jobs.ashbyhq.com/wayve/7ebd2ab6-01b7-46c7-8752-aa78e8435b73/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
If you're passionate about cars and love driving, this role offers you an opportunity to shape the future of road safety. While developing new skills in artificial intelligence, you will provide real world feedback and play a vital role in the constantly developing driving field. As a Vehicle Safety Operator you will be responsible for running on road experiments and reporting back to our research and development teams.
Key responsibilities
Be a part of our world-class, diverse operations team to test our vehicles all over Germany.
Monitor our artificial intelligence and respond to all hazards to guarantee safe testing at all times.
Evaluate our artificial intelligence during tests, and provide expert feedback to our research teams and engineers.
Provide real-world driving examples to train our artificial intelligence before you test on public roads.
Support our safety and engineer teams by maintaining our high safety standards, and reporting safety and vehicle issues.
In order to set you up for success as a Vehicle Safety Operator at Wayve, we’re looking for the following skills and experience.
Essential
Full clean German driving licence.
At least 5 years' driving experience - mainly in Germany.
No blameworthy insurance claims in the past three years.
Strong communication skills and a clear ability to empathise with others.
Happy to work alone and equally happy working within a team.
Adaptable, flexible and passionate about solving problems with innovative solutions.
Proficient in Microsoft Office suite, or equivalent (Google Suite)
Basic Navigation: Understanding how to navigate the home screen, open and close apps, and switch between apps.
Touchscreen Gestures: Familiarity with common touchscreen gestures like tap, swipe, pinch, and zoom.
Typing and Text Editing: Using the on-screen keyboard for typing, selecting text, and using copy, paste, and other text-editing functions.
Connecting to Wi-Fi and Managing Settings: Knowing how to connect to Wi-Fi networks and manage settings like brightness, volume, and Bluetooth.
Using Basic Apps: Proficiency in using basic apps like Safari for web browsing, Mail for email, Photos for managing pictures, and Calendar for scheduling.
Troubleshooting Basic Issues: Handling common problems like app crashes, restarting the device, or resetting network settings.
All applications are required to disclose any second job as part of the application process.
All applicants will be subject to a health check (before/after) the offer and should disclose any conditions that may affect their ability to safely operate.
Employment is contingent upon passing pre-employment and ongoing drug and alcohol testing, in accordance with our Drugs & Alcohol policy. You will be tested during your onsite interview.
Fluent in English and German.
Desirable
Prior experience in vehicle testing, AV environments, or technical demonstrations.
Knowledge of AV technology or autonomous systems.
Customer-facing or hospitality experience is a plus.
T1 and T2 Bertha certification.
Shift Pattern - Rota issued 4 weeks in advance.
Monday to Sunday - 40 hours per week/weekend (must be able to work weekends)
06:30-15:00
14:30-23:00
This role is a 1-year Fixed Term Contract (FTC). Based onsite at our office in Leonberg. National and international travelling is required
Please carefully consider your commute options to ensure that you are comfortable with the travel distance and can consistently arrive on time. For reference, our office does have on-site parking that is currently available but cannot be guaranteed long-term as the team continues to grow and if your commute is more than 1.5 hours one way, it may not be practical for this role.
If you are passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nIf you're passionate about cars and love driving, this role offers you an opportunity to shape the future of road safety. While developing new skills in artificial intelligence, you will provide real world feedback and play a vital role in the constantly developing driving field. As a Vehicle Safety Operator you will be responsible for running on road experiments and reporting back to our research and development teams. \n\nKey responsibilities\n\n - Be a part of our world-class, diverse operations team to test our vehicles all over Germany.\n\n - Monitor our artificial intelligence and respond to all hazards to guarantee safe testing at all times.\n\n - Evaluate our artificial intelligence during tests, and provide expert feedback to our research teams and engineers.\n\n - Provide real-world driving examples to train our artificial intelligence before you test on public roads.\n\n - Support our safety and engineer teams by maintaining our high safety standards, and reporting safety and vehicle issues.\n \n \n\n\nABOUT YOU \n\nIn order to set you up for success as a Vehicle Safety Operator at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Full clean German driving licence.\n\n - At least 5 years' driving experience - mainly in Germany.\n\n - No blameworthy insurance claims in the past three years.\n\n - Strong communication skills and a clear ability to empathise with others.\n\n - Happy to work alone and equally happy working within a team.\n\n - Adaptable, flexible and passionate about solving problems with innovative solutions.\n\n - Proficient in Microsoft Office suite, or equivalent (Google Suite)\n\n - Basic Navigation: Understanding how to navigate the home screen, open and close apps, and switch between apps.\n\n - Touchscreen Gestures: Familiarity with common touchscreen gestures like tap, swipe, pinch, and zoom.\n\n - Typing and Text Editing: Using the on-screen keyboard for typing, selecting text, and using copy, paste, and other text-editing functions.\n\n - Connecting to Wi-Fi and Managing Settings: Knowing how to connect to Wi-Fi networks and manage settings like brightness, volume, and Bluetooth.\n\n - Using Basic Apps: Proficiency in using basic apps like Safari for web browsing, Mail for email, Photos for managing pictures, and Calendar for scheduling.\n\n - Troubleshooting Basic Issues: Handling common problems like app crashes, restarting the device, or resetting network settings.\n\n - All applications are required to disclose any second job as part of the application process.\n\n - All applicants will be subject to a health check (before/after) the offer and should disclose any conditions that may affect their ability to safely operate.\n\n - Employment is contingent upon passing pre-employment and ongoing drug and alcohol testing, in accordance with our Drugs & Alcohol policy. You will be tested during your onsite interview.\n\n - Fluent in English and German.\n\nDesirable \n\n - Prior experience in vehicle testing, AV environments, or technical demonstrations.\n\n - Knowledge of AV technology or autonomous systems.\n\n - Customer-facing or hospitality experience is a plus.\n\n - T1 and T2 Bertha certification.\n\nShift Pattern - Rota issued 4 weeks in advance.\n\nMonday to Sunday - 40 hours per week/weekend (must be able to work weekends)\n\n - 06:30-15:00\n\n - 14:30-23:00\n\nThis role is a 1-year Fixed Term Contract (FTC). Based onsite at our office in Leonberg. National and international travelling is required \n\n\nPlease carefully consider your commute options to ensure that you are comfortable with the travel distance and can consistently arrive on time. For reference, our office does have on-site parking that is currently available but cannot be guaranteed long-term as the team continues to grow and if your commute is more than 1.5 hours one way, it may not be practical for this role. \n\n\n\nIf you are passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.\n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"1c069aa5-b2c4-4dff-bb4b-ea4751249297","title":"Systems Engineer, AI Validation ","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-06-03T16:43:13.986+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/1c069aa5-b2c4-4dff-bb4b-ea4751249297","applyUrl":"https://jobs.ashbyhq.com/wayve/1c069aa5-b2c4-4dff-bb4b-ea4751249297/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve’s Engineering Validation team builds confidence in the autonomy systems we deliver to product and customer teams. As a Systems Engineer, you will own a core part of the behavior validation for the Wayve AI Driver, from strategy to implementation and execution. Your contributions will enable the successful integration of the AI Driver across a range of autonomy products. This critical work will help the Wayve AI Driver reach millions of customers globally.
Key Responsibilities
Develop and implement a comprehensive validation strategy across test modalities for multiple autonomy products.
Define and implement general purpose metrics for validating on-road and simulated driving behavior.
Define test coverage requirements and build comprehensive test suites.
Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams.
Analyze test results and report findings to Release and Autonomy Engineering stakeholders.
Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution.
In order to set you up for success as a Systems Engineer (Senior / Staff), AI Validation at Wayve, we’re looking for the following skills and experience.
5+ years of experience working on automated driving, robotics, or related product.
BSc, MSc, or PhD in Computer Science, Robotics, Aerospace, or a related field.
Proficiency in Python to implement metrics and work with evaluation codebase.
Deep understanding of driving behavior and how to measure driving performance.
Experience with both simulated and and physical testing environments for autonomous systems.
Experience analyzing and reporting validation results.
Demonstrated ownership driving validation concepts from ideation to implementation in ambiguous, fast-paced environments.
Experience with modern AI tools and agentic workflows
Experience analyzing large datasets with SQL
This is a full-time role based in our office in Sunnyvale and the reasonably estimated salary for this role ranges from $209,700 to $302,575 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWayve’s Engineering Validation team builds confidence in the autonomy systems we deliver to product and customer teams. As a Systems Engineer, you will own a core part of the behavior validation for the Wayve AI Driver, from strategy to implementation and execution. Your contributions will enable the successful integration of the AI Driver across a range of autonomy products. This critical work will help the Wayve AI Driver reach millions of customers globally.\n\nKey Responsibilities\n\n - Develop and implement a comprehensive validation strategy across test modalities for multiple autonomy products.\n\n - Define and implement general purpose metrics for validating on-road and simulated driving behavior.\n\n - Define test coverage requirements and build comprehensive test suites.\n\n - Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams.\n\n - Analyze test results and report findings to Release and Autonomy Engineering stakeholders.\n\n - Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Systems Engineer (Senior / Staff), AI Validation at Wayve, we’re looking for the following skills and experience. \n\n\nESSENTIAL\n\n - 5+ years of experience working on automated driving, robotics, or related product.\n\n - BSc, MSc, or PhD in Computer Science, Robotics, Aerospace, or a related field.\n\n - Proficiency in Python to implement metrics and work with evaluation codebase.\n\n - Deep understanding of driving behavior and how to measure driving performance.\n\n - Experience with both simulated and and physical testing environments for autonomous systems.\n\n - Experience analyzing and reporting validation results.\n\n - Demonstrated ownership driving validation concepts from ideation to implementation in ambiguous, fast-paced environments.\n\n\nDESIRABLE\n\n - Experience with modern AI tools and agentic workflows \n\n - Experience analyzing large datasets with SQL\n\n \n\nThis is a full-time role based in our office in Sunnyvale and the reasonably estimated salary for this role ranges from $209,700 to $302,575 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nAt Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"b622e397-e12c-40af-a75a-887fbcd251cf","title":"ADAS Feature Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-06-04T13:13:21.709+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/b622e397-e12c-40af-a75a-887fbcd251cf","applyUrl":"https://jobs.ashbyhq.com/wayve/b622e397-e12c-40af-a75a-887fbcd251cf/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are looking for an ADAS Feature Engineer to help build the application-layer software that connects Wayve’s AI capabilities to real vehicle behaviour. This role sits at the intersection of AI, vehicle systems, active safety, and product delivery: you will develop C++ feature logic, validation tools, and system behaviours that allow AI-native driving technology to operate robustly in real-world vehicle environments. You will work closely with machine learning, product, vehicle integration, and systems teams to turn model outputs and vehicle data into reliable, testable, and customer-relevant ADAS features.
Key Responsibilities:
Design, implement, and maintain C++ application software for ADAS and active-safety-related vehicle features.
Build feature-level logic on top of AI / ML outputs, including validation, feasibility checks, state machines, fallback behaviours, and safety-aware decision logic.
Work with ML engineers to understand model outputs, limitations, failure modes, and how these translate into vehicle behaviour.
Use logs, simulation, replay, and vehicle testing to debug, tune, and validate feature behaviour.
Define and improve metrics, test cases, and validation strategies for ADAS feature performance, robustness, and quality.
Collaborate with product, systems, vehicle integration, and OEM-facing teams to translate requirements and real-world constraints into engineering solutions.
Support field testing and iterative development, including investigation of vehicle issues, edge cases, and performance gaps.
Contribute to software architecture, code quality, tooling, and engineering practices for feature development.
In order to set you up for success as an ADAS Feature Engineer at Wayve, we’re looking for the following skills and experience:
Essential
Strong C++ software engineering experience, ideally in production or safety-relevant systems.
Hands-on experience in ADAS, autonomous driving, robotics, vehicle software, active safety, or closely related domains.
Practical understanding of vehicle feature development, including real-world testing, simulation, replay, logs, or prototype vehicle debugging.
Ability to reason about vehicle behaviour, sensor/model inputs, timing, failure modes, and feature-level decision logic.
Experience working cross-functionally with teams such as ML, perception, planning, controls, vehicle integration, product, or systems engineering.
Strong problem-solving skills and the ability to make pragmatic engineering trade-offs under ambiguity.
A quality mindset, with experience writing testable, maintainable software and using data to validate behaviour.
Desirable
Experience with ADAS features such as AEB, ISA, AES, ACC, lane keeping, collision avoidance, trajectory validation, or active safety systems.
Experience at an automotive OEM, Tier 1 supplier, autonomous driving company, robotics company, or vehicle technology startup.
Familiarity with ML or AI-based autonomy systems, including how model outputs are consumed by downstream software.
Experience with ROS, Linux, Bazel, CMake, Docker, QNX, protobuf, MCAP, CAN, calibration, or vehicle logging systems.
Experience with vehicle test tracks, public-road testing, HIL/SIL, scenario-based testing, or NCAP-style validation.
Familiarity with tools used in automotive development and testing, such as CANoe, Vector tools, MicroAutoBox, or similar.
This is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWe are looking for an ADAS Feature Engineer to help build the application-layer software that connects Wayve’s AI capabilities to real vehicle behaviour. This role sits at the intersection of AI, vehicle systems, active safety, and product delivery: you will develop C++ feature logic, validation tools, and system behaviours that allow AI-native driving technology to operate robustly in real-world vehicle environments. You will work closely with machine learning, product, vehicle integration, and systems teams to turn model outputs and vehicle data into reliable, testable, and customer-relevant ADAS features.\n\nKey Responsibilities:\n\n - Design, implement, and maintain C++ application software for ADAS and active-safety-related vehicle features.\n\n - Build feature-level logic on top of AI / ML outputs, including validation, feasibility checks, state machines, fallback behaviours, and safety-aware decision logic.\n\n - Work with ML engineers to understand model outputs, limitations, failure modes, and how these translate into vehicle behaviour.\n\n - Use logs, simulation, replay, and vehicle testing to debug, tune, and validate feature behaviour.\n\n - Define and improve metrics, test cases, and validation strategies for ADAS feature performance, robustness, and quality.\n\n - Collaborate with product, systems, vehicle integration, and OEM-facing teams to translate requirements and real-world constraints into engineering solutions.\n\n - Support field testing and iterative development, including investigation of vehicle issues, edge cases, and performance gaps.\n\n - Contribute to software architecture, code quality, tooling, and engineering practices for feature development.\n\n\nABOUT YOU \n\nIn order to set you up for success as an ADAS Feature Engineer at Wayve, we’re looking for the following skills and experience:\n\nEssential \n\n - Strong C++ software engineering experience, ideally in production or safety-relevant systems.\n\n - Hands-on experience in ADAS, autonomous driving, robotics, vehicle software, active safety, or closely related domains.\n\n - Practical understanding of vehicle feature development, including real-world testing, simulation, replay, logs, or prototype vehicle debugging.\n\n - Ability to reason about vehicle behaviour, sensor/model inputs, timing, failure modes, and feature-level decision logic.\n\n - Experience working cross-functionally with teams such as ML, perception, planning, controls, vehicle integration, product, or systems engineering.\n\n - Strong problem-solving skills and the ability to make pragmatic engineering trade-offs under ambiguity.\n\n - A quality mindset, with experience writing testable, maintainable software and using data to validate behaviour.\n\nDesirable \n\n - Experience with ADAS features such as AEB, ISA, AES, ACC, lane keeping, collision avoidance, trajectory validation, or active safety systems.\n\n - Experience at an automotive OEM, Tier 1 supplier, autonomous driving company, robotics company, or vehicle technology startup.\n\n - Familiarity with ML or AI-based autonomy systems, including how model outputs are consumed by downstream software.\n\n - Experience with ROS, Linux, Bazel, CMake, Docker, QNX, protobuf, MCAP, CAN, calibration, or vehicle logging systems.\n\n - Experience with vehicle test tracks, public-road testing, HIL/SIL, scenario-based testing, or NCAP-style validation.\n\n - Familiarity with tools used in automotive development and testing, such as CANoe, Vector tools, MicroAutoBox, or similar.\n \n \n\nThis is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c34d3a8f-6d7b-4a18-9fe1-30e176d1b9f5","title":"Vehicle Safety Operator","department":"Fleet Operations","team":"Fleet Operations","employmentType":"Contract","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2025-05-08T14:26:49.661+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c34d3a8f-6d7b-4a18-9fe1-30e176d1b9f5","applyUrl":"https://jobs.ashbyhq.com/wayve/c34d3a8f-6d7b-4a18-9fe1-30e176d1b9f5/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
If you’re passionate about driving, technology, and the future of mobility, this role offers a rare opportunity to work at the forefront of autonomous driving development.
As a Vehicle Safety Operator, you will support the development of next-generation AI driving systems by operating Wayve vehicles on public roads, evaluating vehicle behaviour, and providing operational feedback to engineering teams. You will act as a critical bridge between real-world driving conditions and the engineers developing Wayve’s AI systems.
Key responsibilities:
Support real-world autonomous vehicle testing operations across Japan.
Safely monitor autonomous driving systems during on-road testing and intervene whenever required.
Provide structured operational feedback to engineers and research teams to help improve AI driving performance.
Support data collection and validation activities that contribute to the training and improvement of Wayve’s AI systems.
Maintain high operational and safety standards while accurately reporting vehicle, testing, or safety-related issues.
We’re looking for individuals who are safety-conscious, operationally disciplined, curious about technology, and comfortable working in a fast-moving environment.
Essential:
Full clean Japanese driving licence for a minimum of 5 years.
Strong driving experience in Japan and confidence operating in complex urban environments.
No blameworthy insurance claims in the past three years.
Strong communication skills and ability to remain calm and professional under pressure.
Happy to work alone and equally happy working within a team.
Adaptable, reliable, and comfortable operating in evolving environments and processes.
Proficient in Microsoft Office suite, or equivalent (Google Suite)
Comfortable using smartphones, tablets, and standard workplace software tools.
Connecting to Wi-Fi and Managing Settings: Knowing how to connect to Wi-Fi networks and manage settings like brightness, volume, and Bluetooth.
Using Basic Apps: Proficiency in using basic apps like Safari for web browsing, Mail for email, Photos for managing pictures, and Calendar for scheduling.
Troubleshooting Basic Issues: Handling common problems like app crashes, restarting the device, or resetting network settings.
All applications are required to disclose any second job as part of the application process.
All applicants will be subject to a health check before/after
Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy. This role includes pre-employment and ongoing drug/alcohol testing in accordance with company policy.
Desirable:
You have an advanced driving background (ADI, Emergency Response Advanced Driver, or similar driving qualifications)
Strong familiarity with driving across urban and highway environments in Japan.
Operations run 7 days per week, including mornings, evenings, weekends, and occasional travel support. Shift schedules are provided at least 4 weeks in advance wherever possible.
Shift Pattern - Rota issued at least 4 weeks in advance.
Monday to Sunday - 40 hours per week/weekend (must be able to work weekends)
06:30-15:30
14:30-23:30
Vehicle Safety Operators are expected to primarily work from one of our operational sites in Yokohama or Tokyo.
This is a fixed-term, 6-month contract position, which will end automatically at the end of the contract period. Based on performance, the company may offer a permanent position at the end of the contract; however, this is not guaranteed.
To support operations, Vehicle Safety Operators are also expected to travel but every effort is made to provide as much notice as possible.
Please carefully consider your commute options to ensure that you are comfortable with the travel distance and can consistently arrive on time.
If you’re excited by autonomous driving, real-world technology, and helping shape the future of mobility, we’d love to hear from you.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nIf you’re passionate about driving, technology, and the future of mobility, this role offers a rare opportunity to work at the forefront of autonomous driving development.\n\nAs a Vehicle Safety Operator, you will support the development of next-generation AI driving systems by operating Wayve vehicles on public roads, evaluating vehicle behaviour, and providing operational feedback to engineering teams. You will act as a critical bridge between real-world driving conditions and the engineers developing Wayve’s AI systems.\n\nKey responsibilities:\n\n - Support real-world autonomous vehicle testing operations across Japan.\n\n - Safely monitor autonomous driving systems during on-road testing and intervene whenever required.\n\n - Provide structured operational feedback to engineers and research teams to help improve AI driving performance.\n\n - Support data collection and validation activities that contribute to the training and improvement of Wayve’s AI systems.\n\n - Maintain high operational and safety standards while accurately reporting vehicle, testing, or safety-related issues.\n\n\nABOUT YOU \n\nWe’re looking for individuals who are safety-conscious, operationally disciplined, curious about technology, and comfortable working in a fast-moving environment.\n\nEssential:\n\n - Full clean Japanese driving licence for a minimum of 5 years.\n\n - Strong driving experience in Japan and confidence operating in complex urban environments.\n\n - No blameworthy insurance claims in the past three years.\n\n - Strong communication skills and ability to remain calm and professional under pressure.\n\n - Happy to work alone and equally happy working within a team.\n\n - Adaptable, reliable, and comfortable operating in evolving environments and processes.\n\n - Proficient in Microsoft Office suite, or equivalent (Google Suite)\n\n - Comfortable using smartphones, tablets, and standard workplace software tools.\n\n - Connecting to Wi-Fi and Managing Settings: Knowing how to connect to Wi-Fi networks and manage settings like brightness, volume, and Bluetooth.\n\n - Using Basic Apps: Proficiency in using basic apps like Safari for web browsing, Mail for email, Photos for managing pictures, and Calendar for scheduling.\n\n - Troubleshooting Basic Issues: Handling common problems like app crashes, restarting the device, or resetting network settings.\n\n - All applications are required to disclose any second job as part of the application process.\n\n - All applicants will be subject to a health check before/after \n\n - Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy. This role includes pre-employment and ongoing drug/alcohol testing in accordance with company policy.\n\nDesirable:\n\n - You have an advanced driving background (ADI, Emergency Response Advanced Driver, or similar driving qualifications)\n\n - Strong familiarity with driving across urban and highway environments in Japan.\n\nOperations run 7 days per week, including mornings, evenings, weekends, and occasional travel support. Shift schedules are provided at least 4 weeks in advance wherever possible.\n\nShift Pattern - Rota issued at least 4 weeks in advance.\n\nMonday to Sunday - 40 hours per week/weekend (must be able to work weekends)\n06:30-15:30\n14:30-23:30\n\nVehicle Safety Operators are expected to primarily work from one of our operational sites in Yokohama or Tokyo.\n\nThis is a fixed-term, 6-month contract position, which will end automatically at the end of the contract period. Based on performance, the company may offer a permanent position at the end of the contract; however, this is not guaranteed.\n\nTo support operations, Vehicle Safety Operators are also expected to travel but every effort is made to provide as much notice as possible.\n\nPlease carefully consider your commute options to ensure that you are comfortable with the travel distance and can consistently arrive on time.\n\nIf you’re excited by autonomous driving, real-world technology, and helping shape the future of mobility, we’d love to hear from you.\n\n#LI-KM1\n\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"362d94e3-6ed9-45a9-9d9a-060268ac40c0","title":"Director of Platform Management for Simulation, Evaluation & Validation","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-06-11T19:43:11.568+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/362d94e3-6ed9-45a9-9d9a-060268ac40c0","applyUrl":"https://jobs.ashbyhq.com/wayve/362d94e3-6ed9-45a9-9d9a-060268ac40c0/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Director of Platform Management for Simulation, Evaluation & Validation, you will lead the overall product vision and director for the platforms that Wayve uses to develop, evaluate, and validate the AI Driver. This includes open and closed loop simulation platforms, the evaluation test platform, synthetic data production, critical event pipelines, validation, and the workflows that connect them.
You will directly lead and indirectly influence sub team platform leads across Simulation, Evaluation, Data, and Validation to convert a complex set of cross-cutting initiatives into a single, opinionated product strategy. The job is part developer-tools PM (your users are engineers and scientists who will tell you immediately when something is slow, wrong, or in the way), part platform PM (your roadmap has to compose across simulators, datasets, evaluation, and triage), and part safety-systems PM (the outputs gate releases that put cars on real roads).
You will help shape and set vision for how our tools and services should function and work in an AV2.0 context - a Wayve-pioneered approach to both the driving stack and offline development.
Key Responsibilities
Set product vision and strategy for the platforms. Define a multi-year, multi-quarter product strategy that takes Wayve from a collection of capable tools to a unified, opinionated platform for evaluating and validating the AI Driver. Anchor the strategy in measurable customer outcomes — developer velocity, signal quality, cost per evaluation, time-to-insight, validation credibility.
Own the product roadmap end-to-end. Translate company-level priorities into a coherent roadmap across simulation, evaluation, and validation initiatives. Drive trade-offs between different internal and external customer groups. Ensure resourcing decisions are clearly communicated to other director level stakeholders.
Lead and grow the team. Manage and mentor the product managers embedded across. Hire to fill gaps, level up the craft, and build a highly capable lean team.
Build world class developer experiences. Run regular user research with Autonomy, Science, Validation, Release, and Product teams. Maintain a clear picture of what each customer segment needs from the platform, where the friction is, and which gaps are quietly bleeding velocity.
Define and defend quality bars for an internal platform. Set platform-wide standards for reliability, latency, cost per unit (per simulation, per evaluation, per enriched hour), self-service, observability, and API stability. Treat platform regressions the way a consumer team treats a churn spike.
Establish regular operational cadences. Lead monthly business reviews and close the loop on requests and progress reporting with the leadership team. Lead quarterly planning, KPI reviews, and the trade-off conversations.
Represent the platform externally. Help Wayve's leadership tell a credible story about how we develop and validate the AI Driver — to OEM partners, regulators, and at relevant industry forums.
In order to set you up for success at Wayve, we’re looking for the following skills and experience.
Essential
8+ years of product management experience, with at least 3–5 years leading PM teams (PMs and/or senior PMs reporting to you).
Track record building internal platforms, developer tools, or ML/AI evaluation infrastructure — products whose users are engineers and scientists, where the bar is set by power users with strong opinions and the ability to route around you if the tool isn't good enough.
Data driven. You always seek to answer questions with data and lean into defining the right customer facing KPIs indicative of success
Systems thinking across hardware, AI, and product. You understand how decisions in one part of the stack (data, simulator fidelity, metric design) propagate into outcomes (release confidence, on-road performance, regulator trust) elsewhere.
Insight-driven leader. A record of producing the analysis or framing that changed a \"go/no-go\" decision on a complex AI or robotics program.
Product craft. You care about workflows, latency, errors-per-hour, and how a tool feels. You apply product management best practices to measuring user experience.
AI Fluency. You not only regularly use but are a standard bearer in the application of AI tools to the job.
Desirable
Prior experience in autonomous vehicles, robotics, or another safety-critical AI/ML program (L2+, L4, surgical robotics, aerospace autonomy, etc.).
Familiarity with simulation, synthetic data, evaluation harnesses, or ML observability tools at production scale.
Working knowledge of SOTIF (ISO 21448), ISO 26262, or other safety standards relevant to validating learned systems.
Experience with internal developer platforms (CI/CD, ML platforms, data platforms) at scale.
This is a full-time role based in-office. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
The reasonably estimated salary for this role ranges from $332,000 to $415,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
#LI-HH1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs Director of Platform Management for Simulation, Evaluation & Validation, you will lead the overall product vision and director for the platforms that Wayve uses to develop, evaluate, and validate the AI Driver. This includes open and closed loop simulation platforms, the evaluation test platform, synthetic data production, critical event pipelines, validation, and the workflows that connect them.\n\nYou will directly lead and indirectly influence sub team platform leads across Simulation, Evaluation, Data, and Validation to convert a complex set of cross-cutting initiatives into a single, opinionated product strategy. The job is part developer-tools PM (your users are engineers and scientists who will tell you immediately when something is slow, wrong, or in the way), part platform PM (your roadmap has to compose across simulators, datasets, evaluation, and triage), and part safety-systems PM (the outputs gate releases that put cars on real roads).\n\nYou will help shape and set vision for how our tools and services should function and work in an AV2.0 context - a Wayve-pioneered approach to both the driving stack and offline development.\n\nKey Responsibilities\n\n - Set product vision and strategy for the platforms. Define a multi-year, multi-quarter product strategy that takes Wayve from a collection of capable tools to a unified, opinionated platform for evaluating and validating the AI Driver. Anchor the strategy in measurable customer outcomes — developer velocity, signal quality, cost per evaluation, time-to-insight, validation credibility.\n\n - Own the product roadmap end-to-end. Translate company-level priorities into a coherent roadmap across simulation, evaluation, and validation initiatives. Drive trade-offs between different internal and external customer groups. Ensure resourcing decisions are clearly communicated to other director level stakeholders.\n\n - Lead and grow the team. Manage and mentor the product managers embedded across. Hire to fill gaps, level up the craft, and build a highly capable lean team.\n\n - Build world class developer experiences. Run regular user research with Autonomy, Science, Validation, Release, and Product teams. Maintain a clear picture of what each customer segment needs from the platform, where the friction is, and which gaps are quietly bleeding velocity. \n\n - Define and defend quality bars for an internal platform. Set platform-wide standards for reliability, latency, cost per unit (per simulation, per evaluation, per enriched hour), self-service, observability, and API stability. Treat platform regressions the way a consumer team treats a churn spike.\n\n - Establish regular operational cadences. Lead monthly business reviews and close the loop on requests and progress reporting with the leadership team. Lead quarterly planning, KPI reviews, and the trade-off conversations.\n\n - Represent the platform externally. Help Wayve's leadership tell a credible story about how we develop and validate the AI Driver — to OEM partners, regulators, and at relevant industry forums.\n\n\nABOUT YOU \n\nIn order to set you up for success at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - 8+ years of product management experience, with at least 3–5 years leading PM teams (PMs and/or senior PMs reporting to you).\n\n - Track record building internal platforms, developer tools, or ML/AI evaluation infrastructure — products whose users are engineers and scientists, where the bar is set by power users with strong opinions and the ability to route around you if the tool isn't good enough.\n\n - Data driven. You always seek to answer questions with data and lean into defining the right customer facing KPIs indicative of success\n\n - Systems thinking across hardware, AI, and product. You understand how decisions in one part of the stack (data, simulator fidelity, metric design) propagate into outcomes (release confidence, on-road performance, regulator trust) elsewhere.\n\n - Insight-driven leader. A record of producing the analysis or framing that changed a \"go/no-go\" decision on a complex AI or robotics program.\n\n - Product craft. You care about workflows, latency, errors-per-hour, and how a tool feels. You apply product management best practices to measuring user experience.\n\n - AI Fluency. You not only regularly use but are a standard bearer in the application of AI tools to the job.\n\nDesirable \n\n - Prior experience in autonomous vehicles, robotics, or another safety-critical AI/ML program (L2+, L4, surgical robotics, aerospace autonomy, etc.).\n\n - Familiarity with simulation, synthetic data, evaluation harnesses, or ML observability tools at production scale.\n\n - Working knowledge of SOTIF (ISO 21448), ISO 26262, or other safety standards relevant to validating learned systems.\n\n - Experience with internal developer platforms (CI/CD, ML platforms, data platforms) at scale.\n\nThis is a full-time role based in-office. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nThe reasonably estimated salary for this role ranges from $332,000 to $415,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. \n\n#LI-HH1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"a32cc947-fa61-4b18-a385-3611355d9aef","title":"Embedded Automotive Platforms Software Engineer","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-06-12T13:29:09.214+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/a32cc947-fa61-4b18-a385-3611355d9aef","applyUrl":"https://jobs.ashbyhq.com/wayve/a32cc947-fa61-4b18-a385-3611355d9aef/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automotive embedded hardware and Wayve Driving Model. This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently.
Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform.
You will play a crucial role in advancing Wayve’s AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles.
Key responsibilities:
Design, develop, and maintain embedded software, SDKs, APIs, and hardware abstraction layers that enable autonomous driving capabilities to run consistently across automotive platforms.
Integrate and adapt critical AV functions, including inference, navigation, control, localisation, and vehicle interfaces.
Work across Linux and QNX-based systems while minimising platform-specific customisation.
Debug, troubleshoot, and improve software and system performance, ensuring reliability, scalability, and operational excellence across production and development fleets.
Collaborate with cross-functional teams, hardware vendors, and automotive partners to define requirements and ensure seamless integration with the autonomous driving stack.
Participate in architecture reviews, testing, code reviews, documentation, and automotive software quality processes to maintain high engineering standards.
In order to set you up for success as an Embedded Automotive Platforms Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries
Proficiency in C++ programming language for high-performance systems
Hands-on experience with embedded operating systems (e.g., Linux, QNX)
Strong understanding of middleware architectures and IPC mechanisms
Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues
Familiarity with hardware abstraction layers (HAL) and device driver development
Strong debugging skills and attention to detail in complex systems
Excellent communication and teamwork skills
Ability to work in a fast-paced and dynamic environment
Desirable
Prior experience developing and deploying autonomous vehicle, robotics, or other safety-critical software on production systems
Experience with NVIDIA Drive Orin, Qualcomm automotive platforms, or similar embedded computing platforms
Experience with inference, localisation, control algorithms, navigation, odometry or vehicle interfaces will be a huge plus
Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras)
Experience developing platform SDKs, APIs, or software frameworks used by internal teams or external partners
Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)
This is a full-time role based in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automotive embedded hardware and Wayve Driving Model. This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently.\n\nYour role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform.\n\nYou will play a crucial role in advancing Wayve’s AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles.\n\nKey responsibilities:\n\n - Design, develop, and maintain embedded software, SDKs, APIs, and hardware abstraction layers that enable autonomous driving capabilities to run consistently across automotive platforms.\n\n - Integrate and adapt critical AV functions, including inference, navigation, control, localisation, and vehicle interfaces.\n\n - Work across Linux and QNX-based systems while minimising platform-specific customisation.\n\n - Debug, troubleshoot, and improve software and system performance, ensuring reliability, scalability, and operational excellence across production and development fleets.\n\n - Collaborate with cross-functional teams, hardware vendors, and automotive partners to define requirements and ensure seamless integration with the autonomous driving stack.\n\n - Participate in architecture reviews, testing, code reviews, documentation, and automotive software quality processes to maintain high engineering standards.\n\n\nABOUT YOU\n\nIn order to set you up for success as an Embedded Automotive Platforms Software Engineer at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field\n\n - Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries\n\n - Proficiency in C++ programming language for high-performance systems\n\n - Hands-on experience with embedded operating systems (e.g., Linux, QNX)\n\n - Strong understanding of middleware architectures and IPC mechanisms\n\n - Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues\n\n - Familiarity with hardware abstraction layers (HAL) and device driver development\n\n - Strong debugging skills and attention to detail in complex systems\n\n - Excellent communication and teamwork skills\n\n - Ability to work in a fast-paced and dynamic environment\n\nDesirable\n\n - Prior experience developing and deploying autonomous vehicle, robotics, or other safety-critical software on production systems\n\n - Experience with NVIDIA Drive Orin, Qualcomm automotive platforms, or similar embedded computing platforms\n\n - Experience with inference, localisation, control algorithms, navigation, odometry or vehicle interfaces will be a huge plus\n\n - Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras)\n\n - Experience developing platform SDKs, APIs, or software frameworks used by internal teams or external partners\n\n - Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)\n\n\n \n\nThis is a full-time role based in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"8bf49e6a-bafc-4905-a71a-a582d4b289c4","title":"Principal Engineer, Model Development Platform","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-06-19T09:47:28.153+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/8bf49e6a-bafc-4905-a71a-a582d4b289c4","applyUrl":"https://jobs.ashbyhq.com/wayve/8bf49e6a-bafc-4905-a71a-a582d4b289c4/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Principal Engineer for the Model Development Platform, you'll own the end-to-end architecture behind Wayve's AI model lifecycle, from data ingestion and training to experiment scheduling and on-road testing. Working at the intersection of AI research, large-scale distributed systems, and robotic operations, you'll keep the platform reliable, scalable, and coherent so our researchers and engineers can iterate fast and deploy autonomous driving models safely.
Partnering with the Head of Model Dev Platform, you'll set and execute the technical vision, aligning infrastructure and tooling with company goals. You'll lead by example, going deep across web applications, distributed compute, ML Ops, data pipelines, and optimization algorithms, and through architecture and mentorship you'll enable teams to build platform capabilities that measurably accelerate model development and fleet learning.
What you'll own
System architecture & reliability - Design and evolve the platform's overall architecture for reliability, observability, and scalability. Set performance, latency, and availability targets, and drive the engineering standards to meet them.
Cross-domain technical leadership - Unify the platform across disciplines, from front-end UIs and distributed training to Spark data pipelines and optimization-based experiment scheduling, ensuring systems interoperate cleanly.
Hands-on problem solving - Dive into the hardest challenges across subteams, lead architectural reviews, and propose pragmatic solutions that balance innovation with operational simplicity.
Experimentation & scheduling systems - Build systems that optimize how models are tested in simulation and on-road, using techniques like linear programming and heuristic optimization to balance hardware, safety, and research priorities while improving throughput and turnaround.
Data & compute infrastructure - Architect pipelines that ingest, transform, and enrich petabytes of fleet sensor data, and drive efficient compute use across GPU, CPU, cloud, and edge for both prototyping and large-scale training.
Strategic collaboration - Partner with Product, Research, and Operations to align architecture with user needs and co-own the platform's long-term roadmap.
Essential
Technical Leadership at Scale – 10+ years of experience designing and building large-scale distributed systems, ML/AI infrastructure, full stack web application, or developer platforms, including at least 3 years as a staff or principal-level engineer.
Architectural Depth & Breadth – Proven ability to design systems spanning web platforms, ML pipelines, and large-scale compute orchestration (e.g., Spark, Ray, Kubernetes, Airflow, MLflow).
Reliability and performance – Experience driving platform reliability improvements, defining SLAs/SLOs, and building self-healing and observable systems that operate at “four nines” availability or better.
Hands-On Systems Design – Deep understanding of distributed computing, workflow orchestration, data modeling, and API design, with the ability to write and review production-quality code.
Collaborative Influence – Excellent communication and cross-functional collaboration skills; ability to guide engineers, managers, and researchers toward unified technical direction.
Mentorship & Culture – Demonstrated success in mentoring engineers across levels and cultivating a culture of engineering excellence.
Desirable
Optimization & Scheduling Expertise – Experience applying algorithmic or mathematical optimization (e.g., linear programming, graph algorithms) to operational or scheduling problems.
ML Ops & Experimentation Systems – Familiarity with end-to-end model lifecycle tooling, from data ingestion and training CI to model artifact tracking and evaluation workflows.
Domain Experience – Prior exposure to autonomous systems, robotics, or other safety-critical domains.
Full-Stack Fluency – Experience with modern web frameworks (e.g., React, Flask, FastAPI) and how they integrate into backend systems.
Data Governance – Understanding of data privacy, compliance, and secure handling practices for large-scale sensor data.
#LI-HH1
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $295,500 to $335,300, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nAs Principal Engineer for the Model Development Platform, you'll own the end-to-end architecture behind Wayve's AI model lifecycle, from data ingestion and training to experiment scheduling and on-road testing. Working at the intersection of AI research, large-scale distributed systems, and robotic operations, you'll keep the platform reliable, scalable, and coherent so our researchers and engineers can iterate fast and deploy autonomous driving models safely.\n\nPartnering with the Head of Model Dev Platform, you'll set and execute the technical vision, aligning infrastructure and tooling with company goals. You'll lead by example, going deep across web applications, distributed compute, ML Ops, data pipelines, and optimization algorithms, and through architecture and mentorship you'll enable teams to build platform capabilities that measurably accelerate model development and fleet learning.\n\nWhat you'll own\n\n - System architecture & reliability - Design and evolve the platform's overall architecture for reliability, observability, and scalability. Set performance, latency, and availability targets, and drive the engineering standards to meet them.\n\n - Cross-domain technical leadership - Unify the platform across disciplines, from front-end UIs and distributed training to Spark data pipelines and optimization-based experiment scheduling, ensuring systems interoperate cleanly.\n\n - Hands-on problem solving - Dive into the hardest challenges across subteams, lead architectural reviews, and propose pragmatic solutions that balance innovation with operational simplicity.\n\n - Experimentation & scheduling systems - Build systems that optimize how models are tested in simulation and on-road, using techniques like linear programming and heuristic optimization to balance hardware, safety, and research priorities while improving throughput and turnaround.\n\n - Data & compute infrastructure - Architect pipelines that ingest, transform, and enrich petabytes of fleet sensor data, and drive efficient compute use across GPU, CPU, cloud, and edge for both prototyping and large-scale training.\n\n - Strategic collaboration - Partner with Product, Research, and Operations to align architecture with user needs and co-own the platform's long-term roadmap.\n\n\nABOUT YOU\n\nEssential\n\n - Technical Leadership at Scale – 10+ years of experience designing and building large-scale distributed systems, ML/AI infrastructure, full stack web application, or developer platforms, including at least 3 years as a staff or principal-level engineer.\n\n - Architectural Depth & Breadth – Proven ability to design systems spanning web platforms, ML pipelines, and large-scale compute orchestration (e.g., Spark, Ray, Kubernetes, Airflow, MLflow).\n\n - Reliability and performance – Experience driving platform reliability improvements, defining SLAs/SLOs, and building self-healing and observable systems that operate at “four nines” availability or better.\n\n - Hands-On Systems Design – Deep understanding of distributed computing, workflow orchestration, data modeling, and API design, with the ability to write and review production-quality code.\n\n - Collaborative Influence – Excellent communication and cross-functional collaboration skills; ability to guide engineers, managers, and researchers toward unified technical direction.\n\n - Mentorship & Culture – Demonstrated success in mentoring engineers across levels and cultivating a culture of engineering excellence.\n\nDesirable\n\n - Optimization & Scheduling Expertise – Experience applying algorithmic or mathematical optimization (e.g., linear programming, graph algorithms) to operational or scheduling problems.\n\n - ML Ops & Experimentation Systems – Familiarity with end-to-end model lifecycle tooling, from data ingestion and training CI to model artifact tracking and evaluation workflows.\n\n - Domain Experience – Prior exposure to autonomous systems, robotics, or other safety-critical domains.\n\n - Full-Stack Fluency – Experience with modern web frameworks (e.g., React, Flask, FastAPI) and how they integrate into backend systems.\n\n - Data Governance – Understanding of data privacy, compliance, and secure handling practices for large-scale sensor data.\n\n#LI-HH1\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $295,500 to $335,300, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"78a0ce61-7ff2-4916-ad3d-f8674f2b626a","title":"Staff ML Performance Engineer (Inference Optimisation)","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-05-14T10:20:07.451+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/78a0ce61-7ff2-4916-ad3d-f8674f2b626a","applyUrl":"https://jobs.ashbyhq.com/wayve/78a0ce61-7ff2-4916-ad3d-f8674f2b626a/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Staff ML Performance Engineer, you’ll play a key role in high-impact projects, optimising ML inference for edge accelerators and GPUs. The focus of this team is to run large transformer-based models efficiently on low-cost, low-power edge devices to enable Wayve’s first driving product.
You’ll help set the technical direction for turning these models into production systems that run reliably on in-vehicle compute. This is a hands-on role working across ML systems, compilers, runtimes, kernels, and embedded deployment, contributing to several early-stage, high-impact projects at Wayve.
Key responsibilities:
Profile and pinpoint bottlenecks across the full inference stack (model graph, compiler/runtime, kernel execution, memory movement) and deliver measurable improvements.
Implement and validate optimisations in compilers, runtimes, and/or kernels (e.g. operator fusion, scheduling, quantisation-aware performance, custom kernels).
Build robust benchmarking and regression testing to ensure performance improvements hold across models, devices, and software releases.
Optimise for multiple targets (e.g. NVIDIA Orin/Thor, Qualcomm) and work with teams to support these in a maintainable way
Collaborate with model developers to influence architecture and training/deployment decisions that affect on-device performance.
Contribute to technical roadmaps and tooling and help raise the standard of performance engineering across the team
Essential
Proven experience improving performance in production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost).
Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly.
Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime execution.
Strong software engineering fundamentals (debugging, profiling, testing, and maintainable code).
Clear communicator and collaborative teammate; able to align multiple stakeholders on performance trade-offs and priorities.
Desirable
Exposure to embedded or edge deployment of ML models, including benchmarking on real devices and handling system-level constraints.
Experience with NVIDIA and/or Qualcomm SoCs and performance tooling.
Python and C++ proficiency.
Experience mentoring others and/or driving technical direction in a small, fast-moving team.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
#LI-HH1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Staff ML Performance Engineer, you’ll play a key role in high-impact projects, optimising ML inference for edge accelerators and GPUs. The focus of this team is to run large transformer-based models efficiently on low-cost, low-power edge devices to enable Wayve’s first driving product.\n\nYou’ll help set the technical direction for turning these models into production systems that run reliably on in-vehicle compute. This is a hands-on role working across ML systems, compilers, runtimes, kernels, and embedded deployment, contributing to several early-stage, high-impact projects at Wayve.\n\nKey responsibilities:\n\n - Profile and pinpoint bottlenecks across the full inference stack (model graph, compiler/runtime, kernel execution, memory movement) and deliver measurable improvements.\n\n - Implement and validate optimisations in compilers, runtimes, and/or kernels (e.g. operator fusion, scheduling, quantisation-aware performance, custom kernels).\n\n - Build robust benchmarking and regression testing to ensure performance improvements hold across models, devices, and software releases.\n\n - Optimise for multiple targets (e.g. NVIDIA Orin/Thor, Qualcomm) and work with teams to support these in a maintainable way\n\n - Collaborate with model developers to influence architecture and training/deployment decisions that affect on-device performance.\n\n - Contribute to technical roadmaps and tooling and help raise the standard of performance engineering across the team\n\n\nABOUT YOU\n\nEssential\n\n - Proven experience improving performance in production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost).\n\n - Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly.\n\n - Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime execution.\n\n - Strong software engineering fundamentals (debugging, profiling, testing, and maintainable code).\n\n - Clear communicator and collaborative teammate; able to align multiple stakeholders on performance trade-offs and priorities.\n\nDesirable\n\n - Exposure to embedded or edge deployment of ML models, including benchmarking on real devices and handling system-level constraints.\n\n - Experience with NVIDIA and/or Qualcomm SoCs and performance tooling.\n\n - Python and C++ proficiency.\n\n - Experience mentoring others and/or driving technical direction in a small, fast-moving team.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\n#LI-HH1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"ccb1eef5-7e67-471c-a3a7-ff9c4265738a","title":"Trainer","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-06-22T18:52:06.681+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/ccb1eef5-7e67-471c-a3a7-ff9c4265738a","applyUrl":"https://jobs.ashbyhq.com/wayve/ccb1eef5-7e67-471c-a3a7-ff9c4265738a/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
If you're passionate about quality and continuous improvement, this role offers the opportunity to ensure the effectiveness of training programs, materials and delivery methods, while working closely with teams to uphold operating standards and support professional development.
Key responsibilities:
Monitor and evaluate the effectiveness of training programs and make recommendations for improvements.
Maintain training records and ensure compliance with company policies and legal requirements.
Conduct regular assessments of operating standards across teams and individuals to ensure they meet quality standards and objectives.
Develop and maintain training materials, including manuals, presentations, and online resources.
Collaborate with subject matter experts to identify areas for improvement in training content, delivery and operating standards.
Monitor and analyse training metrics to identify trends and opportunities for improvement.
Develop and oversee the implementation of quality assurance processes for training programs and operating standards.
In conjunction with Team Leads, assist with staff professional development and course completion.
Interact with cross-functional stakeholders to understand training requirements for future business needs e.g. growth of commercial operations.
In order to set you up for success as a Trainer at Wayve, we’re looking for the following skills and experience.
Essentials:
Full clean JP driving licence.
At least 8 years' driving experience - mainly in Japan.
No blameworthy insurance claims in the past three years.
You remain calm and controlled in a pressured environment.
You take on board feedback and learn from your mistakes, employing a growth mindset to the way you develop yourself.
You enjoy working with people, thriving in a team environment.
You know how to manage your wellbeing including fatigue, stress and have personal, proven strategies to do this
Proven experience as a team coordinator or similar role.
Strong leadership and communication skills in a 1:1 capacity, downwards to your team, and upwards and laterally with your other stakeholders
Ability to work under pressure and manage multiple priorities.
Excellent problem-solving skills and attention to detail.
Proficiency in Google Workspace or Microsoft Office suite.
Excellent written and verbal communication skills.
Strong attention to detail and problem-solving skills.
Excellent time management and organisational skills.
Fluent in Japanese and English.
A recognised Assessor qualification.
A qualified Vehicle Safety Operator with a current qualification.
A recognised Quality Assurance qualification.
Available to work full-time on-site based out of our Tokyo office, 5 days a week.
All applications are required to disclose any second job as part of the application process.
All applications will be subject to a health check before/after.
Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy. You will be tested for drugs and alcohol during your onsite interview.
#LI-KM2
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nIf you're passionate about quality and continuous improvement, this role offers the opportunity to ensure the effectiveness of training programs, materials and delivery methods, while working closely with teams to uphold operating standards and support professional development.\n\nKey responsibilities:\n\n - Monitor and evaluate the effectiveness of training programs and make recommendations for improvements.\n\n - Maintain training records and ensure compliance with company policies and legal requirements.\n\n - Conduct regular assessments of operating standards across teams and individuals to ensure they meet quality standards and objectives.\n\n - Develop and maintain training materials, including manuals, presentations, and online resources.\n\n - Collaborate with subject matter experts to identify areas for improvement in training content, delivery and operating standards.\n\n - Monitor and analyse training metrics to identify trends and opportunities for improvement.\n\n - Develop and oversee the implementation of quality assurance processes for training programs and operating standards.\n\n - In conjunction with Team Leads, assist with staff professional development and course completion.\n\n - Interact with cross-functional stakeholders to understand training requirements for future business needs e.g. growth of commercial operations.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Trainer at Wayve, we’re looking for the following skills and experience.\n\nEssentials:\n\n - Full clean JP driving licence.\n\n - At least 8 years' driving experience - mainly in Japan.\n\n - No blameworthy insurance claims in the past three years.\n\n - You remain calm and controlled in a pressured environment.\n\n - You take on board feedback and learn from your mistakes, employing a growth mindset to the way you develop yourself.\n\n - You enjoy working with people, thriving in a team environment.\n\n - You know how to manage your wellbeing including fatigue, stress and have personal, proven strategies to do this\n\n - Proven experience as a team coordinator or similar role.\n\n - Strong leadership and communication skills in a 1:1 capacity, downwards to your team, and upwards and laterally with your other stakeholders\n\n - Ability to work under pressure and manage multiple priorities.\n\n - Excellent problem-solving skills and attention to detail.\n\n - Proficiency in Google Workspace or Microsoft Office suite.\n\n - Excellent written and verbal communication skills.\n\n - Strong attention to detail and problem-solving skills.\n\n - Excellent time management and organisational skills.\n\n - Fluent in Japanese and English.\n\n\nDESIRABLE:\n\n - A recognised Assessor qualification.\n\n - A qualified Vehicle Safety Operator with a current qualification.\n\n - A recognised Quality Assurance qualification.\n\n\nADDITIONAL REQUIREMENTS:\n\n - Available to work full-time on-site based out of our Tokyo office, 5 days a week.\n\n - All applications are required to disclose any second job as part of the application process.\n\n - All applications will be subject to a health check before/after.\n\n - Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy. You will be tested for drugs and alcohol during your onsite interview.\n\n#LI-KM2\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"ee0c3855-1f96-465b-9684-e77a527698aa","title":"Principal Engineer, Data & Compute","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-06-23T14:45:18.545+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/ee0c3855-1f96-465b-9684-e77a527698aa","applyUrl":"https://jobs.ashbyhq.com/wayve/ee0c3855-1f96-465b-9684-e77a527698aa/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
At Wayve, we are teaching machines to drive—not by coding rules, but by training end-to-end neural networks that learn from vast streams of real-world data. Achieving this requires unprecedented scale in both data infrastructure and compute orchestration. Our workloads span thousands of GPUs, petabytes of driving data, and geographically distributed training and inference clusters.
As Architect for AI Infrastructure, you will design and guide the evolution of the foundational compute and storage systems that fuel our model development lifecycle. Your leadership will directly accelerate AI research, enable rapid model deployment, and ensure our platform meets the demands of a company pushing the boundaries of autonomy.
You’ll sit at the strategic core of AI, systems, and cloud infrastructure—owning challenges that few companies have the ambition or scale to tackle.
Global Compute Strategy – Define and evolve the architecture for how Wayve allocates and orchestrates training and inference workloads across thousands of GPUs and multiple data centers, ensuring optimal throughput, resiliency, and cost efficiency.
Petabyte-Scale Data Federation – Design systems that enable fast, reliable access to high-volume sensor and simulation data across geographies, ensuring the right data is always available for training, evaluation, and inference. Furthermore, preparing Wayve for being an exabyte-scale company.
Cross-Region GPU Job Execution – Build the foundations that enable large-scale AI workloads to run seamlessly across hybrid and multi-cloud environments.
Cloud Infrastructure Advisory – Act as a trusted partner to leadership in aligning compute investments and architecture with company strategy, growth plans, and performance goals.
Technical Leadership & Mentorship – Uplift the broader engineering org through architectural coaching, technical deep dives, and by cultivating a culture of operational and engineering excellence.
In order to set you up for success at Wayve, we’re looking for the following skills and experience.
Essential
10+ years designing and building large-scale distributed systems, with at least 4 years focused on GPU-based cloud infrastructure.
Proven experience enabling large-scale AI training, inference, or computer vision workloads in GPU clusters.
Deep understanding of petabyte-scale data architecture, including storage federation, high-throughput access, and data locality for AI workloads.
Strong technical leadership with a track record of defining and communicating architectural strategy, balancing long-term vision with delivery needs.
A natural mentor with a history of developing engineers and influencing technical direction across teams.
Advanced degree in Computer Science, Electrical Engineering, or a related field—or equivalent industry experience.
Desirable
Experience with multi-cloud orchestration, particularly in latency- or cost-sensitive training and inference pipelines.
Familiarity with systems like Ray, Kubernetes, Airflow, or Flyte, and deep fluency in AI/ML job scheduling, model lifecycle management, and infrastructure-as-code practices.
Background in supporting safety-critical or real-time inference use cases (e.g., robotics, autonomous vehicles, aerospace).
Passion for building infrastructure-as-a-product that delivers performance and simplicity to research and product teams alike.
This is a full-time role based in-office. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $370,300 to $418,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
#LI-HH1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\n - At Wayve, we are teaching machines to drive—not by coding rules, but by training end-to-end neural networks that learn from vast streams of real-world data. Achieving this requires unprecedented scale in both data infrastructure and compute orchestration. Our workloads span thousands of GPUs, petabytes of driving data, and geographically distributed training and inference clusters.\n\n - As Architect for AI Infrastructure, you will design and guide the evolution of the foundational compute and storage systems that fuel our model development lifecycle. Your leadership will directly accelerate AI research, enable rapid model deployment, and ensure our platform meets the demands of a company pushing the boundaries of autonomy.\n\n - You’ll sit at the strategic core of AI, systems, and cloud infrastructure—owning challenges that few companies have the ambition or scale to tackle.\n\n\nKEY RESPONSIBILITIES\n\n - Global Compute Strategy – Define and evolve the architecture for how Wayve allocates and orchestrates training and inference workloads across thousands of GPUs and multiple data centers, ensuring optimal throughput, resiliency, and cost efficiency.\n\n - Petabyte-Scale Data Federation – Design systems that enable fast, reliable access to high-volume sensor and simulation data across geographies, ensuring the right data is always available for training, evaluation, and inference. Furthermore, preparing Wayve for being an exabyte-scale company.\n\n - Cross-Region GPU Job Execution – Build the foundations that enable large-scale AI workloads to run seamlessly across hybrid and multi-cloud environments.\n\n - Cloud Infrastructure Advisory – Act as a trusted partner to leadership in aligning compute investments and architecture with company strategy, growth plans, and performance goals.\n\n - Technical Leadership & Mentorship – Uplift the broader engineering org through architectural coaching, technical deep dives, and by cultivating a culture of operational and engineering excellence.\n\n\nABOUT YOU \n\nIn order to set you up for success at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - 10+ years designing and building large-scale distributed systems, with at least 4 years focused on GPU-based cloud infrastructure.\n\n - Proven experience enabling large-scale AI training, inference, or computer vision workloads in GPU clusters.\n\n - Deep understanding of petabyte-scale data architecture, including storage federation, high-throughput access, and data locality for AI workloads.\n\n - Strong technical leadership with a track record of defining and communicating architectural strategy, balancing long-term vision with delivery needs.\n\n - A natural mentor with a history of developing engineers and influencing technical direction across teams.\n\n - Advanced degree in Computer Science, Electrical Engineering, or a related field—or equivalent industry experience.\n\nDesirable \n\n - Experience with multi-cloud orchestration, particularly in latency- or cost-sensitive training and inference pipelines.\n\n - Familiarity with systems like Ray, Kubernetes, Airflow, or Flyte, and deep fluency in AI/ML job scheduling, model lifecycle management, and infrastructure-as-code practices.\n\n - Background in supporting safety-critical or real-time inference use cases (e.g., robotics, autonomous vehicles, aerospace).\n\n - Passion for building infrastructure-as-a-product that delivers performance and simplicity to research and product teams alike.\n\nThis is a full-time role based in-office. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $370,300 to $418,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\n#LI-HH1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"5b579150-da4e-4885-80a1-b8b9008f4aad","title":"Engineering Technician","department":"Hardware & Supply Chain","team":"Hardware & Supply Chain","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-06-23T19:44:11.979+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/5b579150-da4e-4885-80a1-b8b9008f4aad","applyUrl":"https://jobs.ashbyhq.com/wayve/5b579150-da4e-4885-80a1-b8b9008f4aad/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Build, test, and maintain vehicles and Hardware-in-the-Loop (HIL) setups with high-performance compute and sensor systems.
Diagnose, repair, and rework hardware system failures on compute systems, embedded modules, wiring harnesses, sensors, and other hardware components.
Collaborate with hardware and software engineering teams to execute one-off tests of hardware configurations and assist in troubleshooting issues.
Maintain and manage workshop equipment, tools, and inventory, ensuring an organized and efficient workspace.
Support prototype assembly and modifications, contributing to the continuous improvement of engineering designs.
Document workshop procedures, test results, and system configurations to ensure reproducibility and consistency in testing.
Support initial bring-up and commissioning of vehicles and contribute to overall system integration improvements
Stay up to date with emerging technologies and best practices in hardware systems and contribute innovative solutions to workshop challenges. E.g 3D printing, Jira, AI tools
In order to set you up for success as a Workshop Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Your tenacity to get the job done is off the charts. You get stuck in and when you see a problem you don’t stop until it’s done.
Understanding the second and third order effects of decisions
Actively built wiring harnesses, with an ability to read a wiring diagram
Experience building complex systems in a fast-paced production environment.
Strong organizational skills and ability to manage multiple tasks in a dynamic environment.
Excellent troubleshooting and problem-solving abilities.
Ability to work collaboratively with engineering teams and provide technical support when needed.
Passion for learning, growing, and improving technical expertise in the autonomy field.
Desirable
Hands-on experience building and maintaining autonomous vehicle hardware systems including vehicles, compute platforms, sensors (LiDAR, radar, cameras), and wiring harnesses.
Prior experience flashing and commissioning systems
Experience with change management and version control systems
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\n - Build, test, and maintain vehicles and Hardware-in-the-Loop (HIL) setups with high-performance compute and sensor systems.\n\n - Diagnose, repair, and rework hardware system failures on compute systems, embedded modules, wiring harnesses, sensors, and other hardware components.\n\n - Collaborate with hardware and software engineering teams to execute one-off tests of hardware configurations and assist in troubleshooting issues.\n\n - Maintain and manage workshop equipment, tools, and inventory, ensuring an organized and efficient workspace.\n\n - Support prototype assembly and modifications, contributing to the continuous improvement of engineering designs.\n\n - Document workshop procedures, test results, and system configurations to ensure reproducibility and consistency in testing.\n\n - Support initial bring-up and commissioning of vehicles and contribute to overall system integration improvements\n\n - Stay up to date with emerging technologies and best practices in hardware systems and contribute innovative solutions to workshop challenges. E.g 3D printing, Jira, AI tools\n\n\nABOUT YOU \n\nIn order to set you up for success as a Workshop Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Your tenacity to get the job done is off the charts. You get stuck in and when you see a problem you don’t stop until it’s done.\n\n - Understanding the second and third order effects of decisions\n\n - Actively built wiring harnesses, with an ability to read a wiring diagram\n\n - Experience building complex systems in a fast-paced production environment.\n\n - Strong organizational skills and ability to manage multiple tasks in a dynamic environment.\n\n - Excellent troubleshooting and problem-solving abilities.\n\n - Ability to work collaboratively with engineering teams and provide technical support when needed.\n\n - Passion for learning, growing, and improving technical expertise in the autonomy field.\n\nDesirable \n\n - Hands-on experience building and maintaining autonomous vehicle hardware systems including vehicles, compute platforms, sensors (LiDAR, radar, cameras), and wiring harnesses.\n\n - Prior experience flashing and commissioning systems\n\n - Experience with change management and version control systems\n\n \n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"fc020e5b-a7c5-4ada-be3a-dc13a4a3036b","title":"Product Manager, AI Driver","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-08-14T16:23:00.587+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/fc020e5b-a7c5-4ada-be3a-dc13a4a3036b","applyUrl":"https://jobs.ashbyhq.com/wayve/fc020e5b-a7c5-4ada-be3a-dc13a4a3036b/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Product Manager, AI Driver, based in our Germany office (London also considered), you will independently own a critical work package within Wayve's AI Driver product and lead a cross-functional team to deliver it end-to-end. You'll set the technical direction, drive priorities across engineering, AI research and program management. You will rally the team around clear, ambitious goals. This is a high-ownership, high-impact role for someone who pairs deep AI technical depth with the interpersonal skills to listen, motivate and align brilliant teams toward shared outcomes.
Key responsibilities:
Independently own a substantial work package end-to-end. Define the problem, set the strategy, sequence the work, and lead the team to ship outcomes that move the AI Driver product forward.
Lead a cross-functional team of engineers, researchers and PMs without formal authority. Give them clarity, remove blockers, and motivate them through hard, ambiguous problems.
Engage deeply with technical detail across AI / ML, autonomy and embodied AI. Debate trade-offs credibly with senior researchers and engineers, and bring structured thinking to complex technical decisions.
Translate R&D progress and customer needs into a clear product roadmap, sequencing capabilities to maximise impact and de-risk delivery.
Communicate crisply across audiences, from deep technical reviews with engineers, to executive updates with leadership, to customer-facing conversations.
Listen actively to engineers, partners and customers, and turn what you hear into better decisions and stronger team alignment.
Set, track and report on clear KPIs and milestones, and establish the operating rhythm the team needs to deliver.
In order to set you up for success as a Product Manager at Wayve, we’re looking for the following skills and experience.
Essential
Demonstrated ability to independently own a substantial work package and lead a cross-functional team to deliver it. You take outcomes personally and don't wait to be unblocked.
Strong technical depth, ideally in AI / ML, autonomy, robotics or another deep-tech domain, with the credibility to engage senior engineers and researchers as a peer.
Excellent communication and interpersonal skills. A careful listener, a clear writer, and someone who can motivate and energise a team through ambiguity.
Proven track record in product management, technical program management or a similar role on complex, cutting-edge technical products.
High autonomy, strong judgment and a bias for action. Comfortable making decisions with imperfect information and adjusting as you learn.
Desirable
Domain experience in autonomous driving, ADAS, automotive or other safety-critical product areas.
Hands-on background in AI / ML, for example research, applied ML, or shipping ML-powered products.
Background working across global teams (UK / EU ↔ US and Japan) in a startup or scale-up environment.
This is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs Product Manager, AI Driver, based in our Germany office (London also considered), you will independently own a critical work package within Wayve's AI Driver product and lead a cross-functional team to deliver it end-to-end. You'll set the technical direction, drive priorities across engineering, AI research and program management. You will rally the team around clear, ambitious goals. This is a high-ownership, high-impact role for someone who pairs deep AI technical depth with the interpersonal skills to listen, motivate and align brilliant teams toward shared outcomes.\n\nKey responsibilities:\n\n - Independently own a substantial work package end-to-end. Define the problem, set the strategy, sequence the work, and lead the team to ship outcomes that move the AI Driver product forward.\n\n - Lead a cross-functional team of engineers, researchers and PMs without formal authority. Give them clarity, remove blockers, and motivate them through hard, ambiguous problems.\n\n - Engage deeply with technical detail across AI / ML, autonomy and embodied AI. Debate trade-offs credibly with senior researchers and engineers, and bring structured thinking to complex technical decisions.\n\n - Translate R&D progress and customer needs into a clear product roadmap, sequencing capabilities to maximise impact and de-risk delivery.\n\n - Communicate crisply across audiences, from deep technical reviews with engineers, to executive updates with leadership, to customer-facing conversations.\n\n - Listen actively to engineers, partners and customers, and turn what you hear into better decisions and stronger team alignment.\n\n - Set, track and report on clear KPIs and milestones, and establish the operating rhythm the team needs to deliver.\n\n \n\n\nABOUT YOU \n\nIn order to set you up for success as a Product Manager at Wayve, we’re looking for the following skills and experience. \n\n \n\nEssential \n\n - Demonstrated ability to independently own a substantial work package and lead a cross-functional team to deliver it. You take outcomes personally and don't wait to be unblocked.\n\n - Strong technical depth, ideally in AI / ML, autonomy, robotics or another deep-tech domain, with the credibility to engage senior engineers and researchers as a peer.\n\n - Excellent communication and interpersonal skills. A careful listener, a clear writer, and someone who can motivate and energise a team through ambiguity.\n\n - Proven track record in product management, technical program management or a similar role on complex, cutting-edge technical products.\n\n - High autonomy, strong judgment and a bias for action. Comfortable making decisions with imperfect information and adjusting as you learn.\n\n\n\n\n\nDesirable \n\n - Domain experience in autonomous driving, ADAS, automotive or other safety-critical product areas. \n\n - Hands-on background in AI / ML, for example research, applied ML, or shipping ML-powered products.\n\n - Background working across global teams (UK / EU ↔ US and Japan) in a startup or scale-up environment.\n\n \n\nThis is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"1f0b9aa9-10fc-4a4b-927f-b3b7175132e2","title":"Staff Machine Learning Software Engineer","department":"Wayve Labs","team":"Wayve Labs","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-18T09:09:00.758+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/1f0b9aa9-10fc-4a4b-927f-b3b7175132e2","applyUrl":"https://jobs.ashbyhq.com/wayve/1f0b9aa9-10fc-4a4b-927f-b3b7175132e2/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are looking for an ML Software Engineer to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member.
MEGA is building foundation models for general-purpose robots: models that learn from large-scale video, language, and robot-interaction data, then generalize across tasks and embodiments—including mobile manipulators, dual-arm platforms, and humanoids. Our aim is to build agents that can perceive, reason about, and act reliably in the physical world.
You will design and build the software systems that enable MEGA's machine learning research. This includes scalable ML pipelines, data and training infrastructure, and the shared tools and abstractions that allow researchers to move quickly from an idea to a reliable experiment.
The role sits close to the models and data. You will work with large-scale video and robotics datasets, modern ML frameworks, and increasingly large models, building systems that remain reliable and maintainable as the research program grows. A major part of the role will be designing and maintaining robust workflows and reusable infrastructure that can support multiple ML projects. This emphasis on infrastructure, software systems, repo health, testing and maintainability is central to the role.
You will be a core member of the MEGA team, owning key parts of the software and ML infrastructure that underpin the research program. You will work directly on the systems used to build, train, evaluate, and scale our models, and help shape how the team develops and operates its ML stack as the program grows.
Design, build, and maintain scalable ML pipelines for data ingestion, model training, evaluation, and related research workflows.
Build software systems that allow ML workloads to scale to larger datasets, larger models, and more experiments.
Develop clean and reusable interfaces between data, models, training, evaluation, and downstream robotics workflows.
Own and improve the health of the MEGA codebase, including software architecture, testing, reliability, maintainability, and engineering standards.
Identify and resolve performance, reliability, and usability bottlenecks across ML workflows.
Build and maintain infrastructure that supports multiple researchers and ML projects without unnecessarily slowing down iteration.
Work closely with researchers to understand the requirements of new models and experiments, and translate those requirements into practical software solutions.
Build and use distributed training and data-processing pipelines for large models and large multimodal datasets.
In order to set you up for success as an ML Software Engineer at Wayve, we're looking for the following skills and experience.
Strong software engineering skills and experience building high-quality, maintainable software.
Experience building and maintaining machine learning pipelines or infrastructure, such as data ingestion, training, evaluation, or experiment workflows.
Experience designing software systems and abstractions that are reliable, reusable, and able to evolve as requirements change.
Hands-on experience with modern machine learning frameworks and a good understanding of how ML training and experimentation workflows operate.
Strong debugging skills and the ability to investigate problems across complex ML systems.
Experience with software testing, code quality, and engineering practices for maintaining a healthy shared codebase.
Experience working with large datasets, large models, or other computationally demanding ML workloads.
Ability to collaborate closely with researchers and engineers and translate research requirements into practical software systems.
Experience with distributed training, multi-node systems, or large-scale data processing.
Experience supporting foundation-model training or other large-scale ML research.
Experience with multimodal models, video models, vision-language models, or related ML systems.
Experience working with robotics, embodied AI, simulation, or robot-interaction data.
Experience building infrastructure in a fast-moving applied research environment where requirements evolve rapidly.
Experience improving the performance, reliability, or developer experience of ML training and experimentation systems.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $311,000 to $419,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nABOUT THE ROLE\n\nWe are looking for an ML Software Engineer to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member.\n\nMEGA is building foundation models for general-purpose robots: models that learn from large-scale video, language, and robot-interaction data, then generalize across tasks and embodiments—including mobile manipulators, dual-arm platforms, and humanoids. Our aim is to build agents that can perceive, reason about, and act reliably in the physical world.\n\nYou will design and build the software systems that enable MEGA's machine learning research. This includes scalable ML pipelines, data and training infrastructure, and the shared tools and abstractions that allow researchers to move quickly from an idea to a reliable experiment.\n\nThe role sits close to the models and data. You will work with large-scale video and robotics datasets, modern ML frameworks, and increasingly large models, building systems that remain reliable and maintainable as the research program grows. A major part of the role will be designing and maintaining robust workflows and reusable infrastructure that can support multiple ML projects. This emphasis on infrastructure, software systems, repo health, testing and maintainability is central to the role.\n\nYou will be a core member of the MEGA team, owning key parts of the software and ML infrastructure that underpin the research program. You will work directly on the systems used to build, train, evaluate, and scale our models, and help shape how the team develops and operates its ML stack as the program grows.\n\n\n \n\n\nKEY RESPONSIBILITIES\n\n - Design, build, and maintain scalable ML pipelines for data ingestion, model training, evaluation, and related research workflows.\n\n - Build software systems that allow ML workloads to scale to larger datasets, larger models, and more experiments.\n\n - Develop clean and reusable interfaces between data, models, training, evaluation, and downstream robotics workflows.\n\n - Own and improve the health of the MEGA codebase, including software architecture, testing, reliability, maintainability, and engineering standards.\n\n - Identify and resolve performance, reliability, and usability bottlenecks across ML workflows.\n\n - Build and maintain infrastructure that supports multiple researchers and ML projects without unnecessarily slowing down iteration.\n\n - Work closely with researchers to understand the requirements of new models and experiments, and translate those requirements into practical software solutions.\n\n - Build and use distributed training and data-processing pipelines for large models and large multimodal datasets.\n\n\nABOUT YOU\n\nIn order to set you up for success as an ML Software Engineer at Wayve, we're looking for the following skills and experience.\n\n\nESSENTIAL\n\n - Strong software engineering skills and experience building high-quality, maintainable software.\n\n - Experience building and maintaining machine learning pipelines or infrastructure, such as data ingestion, training, evaluation, or experiment workflows.\n\n - Experience designing software systems and abstractions that are reliable, reusable, and able to evolve as requirements change.\n\n - Hands-on experience with modern machine learning frameworks and a good understanding of how ML training and experimentation workflows operate.\n\n - Strong debugging skills and the ability to investigate problems across complex ML systems.\n\n - Experience with software testing, code quality, and engineering practices for maintaining a healthy shared codebase.\n\n - Experience working with large datasets, large models, or other computationally demanding ML workloads.\n\n - Ability to collaborate closely with researchers and engineers and translate research requirements into practical software systems.\n\n\nDESIRABLE\n\n - Experience with distributed training, multi-node systems, or large-scale data processing.\n\n - Experience supporting foundation-model training or other large-scale ML research.\n\n - Experience with multimodal models, video models, vision-language models, or related ML systems.\n\n - Experience working with robotics, embodied AI, simulation, or robot-interaction data.\n\n - Experience building infrastructure in a fast-moving applied research environment where requirements evolve rapidly.\n\n - Experience improving the performance, reliability, or developer experience of ML training and experimentation systems.\n\n\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $311,000 to $419,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"5e8a49e6-fe9b-4fbf-b36b-f3175ed75d46","title":"Staff Machine Learning Engineer, Vision Models","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-06-30T21:48:16.177+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/5e8a49e6-fe9b-4fbf-b36b-f3175ed75d46","applyUrl":"https://jobs.ashbyhq.com/wayve/5e8a49e6-fe9b-4fbf-b36b-f3175ed75d46/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Staff Machine Learning Engineer on Wayve's Measurement team in AI Evaluation, based in our Sunnyvale office, you will build the computer vision and scene understanding models Wayve uses to measure the performance of the Wayve Driver offline. You will adapt technology from our on-vehicle models and Wayve Foundation Models into offline models that understand coverage, mine rare events, and assess driving behaviour, and you will drive their accuracy and generalisation across vehicles, markets, and conditions. Measuring your own models rigorously is part of the work. You will define ground truth and correctness criteria across a complex driving taxonomy, and turn them into automated benchmarks and evidence that our validation pipelines and safety cases can stand on.
The Measurement team builds and qualifies the scene understanding models Wayve uses to measure driving performance offline, after on-road runs and in simulation. Offline is where the interesting headroom is: more compute per frame, larger foundation models, and access to both past and future temporal context that the vehicle never has. The outputs are mission-critical, directly informing model development decisions and customer deliverables. You will work in a focused, high-impact senior team with strong ownership, access to fleet-scale camera, lidar, and simulation data, and close partners across on-vehicle modelling, evaluation, data curation, and simulation.
Key responsibilities
Develop the models - build, train, and fine-tune the scene understanding models at the centre of Wayve's offline measurement, adapting on-vehicle architectures and Wayve Foundation Models for offline use.
Drive accuracy and generalisation - improve model performance across vehicle platforms, geographies, and driving conditions; diagnose failure modes and close the loop on blind spots.
Exploit the offline environment - use the advantages the vehicle does not have: higher compute budgets, larger model capacity, bidirectional temporal context, and multi-task or joint representation learning.
Measure what you build - benchmark your models, set quality bars, and use metrics and error analysis to steer the next iteration; treat measurement as the feedback that drives the modelling.
Make the evidence credible - ensure benchmarked results are statistically defensible and fit to feed validation pipelines at scale and our broader safety cases, across the product portfolio.
Align priorities and mentor - work day-to-day with on-vehicle modelling, evaluation, data curation, and simulation teams across sites; raise the bar on engineering and modelling practice; mentor others on the team; keep sight of division and company priorities and how Measurement work enables them.
In order to set you up for success as a Staff Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.
Essential
5+ years in ML engineering, including training and shipping deep learning models in production, with pathfinding in ambiguous modelling problems from scoping through to a direction others build on.
Hands-on experience training modern computer vision models, including transformer-based and multimodal or VLM architectures for detection, segmentation, classification, or scene understanding, on camera and/or lidar sensor data.
Experience adapting or fine-tuning large pretrained or foundation models, and training shared representations across multiple tasks or objectives (multi-stage or joint training), including real trade-offs across data and losses.
Proficient in Python and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices and comfort with large-scale training.
Staff-level technical leadership: research-literate and pragmatic, setting direction, raising the bar, and leading cross-functional work without formal line management.
Able to measure your own models: comfortable defining and reading the metrics that show whether a model is genuinely improving.
Desirable
Experience in 3D scene understanding and representation learning for geometric and semantic perception, including large-scale semantic enrichment of driving scenes.
Experience with offboard or offline modelling: auto-labelling, model distillation, temporal or world models, or other ways of exploiting compute that on-vehicle systems cannot.
Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.
Experience with fleet-scale data and large-scale distributed training infrastructure.
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $370,040 to $407,330, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a Staff Machine Learning Engineer on Wayve's Measurement team in AI Evaluation, based in our Sunnyvale office, you will build the computer vision and scene understanding models Wayve uses to measure the performance of the Wayve Driver offline. You will adapt technology from our on-vehicle models and Wayve Foundation Models into offline models that understand coverage, mine rare events, and assess driving behaviour, and you will drive their accuracy and generalisation across vehicles, markets, and conditions. Measuring your own models rigorously is part of the work. You will define ground truth and correctness criteria across a complex driving taxonomy, and turn them into automated benchmarks and evidence that our validation pipelines and safety cases can stand on.\n\nThe Measurement team builds and qualifies the scene understanding models Wayve uses to measure driving performance offline, after on-road runs and in simulation. Offline is where the interesting headroom is: more compute per frame, larger foundation models, and access to both past and future temporal context that the vehicle never has. The outputs are mission-critical, directly informing model development decisions and customer deliverables. You will work in a focused, high-impact senior team with strong ownership, access to fleet-scale camera, lidar, and simulation data, and close partners across on-vehicle modelling, evaluation, data curation, and simulation.\n\nKey responsibilities\n\n - Develop the models - build, train, and fine-tune the scene understanding models at the centre of Wayve's offline measurement, adapting on-vehicle architectures and Wayve Foundation Models for offline use.\n\n - Drive accuracy and generalisation - improve model performance across vehicle platforms, geographies, and driving conditions; diagnose failure modes and close the loop on blind spots.\n\n - Exploit the offline environment - use the advantages the vehicle does not have: higher compute budgets, larger model capacity, bidirectional temporal context, and multi-task or joint representation learning.\n\n - Measure what you build - benchmark your models, set quality bars, and use metrics and error analysis to steer the next iteration; treat measurement as the feedback that drives the modelling.\n\n - Make the evidence credible - ensure benchmarked results are statistically defensible and fit to feed validation pipelines at scale and our broader safety cases, across the product portfolio.\n\n - Align priorities and mentor - work day-to-day with on-vehicle modelling, evaluation, data curation, and simulation teams across sites; raise the bar on engineering and modelling practice; mentor others on the team; keep sight of division and company priorities and how Measurement work enables them.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Staff Machine Learning Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - 5+ years in ML engineering, including training and shipping deep learning models in production, with pathfinding in ambiguous modelling problems from scoping through to a direction others build on.\n\n - Hands-on experience training modern computer vision models, including transformer-based and multimodal or VLM architectures for detection, segmentation, classification, or scene understanding, on camera and/or lidar sensor data.\n\n - Experience adapting or fine-tuning large pretrained or foundation models, and training shared representations across multiple tasks or objectives (multi-stage or joint training), including real trade-offs across data and losses.\n\n - Proficient in Python and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices and comfort with large-scale training.\n\n - Staff-level technical leadership: research-literate and pragmatic, setting direction, raising the bar, and leading cross-functional work without formal line management.\n\n - Able to measure your own models: comfortable defining and reading the metrics that show whether a model is genuinely improving.\n\nDesirable \n\n - Experience in 3D scene understanding and representation learning for geometric and semantic perception, including large-scale semantic enrichment of driving scenes.\n\n - Experience with offboard or offline modelling: auto-labelling, model distillation, temporal or world models, or other ways of exploiting compute that on-vehicle systems cannot.\n\n - Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.\n\n - Experience with fleet-scale data and large-scale distributed training infrastructure.\n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $370,040 to $407,330, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"32a2d04d-077b-40a9-b119-08be1fe1c1b2","title":"Applied Scientist / Machine Learning Engineer","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-06-30T21:48:01.859+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/32a2d04d-077b-40a9-b119-08be1fe1c1b2","applyUrl":"https://jobs.ashbyhq.com/wayve/32a2d04d-077b-40a9-b119-08be1fe1c1b2/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is building embodied AI for the physical world, starting with autonomous driving. Instead of the hand-engineered, modular stacks that defined the first era of self-driving, we pioneered AV2.0: a single, end-to-end neural network that learns to drive from raw sensor data and generalises to new cities, vehicles, and conditions. Our foundation models, the GAIA family of generative world models and the LINGO family of vision-language-action models, let vehicles perceive, reason, and act in the open world. We have driven zero-shot across hundreds of cities on three continents, and we are now scaling from proving the science to deploying it with leading automakers and mobility partners, including Nissan, Stellantis, and Uber.
The role
This role sits in the AI Platform organisation, on the data flywheel that powers every model we ship. The thesis is simple and compounding: the more intelligently we curate, enrich, and evaluate the real-world driving experience our fleet generates, the faster our foundation models improve, and the further they generalise across geographies, embodiments, and OEM platforms. As deployment scales, the bottleneck is shifting from raw model capacity to the quality and intelligence of the data engine and the rigour of how we measure progress. That is the problem you will own.
This is a dual-track role: we are hiring at either Applied Scientist or Machine Learning Engineer, at TC3 (Senior) or TC4 (Staff / Tech Lead), calibrated to your background. We are open on specialisation. There are three areas we are hiring into, and you can go deep in any one of them:
Data curation: mine world-scale fleet data for the rare, long-tail, and safety-critical moments that move the model.
Data enrichment: turn raw driving experience into high-signal training data through (semi-)automated enrichment, labeling, and data quality at scale.
Foundation model evaluation: define how we know a driving foundation model is genuinely getting better, offline and in closed loop.
Day to day, the role also spans the broader foundation-model stack, including vision-language-action and vision-language models for embodied AI, world modeling, policy learning, reinforcement learning, and reward modeling.
Key responsibilities
Mine world-scale fleet data for rare, long-tail, and safety-critical events using active learning, smart sampling, and embedding-based retrieval and dedup.
Figure out what makes a good training dataset: which data, mix, and balance actually move the model, and turn that into repeatable curation across cities, sensor rigs, and embodiments.
Build high-quality enrichments that teams across the company depend on, through (semi-)automated enrichment and labeling pipelines and data quality at scale.
Build and fine-tune large-scale pretrained models, and run smaller-scale experiments to test and derisk ideas before committing serious compute.
Help build the best embodied VLM / VLA in the world for driving (the LINGO line): push multimodal perception, reasoning, language, and action.
Design rigorous offline and closed-loop evaluation: metrics and benchmarks that correlate with real on-road behaviour and safety, with deliberate coverage of rare and safety-critical scenarios.
Use world-model-based evaluation (GAIA) to probe counterfactual “what if” scenarios safely, repeatably, and at scale.
Contribute across the wider foundation-model stack as the work demands: generative world models (GAIA), policy learning, reinforcement learning, and reward modeling.
About you
Essential
A Masters with around 6 or more years of relevant experience, or a PhD with 2 or more years, in computer science, machine learning, robotics, mathematics, or a related field (required).
Strong ML and software fundamentals, and a track record of taking ML from research into production systems that run at scale.
Hands-on strength in one or more of: data curation, foundation model training, large-scale data wrangling, and foundation-model evaluation (for example, evaluation of LLMs or similar large models).
Experience with large-scale data and/or large neural networks, and the judgment to know which experiments and which data actually matter.
Fluency in Python and a modern deep-learning framework (PyTorch or similar), and comfort working with large, messy, real-world datasets.
Desirable
Autonomous driving, robotics, or other embodied-AI domains.
Foundation models, VLMs, world models, diffusion or autoregressive generative models, or reinforcement learning and reward modeling.
Large-scale data infrastructure: embedding and vector search (e.g. turbopuffer, Milvus), distributed data processing (Ray Data, Daft, Spark), lakehouse formats (Lance, Iceberg), or annotation tooling.
Closed-loop or simulation-based evaluation, and safety-critical ML.
Publications at top ML, CV, or robotics venues (NeurIPS, ICML, ICLR, CVPR, CoRL, RSS).
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $311,850 to $370,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nWayve is building embodied AI for the physical world, starting with autonomous driving. Instead of the hand-engineered, modular stacks that defined the first era of self-driving, we pioneered AV2.0: a single, end-to-end neural network that learns to drive from raw sensor data and generalises to new cities, vehicles, and conditions. Our foundation models, the GAIA family of generative world models and the LINGO family of vision-language-action models, let vehicles perceive, reason, and act in the open world. We have driven zero-shot across hundreds of cities on three continents, and we are now scaling from proving the science to deploying it with leading automakers and mobility partners, including Nissan, Stellantis, and Uber.\n\nThe role\n\nThis role sits in the AI Platform organisation, on the data flywheel that powers every model we ship. The thesis is simple and compounding: the more intelligently we curate, enrich, and evaluate the real-world driving experience our fleet generates, the faster our foundation models improve, and the further they generalise across geographies, embodiments, and OEM platforms. As deployment scales, the bottleneck is shifting from raw model capacity to the quality and intelligence of the data engine and the rigour of how we measure progress. That is the problem you will own.\n\nThis is a dual-track role: we are hiring at either Applied Scientist or Machine Learning Engineer, at TC3 (Senior) or TC4 (Staff / Tech Lead), calibrated to your background. We are open on specialisation. There are three areas we are hiring into, and you can go deep in any one of them:\n\n - Data curation: mine world-scale fleet data for the rare, long-tail, and safety-critical moments that move the model.\n\n - Data enrichment: turn raw driving experience into high-signal training data through (semi-)automated enrichment, labeling, and data quality at scale.\n\n - Foundation model evaluation: define how we know a driving foundation model is genuinely getting better, offline and in closed loop.\n\nDay to day, the role also spans the broader foundation-model stack, including vision-language-action and vision-language models for embodied AI, world modeling, policy learning, reinforcement learning, and reward modeling.\n\nKey responsibilities\n\n - Mine world-scale fleet data for rare, long-tail, and safety-critical events using active learning, smart sampling, and embedding-based retrieval and dedup.\n\n - Figure out what makes a good training dataset: which data, mix, and balance actually move the model, and turn that into repeatable curation across cities, sensor rigs, and embodiments.\n\n - Build high-quality enrichments that teams across the company depend on, through (semi-)automated enrichment and labeling pipelines and data quality at scale.\n\n - Build and fine-tune large-scale pretrained models, and run smaller-scale experiments to test and derisk ideas before committing serious compute.\n\n - Help build the best embodied VLM / VLA in the world for driving (the LINGO line): push multimodal perception, reasoning, language, and action.\n\n - Design rigorous offline and closed-loop evaluation: metrics and benchmarks that correlate with real on-road behaviour and safety, with deliberate coverage of rare and safety-critical scenarios.\n\n - Use world-model-based evaluation (GAIA) to probe counterfactual “what if” scenarios safely, repeatably, and at scale.\n\n - Contribute across the wider foundation-model stack as the work demands: generative world models (GAIA), policy learning, reinforcement learning, and reward modeling.\n\nAbout you\n\nEssential\n\n - A Masters with around 6 or more years of relevant experience, or a PhD with 2 or more years, in computer science, machine learning, robotics, mathematics, or a related field (required).\n\n - Strong ML and software fundamentals, and a track record of taking ML from research into production systems that run at scale.\n\n - Hands-on strength in one or more of: data curation, foundation model training, large-scale data wrangling, and foundation-model evaluation (for example, evaluation of LLMs or similar large models).\n\n - Experience with large-scale data and/or large neural networks, and the judgment to know which experiments and which data actually matter.\n\n - Fluency in Python and a modern deep-learning framework (PyTorch or similar), and comfort working with large, messy, real-world datasets.\n\nDesirable\n\n - Autonomous driving, robotics, or other embodied-AI domains.\n\n - Foundation models, VLMs, world models, diffusion or autoregressive generative models, or reinforcement learning and reward modeling.\n\n - Large-scale data infrastructure: embedding and vector search (e.g. turbopuffer, Milvus), distributed data processing (Ray Data, Daft, Spark), lakehouse formats (Lance, Iceberg), or annotation tooling.\n\n - Closed-loop or simulation-based evaluation, and safety-critical ML.\n\n - Publications at top ML, CV, or robotics venues (NeurIPS, ICML, ICLR, CVPR, CoRL, RSS).\n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $311,850 to $370,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"e9c7eb60-7f8a-4e00-be0a-678961061a6d","title":"Vehicle Safety Operator","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2024-03-22T09:58:28.443+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/e9c7eb60-7f8a-4e00-be0a-678961061a6d","applyUrl":"https://jobs.ashbyhq.com/wayve/e9c7eb60-7f8a-4e00-be0a-678961061a6d/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
If you're passionate about cars and love driving, this role offers you an opportunity to shape the future of road safety. While developing new skills in artificial intelligence, you will provide real world feedback and play a vital role in the constantly developing driving field. As a Vehicle Safety Operator you will be responsible for running on road experiments and reporting back to our research and development teams.
Key responsibilities:
Be a part of our world-class, diverse operations team to test our vehicles all over the UK.
Monitor our artificial intelligence and respond to all hazards to guarantee safe testing at all times.
Evaluate our artificial intelligence during tests, and provide expert feedback to our research teams and engineers.
Provide real-world driving examples to train our artificial intelligence before you test on public roads.
Support our safety and engineer teams by maintaining our high safety standards, and reporting safety and vehicle issues.
In order to set you up for success as a Vehicle Safety Operator at Wayve, we’re looking for the following skills and experience.
Essential
Full clean UK driving licence.
At least 8 years' driving experience - mainly in the UK.
No blameworthy insurance claims in the past three years.
Strong communication skills and a clear ability to empathise with others.
Happy to work alone and equally happy working within a team.
Adaptable, flexible and passionate about solving problems with innovative solutions.
Proficient in Microsoft Office suite, or equivalent (Google Suite)
Basic Navigation: Understanding how to navigate the home screen, open and close apps, and switch between apps.
Touchscreen Gestures: Familiarity with common touchscreen gestures like tap, swipe, pinch, and zoom.
Typing and Text Editing: Using the on-screen keyboard for typing, selecting text, and using copy, paste, and other text-editing functions.
Connecting to Wi-Fi and Managing Settings: Knowing how to connect to Wi-Fi networks and manage settings like brightness, volume, and Bluetooth.
Using Basic Apps: Proficiency in using basic apps like Safari for web browsing, Mail for email, Photos for managing pictures, and Calendar for scheduling.
Troubleshooting Basic Issues: Handling common problems like app crashes, restarting the device, or resetting network settings.
All applications are required to disclose any second job as part of the application process.
All applicants will be subject to a health check before/after.
Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy. You will be tested for drugs and alcohol during your onsite interview.
Desirable
Prior experience in vehicle testing, AV environments, or technical demonstrations.
You have an advanced driving background (ADI, Emergency Response Advanced Driver, or similar driving qualifications)
You have extensive knowledge of London, and the Home Counties
Customer-facing or hospitality experience is a plus.
Shift Pattern - Set days of week permanent AM and PMs. There are 7 individual patterns for example Wednesday - Saturday PM.
Monday to Sunday - 40 hours per week/weekend (must be able to work weekends)
AM shift: 06:30-15:30
PM shift: 14:30-23:30
This role is based onsite at our office in York Way, London.
Please carefully consider your commute options to ensure that you are comfortable with the travel distance and can consistently arrive on time. For reference, our office does not have onsite parking, and if your commute is more than 1.5 hours one way, it may not be practical for this role.
If you are passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nIf you're passionate about cars and love driving, this role offers you an opportunity to shape the future of road safety. While developing new skills in artificial intelligence, you will provide real world feedback and play a vital role in the constantly developing driving field. As a Vehicle Safety Operator you will be responsible for running on road experiments and reporting back to our research and development teams. \n\nKey responsibilities:\n\n - Be a part of our world-class, diverse operations team to test our vehicles all over the UK.\n\n - Monitor our artificial intelligence and respond to all hazards to guarantee safe testing at all times.\n\n - Evaluate our artificial intelligence during tests, and provide expert feedback to our research teams and engineers.\n\n - Provide real-world driving examples to train our artificial intelligence before you test on public roads.\n\n - Support our safety and engineer teams by maintaining our high safety standards, and reporting safety and vehicle issues.\n \n \n\n\nABOUT YOU \n\nIn order to set you up for success as a Vehicle Safety Operator at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Full clean UK driving licence.\n\n - At least 8 years' driving experience - mainly in the UK.\n\n - No blameworthy insurance claims in the past three years.\n\n - Strong communication skills and a clear ability to empathise with others.\n\n - Happy to work alone and equally happy working within a team.\n\n - Adaptable, flexible and passionate about solving problems with innovative solutions.\n\n - Proficient in Microsoft Office suite, or equivalent (Google Suite)\n\n - Basic Navigation: Understanding how to navigate the home screen, open and close apps, and switch between apps.\n\n - Touchscreen Gestures: Familiarity with common touchscreen gestures like tap, swipe, pinch, and zoom.\n\n - Typing and Text Editing: Using the on-screen keyboard for typing, selecting text, and using copy, paste, and other text-editing functions.\n\n - Connecting to Wi-Fi and Managing Settings: Knowing how to connect to Wi-Fi networks and manage settings like brightness, volume, and Bluetooth.\n\n - Using Basic Apps: Proficiency in using basic apps like Safari for web browsing, Mail for email, Photos for managing pictures, and Calendar for scheduling.\n\n - Troubleshooting Basic Issues: Handling common problems like app crashes, restarting the device, or resetting network settings.\n\n - All applications are required to disclose any second job as part of the application process.\n\n - All applicants will be subject to a health check before/after. \n\n - Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy. You will be tested for drugs and alcohol during your onsite interview.\n\nDesirable \n\n - Prior experience in vehicle testing, AV environments, or technical demonstrations.\n\n - You have an advanced driving background (ADI, Emergency Response Advanced Driver, or similar driving qualifications)\n\n - You have extensive knowledge of London, and the Home Counties\n\n - Customer-facing or hospitality experience is a plus.\n\nShift Pattern - Set days of week permanent AM and PMs. There are 7 individual patterns for example Wednesday - Saturday PM. \n\nMonday to Sunday - 40 hours per week/weekend (must be able to work weekends)\n\n - AM shift: 06:30-15:30\n\n - PM shift: 14:30-23:30\n\nThis role is based onsite at our office in York Way, London.\n\n\nPlease carefully consider your commute options to ensure that you are comfortable with the travel distance and can consistently arrive on time. For reference, our office does not have onsite parking, and if your commute is more than 1.5 hours one way, it may not be practical for this role. \n\n\n\nIf you are passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.\n\n#LI-KM1\n\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"180bb655-7eb1-465a-b319-acc03543097c","title":"Senior Site Reliability Engineer, Vehicle SW","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-07-02T09:03:48.883+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/180bb655-7eb1-465a-b319-acc03543097c","applyUrl":"https://jobs.ashbyhq.com/wayve/180bb655-7eb1-465a-b319-acc03543097c/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As an SRE in Vehicle Software, you will keep Wayve’s autonomous driving fleet reliable, observable, and safe while it operates on public roads. You will work at the boundary of software, hardware, and operations, turning real-world incidents and performance bottlenecks into lasting engineering improvements. This role offers a direct line of sight from what you build to safer deployments, faster iteration, and greater fleet scale.
Key responsibilities
Own and improve the reliability, availability, and performance of vehicle software systems used across the dev fleet.
Take part in a team on-call rotation, providing out-of-hours support for live systems when required.
Build and operate monitoring, logging, alerting, and on-call tooling that enables fast detection, diagnosis, and recovery.
Drive incident response and post-incident learning, translating root causes into durable fixes and preventative controls.
Design and deliver automation for fleet operations, deployments, and repetitive workflows to reduce manual intervention.
Partner closely with Vehicle SW, operations, and platform teams to define SLOs, reliability metrics, and release readiness.
Continuously harden the production environment through capacity planning, change management, and reliability-focused reviews.
In order to set you up for success as a Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.
Essential skills
Proven experience in an SRE, production reliability, or platform operations role for complex distributed systems.
Strong Linux fundamentals and hands-on experience with CI/CD, containers (Docker), and orchestration (Kubernetes).
Proficiency in at least one systems or scripting language (Python, C++, or Rust) with a bias for automation.
Deep troubleshooting skills across networking, distributed systems, and databases, including performance and availability issues.
Experience designing observability stacks and using tools such as Datadog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio.
Clear communication skills, including incident leadership, writing postmortems, and influencing engineering priorities.
Desirable skills
Cloud platform experience (AWS, GCP, or Azure), including infrastructure-as-code and secure production operations.
Experience with real-time or safety-critical systems, hardware-in-the-loop, or embedded/robotics environments.
Familiarity with fleet operations, telemetry pipelines, and operating software on edge devices at scale.
Experience defining and running SLOs/SLIs and reliability programs across multiple teams.
This is a full-time role based in our office in Germany, Baden-Württemberg (Hybrid 3 days a week min). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs an SRE in Vehicle Software, you will keep Wayve’s autonomous driving fleet reliable, observable, and safe while it operates on public roads. You will work at the boundary of software, hardware, and operations, turning real-world incidents and performance bottlenecks into lasting engineering improvements. This role offers a direct line of sight from what you build to safer deployments, faster iteration, and greater fleet scale. \n\nKey responsibilities\n\n - Own and improve the reliability, availability, and performance of vehicle software systems used across the dev fleet.\n\n - Take part in a team on-call rotation, providing out-of-hours support for live systems when required.\n\n - Build and operate monitoring, logging, alerting, and on-call tooling that enables fast detection, diagnosis, and recovery.\n\n - Drive incident response and post-incident learning, translating root causes into durable fixes and preventative controls.\n\n - Design and deliver automation for fleet operations, deployments, and repetitive workflows to reduce manual intervention.\n\n - Partner closely with Vehicle SW, operations, and platform teams to define SLOs, reliability metrics, and release readiness.\n\n - Continuously harden the production environment through capacity planning, change management, and reliability-focused reviews.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Site Reliability Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential skills\n\n - Proven experience in an SRE, production reliability, or platform operations role for complex distributed systems.\n\n - Strong Linux fundamentals and hands-on experience with CI/CD, containers (Docker), and orchestration (Kubernetes).\n\n - Proficiency in at least one systems or scripting language (Python, C++, or Rust) with a bias for automation.\n\n - Deep troubleshooting skills across networking, distributed systems, and databases, including performance and availability issues.\n\n - Experience designing observability stacks and using tools such as Datadog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio.\n\n - Clear communication skills, including incident leadership, writing postmortems, and influencing engineering priorities.\n\nDesirable skills\n\n - Cloud platform experience (AWS, GCP, or Azure), including infrastructure-as-code and secure production operations.\n\n - Experience with real-time or safety-critical systems, hardware-in-the-loop, or embedded/robotics environments.\n\n - Familiarity with fleet operations, telemetry pipelines, and operating software on edge devices at scale.\n\n - Experience defining and running SLOs/SLIs and reliability programs across multiple teams.\n\n\nThis is a full-time role based in our office in Germany, Baden-Württemberg (Hybrid 3 days a week min). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c85ef0d7-10a9-4a18-a6f2-75462ab02811","title":"Autonomous Driving Data Specialist","department":"Product & Delivery","team":"Application Engineering Japan","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-07-07T04:43:19.736+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c85ef0d7-10a9-4a18-a6f2-75462ab02811","applyUrl":"https://jobs.ashbyhq.com/wayve/c85ef0d7-10a9-4a18-a6f2-75462ab02811/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As an Autonomous Driving Data Specialist at Wayve, you’ll play a critical role in maintaining the safety and reliability of our ADAS+ vehicle systems. You’ll be responsible for Root Cause Analysis and producing Top Issue reports across our test environments and operational domains.You will bridge the gap between Detective Engineers, Triage Engineering and Component teams, you’ll help accelerate triage outcomes and improve the efficiency and effectiveness of our development pipeline.
This role may also be known as: Triage Specialist, Data Triage Engineer, ML Triaging Engineer, ADAS Data Analysis Engineer, Root Cause Analysis Engineer etc. Titles vary between companies, but the core responsibilities are similar.
This is a highly collaborative and detail-oriented role with a direct impact on the performance and safety of Wayve’s models.
Wayve.ai’s office is located in Tokyo, Japan. The office offers convenient access to public transit and is surrounded by a vibrant community of tech innovators, with a wide selection of nearby dining and recreational options.
Key responsibilities:
Perform first-level analysis on real world run data
Partner closely with Detective Engineers to learn and discover the root cause of an issue.
Partner closely with Triage Engineers to develop automated solutions.
Support the full issue lifecycle: identification, investigation, resolution, documentation, and reporting.
Accurately add metadata to the on road interventions (i.e. Root Cause Labels, Jira Linking, Comments)
Effectively use Wayve’s proprietary tooling.
Investigate complex or ambiguous runs that require deeper analysis or resolution.
Participate in regular standups to address emerging concerns, assign priorities, and adapt to process changes.
Deliver actionable feedback on triage tooling and suggest improvements to enhance usability and speed.
Contribute to process improvement and maintain a high standard of safety, efficiency, and rigor.
Accurately validate Triage automation bots
In order to set you up for success as an Autonomous Driving Data Specialist at Wayve, we’re looking for the following skills and experience.
Essential
Previous experience in ADAS, Autonomous Vehicles or Testing
Passion for Quality and Safety-first mindset.
Ability to learn and use a variety of internal tools and software platforms.
Comfort with technical terminology related to ADAS systems and software stacks.
Strong communication skills across cross-functional and time-zone-distributed teams.
Analytical thinking, logical reasoning, and bias-free problem-solving.
Detail-oriented approach with a focus on accuracy, even over extended sessions.
Strong debugging, documentation, and investigation skills.
Ability to work independently and as part of a collaborative team.
Desirable
Experience with issue tracking and configuration management (e.g., Jira, Confluence, Bitbucket).
Familiarity with software development concepts: source control, requirements analysis, build pipelines.
Exposure to software release workflows and release testing practices.
Basic experience with scripting (e.g., Bash, Python).
SQL/data analysis proficiency for deeper log review and trend analysis.
Experience with AV testing or robotics systems.
This is a full-time role based in our office in Tokyo, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. LI-LA1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs an Autonomous Driving Data Specialist at Wayve, you’ll play a critical role in maintaining the safety and reliability of our ADAS+ vehicle systems. You’ll be responsible for Root Cause Analysis and producing Top Issue reports across our test environments and operational domains.You will bridge the gap between Detective Engineers, Triage Engineering and Component teams, you’ll help accelerate triage outcomes and improve the efficiency and effectiveness of our development pipeline.\n\nThis role may also be known as: Triage Specialist, Data Triage Engineer, ML Triaging Engineer, ADAS Data Analysis Engineer, Root Cause Analysis Engineer etc. Titles vary between companies, but the core responsibilities are similar.\n\nThis is a highly collaborative and detail-oriented role with a direct impact on the performance and safety of Wayve’s models.\n\nWayve.ai’s office is located in Tokyo, Japan. The office offers convenient access to public transit and is surrounded by a vibrant community of tech innovators, with a wide selection of nearby dining and recreational options.\n\nKey responsibilities:\n\n - Perform first-level analysis on real world run data\n\n - Partner closely with Detective Engineers to learn and discover the root cause of an issue.\n\n - Partner closely with Triage Engineers to develop automated solutions.\n\n - Support the full issue lifecycle: identification, investigation, resolution, documentation, and reporting.\n\n - Accurately add metadata to the on road interventions (i.e. Root Cause Labels, Jira Linking, Comments)\n\n - Effectively use Wayve’s proprietary tooling.\n\n - Investigate complex or ambiguous runs that require deeper analysis or resolution.\n\n - Participate in regular standups to address emerging concerns, assign priorities, and adapt to process changes.\n\n - Deliver actionable feedback on triage tooling and suggest improvements to enhance usability and speed.\n\n - Contribute to process improvement and maintain a high standard of safety, efficiency, and rigor.\n\n - Accurately validate Triage automation bots\n\n\nABOUT YOU \n\nIn order to set you up for success as an Autonomous Driving Data Specialist at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Previous experience in ADAS, Autonomous Vehicles or Testing\n\n - Passion for Quality and Safety-first mindset.\n\n - Ability to learn and use a variety of internal tools and software platforms.\n\n - Comfort with technical terminology related to ADAS systems and software stacks.\n\n - Strong communication skills across cross-functional and time-zone-distributed teams.\n\n - Analytical thinking, logical reasoning, and bias-free problem-solving.\n\n - Detail-oriented approach with a focus on accuracy, even over extended sessions.\n\n - Strong debugging, documentation, and investigation skills.\n\n - Ability to work independently and as part of a collaborative team.\n\nDesirable \n\n - Experience with issue tracking and configuration management (e.g., Jira, Confluence, Bitbucket).\n\n - Familiarity with software development concepts: source control, requirements analysis, build pipelines.\n\n - Exposure to software release workflows and release testing practices.\n\n - Basic experience with scripting (e.g., Bash, Python).\n\n - SQL/data analysis proficiency for deeper log review and trend analysis.\n\n - Experience with AV testing or robotics systems.\n\nThis is a full-time role based in our office in Tokyo, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. LI-LA1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"9f461aa4-2af2-4a26-b44d-3a33c53db3d3","title":"Machine Learning Engineer, ADAS","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"Herzliya, Israel","secondaryLocations":[],"publishedAt":"2026-07-07T15:27:50.064+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/9f461aa4-2af2-4a26-b44d-3a33c53db3d3","applyUrl":"https://jobs.ashbyhq.com/wayve/9f461aa4-2af2-4a26-b44d-3a33c53db3d3/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
🛠️ About our Engineering Teams
Wayve’s ADAS engineering teams build the perception and intelligence that power driver assistance in real-world driving. We work end-to-end: from creating high-quality training data, to developing and evaluating CV/3D perception models, to iterating quickly based on performance gaps. The team mixes “online” (on-car, latency/compute constrained) and “offline” (heavier, large-scale data generation) work, with a strong focus on measurable impact and shipping.
🧠 Your day-to-day
You’ll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You’ll work across the full ML lifecycle (data → training → evaluation → iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion of the role involves building scalable data pipelines (including auto-labelling / pseudo-labelling) to accelerate model development.
🧩 What you’ll be working on:
You’ll help deliver core ADAS perception capabilities such as detection, classification, and instance segmentation, with domain focus across lanes, objects, traffic signs, and traffic lights. You’ll contribute to offline pipelines like tracking + 3D reconstruction that let us back-propagate “known good” labels through time and generate large labelled datasets. Depending on your strengths, you may lean more into online models that must run fast in-car, or offline models that improve data quality and coverage at scale.
🙌 You should apply if:
You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view geometry, tracking, 3D reconstruction) and you’re comfortable owning work end-to-end, including evaluation and dataset generation. You enjoy pragmatic problem-solving, working under real product constraints, and you’re excited to improve real-world driving performance through better perception.
🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.
More about Wayve:
🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.
Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.
How we work 💻- Locations & Flexible Working:
Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 mins)
Competency Interviews (Programming and System Design 2 hours total)
Deep-dive technical interviews (domain-specific interview: 1 hours total)
Final interview: mission & values alignment (1 hour).
We’ll always explain the format and work around your availability.
What’s in it for you (Location dependant):
💰 Salaries benchmarked against the market annually
📈 Meaningful equity, sharing in the ownership and long term success of Wayve
✈️ Relocation support and visa sponsorship where applicable
✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
📚 Learning and development budgets with support for training, conferences and growth
🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\n\n\n🛠️ About our Engineering Teams\n\nWayve’s ADAS engineering teams build the perception and intelligence that power driver assistance in real-world driving. We work end-to-end: from creating high-quality training data, to developing and evaluating CV/3D perception models, to iterating quickly based on performance gaps. The team mixes “online” (on-car, latency/compute constrained) and “offline” (heavier, large-scale data generation) work, with a strong focus on measurable impact and shipping.\n\n🧠 Your day-to-day\n\nYou’ll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You’ll work across the full ML lifecycle (data → training → evaluation → iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion of the role involves building scalable data pipelines (including auto-labelling / pseudo-labelling) to accelerate model development.\n\n🧩 What you’ll be working on:\n\nYou’ll help deliver core ADAS perception capabilities such as detection, classification, and instance segmentation, with domain focus across lanes, objects, traffic signs, and traffic lights. You’ll contribute to offline pipelines like tracking + 3D reconstruction that let us back-propagate “known good” labels through time and generate large labelled datasets. Depending on your strengths, you may lean more into online models that must run fast in-car, or offline models that improve data quality and coverage at scale.\n\n🙌 You should apply if:\n\nYou’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view geometry, tracking, 3D reconstruction) and you’re comfortable owning work end-to-end, including evaluation and dataset generation. You enjoy pragmatic problem-solving, working under real product constraints, and you’re excited to improve real-world driving performance through better perception.\n\n🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.\n\nMore about Wayve:\n\n🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.\n\nOur ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.\n\nHow we work 💻- Locations & Flexible Working:\n\nOur main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.\n\n🔍 The Interview Process:\n\nOur process is clear and respectful of your time:\n\n - Initial call / recruiter screen (30 mins)\n\n - Competency Interviews (Programming and System Design 2 hours total) \n\n - Deep-dive technical interviews (domain-specific interview: 1 hours total)\n\n - Final interview: mission & values alignment (1 hour).\n\nWe’ll always explain the format and work around your availability.\n\nWhat’s in it for you (Location dependant):\n\n💰 Salaries benchmarked against the market annually\n📈 Meaningful equity, sharing in the ownership and long term success of Wayve\n✈️ Relocation support and visa sponsorship where applicable\n✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs\n📚 Learning and development budgets with support for training, conferences and growth\n🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"86009108-674e-4ed2-8ed6-79db8b393f9e","title":"Machine Learning Engineer, ADAS","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-07-07T15:27:55.475+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/86009108-674e-4ed2-8ed6-79db8b393f9e","applyUrl":"https://jobs.ashbyhq.com/wayve/86009108-674e-4ed2-8ed6-79db8b393f9e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
🛠️ About our Engineering Teams
Wayve’s ADAS engineering teams build the perception and intelligence that power driver assistance in real-world driving. We work end-to-end: from creating high-quality training data, to developing and evaluating CV/3D perception models, to iterating quickly based on performance gaps. The team mixes “online” (on-car, latency/compute constrained) and “offline” (heavier, large-scale data generation) work, with a strong focus on measurable impact and shipping.
🧠 Your day-to-day
You’ll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You’ll work across the full ML lifecycle (data → training → evaluation → iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion of the role involves building scalable data pipelines (including auto-labelling / pseudo-labelling) to accelerate model development.
🧩 What you’ll be working on:
You’ll help deliver core ADAS perception capabilities such as detection, classification, and instance segmentation, with domain focus across lanes, objects, traffic signs, and traffic lights. You’ll contribute to offline pipelines like tracking + 3D reconstruction that let us back-propagate “known good” labels through time and generate large labelled datasets. Depending on your strengths, you may lean more into online models that must run fast in-car, or offline models that improve data quality and coverage at scale.
🙌 You should apply if:
You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view geometry, tracking, 3D reconstruction) and you’re comfortable owning work end-to-end, including evaluation and dataset generation. You enjoy pragmatic problem-solving, working under real product constraints, and you’re excited to improve real-world driving performance through better perception.
🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.
More about Wayve:
🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.
Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.
How we work 💻- Locations & Flexible Working:
Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 mins)
Competency Interviews (Programming and System Design 2 hours total)
Deep-dive technical interviews (domain-specific interview: 1 hours total)
Final interview: mission & values alignment (1 hour).
We’ll always explain the format and work around your availability.
What’s in it for you (Location dependant):
💰 Salaries benchmarked against the market annually
📈 Meaningful equity, sharing in the ownership and long term success of Wayve
✈️ Relocation support and visa sponsorship where applicable
✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
📚 Learning and development budgets with support for training, conferences and growth
🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\n\n\n🛠️ About our Engineering Teams\n\nWayve’s ADAS engineering teams build the perception and intelligence that power driver assistance in real-world driving. We work end-to-end: from creating high-quality training data, to developing and evaluating CV/3D perception models, to iterating quickly based on performance gaps. The team mixes “online” (on-car, latency/compute constrained) and “offline” (heavier, large-scale data generation) work, with a strong focus on measurable impact and shipping.\n\n🧠 Your day-to-day\n\nYou’ll train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You’ll work across the full ML lifecycle (data → training → evaluation → iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion of the role involves building scalable data pipelines (including auto-labelling / pseudo-labelling) to accelerate model development.\n\n🧩 What you’ll be working on:\n\nYou’ll help deliver core ADAS perception capabilities such as detection, classification, and instance segmentation, with domain focus across lanes, objects, traffic signs, and traffic lights. You’ll contribute to offline pipelines like tracking + 3D reconstruction that let us back-propagate “known good” labels through time and generate large labelled datasets. Depending on your strengths, you may lean more into online models that must run fast in-car, or offline models that improve data quality and coverage at scale.\n\n🙌 You should apply if:\n\nYou’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view geometry, tracking, 3D reconstruction) and you’re comfortable owning work end-to-end, including evaluation and dataset generation. You enjoy pragmatic problem-solving, working under real product constraints, and you’re excited to improve real-world driving performance through better perception.\n\n🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.\n\nMore about Wayve:\n\n🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.\n\nOur ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.\n\nHow we work 💻- Locations & Flexible Working:\n\nOur main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.\n\n🔍 The Interview Process:\n\nOur process is clear and respectful of your time:\n\n - Initial call / recruiter screen (30 mins)\n\n - Competency Interviews (Programming and System Design 2 hours total) \n\n - Deep-dive technical interviews (domain-specific interview: 1 hours total)\n\n - Final interview: mission & values alignment (1 hour).\n\nWe’ll always explain the format and work around your availability.\n\nWhat’s in it for you (Location dependant):\n\n💰 Salaries benchmarked against the market annually\n📈 Meaningful equity, sharing in the ownership and long term success of Wayve\n✈️ Relocation support and visa sponsorship where applicable\n✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs\n📚 Learning and development budgets with support for training, conferences and growth\n🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"56b07135-2002-4b12-91bc-4e4f48e7f729","title":"Staff Security Engineer","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-07-02T21:38:36.407+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/56b07135-2002-4b12-91bc-4e4f48e7f729","applyUrl":"https://jobs.ashbyhq.com/wayve/56b07135-2002-4b12-91bc-4e4f48e7f729/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Summary
Join Wayve as a Staff Security Engineer, responsible for advancing the security framework of our internal platform and IT security engineering group, SPINE. This pivotal role focuses on developing enforceable and continuously improving security systems, working collaboratively with the central Security team to ensure our security strategy is effectively implemented across our endpoint, identity, and internal platform estate.
Responsibilities
Lead endpoint and identity security systems across SPINE, ensuring continuous improvement of controls.
Deploy and manage security tooling, automation, and infrastructure-as-code solutions for scalability.
Identify and remediate systemic security gaps, using data to drive improvements and track security KPIs.
Collaborate with the Security team and other stakeholders to align security measures with compliance and policy requirements.
Mentor engineers and provide technical leadership in security across the organization
Required Skills
Proficiency in scripting and automation (Python, Bash, PowerShell).
Experience with infrastructure-as-code and configuration-as-policy methodologies.
Strong Linux systems experience and background in endpoint/device management.
Familiarity with identity and access systems, and implementation of device and access controls.
Excellent communication skills and the ability to influence technical decisions.
Self-directed and proactive problem-solving capabilities, comfortable operating with broad scope and autonomy
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nSummary\nJoin Wayve as a Staff Security Engineer, responsible for advancing the security framework of our internal platform and IT security engineering group, SPINE. This pivotal role focuses on developing enforceable and continuously improving security systems, working collaboratively with the central Security team to ensure our security strategy is effectively implemented across our endpoint, identity, and internal platform estate.\n\nResponsibilities\n\n - Lead endpoint and identity security systems across SPINE, ensuring continuous improvement of controls.\n\n - Deploy and manage security tooling, automation, and infrastructure-as-code solutions for scalability.\n\n - Identify and remediate systemic security gaps, using data to drive improvements and track security KPIs.\n\n - Collaborate with the Security team and other stakeholders to align security measures with compliance and policy requirements.\n\n - Mentor engineers and provide technical leadership in security across the organization\n\nRequired Skills\n\n - Proficiency in scripting and automation (Python, Bash, PowerShell).\n\n - Experience with infrastructure-as-code and configuration-as-policy methodologies.\n\n - Strong Linux systems experience and background in endpoint/device management.\n\n - Familiarity with identity and access systems, and implementation of device and access controls.\n\n - Excellent communication skills and the ability to influence technical decisions.\n\n - Self-directed and proactive problem-solving capabilities, comfortable operating with broad scope and autonomy\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"7bb0ad3b-b8a3-420d-a30f-5c40855a9d0a","title":"Lead Technical Program Manager, Data ","department":"Product & Strategy","team":"Product & Strategy","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-07-09T16:40:38.164+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/7bb0ad3b-b8a3-420d-a30f-5c40855a9d0a","applyUrl":"https://jobs.ashbyhq.com/wayve/7bb0ad3b-b8a3-420d-a30f-5c40855a9d0a/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As the Lead Technical Program Manager for Data at Wayve, you'll build and lead the technical program management function for our Data org - the data platform, ingestion, standardisation pipelines, and the enrichment, curation, and labelling that fuel the AI Driver. The data corpus is also critical for teams working on simulation and validation.
You'll be the delivery partner to engineering leadership for data teams and drive the department wide objective to “make valuable data immediately and reliably usable”. You will leading flagship programs yourself while supporting and coaching a small, high-impact TPM team. Your impact is measured in data quality, throughput, cost, and how predictably the data that powers every model lands. A successful TPM leader is a force multiplier - helping teams move faster, more effectively, and with purpose.
Lead the function: Build, coach, and grow a small TPM team; hire to fill gaps and raise the bar.
Own data delivery: Partner with Data leadership on planning, prioritisation, and execution across the data roadmap.
Trusted partner for Engineering: You are a leader in the org. You will maintain the partnership with Engineering leaders to land big outcomes, pushing teams to land impact with high leverage and hold leaders to account.
Drive flagship programs directly: Data platform, data pipelines, enrichment & curation, labelling / annotation, and dataset management and quality.
Establish scalable practices: Planning cadences, governance, KPIs and dashboards, escalations and operational reviews.
Align cross-functionally: Work with data, ML, engineering, and external data / annotation suppliers; manage dependencies, risk, and trade-offs.
Connect to outcomes and represent the data org: Tie delivery to data quality, throughput, cost, and time-to-insight, and represent the data org in company-level reviews.
In order to set you up for success as a Lead Technical Program Manager, Data at Wayve, we're looking for the following skills and experience. (The first four are our must-haves.)
Essential
8+ years in data: Deep, hands-on experience delivering data programs as a technical program manager - data platform, pipelines, enrichment / curation, labelling - including people and process leadership. You've built or scaled a program function and you get things done with ownership and a bias for action.
People leadership: You build, coach, and grow high-performing teams, and raise the bar on the craft.
Technically strong: Credible with engineers on data platforms, pipelines, and large-scale data infrastructure, even though you won't write production code. Experience with distributed data platforms at Petabyte scale.
Experience with data ingestion from raw data to processing through different stages and pipelines. Understands Directed Acyclic Graphs, their usage and challenges.
Solid understanding of Machine Learning, GPUs and training and inference of 500M-20B parameter models.
Proficient with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker, Python.
Proficient with AI Agents to accelerate execution: eg. Cursor, Claude, Codex.
Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery.
Systems thinking: You reason about how the parts of a complex data system fit together, and how a change in one area ripples into others.
Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.
Exceptional cross-functional leadership: You align and influence across data, ML, and engineering without relying on authority.
Strategic & business impact: You link data investment to measurable outcomes - quality, throughput, cost.
Clear, data-driven communicator: You set direction with clarity and steer with the right metrics.
Growth mindset: Open to feedback and always looking to improve.
Desirable
Working experience with a large scale distributed data platform used by 100s of engineers and researchers.
Background in autonomous vehicles, robotics, or another large-scale data / ML program.
An engineering or computer science degree, or experience working as an engineer; fluent with modern delivery tooling (e.g. Jira).
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs the Lead Technical Program Manager for Data at Wayve, you'll build and lead the technical program management function for our Data org - the data platform, ingestion, standardisation pipelines, and the enrichment, curation, and labelling that fuel the AI Driver. The data corpus is also critical for teams working on simulation and validation.\n\nYou'll be the delivery partner to engineering leadership for data teams and drive the department wide objective to “make valuable data immediately and reliably usable”. You will leading flagship programs yourself while supporting and coaching a small, high-impact TPM team. Your impact is measured in data quality, throughput, cost, and how predictably the data that powers every model lands. A successful TPM leader is a force multiplier - helping teams move faster, more effectively, and with purpose.\n\n\nKEY RESPONSIBILITIES\n\n - Lead the function: Build, coach, and grow a small TPM team; hire to fill gaps and raise the bar.\n\n - Own data delivery: Partner with Data leadership on planning, prioritisation, and execution across the data roadmap.\n\n - Trusted partner for Engineering: You are a leader in the org. You will maintain the partnership with Engineering leaders to land big outcomes, pushing teams to land impact with high leverage and hold leaders to account.\n\n - Drive flagship programs directly: Data platform, data pipelines, enrichment & curation, labelling / annotation, and dataset management and quality.\n\n - Establish scalable practices: Planning cadences, governance, KPIs and dashboards, escalations and operational reviews.\n\n - Align cross-functionally: Work with data, ML, engineering, and external data / annotation suppliers; manage dependencies, risk, and trade-offs.\n\n - Connect to outcomes and represent the data org: Tie delivery to data quality, throughput, cost, and time-to-insight, and represent the data org in company-level reviews.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Lead Technical Program Manager, Data at Wayve, we're looking for the following skills and experience. (The first four are our must-haves.)\n\nEssential\n\n - 8+ years in data: Deep, hands-on experience delivering data programs as a technical program manager - data platform, pipelines, enrichment / curation, labelling - including people and process leadership. You've built or scaled a program function and you get things done with ownership and a bias for action.\n\n - People leadership: You build, coach, and grow high-performing teams, and raise the bar on the craft.\n\n - Technically strong: Credible with engineers on data platforms, pipelines, and large-scale data infrastructure, even though you won't write production code. Experience with distributed data platforms at Petabyte scale.\n \n - Experience with data ingestion from raw data to processing through different stages and pipelines. Understands Directed Acyclic Graphs, their usage and challenges.\n \n - Solid understanding of Machine Learning, GPUs and training and inference of 500M-20B parameter models.\n \n - Proficient with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker, Python.\n \n - Proficient with AI Agents to accelerate execution: eg. Cursor, Claude, Codex.\n\n - Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery.\n\n - Systems thinking: You reason about how the parts of a complex data system fit together, and how a change in one area ripples into others.\n\n - Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.\n\n - Exceptional cross-functional leadership: You align and influence across data, ML, and engineering without relying on authority.\n\n - Strategic & business impact: You link data investment to measurable outcomes - quality, throughput, cost.\n\n - Clear, data-driven communicator: You set direction with clarity and steer with the right metrics.\n\n - Growth mindset: Open to feedback and always looking to improve.\n\nDesirable\n\n - Working experience with a large scale distributed data platform used by 100s of engineers and researchers.\n\n - Background in autonomous vehicles, robotics, or another large-scale data / ML program.\n\n - An engineering or computer science degree, or experience working as an engineer; fluent with modern delivery tooling (e.g. Jira).\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"cc31a398-9895-4868-8d36-040e149e5fe9","title":"Solutions Architect","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-07-09T17:19:49.573+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/cc31a398-9895-4868-8d36-040e149e5fe9","applyUrl":"https://jobs.ashbyhq.com/wayve/cc31a398-9895-4868-8d36-040e149e5fe9/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
We are looking for an experienced Solution Architect to support the integration of Wayve’s autonomous driving technology with automotive OEM vehicle platforms. In this role, you will work at the boundary between Wayve’s core AI Driver architecture and OEM / Tier 1 vehicle systems. You will help define how Wayve software interfaces with vehicle platforms, including sensors, vehicle signals, middleware, ECU constraints, timing, diagnostics, safety assumptions, data logging, and validation. The ideal candidate can translate product and customer needs into clear technical specifications, understand both high-level system architecture and implementation details, and help ensure that Wayve’s solution integrates safely, efficiently, and consistently across customer programs. You will be expected to work independently within your scope, handle ambiguous technical problems, identify dependencies and risks, and keep stakeholders aligned.
Key responsibilities:
Define and manage the technical architecture for customer vehicle integration, focusing on the interface between Wayve software and OEM / Tier 1 vehicle systems.
Collaborate with Product Management to translate product requirements and customer program needs into actionable technical specifications.
Define and document integration boundaries with OEMs and Tier 1 suppliers, including what is Wayve-owned, partner-owned, jointly defined, or out of scope.
Translate ambiguous customer or partner discussions into explicit ownership boundaries, interface contracts, assumptions, dependencies, and open technical decisions.
Work closely with Software Architects to assess technical feasibility and ensure customer program integration needs are aligned with Wayve’s core architecture.
Coordinate with Validation Engineers to define integration test requirements and ensure customer program requirements are verifiable.
Develop and maintain program-facing technical documentation, including interface specifications, integration guides, ownership boundary definitions, architecture diagrams, and decision records.
Support customer program planning by identifying integration complexity, dependencies, technical gaps, technical risks, and required partner deliverables.
Participate in OEM and Tier 1 technical discussions, representing Wayve’s product architecture, integration approach, and technical assumptions.
Act as a technical bridge between customer programs and Wayve internal teams, ensuring customer-specific integration needs are clearly understood without unnecessarily fragmenting the core product architecture.
About you
In order to set you up for success as a Solution Architect at Wayve, we’re looking for the following skills and experience.
Essential
System & SW architecture expertise: Experience defining or contributing to technical architecture for ADAS, autonomous driving, embedded software, or vehicle systems, especially at the software–vehicle interface.
Product Boundary definition: Ability to define clear technical boundaries, ownership models, assumptions, dependencies, and interface contracts between internal software and external vehicle systems.
Vehicle and embedded software understanding: Good understanding of vehicle electronics, embedded software constraints, ECU integration, real-time execution, timing, diagnostics, and production vehicle software environments.
Automotive communication and E/E architecture: Knowledge of automotive communication protocols and architectures, such as CAN, FlexRay, Automotive Ethernet, SOME/IP, AUTOSAR, or equivalent.
OEM integration experience: Experience working with, or integrating systems for, automotive OEMs or Tier 1 suppliers. Ability to support discussions on OEM-specific requirements, standards, and integration constraints.
Requirements and specification quality: Ability to translate product requirements and customer discussions into clear technical specifications, interface requirements, and validation-ready requirements.
Cross-functional multidisciplinary experience: Proven ability to work effectively across Product, Software Architecture, Hardware, Calibrations, System Safety, Validation, and customer-facing teams, including Field Application Engineering. Experience should span unit-level, subsystem-level, and system-level discussions, with the ability to align technical decisions across engineering domains and translate customer or product needs into practical architectural solutions.
Technical communication: Strong written and verbal communication skills, including the ability to explain complex architecture topics clearly through documents, diagrams, and technical reviews.
Desirable
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
Experience working as a Tier 1 supplier in the automotive industry
Knowledge of generative AI, LLMs, and transformer architectures
Familiarity with end-to-end approaches in autonomous driving
Experience with automotive OEM integration projects
Hands-on experience with embedded Linux, QNX, Adaptive AUTOSAR, DDS, SOME/IP, or custom automotive middleware.
Experience with sensor integration, including cameras, radar, IMU, GNSS, calibration, timestamping, and synchronization.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
This is a full-time role based in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role \n\nWe are looking for an experienced Solution Architect to support the integration of Wayve’s autonomous driving technology with automotive OEM vehicle platforms. In this role, you will work at the boundary between Wayve’s core AI Driver architecture and OEM / Tier 1 vehicle systems. You will help define how Wayve software interfaces with vehicle platforms, including sensors, vehicle signals, middleware, ECU constraints, timing, diagnostics, safety assumptions, data logging, and validation. The ideal candidate can translate product and customer needs into clear technical specifications, understand both high-level system architecture and implementation details, and help ensure that Wayve’s solution integrates safely, efficiently, and consistently across customer programs. You will be expected to work independently within your scope, handle ambiguous technical problems, identify dependencies and risks, and keep stakeholders aligned.\n\nKey responsibilities:\n\n - Define and manage the technical architecture for customer vehicle integration, focusing on the interface between Wayve software and OEM / Tier 1 vehicle systems.\n\n - Collaborate with Product Management to translate product requirements and customer program needs into actionable technical specifications.\n\n - Define and document integration boundaries with OEMs and Tier 1 suppliers, including what is Wayve-owned, partner-owned, jointly defined, or out of scope.\n\n - Translate ambiguous customer or partner discussions into explicit ownership boundaries, interface contracts, assumptions, dependencies, and open technical decisions.\n\n - Work closely with Software Architects to assess technical feasibility and ensure customer program integration needs are aligned with Wayve’s core architecture.\n\n - Coordinate with Validation Engineers to define integration test requirements and ensure customer program requirements are verifiable.\n\n - Develop and maintain program-facing technical documentation, including interface specifications, integration guides, ownership boundary definitions, architecture diagrams, and decision records.\n\n - Support customer program planning by identifying integration complexity, dependencies, technical gaps, technical risks, and required partner deliverables.\n\n - Participate in OEM and Tier 1 technical discussions, representing Wayve’s product architecture, integration approach, and technical assumptions.\n\n - Act as a technical bridge between customer programs and Wayve internal teams, ensuring customer-specific integration needs are clearly understood without unnecessarily fragmenting the core product architecture.\n\nAbout you \n\nIn order to set you up for success as a Solution Architect at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - System & SW architecture expertise: Experience defining or contributing to technical architecture for ADAS, autonomous driving, embedded software, or vehicle systems, especially at the software–vehicle interface.\n\n - Product Boundary definition: Ability to define clear technical boundaries, ownership models, assumptions, dependencies, and interface contracts between internal software and external vehicle systems.\n\n - Vehicle and embedded software understanding: Good understanding of vehicle electronics, embedded software constraints, ECU integration, real-time execution, timing, diagnostics, and production vehicle software environments.\n\n - Automotive communication and E/E architecture: Knowledge of automotive communication protocols and architectures, such as CAN, FlexRay, Automotive Ethernet, SOME/IP, AUTOSAR, or equivalent.\n\n - OEM integration experience: Experience working with, or integrating systems for, automotive OEMs or Tier 1 suppliers. Ability to support discussions on OEM-specific requirements, standards, and integration constraints.\n\n - Requirements and specification quality: Ability to translate product requirements and customer discussions into clear technical specifications, interface requirements, and validation-ready requirements.\n\n - Cross-functional multidisciplinary experience: Proven ability to work effectively across Product, Software Architecture, Hardware, Calibrations, System Safety, Validation, and customer-facing teams, including Field Application Engineering. Experience should span unit-level, subsystem-level, and system-level discussions, with the ability to align technical decisions across engineering domains and translate customer or product needs into practical architectural solutions.\n\n - Technical communication: Strong written and verbal communication skills, including the ability to explain complex architecture topics clearly through documents, diagrams, and technical reviews.\n\nDesirable \n\n - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field\n\n - Experience working as a Tier 1 supplier in the automotive industry\n\n - Knowledge of generative AI, LLMs, and transformer architectures\n\n - Familiarity with end-to-end approaches in autonomous driving\n\n - Experience with automotive OEM integration projects\n\n - Hands-on experience with embedded Linux, QNX, Adaptive AUTOSAR, DDS, SOME/IP, or custom automotive middleware.\n\n - Experience with sensor integration, including cameras, radar, IMU, GNSS, calibration, timestamping, and synchronization.\n\nWe understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.\n\nThis is a full-time role based in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"f9d75493-0bd6-428f-b419-04ce7f70b443","title":"Senior Field Engineer","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Detroit, Michigan USA","secondaryLocations":[],"publishedAt":"2026-07-09T20:10:54.379+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/f9d75493-0bd6-428f-b419-04ce7f70b443","applyUrl":"https://jobs.ashbyhq.com/wayve/f9d75493-0bd6-428f-b419-04ce7f70b443/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Senior Field Engineer is a hands-on, senior individual contributor who reports directly to the in-country Field Engineering Lead and works with a high degree of autonomy on ambiguous and complex problems within their domain.
They use judgement to decide when to apply established solutions and when new approaches are required, seeking guidance from the Field Engineering Lead where appropriate. They own projects, processes, or systems end-to-end and act as a key operational enabler, allowing the Field Engineering Lead to focus on higher-level strategic initiatives while maintaining confidence in day-to-day execution.
Lead resolution of complex and ambiguous vehicle software and hardware issues, acting as the escalation point for high-severity faults within their region.
Use judgement to determine when to apply established diagnostic approaches and when new solutions or workflows are required.
Serve as the first responder for geo-specific escalations and priority initiatives, supporting the in-country Field Engineering Lead.
Provide cross-regional escalation support across the US, UK, Germany, and Japan, ensuring continuity through effective global handovers.
Ensure all fault triage, diagnosis, and repairs meet safety, compliance, and sign-off standards.
Act as the senior Field Engineer on shift, setting day-to-day technical priorities and guiding team execution.
Support, unblock, and mentor other Field Engineers, particularly during complex incidents or investigations.
Operate as the operational stand-in for the Field Engineering Lead when required, maintaining execution continuity and clear decision-making.
Maintain close alignment with the in-country Field Engineering Lead, and in-country Fleet Service and Maintenance Manager, enabling focus on higher-level initiatives.
Own projects, processes, or systems end-to-end, from problem definition through delivery and adoption.
Identify recurring fleet issues, operational bottlenecks, or reliability risks and lead initiatives to address them.
Drive improvements to tooling, workflows, documentation, and operational practices in collaboration with cross-functional teams.
Act as a key liaison between Field Engineering and cross-functional stakeholders during incidents, escalations, and projects. Including holding and leading meetings to discuss diagnostic solutions and paths forward.
Ensure technical learnings are clearly documented and shared to strengthen global fleet operations.
Champion safety-first decision-making, high-quality execution, and continuous improvement across Field Engineering.
In order to set you up for success as a Field Engineer at Wayve, we’re looking for the following skills and experience.
Advanced Technical Expertise – Strong hands-on experience diagnosing complex vehicle software and hardware issues in fleet, automotive, robotics, or ADAS environments, with a working, practical understanding of software systems and interactions.
Software Awareness & Debugging Fundamentals – Basic understanding of software concepts such as logs, deployments, configuration, system states, and failure modes, with the ability to collaborate effectively with software engineering teams during investigations.
Independent Problem Solving – Proven ability to work on ambiguous problems, anticipate challenges, and make sound technical decisions autonomously.
Operational Leadership – Experience acting as a senior technical presence, setting priorities and guiding others without formal people management responsibility.
Project & Process Ownership – Demonstrated ability to own projects, processes, or systems end-to-end and deliver meaningful improvements.
Communication & Collaboration – Strong ability to work across teams, regions, and functions, providing clear technical direction and updates.
Safety & Compliance – Deep understanding of safety protocols, incident management, and operational governance.
Technical Tools & Platforms – Familiarity with vehicle diagnostic tools, monitoring platforms (e.g. Datadog, Mender), and ticketing systems such as JIRA.
Flexibility & Availability – Comfortable operating in a shift-based, 24/7 global support environment, including weekend and bank holiday coverage.
Experience supporting or leading on-road testing operations.
Strong understanding of ADAS or autonomous vehicle systems.
Experience working closely with software engineering teams in production or fleet environments.
Previous experience acting as a senior, deputy, or lead-in-practice within a technical team.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
This is a full-time role based in our office in Detroit
10-15% travel required
This role will be shift-based, including weekends and holidays that will align with our on-site Fleet Servicing & Maintenance Technicians.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe Senior Field Engineer is a hands-on, senior individual contributor who reports directly to the in-country Field Engineering Lead and works with a high degree of autonomy on ambiguous and complex problems within their domain.\n\nThey use judgement to decide when to apply established solutions and when new approaches are required, seeking guidance from the Field Engineering Lead where appropriate. They own projects, processes, or systems end-to-end and act as a key operational enabler, allowing the Field Engineering Lead to focus on higher-level strategic initiatives while maintaining confidence in day-to-day execution.\n\n\nKEY RESPONSIBILITIES:\n\n\nTECHNICAL LEADERSHIP & ESCALATIONS\n\n - Lead resolution of complex and ambiguous vehicle software and hardware issues, acting as the escalation point for high-severity faults within their region.\n\n - Use judgement to determine when to apply established diagnostic approaches and when new solutions or workflows are required.\n\n - Serve as the first responder for geo-specific escalations and priority initiatives, supporting the in-country Field Engineering Lead.\n\n - Provide cross-regional escalation support across the US, UK, Germany, and Japan, ensuring continuity through effective global handovers.\n\n - Ensure all fault triage, diagnosis, and repairs meet safety, compliance, and sign-off standards.\n\n\nOPERATIONAL OWNERSHIP & TEAM ENABLEMENT\n\n - Act as the senior Field Engineer on shift, setting day-to-day technical priorities and guiding team execution.\n\n - Support, unblock, and mentor other Field Engineers, particularly during complex incidents or investigations.\n\n - Operate as the operational stand-in for the Field Engineering Lead when required, maintaining execution continuity and clear decision-making.\n\n - Maintain close alignment with the in-country Field Engineering Lead, and in-country Fleet Service and Maintenance Manager, enabling focus on higher-level initiatives.\n\n\nPROJECT, PROCESS & SYSTEMS OWNERSHIP\n\n - Own projects, processes, or systems end-to-end, from problem definition through delivery and adoption.\n\n - Identify recurring fleet issues, operational bottlenecks, or reliability risks and lead initiatives to address them.\n\n - Drive improvements to tooling, workflows, documentation, and operational practices in collaboration with cross-functional teams.\n\n\nCOMMUNICATION, SAFETY & CONTINUOUS IMPROVEMENT\n\n - Act as a key liaison between Field Engineering and cross-functional stakeholders during incidents, escalations, and projects. Including holding and leading meetings to discuss diagnostic solutions and paths forward. \n\n - Ensure technical learnings are clearly documented and shared to strengthen global fleet operations.\n\n - Champion safety-first decision-making, high-quality execution, and continuous improvement across Field Engineering.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Field Engineer at Wayve, we’re looking for the following skills and experience. \n\n\nESSENTIAL\n\n - Advanced Technical Expertise – Strong hands-on experience diagnosing complex vehicle software and hardware issues in fleet, automotive, robotics, or ADAS environments, with a working, practical understanding of software systems and interactions.\n\n - Software Awareness & Debugging Fundamentals – Basic understanding of software concepts such as logs, deployments, configuration, system states, and failure modes, with the ability to collaborate effectively with software engineering teams during investigations.\n\n - Independent Problem Solving – Proven ability to work on ambiguous problems, anticipate challenges, and make sound technical decisions autonomously.\n\n - Operational Leadership – Experience acting as a senior technical presence, setting priorities and guiding others without formal people management responsibility.\n\n - Project & Process Ownership – Demonstrated ability to own projects, processes, or systems end-to-end and deliver meaningful improvements.\n\n - Communication & Collaboration – Strong ability to work across teams, regions, and functions, providing clear technical direction and updates.\n\n - Safety & Compliance – Deep understanding of safety protocols, incident management, and operational governance.\n\n - Technical Tools & Platforms – Familiarity with vehicle diagnostic tools, monitoring platforms (e.g. Datadog, Mender), and ticketing systems such as JIRA.\n\n - Flexibility & Availability – Comfortable operating in a shift-based, 24/7 global support environment, including weekend and bank holiday coverage.\n\n\nDESIRABLE\n\n - Experience supporting or leading on-road testing operations.\n\n - Strong understanding of ADAS or autonomous vehicle systems.\n\n - Experience working closely with software engineering teams in production or fleet environments.\n\n - Previous experience acting as a senior, deputy, or lead-in-practice within a technical team.\n\nWe understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.\n\nDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.\n\nThis is a full-time role based in our office in Detroit \n10-15% travel required\n\nThis role will be shift-based, including weekends and holidays that will align with our on-site Fleet Servicing & Maintenance Technicians.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"15f91a32-0f54-4f8d-8560-6dcabfb61654","title":"Shift Lead","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Detroit, Michigan USA","secondaryLocations":[],"publishedAt":"2026-07-09T20:11:41.327+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/15f91a32-0f54-4f8d-8560-6dcabfb61654","applyUrl":"https://jobs.ashbyhq.com/wayve/15f91a32-0f54-4f8d-8560-6dcabfb61654/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Shift leads are a pivotal layer of management in our Fleet Operations, responsible for ensuring daily operations are conducted with the highest levels of safety and efficiency. They play a crucial role in fostering an inclusive working environment where Vehicle Safety Officers (VSOs) feel their ideas are valued and can voice safety concerns without fear. This role is vital, and candidates must possess exceptional skills and qualifications.
Our current operational site is in Detroit, MI. where we carry out on-road testing and development operations. The successful candidate will be expected to be available to work in-person for each shift. Remote opportunities are not available for this position.
This role will be a 5x8 dedicated shift role although expect some movement to support customer needs.
As a Shift Lead, you will be responsible for managing a team of VSO’s to ensure that they are trained, motivated, and performing their roles safely and achieving operational hours
Leadership and Supervision: Lead a team of VSOs during a shift, providing guidance, support, and direction to ensure tasks are completed efficiently and effectively.
Operational Management: Oversee the day-to-day operations within the shift, ensuring they meet the company's standards and goals. This includes managing work schedules, assigning tasks, and monitoring performance.
Performance management: Line manage a group of VSOs who will operate across a rostered shift pattern, ensuring that you have face-to-face, documented contact with each member at least on a monthly basis.
Customer Engagement: Engage with customers directly by being the central point of contact for specific OEM initiatives and cascading instructions to VSOs
Safety and Compliance: Ensure all operations comply with company policies and legal regulations. Promote a safe work environment by enforcing safety protocols.
Quality Control: Monitor the quality of on-road testing during a shift to ensure they meet the required standards. Address any issues or discrepancies and highlight them to the Quality Assurance team.
Problem Solving: Identify operational problems and challenges. Develop and implement practical solutions to overcome these issues, ensuring minimal disruption to the operations.
Communication: Serve as the primary point of contact for the operations team during the shift. Communicate effectively with team members, management, and other departments to ensure a cohesive operation.
Reporting and Documentation: Prepare and submit reports on shift activities, including performance metrics, incident reports, and any deviations from the standard operating procedures.
Incident Management: Provide the initial point of contact for an on-road incident and initial ‘Operations Officer’ as per the company Major Incident Management Plan.
Training and Development: Coordinate individual and collective training and development events with the Quality Assurance team.
Continuous Improvement: Continuously seek ways to improve operational efficiency and effectiveness. Implement process improvements and best practices.
In order to set you up for success as a Shift Lead at Wayve, we’re looking for the following skills and experience.
Essential
You must be fluent in English
You remain calm and controlled in a pressured environment
You take on board feedback and learn from your mistakes, employing a growth mindset to the way you develop yourself
You enjoy working with people, thriving in a team environment
You know how to manage your wellbeing including fatigue, stress and have personal, proven strategies to do this
Proven experience as a team coordinator or similar role.
Strong leadership and communication skills in a 1:1 capacity, downwards to your team, and upwards and laterally with your other stakeholders
Ability to work under pressure and manage multiple priorities.
Excellent problem-solving skills and attention to detail.
Proficiency in Google Workspace or Microsoft Office suite
External candidates will also be evaluated on:
Full clean driving liscence
At least 5 years' driving experience in
No blameworthy insurance claims in the past three years
Strong driving skills and knowledge and willingness to continue developing
All applications are required to disclose any second job as part of the application process
Employment is contingent upon passing random drug and alcohol testing, in accordance with our Drugs & Alcohol policy.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nShift leads are a pivotal layer of management in our Fleet Operations, responsible for ensuring daily operations are conducted with the highest levels of safety and efficiency. They play a crucial role in fostering an inclusive working environment where Vehicle Safety Officers (VSOs) feel their ideas are valued and can voice safety concerns without fear. This role is vital, and candidates must possess exceptional skills and qualifications. \n\n\nLOCATION & SHIFT EXPECTATIONS\n\nOur current operational site is in Detroit, MI. where we carry out on-road testing and development operations. The successful candidate will be expected to be available to work in-person for each shift. Remote opportunities are not available for this position. \n\nThis role will be a 5x8 dedicated shift role although expect some movement to support customer needs.\n\n\nROLES AND RESPONSIBILITIES \n\nAs a Shift Lead, you will be responsible for managing a team of VSO’s to ensure that they are trained, motivated, and performing their roles safely and achieving operational hours \n\n - Leadership and Supervision: Lead a team of VSOs during a shift, providing guidance, support, and direction to ensure tasks are completed efficiently and effectively.\n\n - Operational Management: Oversee the day-to-day operations within the shift, ensuring they meet the company's standards and goals. This includes managing work schedules, assigning tasks, and monitoring performance.\n\n - Performance management: Line manage a group of VSOs who will operate across a rostered shift pattern, ensuring that you have face-to-face, documented contact with each member at least on a monthly basis.\n\n - Customer Engagement: Engage with customers directly by being the central point of contact for specific OEM initiatives and cascading instructions to VSOs\n\n - Safety and Compliance: Ensure all operations comply with company policies and legal regulations. Promote a safe work environment by enforcing safety protocols.\n\n - Quality Control: Monitor the quality of on-road testing during a shift to ensure they meet the required standards. Address any issues or discrepancies and highlight them to the Quality Assurance team.\n\n - Problem Solving: Identify operational problems and challenges. Develop and implement practical solutions to overcome these issues, ensuring minimal disruption to the operations.\n\n - Communication: Serve as the primary point of contact for the operations team during the shift. Communicate effectively with team members, management, and other departments to ensure a cohesive operation.\n\n - Reporting and Documentation: Prepare and submit reports on shift activities, including performance metrics, incident reports, and any deviations from the standard operating procedures.\n\n - Incident Management: Provide the initial point of contact for an on-road incident and initial ‘Operations Officer’ as per the company Major Incident Management Plan.\n\n - Training and Development: Coordinate individual and collective training and development events with the Quality Assurance team.\n\n - Continuous Improvement: Continuously seek ways to improve operational efficiency and effectiveness. Implement process improvements and best practices.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Shift Lead at Wayve, we’re looking for the following skills and experience. \n\nEssential\n\n - You must be fluent in English \n\n - You remain calm and controlled in a pressured environment\n\n - You take on board feedback and learn from your mistakes, employing a growth mindset to the way you develop yourself\n\n - You enjoy working with people, thriving in a team environment\n\n - You know how to manage your wellbeing including fatigue, stress and have personal, proven strategies to do this\n\n - Proven experience as a team coordinator or similar role.\n\n - Strong leadership and communication skills in a 1:1 capacity, downwards to your team, and upwards and laterally with your other stakeholders\n\n - Ability to work under pressure and manage multiple priorities.\n\n - Excellent problem-solving skills and attention to detail.\n\n - Proficiency in Google Workspace or Microsoft Office suite\n\nExternal candidates will also be evaluated on:\n\n - Full clean driving liscence \n\n - At least 5 years' driving experience in \n\n - No blameworthy insurance claims in the past three years\n\n - Strong driving skills and knowledge and willingness to continue developing\n\n - All applications are required to disclose any second job as part of the application process\n\n - Employment is contingent upon passing random drug and alcohol testing, in accordance with our Drugs & Alcohol policy.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"209d351c-5f7b-4830-a7b0-30fb79ca0500","title":"Automotive System Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-21T02:48:47.838+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/209d351c-5f7b-4830-a7b0-30fb79ca0500","applyUrl":"https://jobs.ashbyhq.com/wayve/209d351c-5f7b-4830-a7b0-30fb79ca0500/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As automotive system engineer, you will be responsible for designing the L2/L3 automotive grade system based on our AV2.0 approach. This includes the strategy and the concept of how to embed our fundamentally new autonomy solution in future OEM vehicle infrastructures. You will also engage with our customers and represent our approach and our company in the planning of collaboration projects.
You will grow with the company and be critical in establishing how we design our system closely with software engineering leads. Our stack includes base software for sensor data processing, neural network execution and diagnostics and robotic functions for vehicle control.
You will also act as a coach to others towards an automotive grade, requirement based development mindset to help teams deliver automotive grade software.
Key responsibilities:
Define clear, actionable system requirements for assigned products, whether focused on L2+, L3 automated driving, or ADAS functionalities.
Collaborate with product managers, software developers, and hardware teams to ensure requirements align with customer and business needs.
Ensure traceability and alignment of requirements throughout the product lifecycle.
Data Driven Development:
Create comprehensive scenarios that the system must handle, ensuring it performs reliably in various real-world conditions. Support for selecting and creating such testing scenarios from data corpus and for ensuring that data-driven insights guide system development and testing processes.
Ensures that scenario definitions are validated and refined through collaboration with multiple teams, aligning with overall business and customer needs.
Support Implementation:
Work closely with software developers to align on data collection requirements, scenarios, KPIs and behaviour specifications
Work closely with the solutions and architecture teams to develop the system architecture based on the system requirements and customer constraints.
Oversee and support the integration of solutions into vehicles, ensuring seamless functionality and compatibility.
Hands-On Testing:
Actively test and validate systems in vehicles to gain direct experience and provide firsthand feedback.
Analyze performance in real-world scenarios, identifying strengths and areas for improvement.
Define test specifications at the system-level (working with the HIL team) and the vehicle-level integration.
Problem Resolution:
Serve as the first line of support for problem resolution, diagnosing and addressing system issues.
Collaborate across teams to escalate and resolve complex issues, ensuring timely solutions.
Continuous Improvement:
Provide input on process enhancements and system optimizations based on testing and user feedback.
Contribute to the continuous evolution of Wayve’s L2+/L3 and ADAS technologies.
In order to set you up for success as a Systems Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Experience:
5+ years of experience in system engineering, automotive development, or related fields.
Proven experience in defining and managing requirements for complex systems, preferably in ADAS or automated driving domains.
Proficiency in requirements management (e.g., Jama, DOORS) and system engineering tools (e.g., MATLAB/Simulink, Enterprise Architect)
Technical Skills:
Strong understanding of automotive systems, including sensors (cameras, radars, etc.), software integration, and vehicle dynamics.
Experience with system validation and troubleshooting in real-world conditions.
Soft Skills:
Excellent problem-solving skills, with the ability to diagnose and resolve issues effectively.
Strong communication and collaboration skills, with a proactive and hands-on approach.
A forward-thinking mindset and experience in implementing disruptive technologies using traditional automotive processes.
Education:
Bachelor’s or Master’s degree in Systems Engineering, Automotive Engineering, Computer Science, or a related field.
Familiarity with automotive safety standards (e.g., ISO 26262, SOTIF) is a plus.
Desirable
Knowledge of AI and machine learning frameworks and experience with data and test driven development, incl. KPI generation and tracking
Experience with software development for automotive applications, including experience in C/C++ and/or Python.
Experience with system-level validation of AI components, including edge-case scenario testing and robustness assessment.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs automotive system engineer, you will be responsible for designing the L2/L3 automotive grade system based on our AV2.0 approach. This includes the strategy and the concept of how to embed our fundamentally new autonomy solution in future OEM vehicle infrastructures. You will also engage with our customers and represent our approach and our company in the planning of collaboration projects. \n\nYou will grow with the company and be critical in establishing how we design our system closely with software engineering leads. Our stack includes base software for sensor data processing, neural network execution and diagnostics and robotic functions for vehicle control. \n\nYou will also act as a coach to others towards an automotive grade, requirement based development mindset to help teams deliver automotive grade software. \n\nKey responsibilities:\n\n\nREQUIREMENT DEFINITION:\n\n - \n\n - Define clear, actionable system requirements for assigned products, whether focused on L2+, L3 automated driving, or ADAS functionalities.\n\n - Collaborate with product managers, software developers, and hardware teams to ensure requirements align with customer and business needs.\n\n - Ensure traceability and alignment of requirements throughout the product lifecycle.\n\n 1. Data Driven Development: \n \n - Create comprehensive scenarios that the system must handle, ensuring it performs reliably in various real-world conditions. Support for selecting and creating such testing scenarios from data corpus and for ensuring that data-driven insights guide system development and testing processes.\n \n - Ensures that scenario definitions are validated and refined through collaboration with multiple teams, aligning with overall business and customer needs.\n\n 2. Support Implementation:\n \n - Work closely with software developers to align on data collection requirements, scenarios, KPIs and behaviour specifications\n \n - Work closely with the solutions and architecture teams to develop the system architecture based on the system requirements and customer constraints.\n \n - Oversee and support the integration of solutions into vehicles, ensuring seamless functionality and compatibility.\n\n 3. Hands-On Testing:\n \n - Actively test and validate systems in vehicles to gain direct experience and provide firsthand feedback.\n \n - Analyze performance in real-world scenarios, identifying strengths and areas for improvement.\n \n - Define test specifications at the system-level (working with the HIL team) and the vehicle-level integration.\n\n 4. Problem Resolution:\n \n - Serve as the first line of support for problem resolution, diagnosing and addressing system issues.\n \n - Collaborate across teams to escalate and resolve complex issues, ensuring timely solutions.\n\n 5. Continuous Improvement:\n \n - Provide input on process enhancements and system optimizations based on testing and user feedback.\n \n - Contribute to the continuous evolution of Wayve’s L2+/L3 and ADAS technologies.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Systems Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Experience:\n \n - 5+ years of experience in system engineering, automotive development, or related fields.\n \n - Proven experience in defining and managing requirements for complex systems, preferably in ADAS or automated driving domains.\n \n - Proficiency in requirements management (e.g., Jama, DOORS) and system engineering tools (e.g., MATLAB/Simulink, Enterprise Architect)\n\n - Technical Skills:\n \n - Strong understanding of automotive systems, including sensors (cameras, radars, etc.), software integration, and vehicle dynamics.\n \n - Experience with system validation and troubleshooting in real-world conditions.\n\n - Soft Skills:\n \n - Excellent problem-solving skills, with the ability to diagnose and resolve issues effectively.\n \n - Strong communication and collaboration skills, with a proactive and hands-on approach.\n \n - A forward-thinking mindset and experience in implementing disruptive technologies using traditional automotive processes.\n\n - Education:\n \n - Bachelor’s or Master’s degree in Systems Engineering, Automotive Engineering, Computer Science, or a related field.\n \n - Familiarity with automotive safety standards (e.g., ISO 26262, SOTIF) is a plus.\n\nDesirable\n\n - Knowledge of AI and machine learning frameworks and experience with data and test driven development, incl. KPI generation and tracking \n\n - Experience with software development for automotive applications, including experience in C/C++ and/or Python.\n\n - Experience with system-level validation of AI components, including edge-case scenario testing and robustness assessment.\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"430d4d4f-7442-4e9e-bfed-e1376bb1dfe1","title":"Vehicle Performance Modelling Engineer","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-22T08:04:42.865+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/430d4d4f-7442-4e9e-bfed-e1376bb1dfe1","applyUrl":"https://jobs.ashbyhq.com/wayve/430d4d4f-7442-4e9e-bfed-e1376bb1dfe1/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
As a Vehicle Performance Modelling Engineer you will be responsible for developing vehicle dynamics models and ensure simulations accurately represent real-world performance. This role provides the opportunity to implement the mathematical models, integrate them into the software stack, and evaluate their accuracy through simulation and experimental testing.
This role offers brings a unique opportunity to shape the future of vehicle dynamics at Wayve by creating accurate representations of vehicles for both online and offline systems. You will work cross-functionally with robotics, simulation and product teams to integrate vehicle models into Wayve’s innovative end to end driving stack.
Key responsibilities
Vehicle Modelling: Develop virtual vehicle models using physics-based and data-driven techniques.
Mathematical and Physical Modelling: Create detailed models that represent vehicle and subsystems virtually.
Validation and Performance Correlation: Validate models with on-road data and identify and implement correlation improvements.
Model Integration and Optimisation: Convert models into efficient, high-quality software components that meet accuracy, performance and scalability requirements.
Performance Analysis: Own processes, tools and experiments to evaluate on-road vehicle performance metrics.
Experimental Work: Plan, execute and analyse experimental tests to improve models accuracy.
Communication and collaboration: Share results and insights with stakeholders to foster collaboration and drive innovation.
About you
In order to set you up for success as a Vehicle Performance Modelling Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Experience in developing mathematical models and simulation algorithms for vehicle dynamics, robotics or control systems.
Understanding of classical mechanics, numerical analysis and computational methods.
Experience in validating simulation models against experimental data.
Software development with C++ or Python.
Desirable
Previous experience in vehicle dynamics modelling for autonomous vehicles, automotive or motorsport.
Use of data-driven approaches (e.g. machine learning or system identification) for modelling systems with unknown physical parameters.
Familiarity with high-fidelity vehicle dynamics modelling tools (e.g. Dymola, CarSim, CarMaker) and integration in simulation workflows.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nAs a Vehicle Performance Modelling Engineer you will be responsible for developing vehicle dynamics models and ensure simulations accurately represent real-world performance. This role provides the opportunity to implement the mathematical models, integrate them into the software stack, and evaluate their accuracy through simulation and experimental testing.\n\nThis role offers brings a unique opportunity to shape the future of vehicle dynamics at Wayve by creating accurate representations of vehicles for both online and offline systems. You will work cross-functionally with robotics, simulation and product teams to integrate vehicle models into Wayve’s innovative end to end driving stack.\n\nKey responsibilities\n\n - Vehicle Modelling: Develop virtual vehicle models using physics-based and data-driven techniques.\n\n - Mathematical and Physical Modelling: Create detailed models that represent vehicle and subsystems virtually.\n\n - Validation and Performance Correlation: Validate models with on-road data and identify and implement correlation improvements.\n\n - Model Integration and Optimisation: Convert models into efficient, high-quality software components that meet accuracy, performance and scalability requirements.\n\n - Performance Analysis: Own processes, tools and experiments to evaluate on-road vehicle performance metrics.\n\n - Experimental Work: Plan, execute and analyse experimental tests to improve models accuracy.\n\n - Communication and collaboration: Share results and insights with stakeholders to foster collaboration and drive innovation.\n\nAbout you\n\nIn order to set you up for success as a Vehicle Performance Modelling Engineer at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Experience in developing mathematical models and simulation algorithms for vehicle dynamics, robotics or control systems.\n\n - Understanding of classical mechanics, numerical analysis and computational methods.\n\n - Experience in validating simulation models against experimental data.\n\n - Software development with C++ or Python.\n\nDesirable\n\n - Previous experience in vehicle dynamics modelling for autonomous vehicles, automotive or motorsport.\n\n - Use of data-driven approaches (e.g. machine learning or system identification) for modelling systems with unknown physical parameters.\n\n - Familiarity with high-fidelity vehicle dynamics modelling tools (e.g. Dymola, CarSim, CarMaker) and integration in simulation workflows.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"b4508e76-1bac-48db-bb72-53d56d2b7335","title":"Application Software Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Herzliya, Israel","secondaryLocations":[],"publishedAt":"2026-07-14T15:20:17.502+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/b4508e76-1bac-48db-bb72-53d56d2b7335","applyUrl":"https://jobs.ashbyhq.com/wayve/b4508e76-1bac-48db-bb72-53d56d2b7335/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re seeking an exceptional and mature Application SW Engineer to join our Israel-based Application Engineering team, focused on advancing Wayve’s autonomous driving technology for different markets. This is a unique opportunity to play a hands-on role in shaping our AV capabilities from the ground up.
In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.
Key Responsibilities:
Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
Integrate and validate OEM/Tiers deliveries covering drivers, middleware and runtime into Wayve development life cycle.
Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
Implement system-level diagnostics, logging, and secure boot configuration.
Develop automation for setup, flashing, health checks, and test execution on target hardware.
Support other teams in porting and configuring our applications over Linux-based systems/ QNX/Adaptive AUTOSAR environments.
In order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential:
Demonstrated industry experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
Strong proficiency in C/C++, Bash, and Python.
Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
Desirable:
Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
Familiarity with Docker, Jenkins/buildkite, Git, and artifact management tools like JFrog Artifactory.
This is a full-time role based in our office in Israel. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWe’re seeking an exceptional and mature Application SW Engineer to join our Israel-based Application Engineering team, focused on advancing Wayve’s autonomous driving technology for different markets. This is a unique opportunity to play a hands-on role in shaping our AV capabilities from the ground up.\n\nIn this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.\n\n\nKey Responsibilities:\n\n - Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).\n\n - Integrate and validate OEM/Tiers deliveries covering drivers, middleware and runtime into Wayve development life cycle.\n\n - Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.\n\n - Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.\n\n - Implement system-level diagnostics, logging, and secure boot configuration.\n\n - Develop automation for setup, flashing, health checks, and test execution on target hardware.\n\n - Support other teams in porting and configuring our applications over Linux-based systems/ QNX/Adaptive AUTOSAR environments.\n\n\nABOUT YOU \n\nIn order to set you up for success as an Application Software Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential: \n\n - Demonstrated industry experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.\n\n - Strong proficiency in C/C++, Bash, and Python.\n\n - Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).\n\n - Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.\n\n - Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).\n\n - Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).\n\n - Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.\n\n - Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.\n\nDesirable:\n\n - Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).\n\n - Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.\n\n - Understanding of secure boot, OTA updates, and system-level cybersecurity topics.\n\n - Familiarity with Docker, Jenkins/buildkite, Git, and artifact management tools like JFrog Artifactory.\n \n \n\nThis is a full-time role based in our office in Israel. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"b450587d-1b74-4b69-a0d6-cb717d490aa9","title":"Feature Owner, ADAS","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-08-13T09:48:01.348+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/b450587d-1b74-4b69-a0d6-cb717d490aa9","applyUrl":"https://jobs.ashbyhq.com/wayve/b450587d-1b74-4b69-a0d6-cb717d490aa9/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
In this pivotal role as a Product Feature Owner, you will take end-to-end responsibility for specific Collision Avoidance and Lane Keeping ADAS functionalities, such as Automatic Emergency Braking (AEB), Lane Keeping Assist (LKA), Evasive Steering Assist (ESA), Automatic Emergency Steering (AES) and Blind Spot Monitoring (BSM). Your focus will be to ensure these features meet customer (OEM) requirements, align with internal capabilities and roadmaps, and are delivered to spec. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards. Your dedication to aligning customer needs with our strategic vision will directly enhance our vehicles’ capabilities and user experience.
Key responsibilities:
Feature Oversight and Delivery: Take full accountability for specific ADAS features, ensuring on-time delivery and alignment with agreed-upon specifications. Monitor the feature’s lifecycle from concept to production, addressing any deviations promptly.
Technical Collaboration and Hands-on Engagement: Collaborate with feature group owners and engineering teams to create feature specifications. Engage actively with the teams throughout feature development, providing early feedback, participating in testing, and supporting validation processes.
Customer Advocacy and Alignment: Deeply understand OEM customer needs and requirements, representing their interests internally without compromising Wayve’s objectives. Harmonise OEM requests across different customers to maximise the development of reusable assets and ensure scalability.
Cross-functional Communication and Coordination: Serve as the central liaison between OEMs, product teams, and engineering teams for your feature(s). Facilitate streamlined communication and reduce misunderstandings. Participate in agile processes and rituals.
Risk Mitigation and Strategic Alignment: Proactively identify and address potential issues before they escalate. Maintain and evolve the strategic feature roadmap as our technology progresses towards higher autonomy levels, ensuring alignment with both customer expectations and Wayve’s strategic objectives.
In order to set you up for success as a feature owner at Wayve, we’re looking for the following skills and experience.
Essential
Experience with ADAS Feature Development: Expertise in specifying and facilitating ADAS feature delivery from concept to production, such as Lane Keeping, AEB, ESA, AES, BSM, etc.
Automotive Background: Experience with automotive processes, including requirements management, V-model, ASPICE, quality, and validation.
Customer Advocacy and Communication Skills: Strong ability to understand and represent OEM customer needs, negotiate requirements, and align expectations between customers and internal teams.
Technical Competence and Hands-on Approach: Technical understanding of ADAS features, capable of engaging in discussions about trade-offs and feasibility, and actively involved in testing, evaluation, and validation processes.
Desirable
Experience Shipping ADAS Features into Production: Demonstrated success in delivering complete ADAS features into large-scale production automotive programs.
Knowledge of Automotive Quality and Safety Standards: Good understanding of automotive quality and safety standards (ASPICE, SOTIF, FuSa, …) as well as the compliance regime around them (GSR-II, DCAS, …)
Experience with machine learning, LLMs and recent generative AI methods and architectures
Strong Collaboration Skills: Ability to effectively bridge technical and business perspectives, ensuring clear communication and alignment across teams and stakeholders.
Innovative and Forward-thinking: A proactive approach to exploring and developing new ADAS features, keeping Wayve at the forefront of technological advancement in the industry.
This is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nIn this pivotal role as a Product Feature Owner, you will take end-to-end responsibility for specific Collision Avoidance and Lane Keeping ADAS functionalities, such as Automatic Emergency Braking (AEB), Lane Keeping Assist (LKA), Evasive Steering Assist (ESA), Automatic Emergency Steering (AES) and Blind Spot Monitoring (BSM). Your focus will be to ensure these features meet customer (OEM) requirements, align with internal capabilities and roadmaps, and are delivered to spec. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards. Your dedication to aligning customer needs with our strategic vision will directly enhance our vehicles’ capabilities and user experience.\n\nKey responsibilities:\n\n - Feature Oversight and Delivery: Take full accountability for specific ADAS features, ensuring on-time delivery and alignment with agreed-upon specifications. Monitor the feature’s lifecycle from concept to production, addressing any deviations promptly.\n\n - Technical Collaboration and Hands-on Engagement: Collaborate with feature group owners and engineering teams to create feature specifications. Engage actively with the teams throughout feature development, providing early feedback, participating in testing, and supporting validation processes.\n\n - Customer Advocacy and Alignment: Deeply understand OEM customer needs and requirements, representing their interests internally without compromising Wayve’s objectives. Harmonise OEM requests across different customers to maximise the development of reusable assets and ensure scalability.\n\n - Cross-functional Communication and Coordination: Serve as the central liaison between OEMs, product teams, and engineering teams for your feature(s). Facilitate streamlined communication and reduce misunderstandings. Participate in agile processes and rituals.\n\n - Risk Mitigation and Strategic Alignment: Proactively identify and address potential issues before they escalate. Maintain and evolve the strategic feature roadmap as our technology progresses towards higher autonomy levels, ensuring alignment with both customer expectations and Wayve’s strategic objectives.\n\n\nABOUT YOU \n\nIn order to set you up for success as a feature owner at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Experience with ADAS Feature Development: Expertise in specifying and facilitating ADAS feature delivery from concept to production, such as Lane Keeping, AEB, ESA, AES, BSM, etc.\n\n - Automotive Background: Experience with automotive processes, including requirements management, V-model, ASPICE, quality, and validation.\n\n - Customer Advocacy and Communication Skills: Strong ability to understand and represent OEM customer needs, negotiate requirements, and align expectations between customers and internal teams.\n\n - Technical Competence and Hands-on Approach: Technical understanding of ADAS features, capable of engaging in discussions about trade-offs and feasibility, and actively involved in testing, evaluation, and validation processes.\n\nDesirable \n\n - Experience Shipping ADAS Features into Production: Demonstrated success in delivering complete ADAS features into large-scale production automotive programs.\n\n - Knowledge of Automotive Quality and Safety Standards: Good understanding of automotive quality and safety standards (ASPICE, SOTIF, FuSa, …) as well as the compliance regime around them (GSR-II, DCAS, …)\n\n - Experience with machine learning, LLMs and recent generative AI methods and architectures\n\n - Strong Collaboration Skills: Ability to effectively bridge technical and business perspectives, ensuring clear communication and alignment across teams and stakeholders.\n\n - Innovative and Forward-thinking: A proactive approach to exploring and developing new ADAS features, keeping Wayve at the forefront of technological advancement in the industry.\n\nThis is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\n \n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"cdb8907d-cf5a-4dc0-bf75-7e95fee16590","title":"Principal Engineer, 3D Reconstruction","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-07-19T21:32:35.320+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/cdb8907d-cf5a-4dc0-bf75-7e95fee16590","applyUrl":"https://jobs.ashbyhq.com/wayve/cdb8907d-cf5a-4dc0-bf75-7e95fee16590/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Role
Wayve is looking for a Principal Engineer, 3D Reconstruction to lead the development of an offline 3D reconstruction capability that builds high-quality 3D world geometry from vehicle sensor data in dynamic scenes. The system will draw on localization and mapping, state estimation, and sensor fusion to produce offline 3D geometric reconstructions and best-estimate ego motion from heterogeneous vehicle platforms and sensor suites. The work will support internal validation, data enrichment, and model development by turning raw sensor data into reliable, quality-assessed 3D ground-truth outputs. This is a principal-level technical leadership role for someone who can set the technical direction, build early prototypes, and align cross-functional teams around a shared reconstruction capability.
Key Responsibilities
Define the technical architecture and roadmap for Wayve’s offline 3D reconstruction system.
Lead the development of MVPs that unblock high-priority internal use cases, while guiding the transition to a robust internal platform.
Establish the core technical interfaces, output representations, and tools needed to support internal customers.
Partner with calibration, sensor fusion, perception, data, infrastructure, and validation teams to align requirements, resources and ownership boundaries.
Set technical standards for reconstruction quality, failure analysis, uncertainty measurement, and dataset suitability and execute strategies to validate them
Mentor and provide technical leadership to engineers contributing to the 3D reconstruction effort.
Communicate technical tradeoffs, limitations, and progress clearly to engineering leaders and cross-functional stakeholders.
Required Skills/Experience
Deep technical expertise in SLAM, 3D reconstruction, mapping, state estimation, or closely related robotics/perception fields.
Strong hands-on experience with lidar-based reconstruction, point-cloud registration, pose estimation, and real-world robotics sensor data.
Experience building offline reconstruction, mapping, or perception systems that operate on large volumes of sensor data.
Strong software engineering skills in C++, Python, or similar robotics/perception environments.
Experience taking research or prototype algorithms into reliable production systems.
Comfortable defining technical strategy, roadmaps, and milestones in ambiguous problem spaces
Strong cross-functional technical leadership in ambiguous, multi-team environments.
Clear communication of algorithmic tradeoffs, limitations, confidence, and failure modes to technical and cross functional stakeholders.
Systems-level understanding of sensor calibration, timing, synchronization and quality issues, and ability to define requirements and work with specialist teams to achieve them
Desired Skills/Experience
MS/PhD in Robotics, Computer Science, State Estimation, Sensor Fusion, SLAM, 3D Reconstruction, or a related technical field; or equivalent practical experience.
Experience with autonomous vehicles, robotics, mapping, or ground-truth data pipelines in a production setting.
Experience with GNSS/INS fusion, sensor based odometry, or other high-accuracy position estimation approaches
Experience with nonlinear optimization techniques such as pose graph optimization, factor graphs, bundle adjustment, ICP etc
Experience apply modern machine learning approaches to 3D reconstruction, mapping, or scene understanding, including foundation models or learned 3D representations
Familiarity with robotics tooling such as ROS, PCL, OpenCV, CUDA, or similar.
Familiarity with ML data enrichment, autolabelling, annotation workflows, or validation-data generation.
Experience designing quality metrics, validation evidence, or credibility arguments for reconstructed data.
Experience leading small expert technical teams from early-stage concept to production use.
This role is a full-time role based in Sunnyvale.
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe Role\n\nWayve is looking for a Principal Engineer, 3D Reconstruction to lead the development of an offline 3D reconstruction capability that builds high-quality 3D world geometry from vehicle sensor data in dynamic scenes. The system will draw on localization and mapping, state estimation, and sensor fusion to produce offline 3D geometric reconstructions and best-estimate ego motion from heterogeneous vehicle platforms and sensor suites. The work will support internal validation, data enrichment, and model development by turning raw sensor data into reliable, quality-assessed 3D ground-truth outputs. This is a principal-level technical leadership role for someone who can set the technical direction, build early prototypes, and align cross-functional teams around a shared reconstruction capability.\n\nKey Responsibilities\n\n \n\n - Define the technical architecture and roadmap for Wayve’s offline 3D reconstruction system.\n\n - Lead the development of MVPs that unblock high-priority internal use cases, while guiding the transition to a robust internal platform.\n\n - Establish the core technical interfaces, output representations, and tools needed to support internal customers.\n\n - Partner with calibration, sensor fusion, perception, data, infrastructure, and validation teams to align requirements, resources and ownership boundaries.\n\n - Set technical standards for reconstruction quality, failure analysis, uncertainty measurement, and dataset suitability and execute strategies to validate them\n\n - Mentor and provide technical leadership to engineers contributing to the 3D reconstruction effort.\n\n - Communicate technical tradeoffs, limitations, and progress clearly to engineering leaders and cross-functional stakeholders.\n\nRequired Skills/Experience\n\n - Deep technical expertise in SLAM, 3D reconstruction, mapping, state estimation, or closely related robotics/perception fields.\n\n - Strong hands-on experience with lidar-based reconstruction, point-cloud registration, pose estimation, and real-world robotics sensor data.\n\n - Experience building offline reconstruction, mapping, or perception systems that operate on large volumes of sensor data.\n\n - Strong software engineering skills in C++, Python, or similar robotics/perception environments.\n\n - Experience taking research or prototype algorithms into reliable production systems.\n\n - Comfortable defining technical strategy, roadmaps, and milestones in ambiguous problem spaces\n\n - Strong cross-functional technical leadership in ambiguous, multi-team environments.\n\n - Clear communication of algorithmic tradeoffs, limitations, confidence, and failure modes to technical and cross functional stakeholders.\n\n - Systems-level understanding of sensor calibration, timing, synchronization and quality issues, and ability to define requirements and work with specialist teams to achieve them\n\nDesired Skills/Experience\n\n - MS/PhD in Robotics, Computer Science, State Estimation, Sensor Fusion, SLAM, 3D Reconstruction, or a related technical field; or equivalent practical experience.\n\n - Experience with autonomous vehicles, robotics, mapping, or ground-truth data pipelines in a production setting.\n\n - Experience with GNSS/INS fusion, sensor based odometry, or other high-accuracy position estimation approaches\n\n - Experience with nonlinear optimization techniques such as pose graph optimization, factor graphs, bundle adjustment, ICP etc\n\n - Experience apply modern machine learning approaches to 3D reconstruction, mapping, or scene understanding, including foundation models or learned 3D representations\n\n - Familiarity with robotics tooling such as ROS, PCL, OpenCV, CUDA, or similar.\n\n - Familiarity with ML data enrichment, autolabelling, annotation workflows, or validation-data generation.\n\n - Experience designing quality metrics, validation evidence, or credibility arguments for reconstructed data.\n\n - Experience leading small expert technical teams from early-stage concept to production use.\n\n \n\nThis role is a full-time role based in Sunnyvale.\n\nAt Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"fa7c2962-e96c-48c4-ad21-506c082f97fa","title":"Machine Learning Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-07-22T13:11:54.934+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/fa7c2962-e96c-48c4-ad21-506c082f97fa","applyUrl":"https://jobs.ashbyhq.com/wayve/fa7c2962-e96c-48c4-ad21-506c082f97fa/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As an ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.
You’ll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.
Key Responsibilities:
Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.
Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
Mentor senior engineers and shape the long-term technical direction across Autonomy.
In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Extensive and proven track record of shipping deep learning systems to production.
Expert in deep learning (esp. sequential models, control, planning, or perception).
Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.
Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.
Desirable
Prior work in autonomous driving, imitation learning, or trajectory prediction.
Familiarity with personalization, human behavior modeling, or driver intent inference.
Experience integrating ML systems into production hardware or multi-agent simulation.
This is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs an ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.\n\nYou’ll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.\n\nKey Responsibilities:\n\n - Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.\n\n - Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.\n\n - Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.\n\n - Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.\n\n - Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.\n\n - Collaborate cross-functionally across various teams to ensure integration and iteration velocity.\n\n - Mentor senior engineers and shape the long-term technical direction across Autonomy.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Extensive and proven track record of shipping deep learning systems to production.\n\n - Expert in deep learning (esp. sequential models, control, planning, or perception).\n\n - Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.\n\n - Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.\n\n - Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.\n\nDesirable \n\n - Prior work in autonomous driving, imitation learning, or trajectory prediction.\n\n - Familiarity with personalization, human behavior modeling, or driver intent inference.\n\n - Experience integrating ML systems into production hardware or multi-agent simulation.\n \n \n\nThis is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"d583170d-9664-4948-becd-5fed0de764b7","title":"Data Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-07-22T14:17:13.957+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/d583170d-9664-4948-becd-5fed0de764b7","applyUrl":"https://jobs.ashbyhq.com/wayve/d583170d-9664-4948-becd-5fed0de764b7/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Data Engineer within the Machine Learning team in Application Software, you’ll contribute to critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration.
You’ll design and deliver scalable data pipelines that transform vast amounts of data from diverse internal and external sources into structured, reliable, and model-ready datasets. Your work will span data ingestion, data quality assurance, transformation, curation, evaluation and ML support. You’ll collaborate deeply with Wayve’s Data Corpus teams and ML engineers to build systems that are performant, adaptable, and ready for production.
Key Responsibilities:
Build and improve scalable data pipelines that support model development, evaluation, and production ML workflows for autonomous driving.
Ingest, transform, and curate large-scale real-world, synthetic, and partner-provided datasets into structured, reliable, and model-ready formats aligned with standardised taxonomies and coordinate systems.
Develop data quality checks, validation processes, and monitoring to ensure both raw data from our vehicle platforms and processed datasets are high-quality, complete, consistent, traceable, and fit for ML use cases.
Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
Improve pipeline performance, reliability, and usability, helping reduce bottlenecks and increase iteration velocity across ML development.
Collaborate closely with Machine Learning engineers, Data Corpus, AI Platform, and external partners to ensure data pipelines integrate effectively with production-scale learning systems.
In order to set you up for success as a Data Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Proven experience building and operating scalable data pipelines or distributed data processing systems in production environments.
Strong software engineering skills in Python, with a solid foundation in maintainable, reliable, and well-tested software development practices.
Proficient in SQL and PySpark, with experience using warehouse/OLAP concepts, window functions, and Spark for distributed data processing.
Experience with modern data pipeline architectures, including workflow orchestration and DAG-based systems such as Airflow, Flyte, Ray, or similar.
Solid understanding of robotics and automated driving data concepts, including sensor characteristics, timestamping and clock synchronisation, coordinate transformations, calibration, and ego-motion signals such as GNSS/IMU and vehicle odometry.
Understanding of machine learning development workflows, including training data generation, evaluation datasets, scenario mining, and model iteration.
Excellent communication and collaborative skills, capable of working effectively with interdisciplinary teams.
Desirable
Prior work in calibration, perception, imitation learning, or trajectory prediction.
Experience with third-party dataset ingestion and transformation.
Familiarity with automated driving data and scenario taxonomies, including ODD definitions, manoeuvre and behavior labels, scene classification, event tagging, semantic understanding.
This is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a Data Engineer within the Machine Learning team in Application Software, you’ll contribute to critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration.\n\nYou’ll design and deliver scalable data pipelines that transform vast amounts of data from diverse internal and external sources into structured, reliable, and model-ready datasets. Your work will span data ingestion, data quality assurance, transformation, curation, evaluation and ML support. You’ll collaborate deeply with Wayve’s Data Corpus teams and ML engineers to build systems that are performant, adaptable, and ready for production.\n\n \n\nKey Responsibilities:\n\n - Build and improve scalable data pipelines that support model development, evaluation, and production ML workflows for autonomous driving.\n\n - Ingest, transform, and curate large-scale real-world, synthetic, and partner-provided datasets into structured, reliable, and model-ready formats aligned with standardised taxonomies and coordinate systems.\n\n - Develop data quality checks, validation processes, and monitoring to ensure both raw data from our vehicle platforms and processed datasets are high-quality, complete, consistent, traceable, and fit for ML use cases.\n\n - Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.\n\n - Improve pipeline performance, reliability, and usability, helping reduce bottlenecks and increase iteration velocity across ML development.\n\n - Collaborate closely with Machine Learning engineers, Data Corpus, AI Platform, and external partners to ensure data pipelines integrate effectively with production-scale learning systems.\n\n \n\n\nABOUT YOU \n\nIn order to set you up for success as a Data Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Proven experience building and operating scalable data pipelines or distributed data processing systems in production environments.\n\n - Strong software engineering skills in Python, with a solid foundation in maintainable, reliable, and well-tested software development practices.\n\n - Proficient in SQL and PySpark, with experience using warehouse/OLAP concepts, window functions, and Spark for distributed data processing.\n\n - Experience with modern data pipeline architectures, including workflow orchestration and DAG-based systems such as Airflow, Flyte, Ray, or similar.\n\n - Solid understanding of robotics and automated driving data concepts, including sensor characteristics, timestamping and clock synchronisation, coordinate transformations, calibration, and ego-motion signals such as GNSS/IMU and vehicle odometry.\n\n - Understanding of machine learning development workflows, including training data generation, evaluation datasets, scenario mining, and model iteration.\n\n - Excellent communication and collaborative skills, capable of working effectively with interdisciplinary teams.\n\n \n\nDesirable \n\n - Prior work in calibration, perception, imitation learning, or trajectory prediction.\n\n - Experience with third-party dataset ingestion and transformation.\n\n - Familiarity with automated driving data and scenario taxonomies, including ODD definitions, manoeuvre and behavior labels, scene classification, event tagging, semantic understanding.\n\n \n\nThis is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"1ec1aed8-2ef1-4b55-bfbd-9941ea71f902","title":"Technical Program Manager, Evaluation & Validation","department":"Product & Strategy","team":"Product & Strategy","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-07-24T16:54:03.505+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/1ec1aed8-2ef1-4b55-bfbd-9941ea71f902","applyUrl":"https://jobs.ashbyhq.com/wayve/1ec1aed8-2ef1-4b55-bfbd-9941ea71f902/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Technical Program Manager in Simulation, Evaluation & Validation at Wayve, you'll drive delivery across the platforms and processes that prove the AI Driver is ready for the road - open and closed-loop simulation, the evaluation platform, synthetic data, critical-event pipelines, and behaviour validation. Your programs gate real on-road releases, so your impact is measured in release confidence, signal quality, and developer velocity.
Working with engineers and scientists across Autonomy, Science, Release, Product, and Safety, you'll bring structure to a complex, cross-cutting, safety-critical space in a fast-moving environment. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.
Drive program delivery: Own end-to-end delivery of cross-team programs spanning simulation, evaluation, and validation.
Sequence cross-cutting initiatives: Compose roadmaps across simulators, datasets, evaluation, and triage; manage dependencies, risks, and trade-offs, and escalate early with clear options.
Tie work to outcomes: Connect platform delivery to measurable outcomes - developer velocity, signal quality, cost per evaluation, time-to-insight, and validation credibility.
Coordinate release-gating validation: Partner with Autonomy, Science, Release, Product, and Safety on acceptance criteria and the validation that gates releases.
Run delivery rhythms: Run planning, reviews, and retros, and communicate progress and risk to engineers, partners, and senior leaders.
Champion continuous improvement: Improve tooling, processes, and ways of working across the platforms.
In order to set you up for success as a Technical Program Manager in Evaluation & Validation at Wayve, we're looking for the following skills and experience. (The first three are our must-haves.)
Essential
Bias for action: 8+ years leading complex, multi-team programs (or a strong record at this level). You lead high-complexity work across teams and get things done.
Technically strong: Credible with engineers and scientists across simulation, evaluation, ML, and validation; you reason about how data, simulator fidelity, and metric design propagate into release confidence, even though you won't write production code.
Stays neutral and adapts under pressure: Effective in ambiguous, safety-critical environments; you flex your style and bring structure without slowing delivery.
Strong project management: Skilled at planning, prioritising, and managing risk and dependencies across teams.
Clear communicator & collaborator: You influence without authority across Autonomy, Science, Release, Product, and Safety.
Data-driven: Comfortable defining and using metrics - signal quality, coverage, time-to-insight - to steer delivery and decisions.
Growth mindset: Open to feedback and always looking to improve.
Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.
Product-minded: You focus on outcomes and the people your programs serve - prioritizing by impact and defining what good looks like, not just tracking activity.
Desirable
Experience in autonomous vehicles, robotics, or another safety-critical AI/ML program.
Familiarity with simulation, synthetic data, evaluation harnesses, or ML observability tooling at production scale.
Working knowledge of SOTIF (ISO 21448), ISO 26262, or other safety standards relevant to validating learned systems.
An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $214,900 to $274,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Technical Program Manager in Simulation, Evaluation & Validation at Wayve, you'll drive delivery across the platforms and processes that prove the AI Driver is ready for the road - open and closed-loop simulation, the evaluation platform, synthetic data, critical-event pipelines, and behaviour validation. Your programs gate real on-road releases, so your impact is measured in release confidence, signal quality, and developer velocity.\n\nWorking with engineers and scientists across Autonomy, Science, Release, Product, and Safety, you'll bring structure to a complex, cross-cutting, safety-critical space in a fast-moving environment. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.\n\n\nKEY RESPONSIBILITIES\n\n - Drive program delivery: Own end-to-end delivery of cross-team programs spanning simulation, evaluation, and validation.\n\n - Sequence cross-cutting initiatives: Compose roadmaps across simulators, datasets, evaluation, and triage; manage dependencies, risks, and trade-offs, and escalate early with clear options.\n\n - Tie work to outcomes: Connect platform delivery to measurable outcomes - developer velocity, signal quality, cost per evaluation, time-to-insight, and validation credibility.\n\n - Coordinate release-gating validation: Partner with Autonomy, Science, Release, Product, and Safety on acceptance criteria and the validation that gates releases.\n\n - Run delivery rhythms: Run planning, reviews, and retros, and communicate progress and risk to engineers, partners, and senior leaders.\n\n - Champion continuous improvement: Improve tooling, processes, and ways of working across the platforms.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Technical Program Manager in Evaluation & Validation at Wayve, we're looking for the following skills and experience. (The first three are our must-haves.)\n\nEssential\n\n - Bias for action: 8+ years leading complex, multi-team programs (or a strong record at this level). You lead high-complexity work across teams and get things done.\n\n - Technically strong: Credible with engineers and scientists across simulation, evaluation, ML, and validation; you reason about how data, simulator fidelity, and metric design propagate into release confidence, even though you won't write production code.\n\n - Stays neutral and adapts under pressure: Effective in ambiguous, safety-critical environments; you flex your style and bring structure without slowing delivery.\n\n - Strong project management: Skilled at planning, prioritising, and managing risk and dependencies across teams.\n\n - Clear communicator & collaborator: You influence without authority across Autonomy, Science, Release, Product, and Safety.\n\n - Data-driven: Comfortable defining and using metrics - signal quality, coverage, time-to-insight - to steer delivery and decisions.\n\n - Growth mindset: Open to feedback and always looking to improve.\n\n - Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.\n\n - Product-minded: You focus on outcomes and the people your programs serve - prioritizing by impact and defining what good looks like, not just tracking activity.\n\nDesirable\n\n - Experience in autonomous vehicles, robotics, or another safety-critical AI/ML program.\n\n - Familiarity with simulation, synthetic data, evaluation harnesses, or ML observability tooling at production scale.\n\n - Working knowledge of SOTIF (ISO 21448), ISO 26262, or other safety standards relevant to validating learned systems.\n\n - An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $214,900 to $274,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"6e4f44b4-8197-4fc6-8030-70c5a72098c3","title":"Feature Owner, ADAS","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-07-24T07:35:26.214+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/6e4f44b4-8197-4fc6-8030-70c5a72098c3","applyUrl":"https://jobs.ashbyhq.com/wayve/6e4f44b4-8197-4fc6-8030-70c5a72098c3/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
In this pivotal role as a Product Feature Owner, you will take end-to-end responsibility for specific ADAS functionalities, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI. Your focus will be to ensure these features meet customer (OEM) requirements, align with internal capabilities and roadmaps, and are delivered to spec. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards. Your dedication to aligning customer needs with our strategic vision will directly enhance our vehicles’ capabilities and user experience.
Key responsibilities:
Feature Oversight and Delivery: Take full accountability for specific ADAS features, ensuring on-time delivery and alignment with agreed-upon specifications. Monitor the feature’s lifecycle from concept to production, addressing any deviations promptly.
Technical Collaboration and Hands-on Engagement: Collaborate with feature group owners and engineering teams to create feature specifications. Engage actively with the teams throughout feature development, providing early feedback, participating in testing, and supporting validation processes.
Customer Advocacy and Alignment: Deeply understand OEM customer needs and requirements, representing their interests internally without compromising Wayve’s objectives. Harmonise OEM requests across different customers to maximise the development of reusable assets and ensure scalability.
Cross-functional Communication and Coordination: Serve as the central liaison between OEMs, product teams, and engineering teams for your feature(s). Facilitate streamlined communication and reduce misunderstandings. Participate in agile processes and rituals.
Risk Mitigation and Strategic Alignment: Proactively identify and address potential issues before they escalate. Maintain and evolve the strategic feature roadmap as our technology progresses towards higher autonomy levels, ensuring alignment with both customer expectations and Wayve’s strategic objectives.
In order to set you up for success as a Product Feature Owner at Wayve, we’re looking for the following skills and experience.
Essential
Experience with ADAS Feature Development: Expertise in specifying and facilitating ADAS feature delivery from concept to production, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI, etc.
Automotive Background: Experience with automotive processes, including requirements management, V-model, ASPICE, quality, and validation.
Customer Advocacy and Communication Skills: Strong ability to understand and represent OEM customer needs, negotiate requirements, and align expectations between customers and internal teams.
Technical Competence and Hands-on Approach: Technical understanding of ADAS features, capable of engaging in discussions about trade-offs and feasibility, and actively involved in testing, evaluation, and validation processes.
Desirable
Experience Shipping ADAS Features into Production: Demonstrated success in delivering complete ADAS features into large-scale production automotive programs.
Knowledge of Automotive Quality and Safety Standards: Good understanding of automotive quality and safety standards (ASPICE, SOTIF, FuSa, …) as well as the compliance regime around them (GSR-II, DCAS, …)
Experience with machine learning, LLMs and recent generative AI methods and architectures
Strong Collaboration Skills: Ability to effectively bridge technical and business perspectives, ensuring clear communication and alignment across teams and stakeholders.
Innovative and Forward-thinking: A proactive approach to exploring and developing new ADAS features, keeping Wayve at the forefront of technological advancement in the industry.
This is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nIn this pivotal role as a Product Feature Owner, you will take end-to-end responsibility for specific ADAS functionalities, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI. Your focus will be to ensure these features meet customer (OEM) requirements, align with internal capabilities and roadmaps, and are delivered to spec. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards. Your dedication to aligning customer needs with our strategic vision will directly enhance our vehicles’ capabilities and user experience.\n\nKey responsibilities:\n\n - Feature Oversight and Delivery: Take full accountability for specific ADAS features, ensuring on-time delivery and alignment with agreed-upon specifications. Monitor the feature’s lifecycle from concept to production, addressing any deviations promptly.\n\n - Technical Collaboration and Hands-on Engagement: Collaborate with feature group owners and engineering teams to create feature specifications. Engage actively with the teams throughout feature development, providing early feedback, participating in testing, and supporting validation processes.\n\n - Customer Advocacy and Alignment: Deeply understand OEM customer needs and requirements, representing their interests internally without compromising Wayve’s objectives. Harmonise OEM requests across different customers to maximise the development of reusable assets and ensure scalability.\n\n - Cross-functional Communication and Coordination: Serve as the central liaison between OEMs, product teams, and engineering teams for your feature(s). Facilitate streamlined communication and reduce misunderstandings. Participate in agile processes and rituals.\n\n - Risk Mitigation and Strategic Alignment: Proactively identify and address potential issues before they escalate. Maintain and evolve the strategic feature roadmap as our technology progresses towards higher autonomy levels, ensuring alignment with both customer expectations and Wayve’s strategic objectives.\n\n\n\nABOUT YOU \n\nIn order to set you up for success as a Product Feature Owner at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Experience with ADAS Feature Development: Expertise in specifying and facilitating ADAS feature delivery from concept to production, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI, etc.\n\n - Automotive Background: Experience with automotive processes, including requirements management, V-model, ASPICE, quality, and validation.\n\n - Customer Advocacy and Communication Skills: Strong ability to understand and represent OEM customer needs, negotiate requirements, and align expectations between customers and internal teams.\n\n - Technical Competence and Hands-on Approach: Technical understanding of ADAS features, capable of engaging in discussions about trade-offs and feasibility, and actively involved in testing, evaluation, and validation processes.\n\nDesirable \n\n - Experience Shipping ADAS Features into Production: Demonstrated success in delivering complete ADAS features into large-scale production automotive programs.\n\n - Knowledge of Automotive Quality and Safety Standards: Good understanding of automotive quality and safety standards (ASPICE, SOTIF, FuSa, …) as well as the compliance regime around them (GSR-II, DCAS, …)\n\n - Experience with machine learning, LLMs and recent generative AI methods and architectures\n\n - Strong Collaboration Skills: Ability to effectively bridge technical and business perspectives, ensuring clear communication and alignment across teams and stakeholders.\n\n - Innovative and Forward-thinking: A proactive approach to exploring and developing new ADAS features, keeping Wayve at the forefront of technological advancement in the industry.\n\n \n\nThis is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"2900f9ab-c1aa-4ca8-bf55-6f6a847793dc","title":"Feature Owner, ADAS","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-07-24T07:35:27.304+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/2900f9ab-c1aa-4ca8-bf55-6f6a847793dc","applyUrl":"https://jobs.ashbyhq.com/wayve/2900f9ab-c1aa-4ca8-bf55-6f6a847793dc/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
In this pivotal role as a Product Feature Owner, you will take end-to-end responsibility for specific ADAS functionalities, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI. Your focus will be to ensure these features meet customer (OEM) requirements, align with internal capabilities and roadmaps, and are delivered to spec. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards. Your dedication to aligning customer needs with our strategic vision will directly enhance our vehicles’ capabilities and user experience.
Key responsibilities:
Feature Oversight and Delivery: Take full accountability for specific ADAS features, ensuring on-time delivery and alignment with agreed-upon specifications. Monitor the feature’s lifecycle from concept to production, addressing any deviations promptly.
Technical Collaboration and Hands-on Engagement: Collaborate with feature group owners and engineering teams to create feature specifications. Engage actively with the teams throughout feature development, providing early feedback, participating in testing, and supporting validation processes.
Customer Advocacy and Alignment: Deeply understand OEM customer needs and requirements, representing their interests internally without compromising Wayve’s objectives. Harmonise OEM requests across different customers to maximise the development of reusable assets and ensure scalability.
Cross-functional Communication and Coordination: Serve as the central liaison between OEMs, product teams, and engineering teams for your feature(s). Facilitate streamlined communication and reduce misunderstandings. Participate in agile processes and rituals.
Risk Mitigation and Strategic Alignment: Proactively identify and address potential issues before they escalate. Maintain and evolve the strategic feature roadmap as our technology progresses towards higher autonomy levels, ensuring alignment with both customer expectations and Wayve’s strategic objectives.
In order to set you up for success as a Product Feature Owner at Wayve, we’re looking for the following skills and experience.
Essential
Experience with ADAS Feature Development: Expertise in specifying and facilitating ADAS feature delivery from concept to production, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI, etc.
Automotive Background: Experience with automotive processes, including requirements management, V-model, ASPICE, quality, and validation.
Customer Advocacy and Communication Skills: Strong ability to understand and represent OEM customer needs, negotiate requirements, and align expectations between customers and internal teams.
Technical Competence and Hands-on Approach: Technical understanding of ADAS features, capable of engaging in discussions about trade-offs and feasibility, and actively involved in testing, evaluation, and validation processes.
Desirable
Experience Shipping ADAS Features into Production: Demonstrated success in delivering complete ADAS features into large-scale production automotive programs.
Knowledge of Automotive Quality and Safety Standards: Good understanding of automotive quality and safety standards (ASPICE, SOTIF, FuSa, …) as well as the compliance regime around them (GSR-II, DCAS, …)
Experience with machine learning, LLMs and recent generative AI methods and architectures
Strong Collaboration Skills: Ability to effectively bridge technical and business perspectives, ensuring clear communication and alignment across teams and stakeholders.
Innovative and Forward-thinking: A proactive approach to exploring and developing new ADAS features, keeping Wayve at the forefront of technological advancement in the industry.
This is a full-time role based in our office in Herzliya. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nIn this pivotal role as a Product Feature Owner, you will take end-to-end responsibility for specific ADAS functionalities, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI. Your focus will be to ensure these features meet customer (OEM) requirements, align with internal capabilities and roadmaps, and are delivered to spec. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards. Your dedication to aligning customer needs with our strategic vision will directly enhance our vehicles’ capabilities and user experience.\n\nKey responsibilities:\n\n - Feature Oversight and Delivery: Take full accountability for specific ADAS features, ensuring on-time delivery and alignment with agreed-upon specifications. Monitor the feature’s lifecycle from concept to production, addressing any deviations promptly.\n\n - Technical Collaboration and Hands-on Engagement: Collaborate with feature group owners and engineering teams to create feature specifications. Engage actively with the teams throughout feature development, providing early feedback, participating in testing, and supporting validation processes.\n\n - Customer Advocacy and Alignment: Deeply understand OEM customer needs and requirements, representing their interests internally without compromising Wayve’s objectives. Harmonise OEM requests across different customers to maximise the development of reusable assets and ensure scalability.\n\n - Cross-functional Communication and Coordination: Serve as the central liaison between OEMs, product teams, and engineering teams for your feature(s). Facilitate streamlined communication and reduce misunderstandings. Participate in agile processes and rituals.\n\n - Risk Mitigation and Strategic Alignment: Proactively identify and address potential issues before they escalate. Maintain and evolve the strategic feature roadmap as our technology progresses towards higher autonomy levels, ensuring alignment with both customer expectations and Wayve’s strategic objectives.\n\n\n\nABOUT YOU \n\nIn order to set you up for success as a Product Feature Owner at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Experience with ADAS Feature Development: Expertise in specifying and facilitating ADAS feature delivery from concept to production, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI, etc.\n\n - Automotive Background: Experience with automotive processes, including requirements management, V-model, ASPICE, quality, and validation.\n\n - Customer Advocacy and Communication Skills: Strong ability to understand and represent OEM customer needs, negotiate requirements, and align expectations between customers and internal teams.\n\n - Technical Competence and Hands-on Approach: Technical understanding of ADAS features, capable of engaging in discussions about trade-offs and feasibility, and actively involved in testing, evaluation, and validation processes.\n\nDesirable \n\n - Experience Shipping ADAS Features into Production: Demonstrated success in delivering complete ADAS features into large-scale production automotive programs.\n\n - Knowledge of Automotive Quality and Safety Standards: Good understanding of automotive quality and safety standards (ASPICE, SOTIF, FuSa, …) as well as the compliance regime around them (GSR-II, DCAS, …)\n\n - Experience with machine learning, LLMs and recent generative AI methods and architectures\n\n - Strong Collaboration Skills: Ability to effectively bridge technical and business perspectives, ensuring clear communication and alignment across teams and stakeholders.\n\n - Innovative and Forward-thinking: A proactive approach to exploring and developing new ADAS features, keeping Wayve at the forefront of technological advancement in the industry.\n\n \n\nThis is a full-time role based in our office in Herzliya. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"9490a20a-d56b-41d3-b03a-d12b385571a9","title":"Office Manager","department":"People & Talent","team":"People & Talent","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-07-29T05:24:32.803+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/9490a20a-d56b-41d3-b03a-d12b385571a9","applyUrl":"https://jobs.ashbyhq.com/wayve/9490a20a-d56b-41d3-b03a-d12b385571a9/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re looking for a highly organised, proactive Office Manager to take ownership of the day-to-day operations of Wayve’s London locations. You’ll be the first point of contact for all things workplace — keeping things running smoothly, creating an exceptional environment for the team, and helping scale our local presence.
This is a hands-on, people-facing role where no two days are the same. You’ll work closely with our global Workplace, IT, and People teams to ensure our London office(s) runs efficiently, reflects our culture, and supports our fast-moving team.
What You’ll Do
Office Operations
Take ownership of the day-to-day operation of the London office, ensuring a safe, efficient and welcoming workplace.
Manage the Reception team, including day-to-day leadership, performance, scheduling, development and maintaining consistently high service standards.
Ensure the office is clean, organised, fully stocked and presented to an exceptional standard at all times.
Manage office supplies, refreshments, stationery and workplace consumables.
Coordinate deliveries, post, courier services and general office logistics.
Liaise with building management, cleaning teams and external suppliers to resolve day-to-day operational issues.
Meeting Rooms & Hospitality
Ensure meeting rooms are fully prepared and presented for internal meetings, executive sessions and customer visits.
Coordinate catering, room set-up and hospitality for meetings and events.
Deliver a seamless visitor experience from arrival through to departure.
Support leadership meetings and customer engagements by ensuring spaces are always ready.
Events & Workplace Experience
Plan and coordinate office events, celebrations and social activities that help build our culture.
Support company events including All Hands, team meetings and other workplace initiatives.
Work closely with the wider Workplace team to deliver an engaging and welcoming office environment.
Be a visible, approachable and trusted point of contact for colleagues.
Facilities & Supplier Management
Coordinate contractors and service providers carrying out work within the office.
Raise and track maintenance requests through to completion.
Support workplace improvement projects and office moves where required.
Build strong relationships with suppliers to ensure consistently high service standards.
Health & Safety
Support compliance with workplace health and safety requirements.
Complete routine workplace inspections and safety checks.
Assist with fire safety, first aid arrangements and emergency preparedness.
Maintain workplace records and report or escalate any issues as appropriate.
General Administration
Support onboarding by preparing desks, lockers, access passes and welcome items.
Manage office access, lockers and workplace resources.
Maintain workplace documentation and records.
Provide administrative support to the wider Workplace team as required.
What We're Looking For
Previous experience managing a busy office, ideally within a fast-paced technology or scaling business.
Experience leading or supervising a Reception or Front of House team.
Highly organised with excellent attention to detail.
A proactive, hands-on approach with the ability to manage multiple priorities.
Excellent communication and relationship-building skills.
Passionate about delivering an outstanding workplace and visitor experience.
Comfortable working independently while collaborating with teams across the business.
Experience managing suppliers and contractors.
Confident using Google Workspace and workplace management tools.
A positive, friendly attitude with a genuine desire to help others
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nWe’re looking for a highly organised, proactive Office Manager to take ownership of the day-to-day operations of Wayve’s London locations. You’ll be the first point of contact for all things workplace — keeping things running smoothly, creating an exceptional environment for the team, and helping scale our local presence.\n\nThis is a hands-on, people-facing role where no two days are the same. You’ll work closely with our global Workplace, IT, and People teams to ensure our London office(s) runs efficiently, reflects our culture, and supports our fast-moving team.\n\nWhat You’ll Do\n\nOffice Operations\nTake ownership of the day-to-day operation of the London office, ensuring a safe, efficient and welcoming workplace.\nManage the Reception team, including day-to-day leadership, performance, scheduling, development and maintaining consistently high service standards.\nEnsure the office is clean, organised, fully stocked and presented to an exceptional standard at all times.\nManage office supplies, refreshments, stationery and workplace consumables.\nCoordinate deliveries, post, courier services and general office logistics.\nLiaise with building management, cleaning teams and external suppliers to resolve day-to-day operational issues.\n\nMeeting Rooms & Hospitality\nEnsure meeting rooms are fully prepared and presented for internal meetings, executive sessions and customer visits.\nCoordinate catering, room set-up and hospitality for meetings and events.\nDeliver a seamless visitor experience from arrival through to departure.\nSupport leadership meetings and customer engagements by ensuring spaces are always ready.\n\nEvents & Workplace Experience\nPlan and coordinate office events, celebrations and social activities that help build our culture.\nSupport company events including All Hands, team meetings and other workplace initiatives.\nWork closely with the wider Workplace team to deliver an engaging and welcoming office environment.\nBe a visible, approachable and trusted point of contact for colleagues. \n\nFacilities & Supplier Management\nCoordinate contractors and service providers carrying out work within the office.\nRaise and track maintenance requests through to completion.\nSupport workplace improvement projects and office moves where required.\nBuild strong relationships with suppliers to ensure consistently high service standards.\n\nHealth & Safety\nSupport compliance with workplace health and safety requirements.\nComplete routine workplace inspections and safety checks.\nAssist with fire safety, first aid arrangements and emergency preparedness.\nMaintain workplace records and report or escalate any issues as appropriate.\n\nGeneral Administration\nSupport onboarding by preparing desks, lockers, access passes and welcome items.\nManage office access, lockers and workplace resources.\nMaintain workplace documentation and records.\nProvide administrative support to the wider Workplace team as required.\n\nWhat We're Looking For\n\nPrevious experience managing a busy office, ideally within a fast-paced technology or scaling business.\nExperience leading or supervising a Reception or Front of House team.\nHighly organised with excellent attention to detail.\nA proactive, hands-on approach with the ability to manage multiple priorities.\nExcellent communication and relationship-building skills.\nPassionate about delivering an outstanding workplace and visitor experience.\nComfortable working independently while collaborating with teams across the business.\nExperience managing suppliers and contractors.\nConfident using Google Workspace and workplace management tools.\nA positive, friendly attitude with a genuine desire to help others\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"185776a5-821a-46aa-85fb-33eb425f09fb","title":"Embedded Software Engineer, Onboard Test Automation","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-07-28T21:01:29.441+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/185776a5-821a-46aa-85fb-33eb425f09fb","applyUrl":"https://jobs.ashbyhq.com/wayve/185776a5-821a-46aa-85fb-33eb425f09fb/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As an Embedded Software Test Engineer at Wayve, you will play a key role in validating onboard software systems before they reach full-vehicle testing. You’ll work across a range of embedded compute platforms and operating systems to ensure software is reliable, integrated, and ready for real-world deployment. This is a high-impact role where your work directly improves software quality and enables faster iteration across multiple teams. You’ll help scale testing by building automated tests and empowering developers to validate their work earlier in the development cycle.
Design, develop, and execute automated tests for onboard software subsystems (OS, middleware, sensors, and integration points)
Validate software behavior on embedded hardware platforms within hardware-in-the-loop environments
Collaborate with software engineers to identify test gaps and build coverage for new and existing features
Debug and triage system-level issues across software and hardware boundaries
Enable developer self-service testing by contributing to CI pipelines and reusable test frameworks
Support expansion of test coverage by leveraging existing validation tests and shifting them earlier in the development cycle
In order to set you up for success as an Embedded Software Test Engineer at Wayve, we’re looking for the following skills and experience.
Experience testing embedded software systems, ideally on Linux or QNX-based platforms
Strong programming skills in Python, C++, or similar languages for test development and automation
Experience working with embedded hardware platforms and understanding hardware/software interactions
Proven ability to debug and triage complex issues across system layers
Understanding of software testing principles, including automation, integration testing, and system validation
Experience with hardware-in-the-loop (HiL) testing environments
Familiarity with sensor systems or data pipelines (e.g., camera, radar, or similar)
Experience working with CI/CD systems (e.g., Buildkite) and test pipeline integration
Exposure to robotics, autonomous systems, or real-time software environments
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs an Embedded Software Test Engineer at Wayve, you will play a key role in validating onboard software systems before they reach full-vehicle testing. You’ll work across a range of embedded compute platforms and operating systems to ensure software is reliable, integrated, and ready for real-world deployment. This is a high-impact role where your work directly improves software quality and enables faster iteration across multiple teams. You’ll help scale testing by building automated tests and empowering developers to validate their work earlier in the development cycle.\n\n\nKEY RESPONSIBILITIES:\n\n - Design, develop, and execute automated tests for onboard software subsystems (OS, middleware, sensors, and integration points)\n\n - Validate software behavior on embedded hardware platforms within hardware-in-the-loop environments\n\n - Collaborate with software engineers to identify test gaps and build coverage for new and existing features\n\n - Debug and triage system-level issues across software and hardware boundaries\n\n - Enable developer self-service testing by contributing to CI pipelines and reusable test frameworks\n\n - Support expansion of test coverage by leveraging existing validation tests and shifting them earlier in the development cycle\n\n\nABOUT YOU \n\nIn order to set you up for success as an Embedded Software Test Engineer at Wayve, we’re looking for the following skills and experience. \n\n\nESSENTIAL \n\n - Experience testing embedded software systems, ideally on Linux or QNX-based platforms\n\n - Strong programming skills in Python, C++, or similar languages for test development and automation\n\n - Experience working with embedded hardware platforms and understanding hardware/software interactions\n\n - Proven ability to debug and triage complex issues across system layers\n\n - Understanding of software testing principles, including automation, integration testing, and system validation\n\n\nDESIRABLE \n\n - Experience with hardware-in-the-loop (HiL) testing environments\n\n - Familiarity with sensor systems or data pipelines (e.g., camera, radar, or similar)\n\n - Experience working with CI/CD systems (e.g., Buildkite) and test pipeline integration\n\n - Exposure to robotics, autonomous systems, or real-time software environments\n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"02ac81ab-1a81-40fc-9465-61f6f03eec7a","title":"Senior Machine Learning Engineer, AI Performance","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-04T14:22:03.050+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/02ac81ab-1a81-40fc-9465-61f6f03eec7a","applyUrl":"https://jobs.ashbyhq.com/wayve/02ac81ab-1a81-40fc-9465-61f6f03eec7a/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
We’re looking for a Senior Machine Learning Engineer to join a high-ownership team responsible for delivering production-ready model releases as our OEM engagements and release cadence accelerate. This is an applied, delivery-focused MLE role—ideal for engineers who love shipping real systems and iterating quickly.
You’ll work on taking models from “works in training” to “meets product constraints,” partnering closely with teams downstream (e.g., inference/performance specialists) to ensure models are ready for deployment on-vehicle. As model capability grows, you’ll help keep the system within tight runtime constraints using a practical model optimisation techniques (e.g., quantisation, distillation, low-rank methods) where appropriate.
Key responsibilities
Own end-to-end delivery of model releases, from initial requirements through training, evaluation, iteration, and final readiness for deployment.
Train and iterate on PyTorch models with a strong experimental approach (hypothesis-driven iteration, ablations, clear evaluation criteria).
Debug and improve model performance using strong analytical skills—identifying regressions, root-causing issues, and proposing fixes.
Apply optimisation techniques (e.g., quantisation and distillation where beneficial), understanding trade-offs and when methods are appropriate.
Collaborate cross-functionally with adjacent ML and performance engineering teams to hand off models, define bottlenecks, and align on optimisation priorities.
Communicate clearly with stakeholders to align on delivery timelines, trade-offs, and readiness criteria.
About you
In order to set you up for success in this role at Wayve, we’re looking for the following skills and experience:
Essential
Proven experience improving performance in production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost).
Strong hands-on experience training and iterating on deep learning models in PyTorch (not just using high-level tooling).
Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly.
Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime execution.
Familiarity with model optimisation concepts such as quantisation and/or distillation (hands-on is a strong signal, but not a strict requirement if the fundamentals are solid).
Ability to reason across multiple levels of abstraction—from high-level model behaviour down to practical runtime/latency implications.
Strong engineering fundamentals and collaboration skills.
Desirable
Experience working on models that must meet tight latency / efficiency constraints (edge, embedded, real-time, or similarly constrained production settings).
Exposure to ML systems spanning training → evaluation → deployment handoff (even if you’re not writing kernels day-to-day).
Exposure to embedded or edge deployment of ML models, including benchmarking on real devices and handling system-level constraints.
#LI-HH1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nWe’re looking for a Senior Machine Learning Engineer to join a high-ownership team responsible for delivering production-ready model releases as our OEM engagements and release cadence accelerate. This is an applied, delivery-focused MLE role—ideal for engineers who love shipping real systems and iterating quickly.\n\nYou’ll work on taking models from “works in training” to “meets product constraints,” partnering closely with teams downstream (e.g., inference/performance specialists) to ensure models are ready for deployment on-vehicle. As model capability grows, you’ll help keep the system within tight runtime constraints using a practical model optimisation techniques (e.g., quantisation, distillation, low-rank methods) where appropriate.\n\nKey responsibilities\n\n - Own end-to-end delivery of model releases, from initial requirements through training, evaluation, iteration, and final readiness for deployment.\n\n - Train and iterate on PyTorch models with a strong experimental approach (hypothesis-driven iteration, ablations, clear evaluation criteria).\n\n - Debug and improve model performance using strong analytical skills—identifying regressions, root-causing issues, and proposing fixes.\n\n - Apply optimisation techniques (e.g., quantisation and distillation where beneficial), understanding trade-offs and when methods are appropriate.\n\n - Collaborate cross-functionally with adjacent ML and performance engineering teams to hand off models, define bottlenecks, and align on optimisation priorities.\n\n - Communicate clearly with stakeholders to align on delivery timelines, trade-offs, and readiness criteria.\n\nAbout you\n\nIn order to set you up for success in this role at Wayve, we’re looking for the following skills and experience:\n\nEssential\n\n - Proven experience improving performance in production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost).\n\n - Strong hands-on experience training and iterating on deep learning models in PyTorch (not just using high-level tooling).\n\n - Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly.\n\n - Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime execution.\n\n - Familiarity with model optimisation concepts such as quantisation and/or distillation (hands-on is a strong signal, but not a strict requirement if the fundamentals are solid).\n\n - Ability to reason across multiple levels of abstraction—from high-level model behaviour down to practical runtime/latency implications.\n\n - Strong engineering fundamentals and collaboration skills.\n\nDesirable\n\n - Experience working on models that must meet tight latency / efficiency constraints (edge, embedded, real-time, or similarly constrained production settings).\n\n - Exposure to ML systems spanning training → evaluation → deployment handoff (even if you’re not writing kernels day-to-day).\n\n - Exposure to embedded or edge deployment of ML models, including benchmarking on real devices and handling system-level constraints.\n\n#LI-HH1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"86bf6af3-b2ce-46be-9228-1437ceb99556","title":"Demo Operator","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Yokohama, Japan","secondaryLocations":[],"publishedAt":"2026-08-23T23:49:35.841+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/86bf6af3-b2ce-46be-9228-1437ceb99556","applyUrl":"https://jobs.ashbyhq.com/wayve/86bf6af3-b2ce-46be-9228-1437ceb99556/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
In this role, you will be responsible for ensuring that our demo operations run smoothly by evaluating and improving the effectiveness of our demo sessions, operational procedures and delivery methods.
Key responsibilities:
Operate and supervise the vehicle safety during demos in real-time, ensuring safety and compliance at all times.
Serve as the on-site point of contact for external guests and internal teams during demo operations.
Prepare vehicles and equipment for demonstration runs.
Provide clear explanations of system capabilities and performance to stakeholders.
Log issues, anomalies, and observations to support engineering and development teams.
Ensure adherence to safety protocols, including interventions when necessary.
Maintain a professional and engaging demeanour as a brand ambassador.
Plan and optimise demo routes, making real-time adjustments based on traffic, road conditions, or audience needs.
Adapt demo content and delivery style based on the audience (e.g., partners, investors, media, technical teams).
Respond flexibly to last-minute changes in plans, routes, or schedules.
Full clean Japanese driving licence.
At least 8 years' driving experience - mainly in Japan.
No blameworthy insurance claims in the past three years.
You remain calm and controlled in a pressured environment.
You take on board feedback and learn from your mistakes, employing a growth mindset to the way you develop yourself.
You enjoy working with people, thriving in a team environment.
You know how to manage your wellbeing including fatigue, stress and have personal, proven strategies to do this
Proven experience as a demo operator or similar role.
Strong leadership and communication skills in a 1:1 capacity, downwards to your team, and upwards and laterally with your other stakeholders.
Ability to work under pressure and manage multiple priorities.
Excellent problem-solving skills and attention to detail.
Deliver clear, structured explanations of system capabilities, limitations, and performance.
Respond decisively to last-minute changes in plans, routes, schedules, or stakeholder expectations.
Proficiency in Google Workspace or Microsoft Office suite.
Excellent written and verbal communication skills.
Strong attention to detail and problem-solving skills.
Excellent time management and organisational skills.
Fluent in English and Japanese.
Prior experience in vehicle testing, AV environments, or technical demonstrations.
Knowledge of AV technology or autonomous systems.
Customer-facing or hospitality experience is a plus.
This role is based onsite at our office in Tokyo and Yokohama - Monday to Friday role during core working hours, though occasional weekend availability may be required for high-priority events, with lieu time provided.
All applications are required to disclose any second job as part of the application process.
All applications will be subject to a health check before/after.
Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy. You will be tested for drugs and alcohol during your onsite interview.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nIn this role, you will be responsible for ensuring that our demo operations run smoothly by evaluating and improving the effectiveness of our demo sessions, operational procedures and delivery methods. \n\nKey responsibilities:\n\n - Operate and supervise the vehicle safety during demos in real-time, ensuring safety and compliance at all times.\n\n - Serve as the on-site point of contact for external guests and internal teams during demo operations.\n\n - Prepare vehicles and equipment for demonstration runs.\n\n - Provide clear explanations of system capabilities and performance to stakeholders.\n\n - Log issues, anomalies, and observations to support engineering and development teams.\n\n - Ensure adherence to safety protocols, including interventions when necessary.\n\n - Maintain a professional and engaging demeanour as a brand ambassador.\n\n - Plan and optimise demo routes, making real-time adjustments based on traffic, road conditions, or audience needs.\n\n - Adapt demo content and delivery style based on the audience (e.g., partners, investors, media, technical teams).\n\n - Respond flexibly to last-minute changes in plans, routes, or schedules.\n\n\nABOUT YOU\n\n\nESSENTIALS:\n\n - Full clean Japanese driving licence.\n\n - At least 8 years' driving experience - mainly in Japan.\n\n - No blameworthy insurance claims in the past three years.\n\n - You remain calm and controlled in a pressured environment.\n\n - You take on board feedback and learn from your mistakes, employing a growth mindset to the way you develop yourself.\n\n - You enjoy working with people, thriving in a team environment.\n\n - You know how to manage your wellbeing including fatigue, stress and have personal, proven strategies to do this\n\n - Proven experience as a demo operator or similar role.\n\n - Strong leadership and communication skills in a 1:1 capacity, downwards to your team, and upwards and laterally with your other stakeholders.\n\n - Ability to work under pressure and manage multiple priorities.\n\n - Excellent problem-solving skills and attention to detail.\n\n - Deliver clear, structured explanations of system capabilities, limitations, and performance.\n\n - Respond decisively to last-minute changes in plans, routes, schedules, or stakeholder expectations.\n\n - Proficiency in Google Workspace or Microsoft Office suite.\n\n - Excellent written and verbal communication skills.\n\n - Strong attention to detail and problem-solving skills.\n\n - Excellent time management and organisational skills.\n\n - Fluent in English and Japanese.\n\n \n\n\nDESIRABLE:\n\n - Prior experience in vehicle testing, AV environments, or technical demonstrations.\n\n - Knowledge of AV technology or autonomous systems.\n\n - Customer-facing or hospitality experience is a plus.\n\n\nADDITIONAL REQUIREMENTS:\n\n - This role is based onsite at our office in Tokyo and Yokohama - Monday to Friday role during core working hours, though occasional weekend availability may be required for high-priority events, with lieu time provided.\n\n - All applications are required to disclose any second job as part of the application process.\n\n - All applications will be subject to a health check before/after. \n\n - Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy. You will be tested for drugs and alcohol during your onsite interview.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"9c2dad22-51fb-4407-b1f9-4323d9a36199","title":"Site Reliability Engineering Manager, Vehicle Software","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-25T20:00:30.672+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/9c2dad22-51fb-4407-b1f9-4323d9a36199","applyUrl":"https://jobs.ashbyhq.com/wayve/9c2dad22-51fb-4407-b1f9-4323d9a36199/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As SRE Manager, you'll build the Vehicle Software SRE team from the ground up — defining its charter, hiring its founding engineers, establishing the operating model, and creating the technical strategy that makes reliability a first-class property of the software running on our vehicles.
You'll work in a production environment unlike most: a globally distributed fleet of autonomous vehicles operating at the intersection of software, hardware, networking, sensors, and the physical world. Failures are often intermittent, hard to reproduce, and distributed across ownership boundaries. You'll move reliability upstream — from reactive field support to prevention through architecture, automation, observability, and disciplined production readiness.
You'll embed your team within Vehicle Software, partnering with product teams who retain ownership of what they build while your team provides the reliability engineering, standards, and leverage that help them operate fleet-critical software safely at scale. You'll stay hands-on throughout — writing code, reviewing critical designs, and leading the investigations that matter most.
The systems you help harden will connect Wayve's AI to physical vehicles and underpin the transition from engineering fleets to commercial operations. Few engineering leadership roles offer this combination of zero-to-one team building, deep systems work, and direct influence on the safety and scalability of autonomous mobility.
Team building & leadership :Build and lead a new SRE team from the ground up, staying hands-on as a player-coach on the team's most consequential work.
Reliability strategy: Own technical direction for vehicle software reliability across deployment, service health, telemetry, and diagnostics; define what production-ready means at Wayve.
Production readiness: Define SLIs, SLOs, and error budgets for fleet-critical workflows; drive release criteria, automated gates, rollback strategies, and fault-injection practices across Vehicle Software.
Observability & tooling: Design and implement the observability and automation that shortens the path from vehicle symptom to root cause, cuts the manual toil between failure and fix, and shapes systems for robustness, recoverability, and debuggability.
Incident response: Lead investigations into complex failures, ensure every incident produces a durable fix, and strengthen on-call practices and escalation paths across service-owning teams.
Mentorship & communication: Mentor engineers and emerging leaders, and give senior leadership the clarity on reliability health, risks, and investment they need to make good decisions.
Essential
8+ years building and operating production software systems with strong depth in SRE, production engineering, platform engineering, embedded systems, or robotics, and a recent track record of writing production-quality code and leading architecture reviews across Linux-based, distributed, or hardware-software systems.
3+ years in people leadership with a track record of hiring, coaching, and growing engineers across levels while staying actively engaged in coding, design, and code review; experience forming a new team or capability from scratch is a strong plus.
Proven experience with SLOs, error budgets, production-readiness standards, observability, incident management, postmortems, and toil-reduction programmes, with measurable outcomes to show for it.
A track record of turning ambiguous, cross-functional problems into clear ownership, sequenced plans, and reliable delivery without relying on formal authority.
Hands-on experience building production software, automation, and diagnostic tooling in C++, Rust, Python, or Go, with familiarity with CI/CD, release systems, telemetry pipelines, and modern observability tooling.
Calm and structured during incidents, with clear communication across software, hardware, operations, product, and executive stakeholders; a leadership approach grounded in ownership, blameless learning, and autonomy with accountability.
Desirable
Experience with autonomous vehicles, robotics, automotive software, safety-critical systems, or cyber-physical products deployed into uncontrolled real-world environments.
Knowledge of onboard compute, sensors, middleware, vehicle networks, OTA deployment, data capture and offload, or multi-variant hardware-software integration.
Experience improving reliability through the transition from research and prototype systems to commercial, multi-market operations.
Experience partnering with fleet operations, field engineering, validation, hardware, or external vehicle and technology partners.
In the first 90 days, you have aligned the charter and ownership model, established a reliability baseline, mapped the highest-risk systems and workflows, defined the hiring plan, and personally contributed design, code, or tooling to deliver early reliability wins.
Within six months, the founding team is operating effectively inside priority Vehicle Software domains, with clearer service ownership, stronger observability, improved runbooks and escalation paths, and initial automated prevention and release controls in production; you remain a trusted technical contributor through design, coding, and code review.
Over 6-12 months, repeat incidents, mean time to detect, mean time to recover, and unowned escalations are trending down, while deployment success, vehicle readiness, data-collection reliability, and safe fleet availability are improving against the baseline.
Vehicle Software teams are increasingly able to own and operate their systems reliably, with SRE acting as a force multiplier rather than a permanent support queue.
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
The reasonably estimated salary for this role ranges from $276,100 - $311,400 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs SRE Manager, you'll build the Vehicle Software SRE team from the ground up — defining its charter, hiring its founding engineers, establishing the operating model, and creating the technical strategy that makes reliability a first-class property of the software running on our vehicles.\n\nYou'll work in a production environment unlike most: a globally distributed fleet of autonomous vehicles operating at the intersection of software, hardware, networking, sensors, and the physical world. Failures are often intermittent, hard to reproduce, and distributed across ownership boundaries. You'll move reliability upstream — from reactive field support to prevention through architecture, automation, observability, and disciplined production readiness.\n\nYou'll embed your team within Vehicle Software, partnering with product teams who retain ownership of what they build while your team provides the reliability engineering, standards, and leverage that help them operate fleet-critical software safely at scale. You'll stay hands-on throughout — writing code, reviewing critical designs, and leading the investigations that matter most.\n\nThe systems you help harden will connect Wayve's AI to physical vehicles and underpin the transition from engineering fleets to commercial operations. Few engineering leadership roles offer this combination of zero-to-one team building, deep systems work, and direct influence on the safety and scalability of autonomous mobility.\n\n \n\n\nKEY RESPONSIBILITIES\n\n - Team building & leadership :Build and lead a new SRE team from the ground up, staying hands-on as a player-coach on the team's most consequential work.\n\n - Reliability strategy: Own technical direction for vehicle software reliability across deployment, service health, telemetry, and diagnostics; define what production-ready means at Wayve.\n\n - Production readiness: Define SLIs, SLOs, and error budgets for fleet-critical workflows; drive release criteria, automated gates, rollback strategies, and fault-injection practices across Vehicle Software.\n\n - Observability & tooling: Design and implement the observability and automation that shortens the path from vehicle symptom to root cause, cuts the manual toil between failure and fix, and shapes systems for robustness, recoverability, and debuggability.\n\n - Incident response: Lead investigations into complex failures, ensure every incident produces a durable fix, and strengthen on-call practices and escalation paths across service-owning teams.\n\n - Mentorship & communication: Mentor engineers and emerging leaders, and give senior leadership the clarity on reliability health, risks, and investment they need to make good decisions.\n\n \n\n\nABOUT YOU\n\nEssential\n\n - 8+ years building and operating production software systems with strong depth in SRE, production engineering, platform engineering, embedded systems, or robotics, and a recent track record of writing production-quality code and leading architecture reviews across Linux-based, distributed, or hardware-software systems.\n\n - 3+ years in people leadership with a track record of hiring, coaching, and growing engineers across levels while staying actively engaged in coding, design, and code review; experience forming a new team or capability from scratch is a strong plus.\n\n - Proven experience with SLOs, error budgets, production-readiness standards, observability, incident management, postmortems, and toil-reduction programmes, with measurable outcomes to show for it.\n\n - A track record of turning ambiguous, cross-functional problems into clear ownership, sequenced plans, and reliable delivery without relying on formal authority.\n\n - Hands-on experience building production software, automation, and diagnostic tooling in C++, Rust, Python, or Go, with familiarity with CI/CD, release systems, telemetry pipelines, and modern observability tooling.\n\n - Calm and structured during incidents, with clear communication across software, hardware, operations, product, and executive stakeholders; a leadership approach grounded in ownership, blameless learning, and autonomy with accountability.\n\n \n\nDesirable\n\n - Experience with autonomous vehicles, robotics, automotive software, safety-critical systems, or cyber-physical products deployed into uncontrolled real-world environments.\n\n - Knowledge of onboard compute, sensors, middleware, vehicle networks, OTA deployment, data capture and offload, or multi-variant hardware-software integration.\n\n - Experience improving reliability through the transition from research and prototype systems to commercial, multi-market operations.\n\n - Experience partnering with fleet operations, field engineering, validation, hardware, or external vehicle and technology partners.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - In the first 90 days, you have aligned the charter and ownership model, established a reliability baseline, mapped the highest-risk systems and workflows, defined the hiring plan, and personally contributed design, code, or tooling to deliver early reliability wins.\n\n - Within six months, the founding team is operating effectively inside priority Vehicle Software domains, with clearer service ownership, stronger observability, improved runbooks and escalation paths, and initial automated prevention and release controls in production; you remain a trusted technical contributor through design, coding, and code review.\n\n - Over 6-12 months, repeat incidents, mean time to detect, mean time to recover, and unowned escalations are trending down, while deployment success, vehicle readiness, data-collection reliability, and safe fleet availability are improving against the baseline.\n\n - Vehicle Software teams are increasingly able to own and operate their systems reliably, with SRE acting as a force multiplier rather than a permanent support queue.\n\n \n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nThe reasonably estimated salary for this role ranges from $276,100 - $311,400 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"899ffd0d-8ea5-4c1e-9c9c-5661a36c34e2","title":"Principal Research Scientist, Robot Foundation Model","department":"Wayve Labs","team":"Wayve Labs","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-06T09:23:33.861+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/899ffd0d-8ea5-4c1e-9c9c-5661a36c34e2","applyUrl":"https://jobs.ashbyhq.com/wayve/899ffd0d-8ea5-4c1e-9c9c-5661a36c34e2/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Role
We are looking for a Principal Research Scientist to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member.
MEGA is building foundation models for general-purpose robots beyond self-driving vehicles. Our focus is on creating intelligent agents that can perceive, reason, move and manipulate the physical world across diverse embodiments, including mobile manipulators, dual-arm platforms and humanoids.
This is a senior, high-impact role with genuine 0→1 ownership. You will help define the research agenda, technical strategy and foundations of a new robotics program, working alongside world-class researchers in foundation models, embodied intelligence and large-scale machine learning.
You will have the opportunity to work across the entire robot-learning stack: building scalable data flywheels, developing new model architectures and learning algorithms, training large models, designing rigorous evaluations and deploying policies on real robots. The goal is work on compelling and publishable research, but also to turn it into systems that demonstrate increasingly general, robust and useful behavior in the physical world.
Your day-to-day work may span vision-language-action models, world and action models, multimodal and omni models, video generation, reinforcement learning, imitation learning and behavioral cloning. You will work with large-scale video and robotics datasets, distributed training infrastructure and a growing fleet of physical platforms.
You will collaborate closely with researchers, ML engineers, roboticists and hardware teams to move ambitious ideas rapidly from research hypotheses to large-scale experiments and impressive real-world capabilities.
This is a rare opportunity to help build a general robotics effort from the ground up—combining frontier foundation-model research with the immediacy and complexity of intelligence embodied in real machines.
Key Responsibilities
Lead research into architectures, data and learning approaches for robot foundation models.
Design, implement and evaluate models such as VLAs, WAMs, omni-modal models, video models and related foundation-model architectures for robotics.
Explore and develop learning approaches including reinforcement learning, behavioural cloning and other methods relevant to robot policy development.
Synthesize, curate and filter large-scale video datasets for model training and evaluation.
Build and use scalable distributed training pipelines and infrastructure for large models and large datasets.
Influence and/or own technical decisions around robot policy development, data strategy and model design.
Collaborate closely with scientists, engineers and robotics teams to connect research progress to real-world robot performance.
Communicate research clearly internally and, where appropriate, contribute to external publications and Wayve’s scientific presence.
About You
In order to set you up for success as a Principal Research Scientist at Wayve, we’re looking for the following skills and experience.
Essential
Deep experience in machine learning, with focus in one or more of: vision-language models, video models, robot policies, foundation models for robotics or embodied AI.
Experience with scalable training, such as multi-node training, large datasets and/or large model training.
Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML or ICLR.
Strong coding skills and hands-on experience with modern machine learning frameworks.
Ability to design and drive an independent research agenda while collaborating closely with engineering and robotics teams.
Experience translating research ideas into working systems, experiments or deployed capabilities.
Strong communication skills and the ability to influence technical direction across teams.
Desirable
PhD in Computer Science, Machine Learning, Robotics, Computer Vision or a related technical field.
5+ years of relevant industry experience.
Experience with real robots, robotic learning, embodied AI, simulation or policy learning.
Experience working with large-scale video data and sequential decision-making systems.
Experience mentoring researchers or leading technical workstreams.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $407,000 to 512,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe Role\n\nWe are looking for a Principal Research Scientist to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member.\n\nMEGA is building foundation models for general-purpose robots beyond self-driving vehicles. Our focus is on creating intelligent agents that can perceive, reason, move and manipulate the physical world across diverse embodiments, including mobile manipulators, dual-arm platforms and humanoids.\n\nThis is a senior, high-impact role with genuine 0→1 ownership. You will help define the research agenda, technical strategy and foundations of a new robotics program, working alongside world-class researchers in foundation models, embodied intelligence and large-scale machine learning.\n\nYou will have the opportunity to work across the entire robot-learning stack: building scalable data flywheels, developing new model architectures and learning algorithms, training large models, designing rigorous evaluations and deploying policies on real robots. The goal is work on compelling and publishable research, but also to turn it into systems that demonstrate increasingly general, robust and useful behavior in the physical world.\n\nYour day-to-day work may span vision-language-action models, world and action models, multimodal and omni models, video generation, reinforcement learning, imitation learning and behavioral cloning. You will work with large-scale video and robotics datasets, distributed training infrastructure and a growing fleet of physical platforms.\n\nYou will collaborate closely with researchers, ML engineers, roboticists and hardware teams to move ambitious ideas rapidly from research hypotheses to large-scale experiments and impressive real-world capabilities.\n\nThis is a rare opportunity to help build a general robotics effort from the ground up—combining frontier foundation-model research with the immediacy and complexity of intelligence embodied in real machines.\n\nKey Responsibilities\n\n - Lead research into architectures, data and learning approaches for robot foundation models.\n\n - Design, implement and evaluate models such as VLAs, WAMs, omni-modal models, video models and related foundation-model architectures for robotics.\n\n - Explore and develop learning approaches including reinforcement learning, behavioural cloning and other methods relevant to robot policy development.\n\n - Synthesize, curate and filter large-scale video datasets for model training and evaluation.\n\n - Build and use scalable distributed training pipelines and infrastructure for large models and large datasets.\n\n - Influence and/or own technical decisions around robot policy development, data strategy and model design.\n\n - Collaborate closely with scientists, engineers and robotics teams to connect research progress to real-world robot performance.\n\n - Communicate research clearly internally and, where appropriate, contribute to external publications and Wayve’s scientific presence.\n\nAbout You\n\nIn order to set you up for success as a Principal Research Scientist at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Deep experience in machine learning, with focus in one or more of: vision-language models, video models, robot policies, foundation models for robotics or embodied AI.\n\n - Experience with scalable training, such as multi-node training, large datasets and/or large model training.\n\n - Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML or ICLR.\n\n - Strong coding skills and hands-on experience with modern machine learning frameworks.\n\n - Ability to design and drive an independent research agenda while collaborating closely with engineering and robotics teams.\n\n - Experience translating research ideas into working systems, experiments or deployed capabilities.\n\n - Strong communication skills and the ability to influence technical direction across teams.\n\nDesirable\n\n - PhD in Computer Science, Machine Learning, Robotics, Computer Vision or a related technical field.\n\n - 5+ years of relevant industry experience.\n\n - Experience with real robots, robotic learning, embodied AI, simulation or policy learning.\n\n - Experience working with large-scale video data and sequential decision-making systems.\n\n - Experience mentoring researchers or leading technical workstreams.\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $407,000 to 512,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.\n\n\n\n\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"f33c7ed1-b269-49d3-9eaf-55a3b08be1ec","title":"Principal Engineer, Embedded Vehicle Software","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-06T15:49:25.582+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/f33c7ed1-b269-49d3-9eaf-55a3b08be1ec","applyUrl":"https://jobs.ashbyhq.com/wayve/f33c7ed1-b269-49d3-9eaf-55a3b08be1ec/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is building the next generation of autonomous driving technology: intelligent, adaptable, and software-defined. As Principal Engineer, Embedded Software Architecture, you will be the hands-on technical leader who defines and leads the architecture of our vehicle software platform, powering the AI systems that bring autonomy to life.
You will work with the most advanced embedded compute platforms from NVIDIA, Qualcomm, and other leading partners, defining how our operating systems, middleware, and hardware abstraction layers come together to enable scalable, efficient, and safe vehicle software.
This is a deeply technical role where you’ll stay close to the code, prototype solutions, review critical components, and directly influence system performance and reliability. You will also shape technical direction across teams and act as a senior representative of Wayve in external technical discussions with OEM and silicon partners.
Key Responsibilities
Design and evolve the embedded software architecture for Wayve’s next-generation autonomy platform.
Develop and guide hands-on prototypes and reference implementations that demonstrate key architectural decisions.
Analyze and optimize system performance, reliability, and scalability across the embedded stack.
Collaborate cross-functionally with internal AI, platform, and vehicle systems teams, and with external partners including NVIDIA, Qualcomm, and OEMs.
Drive the adoption of modern development practices, tools, and standards for high-assurance embedded software.
Mentor senior engineers through technical reviews and joint design work — leading through technical depth and influence, not headcount.
Represent Wayve as the principal technical voice in discussions with partners and customers on software and hardware architecture.
You are a seasoned systems architect with deep technical roots in embedded software, who still enjoys staying close to the technology. You’re comfortable diving into system-level details, whether debugging a performance issue, reviewing C++ code, or defining middleware interfaces, while also maintaining the architectural perspective to guide large-scale systems.
You’ve successfully delivered complex, high-performance, or safety-critical software systems into production, and you’re used to operating at the scale and rigor of Big Tech or high-end automotive programs.
15+ years in software and systems engineering, with strong expertise in embedded systems for robotics, automotive, or similar domains.
Demonstrated hands-on software development experience in C/C++, with familiarity in Python or Rust.
Proven ability to deliver large-scale systems to production, with deep involvement in architecture, design, and code.
Expertise in system performance analysis, optimization, and debugging.
Experience leading through technical influence — shaping teams of 25+ engineers and impacting organizations of 100+ engineers.
Ability to represent the company in external technical discussions with OEMs, chip vendors, and partners.
Automotive or safety-critical software experience.
Familiarity with NVIDIA Drive platforms (Orin, DriveOS, DriveWorks).
Experience with automotive software frameworks (e.g. AUTOSAR).
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $347,500 to $457,900, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWayve is building the next generation of autonomous driving technology: intelligent, adaptable, and software-defined. As Principal Engineer, Embedded Software Architecture, you will be the hands-on technical leader who defines and leads the architecture of our vehicle software platform, powering the AI systems that bring autonomy to life.\n\nYou will work with the most advanced embedded compute platforms from NVIDIA, Qualcomm, and other leading partners, defining how our operating systems, middleware, and hardware abstraction layers come together to enable scalable, efficient, and safe vehicle software.\n\nThis is a deeply technical role where you’ll stay close to the code, prototype solutions, review critical components, and directly influence system performance and reliability. You will also shape technical direction across teams and act as a senior representative of Wayve in external technical discussions with OEM and silicon partners.\n\n\n\nKey Responsibilities\n\n - Design and evolve the embedded software architecture for Wayve’s next-generation autonomy platform.\n\n - Develop and guide hands-on prototypes and reference implementations that demonstrate key architectural decisions.\n\n - Analyze and optimize system performance, reliability, and scalability across the embedded stack.\n\n - Collaborate cross-functionally with internal AI, platform, and vehicle systems teams, and with external partners including NVIDIA, Qualcomm, and OEMs.\n\n - Drive the adoption of modern development practices, tools, and standards for high-assurance embedded software.\n\n - Mentor senior engineers through technical reviews and joint design work — leading through technical depth and influence, not headcount.\n\n - Represent Wayve as the principal technical voice in discussions with partners and customers on software and hardware architecture.\n\n \n\n\nABOUT YOU\n\nYou are a seasoned systems architect with deep technical roots in embedded software, who still enjoys staying close to the technology. You’re comfortable diving into system-level details, whether debugging a performance issue, reviewing C++ code, or defining middleware interfaces, while also maintaining the architectural perspective to guide large-scale systems.\n\nYou’ve successfully delivered complex, high-performance, or safety-critical software systems into production, and you’re used to operating at the scale and rigor of Big Tech or high-end automotive programs.\n\n\nESSENTIAL EXPERIENCE\n\n - 15+ years in software and systems engineering, with strong expertise in embedded systems for robotics, automotive, or similar domains.\n\n - Demonstrated hands-on software development experience in C/C++, with familiarity in Python or Rust.\n\n - Proven ability to deliver large-scale systems to production, with deep involvement in architecture, design, and code.\n\n - Expertise in system performance analysis, optimization, and debugging.\n\n - Experience leading through technical influence — shaping teams of 25+ engineers and impacting organizations of 100+ engineers.\n\n - Ability to represent the company in external technical discussions with OEMs, chip vendors, and partners.\n\n\nDESIRABLE EXPERIENCE\n\n - Automotive or safety-critical software experience.\n\n - Familiarity with NVIDIA Drive platforms (Orin, DriveOS, DriveWorks).\n\n - Experience with automotive software frameworks (e.g. AUTOSAR).\n\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $347,500 to $457,900, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\n\n\n\n \n \n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"94def61c-9c03-4920-b78e-ce514f08e798","title":"Research Scientist, Robot Foundation Model","department":"Wayve Labs","team":"Wayve Labs","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-06T09:25:29.995+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/94def61c-9c03-4920-b78e-ce514f08e798","applyUrl":"https://jobs.ashbyhq.com/wayve/94def61c-9c03-4920-b78e-ce514f08e798/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Role
We are looking for a Research Scientist to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member.
MEGA is building foundation models for general-purpose robots beyond not self-driving vehicles. Our goal is to create intelligent agents that can perceive, reason, move and manipulate the physical world across diverse embodiments, including mobile manipulators, dual-arm platforms and humanoids.
This is a rare opportunity to help build a new robotics program from the ground up while working closely with experienced researchers in foundation models, embodied intelligence and large-scale machine learning. You will have meaningful ownership of research projects, contribute to the team’s technical direction and see your ideas tested on real robotic systems.
You will work across the robot-learning stack: developing model architectures and learning algorithms, building scalable data and training pipelines, designing evaluations and deploying policies on physical robots. The goal is to produce both strong research and increasingly general, robust and useful real-world capabilities.
Your day-to-day work may span vision-language-action models, world and action models, multimodal and omni models, video models, reinforcement learning, imitation learning and behavioral cloning. You will work with large-scale video and robotics datasets, distributed training infrastructure and a growing fleet of robotic platforms.
You will collaborate with research scientists, ML engineers, roboticists and hardware teams to turn promising ideas into large-scale experiments and compelling robot demonstrations. The role offers substantial room to learn, grow and develop expertise across both frontier machine learning and real-world robotics.
This is a rare opportunity to work on general robotics at the foundation-model frontier and help shape intelligent systems that act in the physical world.
Key Responsibilities
Research model architectures, data and learning approaches for robot foundation models.
Design, implement and evaluate models such as VLAs, WAMs, omni-modal models, video models and related foundation-model architectures for robotics.
Explore and develop learning approaches including reinforcement learning, behavioural cloning and other methods relevant to robot policy development.
Synthesize, curate and filter large-scale video datasets for model training and evaluation.
Build and use scalable distributed training pipelines and infrastructure for large models and large datasets.
Collaborate closely with scientists, engineers and robotics teams to connect research progress to real-world robot performance.
Communicate research clearly internally and, where appropriate, contribute to external publications and Wayve’s scientific presence.
About You
In order to set you up for success as a Research Scientist at Wayve, we’re looking for the following skills and experience.
Essential
Experience in machine learning, with focus in one or more of: vision-language models, video models, robot policies, foundation models for robotics or embodied AI.
Experience with scalable training, such as multi-node training, large datasets and/or large model training.
Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML or ICLR.
Strong coding skills and hands-on experience with modern machine learning frameworks.
Ability to design and run rigorous experiments while collaborating closely with engineering and robotics teams.
Experience translating research ideas into working systems, experiments or deployed capabilities.
Strong communication skills and the ability to share research clearly across teams.
Desirable
PhD or MS in Computer Science, Machine Learning, Robotics, Computer Vision or a related technical field.
Industry experience in machine learning, robotics, embodied AI or related applied research environments.
Experience with real robots, robotic learning, embodied AI, simulation or policy learning.
Experience working with large-scale video data and sequential decision-making systems.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $370.000 to 419,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe Role\n\nWe are looking for a Research Scientist to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member.\n\nMEGA is building foundation models for general-purpose robots beyond not self-driving vehicles. Our goal is to create intelligent agents that can perceive, reason, move and manipulate the physical world across diverse embodiments, including mobile manipulators, dual-arm platforms and humanoids.\n\nThis is a rare opportunity to help build a new robotics program from the ground up while working closely with experienced researchers in foundation models, embodied intelligence and large-scale machine learning. You will have meaningful ownership of research projects, contribute to the team’s technical direction and see your ideas tested on real robotic systems.\n\nYou will work across the robot-learning stack: developing model architectures and learning algorithms, building scalable data and training pipelines, designing evaluations and deploying policies on physical robots. The goal is to produce both strong research and increasingly general, robust and useful real-world capabilities.\n\nYour day-to-day work may span vision-language-action models, world and action models, multimodal and omni models, video models, reinforcement learning, imitation learning and behavioral cloning. You will work with large-scale video and robotics datasets, distributed training infrastructure and a growing fleet of robotic platforms.\n\nYou will collaborate with research scientists, ML engineers, roboticists and hardware teams to turn promising ideas into large-scale experiments and compelling robot demonstrations. The role offers substantial room to learn, grow and develop expertise across both frontier machine learning and real-world robotics.\n\nThis is a rare opportunity to work on general robotics at the foundation-model frontier and help shape intelligent systems that act in the physical world.\n\nKey Responsibilities\n\n - Research model architectures, data and learning approaches for robot foundation models.\n\n - Design, implement and evaluate models such as VLAs, WAMs, omni-modal models, video models and related foundation-model architectures for robotics.\n\n - Explore and develop learning approaches including reinforcement learning, behavioural cloning and other methods relevant to robot policy development.\n\n - Synthesize, curate and filter large-scale video datasets for model training and evaluation.\n\n - Build and use scalable distributed training pipelines and infrastructure for large models and large datasets.\n\n - Collaborate closely with scientists, engineers and robotics teams to connect research progress to real-world robot performance.\n\n - Communicate research clearly internally and, where appropriate, contribute to external publications and Wayve’s scientific presence.\n\nAbout You\n\nIn order to set you up for success as a Research Scientist at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Experience in machine learning, with focus in one or more of: vision-language models, video models, robot policies, foundation models for robotics or embodied AI.\n\n - Experience with scalable training, such as multi-node training, large datasets and/or large model training.\n\n - Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML or ICLR.\n\n - Strong coding skills and hands-on experience with modern machine learning frameworks.\n\n - Ability to design and run rigorous experiments while collaborating closely with engineering and robotics teams.\n\n - Experience translating research ideas into working systems, experiments or deployed capabilities.\n\n - Strong communication skills and the ability to share research clearly across teams.\n\nDesirable\n\n - PhD or MS in Computer Science, Machine Learning, Robotics, Computer Vision or a related technical field.\n\n - Industry experience in machine learning, robotics, embodied AI or related applied research environments.\n\n - Experience with real robots, robotic learning, embodied AI, simulation or policy learning.\n\n - Experience working with large-scale video data and sequential decision-making systems.\n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $370.000 to 419,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"bdc71f1e-a23a-45e3-90eb-73a657b14a13","title":"Roboticist, Robot Foundation Model","department":"Wayve Labs","team":"Wayve Labs","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-07T21:07:25.474+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/bdc71f1e-a23a-45e3-90eb-73a657b14a13","applyUrl":"https://jobs.ashbyhq.com/wayve/bdc71f1e-a23a-45e3-90eb-73a657b14a13/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are looking for a Roboticist to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Labs as a founding member.
MEGA is building foundation models for general-purpose robots beyond self-driving vehicles. Our focus is on creating intelligent agents that can perceive, reason, move and manipulate the physical world across diverse embodiments, including mobile manipulators, dual-arm platforms and humanoids.
This is a high-impact role with genuine 0→1 ownership. You will have the opportunity to work across the entire robot stack: you will select, build, integrate, and maintain robot hardware; develop the software needed to deploy and test robot policies; and work closely with research teams to shape data collection, model evaluation, and the learning loop. The goal is work on compelling and publishable research, but also to turn it into systems that demonstrate increasingly general, robust and useful behavior in the physical world.
You will collaborate closely with researchers, ML engineers, roboticists and hardware teams to move ambitious ideas rapidly from research hypotheses to large-scale experiments and impressive real-world capabilities.
This is a rare opportunity to help build a general robotics effort from the ground up—combining frontier foundation-model research with the immediacy and complexity of intelligence embodied in real machines.
Build, maintain, and operate robot hardware for research and deployment experiments.
Implement and maintain C++ and Python robot software, including control, planning, and ROS/ROS2-based systems.
Develop infrastructure for policy deployment, data collection, and the robot learning data flywheel.
Run experiments on robots and define data collection pilots that accelerate model development.
Debug and troubleshoot robotic software, hardware, and policy failures in lab environments.
Build comprehensive deployment and regression tests to improve reliability and repeatability.
Experience in robot manipulation; working with robot hardware.
Experience with C++ and Python in robotics or ML environments.
Strong robotics and machine learning fundamentals, with the ability to translate research into robust systems.
Publications in top-tier conferences such as ICRA, CoRL, or IROS are highly valued.
PhD preferred; MS acceptable with strong relevant experience.
Join a new, well-resourced effort at the intersection of foundation models and robotics.
Work on generalist robot models and help build the full flywheel around data, architecture, deployment, and evaluation.
Work with real robots at serious scale.
Own meaningful 0→1 technical scope in a fast-moving research environment.
Help define how foundation model research becomes reliable embodied intelligence.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $184,200 to 240,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nABOUT THE ROLE\n\nWe are looking for a Roboticist to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Labs as a founding member.\n\nMEGA is building foundation models for general-purpose robots beyond self-driving vehicles. Our focus is on creating intelligent agents that can perceive, reason, move and manipulate the physical world across diverse embodiments, including mobile manipulators, dual-arm platforms and humanoids.\n\nThis is a high-impact role with genuine 0→1 ownership. You will have the opportunity to work across the entire robot stack: you will select, build, integrate, and maintain robot hardware; develop the software needed to deploy and test robot policies; and work closely with research teams to shape data collection, model evaluation, and the learning loop. The goal is work on compelling and publishable research, but also to turn it into systems that demonstrate increasingly general, robust and useful behavior in the physical world.\n\nYou will collaborate closely with researchers, ML engineers, roboticists and hardware teams to move ambitious ideas rapidly from research hypotheses to large-scale experiments and impressive real-world capabilities.\n\nThis is a rare opportunity to help build a general robotics effort from the ground up—combining frontier foundation-model research with the immediacy and complexity of intelligence embodied in real machines.\n\n\nWHAT YOU’LL DO\n\n - Build, maintain, and operate robot hardware for research and deployment experiments.\n\n - Implement and maintain C++ and Python robot software, including control, planning, and ROS/ROS2-based systems.\n\n - Develop infrastructure for policy deployment, data collection, and the robot learning data flywheel.\n\n - Run experiments on robots and define data collection pilots that accelerate model development.\n\n - Debug and troubleshoot robotic software, hardware, and policy failures in lab environments.\n\n - Build comprehensive deployment and regression tests to improve reliability and repeatability.\n\n\nWHAT WE’RE LOOKING FOR\n\n - Experience in robot manipulation; working with robot hardware.\n\n - Experience with C++ and Python in robotics or ML environments.\n\n - Strong robotics and machine learning fundamentals, with the ability to translate research into robust systems.\n\n - Publications in top-tier conferences such as ICRA, CoRL, or IROS are highly valued.\n\n - PhD preferred; MS acceptable with strong relevant experience.\n\n\nWHAT MAKES THIS ROLE EXCITING\n\n - Join a new, well-resourced effort at the intersection of foundation models and robotics.\n\n - Work on generalist robot models and help build the full flywheel around data, architecture, deployment, and evaluation.\n\n - Work with real robots at serious scale.\n\n - Own meaningful 0→1 technical scope in a fast-moving research environment.\n\n - Help define how foundation model research becomes reliable embodied intelligence.\n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $184,200 to 240,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"db8419d7-904f-4ed3-8293-6ec4f1627e02","title":"Technical Operations Manager","department":"Commercial & Operations","team":"Commercial & Operations","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-05-12T21:54:58.222+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/db8419d7-904f-4ed3-8293-6ec4f1627e02","applyUrl":"https://jobs.ashbyhq.com/wayve/db8419d7-904f-4ed3-8293-6ec4f1627e02/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We're looking for a Technical Operations Manager to join Wayve's Technical Operations function, acting as the critical bridge between Science, Product, Engineering, and Operations. This role is ideal for someone who thrives in dynamic, high-growth environments and has proven experience translating complex technical strategies into actionable field operations.
You'll lead critical testing and demonstration programs across our global operations—spanning roadshow campaigns, customer-specific programs, and on-road validation activities—working cross-functionally to ensure structured feedback loops between field operations and development teams. This role is key to our transformation from an R&D-focused operation to a world-class, delivery-grade commercial AV organization that can execute seamlessly with customers and partners.
Key responsibilities:
Technical and Operations Enablement: Convert high-level program plans into clear, actionable on-road plans in partnership with Fleet Operations leadership, ensuring alignment on scheduling, safety, and operational feasibility across diverse testing requirements.
Testing and Validation: Lead execution across internal-facing and external-facing programs, coordinating between technical teams and operations to ensure seamless testing and validation execution while maintaining safety protocols and capturing valuable feedback.
Cross-Functional Alignment: Act as the connective tissue between model developers, researchers, product teams, and operations, ensuring two-way visibility and structured feedback loops that drive faster iteration on features, releases, and model performance.
Operational Readiness: Collaborate closely with Fleet Operations to maintain consistent experiment design, vehicle availability, and process quality across testing programs, ensuring repeatable, high-quality delivery at scale.
Continuous Improvement: Partner with Systems and Enablement teams to leverage fleet data, systems, and metrics for collaborative problem-solving and refinement of testing processes and internal tooling, quantifying improvements in operational performance.
Innovation in Testing & Evaluation: Proactively brainstorm and explore new experimental methods (e.g., adversarial route selection, edge case testing concepts), fostering a culture of curiosity and bold experimentation to uncover insights that drive novel breakthroughs.
Technical Collaboration: Build strong partnerships with model development teams, combining strategic thinking with practical operational expertise to maximize the value of every test, dataset, and feedback loop in support of commercial objectives.
In order to set you up for success as a Technical Operations Manager at Wayve, we’re looking for the following skills and experience.
Essential
Demonstrable' experience in technical program management or operations roles at the intersection of R&D, product development, and field testing in high-complexity environments (e.g., autonomous systems, robotics, aerospace, or advanced mobility).
Proven track record of managing programs, demonstrations, or operations that require tight coordination between technical development teams and operational execution.
Deep experience with test planning, operational readiness frameworks, and structured feedback loops between field operations and technical development teams.
Strong facilitation and stakeholder management skills: able to lead cross-functional workshops and coordinate between Engineering, Science, Product, and Operations teams effectively.
Proven ability to influence across teams and functions, including remote and international stakeholders in fast-paced technology environments.
Strong written, verbal, and visual communication skills with experience creating technical documentation, SOPs, and stakeholder presentations.
Ability to travel internationally up to 30% of the time to support on-site program coordination across testing regions.
Strong problem-solving skills and comfort working in ambiguous, rapidly evolving environments with competing priorities.
Desirable
Experience in autonomous vehicles, advanced driver assistance systems, or field robotics operations.
Exposure to automotive testing protocols, validation frameworks, or OEM partnership programs.
Experience supporting scaling in global, distributed teams with complex technical dependencies.
Experience with data analysis and performance tracking; able to build or interpret dashboards, identify operational bottlenecks, and quantify program improvements.
Comfortable with project management tools such as Confluence, Asana/Jira, or equivalent, and experience implementing operational tracking systems.
Background in process improvement methodologies (Lean, Six Sigma) or operational excellence frameworks.
Familiarity with vehicle commissioning processes, fleet management systems, or automotive safety protocols.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $171,000 to $229,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWe're looking for a Technical Operations Manager to join Wayve's Technical Operations function, acting as the critical bridge between Science, Product, Engineering, and Operations. This role is ideal for someone who thrives in dynamic, high-growth environments and has proven experience translating complex technical strategies into actionable field operations.\n\nYou'll lead critical testing and demonstration programs across our global operations—spanning roadshow campaigns, customer-specific programs, and on-road validation activities—working cross-functionally to ensure structured feedback loops between field operations and development teams. This role is key to our transformation from an R&D-focused operation to a world-class, delivery-grade commercial AV organization that can execute seamlessly with customers and partners.\n\nKey responsibilities:\n\n - Technical and Operations Enablement: Convert high-level program plans into clear, actionable on-road plans in partnership with Fleet Operations leadership, ensuring alignment on scheduling, safety, and operational feasibility across diverse testing requirements.\n\n - Testing and Validation: Lead execution across internal-facing and external-facing programs, coordinating between technical teams and operations to ensure seamless testing and validation execution while maintaining safety protocols and capturing valuable feedback.\n\n - Cross-Functional Alignment: Act as the connective tissue between model developers, researchers, product teams, and operations, ensuring two-way visibility and structured feedback loops that drive faster iteration on features, releases, and model performance.\n\n - Operational Readiness: Collaborate closely with Fleet Operations to maintain consistent experiment design, vehicle availability, and process quality across testing programs, ensuring repeatable, high-quality delivery at scale.\n\n - Continuous Improvement: Partner with Systems and Enablement teams to leverage fleet data, systems, and metrics for collaborative problem-solving and refinement of testing processes and internal tooling, quantifying improvements in operational performance.\n\n - Innovation in Testing & Evaluation: Proactively brainstorm and explore new experimental methods (e.g., adversarial route selection, edge case testing concepts), fostering a culture of curiosity and bold experimentation to uncover insights that drive novel breakthroughs.\n\n - Technical Collaboration: Build strong partnerships with model development teams, combining strategic thinking with practical operational expertise to maximize the value of every test, dataset, and feedback loop in support of commercial objectives.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Technical Operations Manager at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Demonstrable' experience in technical program management or operations roles at the intersection of R&D, product development, and field testing in high-complexity environments (e.g., autonomous systems, robotics, aerospace, or advanced mobility).\n\n - Proven track record of managing programs, demonstrations, or operations that require tight coordination between technical development teams and operational execution.\n\n - Deep experience with test planning, operational readiness frameworks, and structured feedback loops between field operations and technical development teams.\n\n - Strong facilitation and stakeholder management skills: able to lead cross-functional workshops and coordinate between Engineering, Science, Product, and Operations teams effectively.\n\n - Proven ability to influence across teams and functions, including remote and international stakeholders in fast-paced technology environments.\n\n - Strong written, verbal, and visual communication skills with experience creating technical documentation, SOPs, and stakeholder presentations.\n\n - Ability to travel internationally up to 30% of the time to support on-site program coordination across testing regions.\n\n - Strong problem-solving skills and comfort working in ambiguous, rapidly evolving environments with competing priorities.\n\nDesirable \n\n - Experience in autonomous vehicles, advanced driver assistance systems, or field robotics operations.\n\n - Exposure to automotive testing protocols, validation frameworks, or OEM partnership programs.\n\n - Experience supporting scaling in global, distributed teams with complex technical dependencies.\n\n - Experience with data analysis and performance tracking; able to build or interpret dashboards, identify operational bottlenecks, and quantify program improvements.\n\n - Comfortable with project management tools such as Confluence, Asana/Jira, or equivalent, and experience implementing operational tracking systems.\n\n - Background in process improvement methodologies (Lean, Six Sigma) or operational excellence frameworks.\n\n - Familiarity with vehicle commissioning processes, fleet management systems, or automotive safety protocols.\n\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $171,000 to $229,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"753cea8f-fc3d-4aab-ab00-19033aa25738","title":"Sensing Systems Engineer","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-07T17:39:27.957+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/753cea8f-fc3d-4aab-ab00-19033aa25738","applyUrl":"https://jobs.ashbyhq.com/wayve/753cea8f-fc3d-4aab-ab00-19033aa25738/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are looking for a Sensing Systems Engineer to take ownership of the sensing subsystem across our vehicle platforms. This role sits within the Robotics team and operates at the intersection of AV Engineering, Hardware, Vehicle Software, Validation and Product.
You will be responsible for ensuring that our sensor stack and its integration into the vehicle platform meet the performance standards required for reliable model development and deployment. This includes defining clear requirements, building robust validation frameworks, and driving system-level decisions.
This is a cross-functional role focused on reducing ambiguity in sensing performance and enabling confident, data-driven decisions about vehicle readiness.
Own sensing system performance
Define what “good” looks like for the sensing stack in the context of model development, on-road performance and other applications using sensor data
Translate high-level product needs into measurable sensing requirements
Requirements & system definition
Develop and maintain clear sensing system requirements (e.g., sensing subsystem performance for both perception and localization sensors, calibration quality etc.)
Align requirements across Robotics, AV Product, Hardware, Vehicle SW and Automotive Product
System architecture & integration
Support Hardware and Vehicle Software teams to ensure correct sensor integration into the vehicle platform
Identify trade-offs and drive decisions on sensor configuration and system design
Provide consultancy on customers new vehicle programs on sensor requirements
Verification & validation
Design and implement frameworks to evaluate sensing system performance
Establish benchmarks and acceptance criteria for new vehicle bring-up
Diagnose and resolve sensor-related issues before they impact on-road behavior
Cross-functional leadership
Act as the central point of coordination for sensing across teams
Bring clarity to decision-making during ambiguous or fast-moving bring-up phases
Impact on ML systems
Evaluate how sensing quality affects model performance in real-world scenarios
Partner with ML teams to close the loop between data quality and model outcomes
In order to set you up for success as a Sensing Systems Engineer at Wayve, we're looking for the following skills and experience.
5+ years of experience in autonomous systems, robotics, automotive, or a closely related field, with direct involvement in real-world system deployment or vehicle bring-up
Strong systems engineering capability, including translating high-level product or model needs into clear, testable sensing requirements
Hands-on experience with at least one primary sensor modality (camera, LiDAR, radar), including integration into real-world platforms such as vehicles or robotic systems
Working knowledge of multi-sensor systems, including both perception sensors (camera, LiDAR, radar) and localization sensors (IMU, GNSS, wheel odometry)
Experience evaluating sensor performance and understanding limitations in real-world conditions
Experience defining metrics, benchmarks, and acceptance criteria for system performance
Experience working closely with multiple stakeholders such as Hardware, Vehicle Software, ML/Perception/Localization, and Product teams
Experience in autonomous driving or ADAS systems
Practical experience with sensor calibration, time synchronization, and data alignment
Experience with vehicle platforms or embedded systems
Background in safety-critical or high-reliability systems
Experience on safety standards applied to AV, in particular SOTIF
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $209,700-$310,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe are looking for a Sensing Systems Engineer to take ownership of the sensing subsystem across our vehicle platforms. This role sits within the Robotics team and operates at the intersection of AV Engineering, Hardware, Vehicle Software, Validation and Product.\n\nYou will be responsible for ensuring that our sensor stack and its integration into the vehicle platform meet the performance standards required for reliable model development and deployment. This includes defining clear requirements, building robust validation frameworks, and driving system-level decisions.\n\nThis is a cross-functional role focused on reducing ambiguity in sensing performance and enabling confident, data-driven decisions about vehicle readiness.\n\n\nKEY RESPONSIBILITIES\n\n - Own sensing system performance\n \n - Define what “good” looks like for the sensing stack in the context of model development, on-road performance and other applications using sensor data\n \n - Translate high-level product needs into measurable sensing requirements \n\n - Requirements & system definition\n \n - Develop and maintain clear sensing system requirements (e.g., sensing subsystem performance for both perception and localization sensors, calibration quality etc.)\n \n - Align requirements across Robotics, AV Product, Hardware, Vehicle SW and Automotive Product\n\n - System architecture & integration\n \n - Support Hardware and Vehicle Software teams to ensure correct sensor integration into the vehicle platform\n \n - Identify trade-offs and drive decisions on sensor configuration and system design\n \n - Provide consultancy on customers new vehicle programs on sensor requirements\n\n - Verification & validation\n \n - Design and implement frameworks to evaluate sensing system performance\n \n - Establish benchmarks and acceptance criteria for new vehicle bring-up\n \n - Diagnose and resolve sensor-related issues before they impact on-road behavior\n\n - Cross-functional leadership\n \n - Act as the central point of coordination for sensing across teams\n \n - Bring clarity to decision-making during ambiguous or fast-moving bring-up phases\n\n - Impact on ML systems\n \n - Evaluate how sensing quality affects model performance in real-world scenarios\n \n - Partner with ML teams to close the loop between data quality and model outcomes\n\n\nABOUT YOU\n\nIn order to set you up for success as a Sensing Systems Engineer at Wayve, we're looking for the following skills and experience.\n\n\nESSENTIAL\n\n - 5+ years of experience in autonomous systems, robotics, automotive, or a closely related field, with direct involvement in real-world system deployment or vehicle bring-up\n\n - Strong systems engineering capability, including translating high-level product or model needs into clear, testable sensing requirements\n\n - Hands-on experience with at least one primary sensor modality (camera, LiDAR, radar), including integration into real-world platforms such as vehicles or robotic systems\n\n - Working knowledge of multi-sensor systems, including both perception sensors (camera, LiDAR, radar) and localization sensors (IMU, GNSS, wheel odometry)\n\n - Experience evaluating sensor performance and understanding limitations in real-world conditions\n\n - Experience defining metrics, benchmarks, and acceptance criteria for system performance\n\n - Experience working closely with multiple stakeholders such as Hardware, Vehicle Software, ML/Perception/Localization, and Product teams\n\n\nDESIRABLE\n\n - Experience in autonomous driving or ADAS systems\n\n - Practical experience with sensor calibration, time synchronization, and data alignment\n\n - Experience with vehicle platforms or embedded systems\n\n - Background in safety-critical or high-reliability systems\n\n - Experience on safety standards applied to AV, in particular SOTIF\n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $209,700-$310,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"3728306c-f5da-42a7-9e4e-ddcb542cc1ef","title":"Principal Roboticist, Robot Foundation Model","department":"Wayve Labs","team":"Wayve Labs","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-10T12:52:27.561+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/3728306c-f5da-42a7-9e4e-ddcb542cc1ef","applyUrl":"https://jobs.ashbyhq.com/wayve/3728306c-f5da-42a7-9e4e-ddcb542cc1ef/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are looking for a Principal Roboticist to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Labs as a founding member.
MEGA is building foundation models for general-purpose robots beyond self-driving vehicles. Our focus is on creating intelligent agents that can perceive, reason, move and manipulate the physical world across diverse embodiments, including mobile manipulators, dual-arm platforms and humanoids.
This is a senior, high-impact role with genuine 0→1 ownership. You will help define the research agenda, technical strategy and foundations of a new robotics program, working alongside world-class researchers in foundation models, embodied intelligence and large-scale machine learning.
You will have the opportunity to work across the entire robot stack: you will select, build, integrate, and maintain robot hardware; develop the software needed to deploy and test robot policies; and work closely with research teams to shape data collection, model evaluation, and the learning loop. The goal is work on compelling and publishable research, but also to turn it into systems that demonstrate increasingly general, robust and useful behavior in the physical world.
You will collaborate closely with researchers, ML engineers, roboticists and hardware teams to move ambitious ideas rapidly from research hypotheses to large-scale experiments and impressive real-world capabilities.
This is a rare opportunity to help build a general robotics effort from the ground up—combining frontier foundation-model research with the immediacy and complexity of intelligence embodied in real machines.
Build, integrate, and maintain robot hardware platforms for research and experimentation.
Develop and maintain robot software in C++ and Python, including control, planning, ROS/ROS2-based systems, and deployment infrastructure.
Create infrastructure for policy deployment, data collection, evaluation, and the robotics data flywheel.
Run real-world robot experiments and define data collection pilots that inform model development.
Collaborate with research teams on robot policy development, model evaluation, and data strategy.
Debug and troubleshoot robotic software, hardware, and policy failures.
Build robust deployment, regression, and validation tests for robot systems.
Help shape technical direction across robotics, ML, hardware, and experimentation.
Experience in robot manipulation; working with robot hardware.
Experience leading robotics efforts.
Strong programming experience in C++ and/or Python.
Experience with robot software systems such as control, planning, ROS, or ROS2.
Experience in Machine Learning is welcome, in particular training and deploying learned robot policies.
A track record of high-quality research or engineering work in robotics, embodied AI, or related areas.
Publications in top-tier conferences such as ICRA, CoRL, or IROS are highly valued.
PhD preferred; Master's degree with equivalent experience also welcome.
5+ years of relevant industry experience.
You enjoy working hands-on with real robots and are comfortable debugging across hardware, software, and ML systems.
You can move between research exploration and pragmatic engineering execution.
You have strong judgement around experiment design, data quality, and model evaluation.
You communicate clearly across research, engineering, and product teams.
You are excited by 0→1 ownership and ambiguity in a fast-moving research environment.
Be part of a new, well-resourced initiative at the intersection of foundation models and robotics.
Work on generalist robot models and help build the systems that allow them to learn from real-world interaction.
Operate at serious scale with real robots, real data, and meaningful technical challenges.
Influence the full stack from ML research to hardware, deployment, and evaluation.
Join a research environment with space to innovate, publish, and define the future of embodied AI.
This role is based in our Sunnyvale office and involves working closely with robotic lab infrastructure.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe are looking for a Principal Roboticist to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Labs as a founding member.\n\nMEGA is building foundation models for general-purpose robots beyond self-driving vehicles. Our focus is on creating intelligent agents that can perceive, reason, move and manipulate the physical world across diverse embodiments, including mobile manipulators, dual-arm platforms and humanoids.\n\nThis is a senior, high-impact role with genuine 0→1 ownership. You will help define the research agenda, technical strategy and foundations of a new robotics program, working alongside world-class researchers in foundation models, embodied intelligence and large-scale machine learning.\n\nYou will have the opportunity to work across the entire robot stack: you will select, build, integrate, and maintain robot hardware; develop the software needed to deploy and test robot policies; and work closely with research teams to shape data collection, model evaluation, and the learning loop. The goal is work on compelling and publishable research, but also to turn it into systems that demonstrate increasingly general, robust and useful behavior in the physical world.\n\nYou will collaborate closely with researchers, ML engineers, roboticists and hardware teams to move ambitious ideas rapidly from research hypotheses to large-scale experiments and impressive real-world capabilities.\n\nThis is a rare opportunity to help build a general robotics effort from the ground up—combining frontier foundation-model research with the immediacy and complexity of intelligence embodied in real machines.\n\n\nWHAT YOU'LL DO\n\n - Build, integrate, and maintain robot hardware platforms for research and experimentation.\n\n - Develop and maintain robot software in C++ and Python, including control, planning, ROS/ROS2-based systems, and deployment infrastructure.\n\n - Create infrastructure for policy deployment, data collection, evaluation, and the robotics data flywheel.\n\n - Run real-world robot experiments and define data collection pilots that inform model development.\n\n - Collaborate with research teams on robot policy development, model evaluation, and data strategy.\n\n - Debug and troubleshoot robotic software, hardware, and policy failures.\n\n - Build robust deployment, regression, and validation tests for robot systems.\n\n - Help shape technical direction across robotics, ML, hardware, and experimentation.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience in robot manipulation; working with robot hardware.\n\n - Experience leading robotics efforts.\n\n - Strong programming experience in C++ and/or Python.\n\n - Experience with robot software systems such as control, planning, ROS, or ROS2.\n\n - Experience in Machine Learning is welcome, in particular training and deploying learned robot policies.\n\n - A track record of high-quality research or engineering work in robotics, embodied AI, or related areas.\n\n - Publications in top-tier conferences such as ICRA, CoRL, or IROS are highly valued.\n\n - PhD preferred; Master's degree with equivalent experience also welcome.\n\n - 5+ years of relevant industry experience.\n\n\nWHAT WILL MAKE YOU SUCCESSFUL\n\n - You enjoy working hands-on with real robots and are comfortable debugging across hardware, software, and ML systems.\n\n - You can move between research exploration and pragmatic engineering execution.\n\n - You have strong judgement around experiment design, data quality, and model evaluation.\n\n - You communicate clearly across research, engineering, and product teams.\n\n - You are excited by 0→1 ownership and ambiguity in a fast-moving research environment.\n\n\nWHY JOIN US\n\n - Be part of a new, well-resourced initiative at the intersection of foundation models and robotics.\n\n - Work on generalist robot models and help build the systems that allow them to learn from real-world interaction.\n\n - Operate at serious scale with real robots, real data, and meaningful technical challenges.\n\n - Influence the full stack from ML research to hardware, deployment, and evaluation.\n\n - Join a research environment with space to innovate, publish, and define the future of embodied AI.\n\n\nLOCATION\n\nThis role is based in our Sunnyvale office and involves working closely with robotic lab infrastructure.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"337cb3d2-d53c-4ec5-b570-fa8fd75cfe5e","title":"Customer Integration Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-08-11T10:09:51.390+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/337cb3d2-d53c-4ec5-b570-fa8fd75cfe5e","applyUrl":"https://jobs.ashbyhq.com/wayve/337cb3d2-d53c-4ec5-b570-fa8fd75cfe5e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
In this role, you will play a critical part in supporting our customers throughout the entire development lifecycle, from the initial integration phase to the final validation of our technology. You will ensure that customers receive responsive, high-quality technical support and work closely with both our clients and internal engineering teams to ensure seamless integration of our technology into their vehicles.
Located near our customers, you will be in a prime position to perform rapid diagnostics, identify issues in real time, and collaborate directly with customer engineering teams. This proximity allows you to maintain a holistic understanding of the system and effectively distinguish between vehicle-related issues and those specific to the Wayve AI Driver.
Key Responsibilities:
Provide hands-on technical support to customers throughout the development and validation process
Serve as the bridge between customer vehicle integration teams and Wayve’s internal engineering teams
Troubleshoot and resolve technical issues related to our technology independently
Escalate complex or critical issues to the appropriate internal stakeholders
Develop deep understanding of customer systems and APIs (e.g. drive-by-wire) to effectively guide internal teams
Maintain a system-level perspective to identify root causes, whether vehicle-based or software-related
In order to set you up for success as a Customer Integration Engineer at Wayve, we’re looking for the following skills and experience.
Strong problem-solving skills and analytical thinking
Proven ability to lead investigations into platform or vehicle issues in collaboration with internal and customer teams
Extensive hands-on experience with development vehicles
Proficiency with diagnostic and calibration tools (e.g. CANape or similar)
Familiarity with terminal usage and a willingness to develop basic programming skills
Solid understanding of vehicle communication protocols (e.g. CAN, Ethernet) and automotive system architectures
Practical experience working in an automotive environment, ideally with a track record of bringing products to production
Excellent communication and interpersonal skills for effective collaboration with both customers and internal teams
Willingness to travel as required
This is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\n THE ROLE \n\nIn this role, you will play a critical part in supporting our customers throughout the entire development lifecycle, from the initial integration phase to the final validation of our technology. You will ensure that customers receive responsive, high-quality technical support and work closely with both our clients and internal engineering teams to ensure seamless integration of our technology into their vehicles.\n\nLocated near our customers, you will be in a prime position to perform rapid diagnostics, identify issues in real time, and collaborate directly with customer engineering teams. This proximity allows you to maintain a holistic understanding of the system and effectively distinguish between vehicle-related issues and those specific to the Wayve AI Driver.\n\nKey Responsibilities:\n\n - Provide hands-on technical support to customers throughout the development and validation process\n\n - Serve as the bridge between customer vehicle integration teams and Wayve’s internal engineering teams\n\n - Troubleshoot and resolve technical issues related to our technology independently\n\n - Escalate complex or critical issues to the appropriate internal stakeholders\n\n - Develop deep understanding of customer systems and APIs (e.g. drive-by-wire) to effectively guide internal teams\n\n - Maintain a system-level perspective to identify root causes, whether vehicle-based or software-related\n\n\nABOUT YOU \n\nIn order to set you up for success as a Customer Integration Engineer at Wayve, we’re looking for the following skills and experience. \n\n - Strong problem-solving skills and analytical thinking\n\n - Proven ability to lead investigations into platform or vehicle issues in collaboration with internal and customer teams\n Extensive hands-on experience with development vehicles\n\n - Proficiency with diagnostic and calibration tools (e.g. CANape or similar)\n\n - Familiarity with terminal usage and a willingness to develop basic programming skills\n\n - Solid understanding of vehicle communication protocols (e.g. CAN, Ethernet) and automotive system architectures\n\n - Practical experience working in an automotive environment, ideally with a track record of bringing products to production\n\n - Excellent communication and interpersonal skills for effective collaboration with both customers and internal teams\n\n - Willingness to travel as required\n \n \n\nThis is a full-time role based in our office in Leonberg. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"ff69a11c-c205-49f7-9f9a-c13b86f5c901","title":"Staff Embedded Security Engineer","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-11T19:42:56.222+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/ff69a11c-c205-49f7-9f9a-c13b86f5c901","applyUrl":"https://jobs.ashbyhq.com/wayve/ff69a11c-c205-49f7-9f9a-c13b86f5c901/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The security of our software is paramount to the safety of our vehicles. The onboard software for our various fleets of vehicles is critical to data gathering, model training, and demonstration of our self-driving technology. You will work with embedded software engineers to design, implement, review, and test the onboard software and connected services for our current and future platforms.
Key responsibilities:
Design and develop real-time embedded firmware and embedded Linux software to implement security controls for the system
Contribute to technical requirements, architecture, and interface design documents
Partner with the wider Wayve Security team to identify and address security issues related to our vehicle fleet
Partner with developers from throughout the organization to design and promote secure software architectures
Build, deploy, and maintain security tools, libraries, controls, and instrumentation in Wayve’s codebases
Perform code and design reviews to identify and help remediate security flaws
In order to set you up for success as an Staff Embedded Security Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Proven record of designing and delivering software security systems for internet-connected embedded devices
Experience incorporating hardware-based security techniques (Hardware Security modules, TrustZone, Secure Boot, etc) into a robust hardware/software system design
Sound knowledge of Cryptography fundamentals and Public Key Infrastructure
Extensive experience creating, presenting, and refining clear, compelling technical specifications from top-level system architecture documents down to low-level implementation guides and test plans
System-level (kernel/bootloader) software development experience
Significant experience with at least Python, C++, C, or Go.
Exceptional ability to communicate and collaborate with developers, non-engineering stakeholders, and leadership
Desirable
Experience with QNX or similar realtime operating systems
Experience designing, developing, and maintaining professional software
Experience with Azure, GCP, containers, secrets management systems, cryptography, popular threat modeling systems, and other contemporary security topics
Contributions to the security community (open source, published research, presentations, blog posts, etc.)
Bachelor’s degree or above in CS, Engineering, Math, Physics, or similar
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $276,100 to $311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe security of our software is paramount to the safety of our vehicles. The onboard software for our various fleets of vehicles is critical to data gathering, model training, and demonstration of our self-driving technology. You will work with embedded software engineers to design, implement, review, and test the onboard software and connected services for our current and future platforms.\n\nKey responsibilities:\n\n - Design and develop real-time embedded firmware and embedded Linux software to implement security controls for the system \n\n - Contribute to technical requirements, architecture, and interface design documents\n\n - Partner with the wider Wayve Security team to identify and address security issues related to our vehicle fleet\n\n - Partner with developers from throughout the organization to design and promote secure software architectures\n\n - Build, deploy, and maintain security tools, libraries, controls, and instrumentation in Wayve’s codebases\n\n - Perform code and design reviews to identify and help remediate security flaws\n\n\nABOUT YOU \n\nIn order to set you up for success as an Staff Embedded Security Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Proven record of designing and delivering software security systems for internet-connected embedded devices \n\n - Experience incorporating hardware-based security techniques (Hardware Security modules, TrustZone, Secure Boot, etc) into a robust hardware/software system design \n\n - Sound knowledge of Cryptography fundamentals and Public Key Infrastructure \n\n - Extensive experience creating, presenting, and refining clear, compelling technical specifications from top-level system architecture documents down to low-level implementation guides and test plans \n\n - System-level (kernel/bootloader) software development experience \n\n - Significant experience with at least Python, C++, C, or Go.\n\n - Exceptional ability to communicate and collaborate with developers, non-engineering stakeholders, and leadership\n\nDesirable \n\n - Experience with QNX or similar realtime operating systems\n\n - Experience designing, developing, and maintaining professional software\n\n - Experience with Azure, GCP, containers, secrets management systems, cryptography, popular threat modeling systems, and other contemporary security topics\n\n - Contributions to the security community (open source, published research, presentations, blog posts, etc.)\n\n - Bachelor’s degree or above in CS, Engineering, Math, Physics, or similar\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $276,100 to $311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"195d754c-b531-4038-87e5-5b87a2a626df","title":"Programme Manager, Supply Chain","department":"Hardware & Supply Chain","team":"Hardware & Supply Chain","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-14T16:05:04.427+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/195d754c-b531-4038-87e5-5b87a2a626df","applyUrl":"https://jobs.ashbyhq.com/wayve/195d754c-b531-4038-87e5-5b87a2a626df/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Supply Chain Programme Manager is a critical cross-functional role responsible for owning end-to-end supply chain execution across assigned programmes and product builds at Wayve. This includes prototype development, new product introduction (NPI), and supporting fleet launches.
This role serves as the primary Supply Chain lead ensuring meeting programme deliverables, supplier compliance, and seamless coordination across Engineering, Operations, Manufacturing, and external partners. The ideal candidate thrives in a fast-moving, hardware-driven environment and brings both strategic thinking and hands-on execution capability.
The role works cross-functionally with Engineering, Planning, Sourcing, Logistics, Finance, Legal, and Suppliers, and partners closely with global upfitters and third-party integration partners (spanning the US, UK, and other regions) to ensure vehicle and programme timelines are met.
Act as the primary Supply Chain lead for assigned programmes or internal product builds (e.g., prototypes, new product introduction, subassembly).
Own end-to-end material readiness to support programme milestones across R&D, Engineering, Operations, and Manufacturing.
Collaborate closely with Engineering, Planning, Sourcing, Logistics, Finance, and Suppliers to align supply chain activities with programme timelines.
Act as the strategic liaison between hardware engineering and the procurement teams, managing demand aggregation.
Translate engineering BOMs and aggregate Technical Programme Manager demand into procurement plans
Identify long-lead items and critical path components early in the product lifecycle.
Track material status through build phases and escalate gaps or risks proactively.
Serve as the primary programme manager for upfitter and partner relationships, ensuring alignment across all stakeholders.
Drive upfitter/partner activities to ensure vehicles meet overall programme timelines and quality standards.
Proactively identify and resolve issues impacting vehicle build readiness, coordinating between internal teams and external partners.
Maintain clear communication cadence with upfitters and stakeholders, tracking milestones and escalating risks as needed.
Define, track, and report on key supply chain performance metrics including, material availability, total cost saving, inventory cycle count accuracy.
Establish programme-level supply chain dashboards and reporting cadences to provide visibility to leadership and cross-functional stakeholders.
Analyse KPI trends to identify root causes of supply chain underperformance and drive corrective actions with suppliers and internal teams.
Leverage KPI insights to continuously improve supply chain processes, reduce waste, and increase overall programme efficiency.
In order to set you up for success as a Programme Manager at Wayve, we’re looking for the following skills and experience.
Essential
10+ years of progressive experience in supply chain programme management, NPI, and hardware operations
Strong understanding of BOM management, material planning, and procurement processes.
Automotive, consumer, hardware, or robotic industry experience preferred
Familiarity with supplier compliance frameworks including TISAX, ISO standards, and ethical sourcing requirements.
Demonstrated ability to manage cross-functional programmes across Engineering, Operations, and Supply Chain.
Strong analytical, problem-solving, and risk management skills.
Excellent communication and stakeholder management capabilities.
Ability to travel internally as needed
Desirable
Collaborating with Supply Chain Team Leads to ensure direct purchasing, indirect purchasing, and logistics suppliers are meeting compliance requirements, including legal, environmental, regulatory (e.g., TISAX, ISO), and ethical sourcing standards.
Partner with legal and compliance teams to ensure appropriate supplier agreements, NDAs, and risk controls are in place.
Develop contingency plans for supply disruptions and actively manage supply chain risks.
This is a full-time, office-based role located in London, depending on the candidate's place of residence. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe Supply Chain Programme Manager is a critical cross-functional role responsible for owning end-to-end supply chain execution across assigned programmes and product builds at Wayve. This includes prototype development, new product introduction (NPI), and supporting fleet launches.\n\nThis role serves as the primary Supply Chain lead ensuring meeting programme deliverables, supplier compliance, and seamless coordination across Engineering, Operations, Manufacturing, and external partners. The ideal candidate thrives in a fast-moving, hardware-driven environment and brings both strategic thinking and hands-on execution capability.\n\nThe role works cross-functionally with Engineering, Planning, Sourcing, Logistics, Finance, Legal, and Suppliers, and partners closely with global upfitters and third-party integration partners (spanning the US, UK, and other regions) to ensure vehicle and programme timelines are met.\n\n\nPROGRAMME OWNERSHIP & CROSS-FUNCTIONAL COORDINATION\n\n - Act as the primary Supply Chain lead for assigned programmes or internal product builds (e.g., prototypes, new product introduction, subassembly).\n\n - Own end-to-end material readiness to support programme milestones across R&D, Engineering, Operations, and Manufacturing.\n\n - Collaborate closely with Engineering, Planning, Sourcing, Logistics, Finance, and Suppliers to align supply chain activities with programme timelines.\n\n - Act as the strategic liaison between hardware engineering and the procurement teams, managing demand aggregation.\n\n\nMATERIAL PLANNING & READINESS\n\n - Translate engineering BOMs and aggregate Technical Programme Manager demand into procurement plans\n\n - Identify long-lead items and critical path components early in the product lifecycle.\n\n - Track material status through build phases and escalate gaps or risks proactively.\n\n\nPROGRAMME MANAGING UPFITTER / PARTNER\n\n - Serve as the primary programme manager for upfitter and partner relationships, ensuring alignment across all stakeholders.\n\n - Drive upfitter/partner activities to ensure vehicles meet overall programme timelines and quality standards.\n\n - Proactively identify and resolve issues impacting vehicle build readiness, coordinating between internal teams and external partners.\n\n - Maintain clear communication cadence with upfitters and stakeholders, tracking milestones and escalating risks as needed.\n\n\nSUPPLY CHAIN KPI MANAGEMENT\n\n - Define, track, and report on key supply chain performance metrics including, material availability, total cost saving, inventory cycle count accuracy.\n\n - Establish programme-level supply chain dashboards and reporting cadences to provide visibility to leadership and cross-functional stakeholders.\n\n - Analyse KPI trends to identify root causes of supply chain underperformance and drive corrective actions with suppliers and internal teams.\n\n - Leverage KPI insights to continuously improve supply chain processes, reduce waste, and increase overall programme efficiency.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Programme Manager at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - 10+ years of progressive experience in supply chain programme management, NPI, and hardware operations\n\n - Strong understanding of BOM management, material planning, and procurement processes.\n\n - Automotive, consumer, hardware, or robotic industry experience preferred\n\n - Familiarity with supplier compliance frameworks including TISAX, ISO standards, and ethical sourcing requirements.\n\n - Demonstrated ability to manage cross-functional programmes across Engineering, Operations, and Supply Chain.\n\n - Strong analytical, problem-solving, and risk management skills.\n\n - Excellent communication and stakeholder management capabilities.\n\n - Ability to travel internally as needed\n\nDesirable\n\n\nCOMPLIANCE AND RISK MANAGEMENT\n\n - Collaborating with Supply Chain Team Leads to ensure direct purchasing, indirect purchasing, and logistics suppliers are meeting compliance requirements, including legal, environmental, regulatory (e.g., TISAX, ISO), and ethical sourcing standards.\n\n - Partner with legal and compliance teams to ensure appropriate supplier agreements, NDAs, and risk controls are in place.\n\n - Develop contingency plans for supply disruptions and actively manage supply chain risks.\n\n\nThis is a full-time, office-based role located in London, depending on the candidate's place of residence. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"7e02e305-99b5-47f0-8ee6-0b348390a119","title":"Engineering Manager, Runtime Platform, Robot Software","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-14T20:34:53.828+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/7e02e305-99b5-47f0-8ee6-0b348390a119","applyUrl":"https://jobs.ashbyhq.com/wayve/7e02e305-99b5-47f0-8ee6-0b348390a119/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is building embodied AI that can drive any vehicle, anywhere. Our AI Driver runs on-vehicle in real time, and the Runtime Platform team owns the application frameworks, middleware (IPC / inter-process communication), monitoring, performance, and observability foundations that make that possible. This is a growing sub-team that we're breaking out into its own team, and you’ll be the Engineering Manager to lead it.
As Engineering Manager for Runtime Platform, you'll lead a single team and be accountable for its delivery, engagement, resourcing, roadmap, and performance. People leadership is your first priority: you'll coach and grow the team, keep it engaged and high-performing, and own hiring as the team stands up. You'll pair that with strong technical judgment — setting clear technical direction on latency, profiling, real-time scheduling, and middleware, and owning the outcome of the team's technical decisions.
Lead and grow the team (first priority): keep the team engaged, developing, and performing with good morale; run 1:1s, set clear expectations, give regular high-quality feedback, manage performance, and support career growth against our career framework.
Hire and build the team: own hiring and onboarding to get the right people in the right roles, and shape the team's culture and ways of working as it forms.
Drive execution: ensure the team's work advances company goals; staff committed programs, keep the roadmap aligned to available resources, prioritize, and hold the team accountable for delivery, quality, and operational reliability.
Set technical direction: ensure the team has a clear, holistic technical direction and clear ownership of its technology-roadmap milestones — working closely with the team's tech lead(s) and stakeholders; own the outcome of the team's technical decisions.
Own the runtime foundations: guide the team's work across system design, application frameworks, the middleware/IPC layer, performance & optimization, and measurement & observability. Enable new vehicle platform enablement with incremental work and minimal performance degradation. Implement and maintain strong CI, HIL, and internal quality gates to provide a robust framework for fast iteration..
Collaborate and unblock: cascade the roadmap, partner with internal Vehicle Software teams, model developers, hardware, and OEM programs. Act as the point of escalation for your team, and proactively surface and resolve risks and dependencies.
Engineering management experience (essential): a track record of leading, growing, engaging, and retaining a high-performing software/systems team — including hiring, coaching, feedback, and performance management. People management is your first priority.
Delivery through a team: experience owning a team's roadmap and shipping through others — planning, prioritization, resourcing, and accountability for quality and operational reliability.
Technical credibility: hands-on depth in what takes to architect and deliver embedded software shipped on a product to real customers. Demonstrate knowledge of high-performance, low-latency embedded software (C++) to earn the trust of senior systems engineers and own the team's technical decisions. You don't need to be the team's top individual contributor.
Performance & systems fundamentals: solid understanding of profiling, benchmarking, latency/throughput/memory-bandwidth analysis, and real-time scheduling, on embedded Linux (ideally also QNX).
IPC / middleware: a strong grasp of middleware for high-throughput real-time or robotics systems and the trade-offs across vendors and platforms.
Cross-functional leadership: the ability to set direction and deliver through influence across many stakeholder teams.
Experience in automotive, robotics, or another safety-relevant real-time domain.
Familiarity with profiling toolchains (pprof/gperftools, perf, Nsight, NVLumo) and observability stacks (OpenTelemetry, Grafana, Datadog).
Experience with NVIDIA (Orin/Thor) and/or Qualcomm compute platforms.
Experience with a micro-kernel and/or real-time OS (e.g. QNX) is a plus.
The Runtime Platform team supports Wayve's on-vehicle stack — other on-board components rely on the frameworks, performance, observability, and layers it owns. You'll lead a team whose work contributes to how Wayve scales its AI Driver to new vehicles, OEM programs, and other embodiments.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nABOUT THE TEAM\n\nWayve is building embodied AI that can drive any vehicle, anywhere. Our AI Driver runs on-vehicle in real time, and the Runtime Platform team owns the application frameworks, middleware (IPC / inter-process communication), monitoring, performance, and observability foundations that make that possible. This is a growing sub-team that we're breaking out into its own team, and you’ll be the Engineering Manager to lead it.\n\n\nTHE ROLE\n\nAs Engineering Manager for Runtime Platform, you'll lead a single team and be accountable for its delivery, engagement, resourcing, roadmap, and performance. People leadership is your first priority: you'll coach and grow the team, keep it engaged and high-performing, and own hiring as the team stands up. You'll pair that with strong technical judgment — setting clear technical direction on latency, profiling, real-time scheduling, and middleware, and owning the outcome of the team's technical decisions.\n\n\nWHAT YOU'LL DO\n\n - Lead and grow the team (first priority): keep the team engaged, developing, and performing with good morale; run 1:1s, set clear expectations, give regular high-quality feedback, manage performance, and support career growth against our career framework.\n\n - Hire and build the team: own hiring and onboarding to get the right people in the right roles, and shape the team's culture and ways of working as it forms.\n\n - Drive execution: ensure the team's work advances company goals; staff committed programs, keep the roadmap aligned to available resources, prioritize, and hold the team accountable for delivery, quality, and operational reliability.\n\n - Set technical direction: ensure the team has a clear, holistic technical direction and clear ownership of its technology-roadmap milestones — working closely with the team's tech lead(s) and stakeholders; own the outcome of the team's technical decisions.\n\n - Own the runtime foundations: guide the team's work across system design, application frameworks, the middleware/IPC layer, performance & optimization, and measurement & observability. Enable new vehicle platform enablement with incremental work and minimal performance degradation. Implement and maintain strong CI, HIL, and internal quality gates to provide a robust framework for fast iteration..\n\n - Collaborate and unblock: cascade the roadmap, partner with internal Vehicle Software teams, model developers, hardware, and OEM programs. Act as the point of escalation for your team, and proactively surface and resolve risks and dependencies.\n\n\nWHAT YOU'LL BRING\n\n - Engineering management experience (essential): a track record of leading, growing, engaging, and retaining a high-performing software/systems team — including hiring, coaching, feedback, and performance management. People management is your first priority.\n\n - Delivery through a team: experience owning a team's roadmap and shipping through others — planning, prioritization, resourcing, and accountability for quality and operational reliability.\n\n - Technical credibility: hands-on depth in what takes to architect and deliver embedded software shipped on a product to real customers. Demonstrate knowledge of high-performance, low-latency embedded software (C++) to earn the trust of senior systems engineers and own the team's technical decisions. You don't need to be the team's top individual contributor.\n\n - Performance & systems fundamentals: solid understanding of profiling, benchmarking, latency/throughput/memory-bandwidth analysis, and real-time scheduling, on embedded Linux (ideally also QNX).\n\n - IPC / middleware: a strong grasp of middleware for high-throughput real-time or robotics systems and the trade-offs across vendors and platforms.\n\n - Cross-functional leadership: the ability to set direction and deliver through influence across many stakeholder teams.\n\n\nNICE TO HAVE\n\n - Experience in automotive, robotics, or another safety-relevant real-time domain.\n\n - Familiarity with profiling toolchains (pprof/gperftools, perf, Nsight, NVLumo) and observability stacks (OpenTelemetry, Grafana, Datadog).\n\n - Experience with NVIDIA (Orin/Thor) and/or Qualcomm compute platforms.\n\n - Experience with a micro-kernel and/or real-time OS (e.g. QNX) is a plus.\n\n\nWHY THIS TEAM\n\nThe Runtime Platform team supports Wayve's on-vehicle stack — other on-board components rely on the frameworks, performance, observability, and layers it owns. You'll lead a team whose work contributes to how Wayve scales its AI Driver to new vehicles, OEM programs, and other embodiments.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"064cd597-aa33-4fd5-8207-4e4ccada95c9","title":"GRC Assurance Manager","department":"Commercial & Operations","team":"Security & Resilience","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-17T19:37:55.300+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/064cd597-aa33-4fd5-8207-4e4ccada95c9","applyUrl":"https://jobs.ashbyhq.com/wayve/064cd597-aa33-4fd5-8207-4e4ccada95c9/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Wayve grows, so do the expectations of our customers and stakeholders. We need a scalable approach to validating our controls and providing confidence that our security programme is operating as intended.
As our Security Assurance Manager, you’ll join the Security team to establish Wayve’s security assurance capability. You’ll design and operate the processes, methodologies, and relationships that enable continuous validation of our security controls, supporting certifications such as TISAX and ISO 21434, meeting customer contractual commitments, and strengthening trust across the organisation.
This is an opportunity to build a security assurance capability from the ground up. As a fast-growing engineering organisation, you’ll shape how assurance evolves as we scale. You’ll work closely with teams across Wayve to evolve assurance from periodic, manual testing towards continuous, data-driven validation.
We’d love to hear from you if you’re motivated by helping engineering teams build stronger security through objective evidence, collaboration, and continuous improvement.
Design, implement, and continuously improve Wayve’s security assurance capability.
Develop pragmatic, risk-based assurance methodologies that provide confidence our security controls are operating effectively.
Define testing approaches, assurance plans, and reporting that support our security programme as it continues to mature.
Build trusted relationships across Wayve to embed assurance into the way we operate.
Help establish a culture where assurance is recognised not as a burden, but as a source of insight that helps us improve our security posture.
Perform ongoing assurance activities to validate the design and operating effectiveness of security controls across the organisation.
Produce objective, evidence-based assessments of control effectiveness and clearly communicate findings to stakeholders.
Independently assess controls while working collaboratively with teams to strengthen security outcomes and improve control maturity.
Track assurance findings through remediation, validating that issues have been effectively addressed.
Support external assessments, certifications, and customer assurance activities by providing trusted assurance evidence.
Partner with the Security Analytics Engineer to automate evidence collection and evolve assurance from periodic assessments to continuous validation.
Identify opportunities to replace manual assurance activities with scalable, data-driven approaches.
Develop repeatable testing methodologies that increase consistency, quality, and coverage as the programme matures.
Contribute to the ongoing evolution of Wayve’s security control framework by identifying opportunities to improve control design, measurability, and assurance.
Experience designing, building, or operating security assurance or controls assurance within organisations with modern tech stacks.
Strong understanding of security controls and how to evaluate both design and operating effectiveness.
Experience working in cloud-native, SaaS-heavy environments and collaborating closely with engineering teams.
Experience developing assurance methodologies, performing control testing, and communicating assurance outcomes to technical and non-technical stakeholders.
Ability to independently challenge control effectiveness while building collaborative relationships that help teams improve.
Strong communication skills, with the ability to influence stakeholders across our business.
A pragmatic mindset, balancing strong governance with the realities of a fast-moving engineering-led organisation.
Experience supporting security assurance programmes for frameworks such as TISAX, ISO 21434, ISO 27001, SOC 2, or similar.
Experience helping organisations evolve from periodic assurance towards continuous assurance.
Familiarity with assurance techniques in cloud-native and software engineering environments.
Professional certifications such as CISA, ISO 27001 Lead Auditor, or similar.
During your first year you will:
Establish Wayve’s security assurance capability and embed it into the Security programme.
Implement an ongoing assurance process that provides confidence key security controls are operating effectively.
Build strong partnerships across internal teams that enable assurance to become a collaborative activity rather than a point-in-time exercise.
Deliver independent, evidence-based assurance over controls supporting TISAX, ISO 21434, and customer security commitments.
Introduce automation into selected assurance activities through partnership with the Security Analytics Engineer.
Help establish a culture where assurance is recognised as a source of insight that enables Security to continuously improve.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nABOUT THE ROLE\n\nAs Wayve grows, so do the expectations of our customers and stakeholders. We need a scalable approach to validating our controls and providing confidence that our security programme is operating as intended.\n\nAs our Security Assurance Manager, you’ll join the Security team to establish Wayve’s security assurance capability. You’ll design and operate the processes, methodologies, and relationships that enable continuous validation of our security controls, supporting certifications such as TISAX and ISO 21434, meeting customer contractual commitments, and strengthening trust across the organisation.\n\nThis is an opportunity to build a security assurance capability from the ground up. As a fast-growing engineering organisation, you’ll shape how assurance evolves as we scale. You’ll work closely with teams across Wayve to evolve assurance from periodic, manual testing towards continuous, data-driven validation.\n\nWe’d love to hear from you if you’re motivated by helping engineering teams build stronger security through objective evidence, collaboration, and continuous improvement.\n\n\nKEY RESPONSIBILITIES\n\n\nBUILD OUR SECURITY ASSURANCE CAPABILITY\n\n - Design, implement, and continuously improve Wayve’s security assurance capability.\n\n - Develop pragmatic, risk-based assurance methodologies that provide confidence our security controls are operating effectively.\n\n - Define testing approaches, assurance plans, and reporting that support our security programme as it continues to mature.\n\n - Build trusted relationships across Wayve to embed assurance into the way we operate.\n\n - Help establish a culture where assurance is recognised not as a burden, but as a source of insight that helps us improve our security posture.\n\n\nVALIDATE CONTROL EFFECTIVENESS\n\n - Perform ongoing assurance activities to validate the design and operating effectiveness of security controls across the organisation.\n\n - Produce objective, evidence-based assessments of control effectiveness and clearly communicate findings to stakeholders.\n\n - Independently assess controls while working collaboratively with teams to strengthen security outcomes and improve control maturity.\n\n - Track assurance findings through remediation, validating that issues have been effectively addressed.\n\n - Support external assessments, certifications, and customer assurance activities by providing trusted assurance evidence.\n\n\nDRIVE CONTINUOUS ASSURANCE\n\n - Partner with the Security Analytics Engineer to automate evidence collection and evolve assurance from periodic assessments to continuous validation.\n\n - Identify opportunities to replace manual assurance activities with scalable, data-driven approaches.\n\n - Develop repeatable testing methodologies that increase consistency, quality, and coverage as the programme matures.\n\n - Contribute to the ongoing evolution of Wayve’s security control framework by identifying opportunities to improve control design, measurability, and assurance.\n\n\nABOUT YOU\n\n\nESSENTIAL\n\n - Experience designing, building, or operating security assurance or controls assurance within organisations with modern tech stacks.\n\n - Strong understanding of security controls and how to evaluate both design and operating effectiveness.\n\n - Experience working in cloud-native, SaaS-heavy environments and collaborating closely with engineering teams.\n\n - Experience developing assurance methodologies, performing control testing, and communicating assurance outcomes to technical and non-technical stakeholders.\n\n - Ability to independently challenge control effectiveness while building collaborative relationships that help teams improve.\n\n - Strong communication skills, with the ability to influence stakeholders across our business.\n\n - A pragmatic mindset, balancing strong governance with the realities of a fast-moving engineering-led organisation.\n\n\nDESIRABLE\n\n - Experience supporting security assurance programmes for frameworks such as TISAX, ISO 21434, ISO 27001, SOC 2, or similar.\n\n - Experience helping organisations evolve from periodic assurance towards continuous assurance.\n\n - Familiarity with assurance techniques in cloud-native and software engineering environments.\n\n - Professional certifications such as CISA, ISO 27001 Lead Auditor, or similar.\n\n\nWHAT SUCCESS LOOKS LIKE\n\nDuring your first year you will:\n\n - Establish Wayve’s security assurance capability and embed it into the Security programme.\n\n - Implement an ongoing assurance process that provides confidence key security controls are operating effectively.\n\n - Build strong partnerships across internal teams that enable assurance to become a collaborative activity rather than a point-in-time exercise.\n\n - Deliver independent, evidence-based assurance over controls supporting TISAX, ISO 21434, and customer security commitments.\n\n - Introduce automation into selected assurance activities through partnership with the Security Analytics Engineer.\n\n - Help establish a culture where assurance is recognised as a source of insight that enables Security to continuously improve.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"a5ac7ac1-e1ee-474d-a563-ece4cc67f77d","title":"Strategic Partnership Manager","department":"Commercial & Operations","team":"Commercial & Operations","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-20T18:57:08.089+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/a5ac7ac1-e1ee-474d-a563-ece4cc67f77d","applyUrl":"https://jobs.ashbyhq.com/wayve/a5ac7ac1-e1ee-474d-a563-ece4cc67f77d/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
Wayve is building the AI Driver to power autonomous mobility at global scale. We have launched in London, are preparing for Tokyo and are building toward the US — and none of it scales without fleet operations. Our fleet operations run through a network of external partners who deliver vehicle operations and driving data collection across the UK, Germany, Japan and the US, and that network has grown quickly.
We are hiring a Strategic Partnership Manager to take global ownership of this partner network. You will own the relationships, the commercial terms and the performance standards, decide who we work with next, and build the operating model that lets the network scale. You will also be the fleet operations partnership expert our Robotaxi teams turn to as those services grow. This is a newly created role with real commercial accountability and high visibility across Fleet Operations, Safety, Legal, Finance and company leadership.
Key responsibilities
Own end-to-end relationships with the external partners who deliver Wayve’s fleet operations across the UK, Germany, Japan and the US — building trust with partner leadership, navigating disagreements and leading major partner changes
Act as the primary link between regional Fleet Operations leads and partners, resolving performance, capacity and operating-model issues
Own contract negotiations, commercial terms, renewals and contractual compliance, and lead recurring partner reviews covering hiring, training, KPIs and operations
Scan the market, source and evaluate new partners, and bring diligence and proposals to leadership for decision
Lead partner onboarding, transitions and offboarding, ensuring operational continuity and carrying learnings across markets
Build the global playbook and performance framework for fleet operations partnerships, and support internal change initiatives that depend on partner alignment
Provide partnership and commercial support to our Robotaxi operations teams on fleet-related topics as our services scale
About you
In order to set you up for success as a Strategic Partnership Manager at Wayve, we’re looking for the following skills and experience.
Essential
Strong ownership mindset, with a proven track record of managing strategic partnerships or outsourced/vendor relationships end-to-end and clear commercial accountability for the outcome
Experience negotiating commercial terms and contracts, and holding partners to KPIs or SLAs — including when performance slips
Operational depth: you have managed partners who deliver a frontline operational workforce, and you are credible on hiring ramp, training, utilisation and quality
Comfortable operating across multiple markets and time zones, building trust with partners and stakeholders in different cultures and operating models
Able to bring structure and momentum to fast-moving, ambiguous situations, particularly where a partner network has outgrown its operating model
A credible internal partner to operations leaders — you work through them rather than around them
Desirable
6+ years in strategic partnerships, vendor or outsourcing management, mobility or operations roles
Experience in mobility, autonomy, logistics or another highly operational or regulated industry
Experience managing partners in Germany, Japan and/or the US
Experience standing up a partnership operating model or playbook from scratch
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nWayve is building the AI Driver to power autonomous mobility at global scale. We have launched in London, are preparing for Tokyo and are building toward the US — and none of it scales without fleet operations. Our fleet operations run through a network of external partners who deliver vehicle operations and driving data collection across the UK, Germany, Japan and the US, and that network has grown quickly.\n\nWe are hiring a Strategic Partnership Manager to take global ownership of this partner network. You will own the relationships, the commercial terms and the performance standards, decide who we work with next, and build the operating model that lets the network scale. You will also be the fleet operations partnership expert our Robotaxi teams turn to as those services grow. This is a newly created role with real commercial accountability and high visibility across Fleet Operations, Safety, Legal, Finance and company leadership.\n\nKey responsibilities\n\n - Own end-to-end relationships with the external partners who deliver Wayve’s fleet operations across the UK, Germany, Japan and the US — building trust with partner leadership, navigating disagreements and leading major partner changes\n\n - Act as the primary link between regional Fleet Operations leads and partners, resolving performance, capacity and operating-model issues\n\n - Own contract negotiations, commercial terms, renewals and contractual compliance, and lead recurring partner reviews covering hiring, training, KPIs and operations\n\n - Scan the market, source and evaluate new partners, and bring diligence and proposals to leadership for decision\n\n - Lead partner onboarding, transitions and offboarding, ensuring operational continuity and carrying learnings across markets\n\n - Build the global playbook and performance framework for fleet operations partnerships, and support internal change initiatives that depend on partner alignment\n\n - Provide partnership and commercial support to our Robotaxi operations teams on fleet-related topics as our services scale\n\nAbout you\n\nIn order to set you up for success as a Strategic Partnership Manager at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Strong ownership mindset, with a proven track record of managing strategic partnerships or outsourced/vendor relationships end-to-end and clear commercial accountability for the outcome\n\n - Experience negotiating commercial terms and contracts, and holding partners to KPIs or SLAs — including when performance slips\n\n - Operational depth: you have managed partners who deliver a frontline operational workforce, and you are credible on hiring ramp, training, utilisation and quality\n\n - Comfortable operating across multiple markets and time zones, building trust with partners and stakeholders in different cultures and operating models\n\n - Able to bring structure and momentum to fast-moving, ambiguous situations, particularly where a partner network has outgrown its operating model\n\n - A credible internal partner to operations leaders — you work through them rather than around them\n\nDesirable\n\n - 6+ years in strategic partnerships, vendor or outsourcing management, mobility or operations roles\n\n - Experience in mobility, autonomy, logistics or another highly operational or regulated industry\n\n - Experience managing partners in Germany, Japan and/or the US\n\n - Experience standing up a partnership operating model or playbook from scratch\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"698dfc36-2621-4766-8ba1-b0d4e79f2550","title":"Data Science - Manager","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-20T20:21:16.251+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/698dfc36-2621-4766-8ba1-b0d4e79f2550","applyUrl":"https://jobs.ashbyhq.com/wayve/698dfc36-2621-4766-8ba1-b0d4e79f2550/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As the manager of our applied methods Data Science team, based in the UK, you will lead a group of data scientists who act as trusted partners to the Autonomy org. Your team turns experimental and observational analysis of real and simulated driving into the evals and insights that let engineering teams hill-climb rapidly towards our customer commitments. Your remit is to broaden that team's impact, speed up its delivery, and scale it through both additional headcount and technology, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.
Key responsibilities:
Set and align priorities with stakeholders across Autonomy, and maintain provisional 3/6/12 month roadmaps that balance customer demand against team capacity
Work with your technical leads and senior engineers to review technical proposals and designs, holding a high bar for statistical rigour and eval fidelity
Monitor status and delivery cadence, surface schedule slippage early, and manage the trade-offs with customers
Grow the team: hire and onboard new data scientists, and invest in the tooling and automation that let the team scale beyond headcount alone
Guide career growth conversations with your engineers, matching business needs to development opportunities and building out progression pathways
Build the cross-functional relationships that keep the team close to its customers and ahead of where support will be needed
3+ years experience managing a team of 5+ ICs
Track record of growing and maintaining high-performing teams
A strong data science foundation of your own, including experience applying causal inference methods, whether experimental or observational
Track record of building strong working relationships with cross-functional stakeholders and customers, and of turning their needs into team priorities
Experience setting technical direction and reviewing the designs and proposals of senior engineers
Comfortable planning and communicating roadmaps, and managing delivery and expectations with demanding customers
Comfortable working asynchronously across time zones with cross-functional partners
You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it
Experience building or scaling an applied or embedded data science function, including the technology and tooling that lets a team scale beyond headcount
Familiarity with simulation, offline evaluation, or measurement for ML systems, ideally generalising across vehicle platforms and sensor stacks
Practical experience with machine learning (e.g. pytorch), and a track record of taking research ideas to production
Track record of promoting statistical rigour and experimental best practice across a team
Prior experience with large datasets and distributed computing (e.g. spark, hadoop or other map-reduce tech)
Experience working in a fast-moving tech company or startup
This is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs the manager of our applied methods Data Science team, based in the UK, you will lead a group of data scientists who act as trusted partners to the Autonomy org. Your team turns experimental and observational analysis of real and simulated driving into the evals and insights that let engineering teams hill-climb rapidly towards our customer commitments. Your remit is to broaden that team's impact, speed up its delivery, and scale it through both additional headcount and technology, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.\n\nKey responsibilities:\n\n - Set and align priorities with stakeholders across Autonomy, and maintain provisional 3/6/12 month roadmaps that balance customer demand against team capacity\n\n - Work with your technical leads and senior engineers to review technical proposals and designs, holding a high bar for statistical rigour and eval fidelity\n\n - Monitor status and delivery cadence, surface schedule slippage early, and manage the trade-offs with customers\n\n - Grow the team: hire and onboard new data scientists, and invest in the tooling and automation that let the team scale beyond headcount alone\n\n - Guide career growth conversations with your engineers, matching business needs to development opportunities and building out progression pathways\n\n - Build the cross-functional relationships that keep the team close to its customers and ahead of where support will be needed\n\n\nABOUT YOU\n\n\nESSENTIAL\n\n - 3+ years experience managing a team of 5+ ICs\n\n - Track record of growing and maintaining high-performing teams\n\n - A strong data science foundation of your own, including experience applying causal inference methods, whether experimental or observational\n\n - Track record of building strong working relationships with cross-functional stakeholders and customers, and of turning their needs into team priorities\n\n - Experience setting technical direction and reviewing the designs and proposals of senior engineers\n\n - Comfortable planning and communicating roadmaps, and managing delivery and expectations with demanding customers\n\n - Comfortable working asynchronously across time zones with cross-functional partners\n\n - You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it\n\n\nDESIRABLE\n\n - Experience building or scaling an applied or embedded data science function, including the technology and tooling that lets a team scale beyond headcount\n\n - Familiarity with simulation, offline evaluation, or measurement for ML systems, ideally generalising across vehicle platforms and sensor stacks\n\n - Practical experience with machine learning (e.g. pytorch), and a track record of taking research ideas to production\n\n - Track record of promoting statistical rigour and experimental best practice across a team\n\n - Prior experience with large datasets and distributed computing (e.g. spark, hadoop or other map-reduce tech)\n\n - Experience working in a fast-moving tech company or startup\n\nThis is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"723b2b78-0f24-4c96-8261-918ac7453b3d","title":"Staff Tech Lead Manager, Machine Learning, Vision Models","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-19T20:06:06.783+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/723b2b78-0f24-4c96-8261-918ac7453b3d","applyUrl":"https://jobs.ashbyhq.com/wayve/723b2b78-0f24-4c96-8261-918ac7453b3d/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Staff Tech Lead Manager on Wayve's Measurement team in AI Evaluation, based in our London office, you will lead a team building and productionising offline scene understanding models. You will directly manage four Senior Machine Learning Engineers and own the technical direction for turning technology from our on-vehicle models and Wayve Foundation Models into the robust, scalable scene understanding models that power our validation machine. You should be motivated by measurement and evaluation as a first-class engineering discipline.
Your team's mission is to predict and explain counterfactual outcomes, answering the question \"what would have happened if we'd used a different driving model?\", and to build the models that let Wayve understand coverage, mine rare events, and assess the behaviour of our end-to-end AV2.0 driver after on-road runs and in simulation. The offline environment gives the team headroom the vehicle never has: more compute per frame, larger models, and access to both past and future temporal context. The outputs are mission-critical, directly informing model development decisions and customer deliverables. This work currently spans several teams and sites, and you will pull it together into one coherent technical direction, working closely with on-vehicle modelling in AV Core, foundation model teams, Evaluation, simulation, and Model Development Platform across the UK and US.
Key responsibilities
Lead and grow the team - directly manage four Senior MLEs in London; hire complementary talent across MLE, SWE, and data science profiles as scope grows; develop strong senior ICs and hold a high bar.
Own the technical direction - guide the architecture for adapting shared on-vehicle models and Wayve Foundation Models for offline measurement use, exploiting the advantages of the offline environment: higher compute budgets, larger model capacity, and access to past and future temporal context.
Own the roadmap - drive planning at sprint, quarterly, and annual cadences; translate ambiguous business goals into concrete technical programmes; be equally comfortable setting multi-year direction and getting into the weeds of a sprint review.
Drive production quality - build rigorous engineering practice for ML systems relied on for customer-facing deliverables; champion rig-agnostic, generalisable architectures with clean interfaces; hold the line on architectural quality in a fast-moving environment.
Accelerate the development loop - ensure your team's models reduce the time between a driving-model iteration and reliable, actionable feedback; make the whole AV development loop faster.
Partner and anticipate - align roadmaps with on-vehicle modelling and Evaluation teams across the UK and US; resolve technical conflicts at the right level; identify capability gaps 6-24 months out and build the case for investment to close them.
In order to set you up for success as a Staff Tech Lead Manager at Wayve, we're looking for the following skills and experience.
Essential
8+ years in ML engineering, including hands-on computer vision with camera and/or lidar sensor data, and a track record of shipping production ML systems from research through to reliable, monitored, customer-facing software.
2+ years line-managing or tech-leading senior engineers, including hiring, developing, and retaining strong ICs, with the appetite to keep doing both halves of the TLM role.
Staff-level technical depth that earns the trust of senior MLEs: transformer-based and multimodal architectures, foundation models, and large-scale training, with the ability to review designs and code credibly.
Proficient in Python and ML frameworks (esp. PyTorch), with strong judgement about what production-grade looks like for ML systems.
Strong cross-functional leadership: aligning roadmaps across teams and geographies, and communicating technical context and strategic direction clearly to engineers and senior leadership.
Desirable
Knowledge of perception systems and 3D scene understanding for autonomy, such as cuboid detection, lane estimation, depth estimation, and large-scale semantic enrichment of driving scenes.
Experience with offboard or offline models: auto-labelling, model distillation, temporal or world models, or other ways of exploiting compute that on-vehicle systems cannot.
Familiarity with simulation or counterfactual evaluation methods for autonomous systems.
Experience leading or partnering with distributed teams across UK and US time zones.
MS or PhD in Computer Science, Engineering, or a related field.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a Staff Tech Lead Manager on Wayve's Measurement team in AI Evaluation, based in our London office, you will lead a team building and productionising offline scene understanding models. You will directly manage four Senior Machine Learning Engineers and own the technical direction for turning technology from our on-vehicle models and Wayve Foundation Models into the robust, scalable scene understanding models that power our validation machine. You should be motivated by measurement and evaluation as a first-class engineering discipline.\n\nYour team's mission is to predict and explain counterfactual outcomes, answering the question \"what would have happened if we'd used a different driving model?\", and to build the models that let Wayve understand coverage, mine rare events, and assess the behaviour of our end-to-end AV2.0 driver after on-road runs and in simulation. The offline environment gives the team headroom the vehicle never has: more compute per frame, larger models, and access to both past and future temporal context. The outputs are mission-critical, directly informing model development decisions and customer deliverables. This work currently spans several teams and sites, and you will pull it together into one coherent technical direction, working closely with on-vehicle modelling in AV Core, foundation model teams, Evaluation, simulation, and Model Development Platform across the UK and US.\n\nKey responsibilities\n\n - Lead and grow the team - directly manage four Senior MLEs in London; hire complementary talent across MLE, SWE, and data science profiles as scope grows; develop strong senior ICs and hold a high bar.\n\n - Own the technical direction - guide the architecture for adapting shared on-vehicle models and Wayve Foundation Models for offline measurement use, exploiting the advantages of the offline environment: higher compute budgets, larger model capacity, and access to past and future temporal context.\n\n - Own the roadmap - drive planning at sprint, quarterly, and annual cadences; translate ambiguous business goals into concrete technical programmes; be equally comfortable setting multi-year direction and getting into the weeds of a sprint review.\n\n - Drive production quality - build rigorous engineering practice for ML systems relied on for customer-facing deliverables; champion rig-agnostic, generalisable architectures with clean interfaces; hold the line on architectural quality in a fast-moving environment.\n\n - Accelerate the development loop - ensure your team's models reduce the time between a driving-model iteration and reliable, actionable feedback; make the whole AV development loop faster.\n\n - Partner and anticipate - align roadmaps with on-vehicle modelling and Evaluation teams across the UK and US; resolve technical conflicts at the right level; identify capability gaps 6-24 months out and build the case for investment to close them.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Staff Tech Lead Manager at Wayve, we're looking for the following skills and experience.\n\nEssential \n\n - 8+ years in ML engineering, including hands-on computer vision with camera and/or lidar sensor data, and a track record of shipping production ML systems from research through to reliable, monitored, customer-facing software.\n\n - 2+ years line-managing or tech-leading senior engineers, including hiring, developing, and retaining strong ICs, with the appetite to keep doing both halves of the TLM role.\n\n - Staff-level technical depth that earns the trust of senior MLEs: transformer-based and multimodal architectures, foundation models, and large-scale training, with the ability to review designs and code credibly.\n\n - Proficient in Python and ML frameworks (esp. PyTorch), with strong judgement about what production-grade looks like for ML systems.\n\n - Strong cross-functional leadership: aligning roadmaps across teams and geographies, and communicating technical context and strategic direction clearly to engineers and senior leadership.\n\nDesirable \n\n - Knowledge of perception systems and 3D scene understanding for autonomy, such as cuboid detection, lane estimation, depth estimation, and large-scale semantic enrichment of driving scenes.\n\n - Experience with offboard or offline models: auto-labelling, model distillation, temporal or world models, or other ways of exploiting compute that on-vehicle systems cannot.\n\n - Familiarity with simulation or counterfactual evaluation methods for autonomous systems.\n\n - Experience leading or partnering with distributed teams across UK and US time zones.\n\n - MS or PhD in Computer Science, Engineering, or a related field.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"7454468e-ffad-487d-99c2-32929083fba4","title":"Senior Software Engineer - Runtime Platform, Robot Software","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-23T17:11:55.486+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/7454468e-ffad-487d-99c2-32929083fba4","applyUrl":"https://jobs.ashbyhq.com/wayve/7454468e-ffad-487d-99c2-32929083fba4/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.
The Runtime Platform team equips all Wayve teams with the observability, profiling tools, and infrastructure needed to understand and optimise software performance across our development fleet. We work closely with teams to investigate issues, reduce bottlenecks, and promote best practices. Our work enhances core onboard components to ensure efficient use of compute and a solid foundation for running model experiments at scale. We also provide the tooling and infrastructure needed to quickly detect, diagnose, and address performance regressions, helping teams move faster with greater confidence.
Investigate latency and performance bottlenecks across the entire software stack
Instrument code with profiling tools and metrics to collect performance data and identify optimization opportunities
Integrate and evaluate new profiling and instrumentation tools to benchmark system performance and establish baselines
Collaborate with multiple teams to understand their performance pain points and prioritize optimization efforts based on impact
Optimize critical code paths and algorithms to improve runtime efficiency, reduce latency, and enhance overall system performance
In order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience.
Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C++. Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization
Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks
Proven track record of methodical experiment evaluation
Strong technical background on OS scheduling, computer architecture (memory hierarchy, CPU caches, context switches, …), and thread synchronisation
Familiarity with Nvidia performance tools such as NV NSight, NV Lumos and tegrastat
Familiarity with observability tools such as Grafana (logs, metrics, traces), Databricks, Datadog
Familiarity with QNX and Momentics is a plus
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.\n\nThe Runtime Platform team equips all Wayve teams with the observability, profiling tools, and infrastructure needed to understand and optimise software performance across our development fleet. We work closely with teams to investigate issues, reduce bottlenecks, and promote best practices. Our work enhances core onboard components to ensure efficient use of compute and a solid foundation for running model experiments at scale. We also provide the tooling and infrastructure needed to quickly detect, diagnose, and address performance regressions, helping teams move faster with greater confidence.\n\n\nKEY RESPONSIBILITIES:\n\n - Investigate latency and performance bottlenecks across the entire software stack\n\n - Instrument code with profiling tools and metrics to collect performance data and identify optimization opportunities\n\n - Integrate and evaluate new profiling and instrumentation tools to benchmark system performance and establish baselines\n\n - Collaborate with multiple teams to understand their performance pain points and prioritize optimization efforts based on impact\n\n - Optimize critical code paths and algorithms to improve runtime efficiency, reduce latency, and enhance overall system performance\n\n\nABOUT YOU \n\nIn order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience. \n\n\nESSENTIAL \n\n - Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C++. Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization\n\n - Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks\n\n - Proven track record of methodical experiment evaluation\n\n - Strong technical background on OS scheduling, computer architecture (memory hierarchy, CPU caches, context switches, …), and thread synchronisation\n\n\nDESIRABLE \n\n - Familiarity with Nvidia performance tools such as NV NSight, NV Lumos and tegrastat\n\n - Familiarity with observability tools such as Grafana (logs, metrics, traces), Databricks, Datadog\n\n - Familiarity with QNX and Momentics is a plus\n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"e9d8a04f-c4ce-434e-9a42-d0633c00b60e","title":"Software Engineer, Fleet Management","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-21T18:01:11.854+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/e9d8a04f-c4ce-434e-9a42-d0633c00b60e","applyUrl":"https://jobs.ashbyhq.com/wayve/e9d8a04f-c4ce-434e-9a42-d0633c00b60e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Software Engineer on our Fleet Management team, you'll build the tools and services that let Wayve's engineers and operators manage a global fleet of autonomous vehicles and data-collection devices. The work spans frontend, backend, APIs, cloud services, and data — covering vehicle health tracking, software and configuration management, and location-based services.
You'll work alongside more senior engineers, contributing to technical design and taking ownership of features and services end-to-end.
Key responsibilities
Build and maintain full-stack features across Fleet Management services.
Contribute across frontend, backend, API, database, and cloud service implementation.
Contribute to technical design discussions and help deliver scalable, maintainable solutions.
Write well-tested, maintainable, and performant code.
Review peers' code to support quality, consistency, and shared learning.
Build and support systems that help Fleet Operations and Engineering monitor vehicle health, configuration, software status, and location.
About you
Essential skills
Professional software engineering experience building full-stack web applications or services.
Hands-on experience across frontend and backend development, with enough breadth to contribute across the stack.
Experience designing or working with APIs, databases, schemas, and backend services.
The ability to deliver clean, tested, maintainable code.
Familiarity with cloud services, distributed systems, or microservices.
Desirable skills
Experience with React, TypeScript, MUI, Rust, Go, Node.js, Kubernetes, Bazel, or Azure.
Experience working on fleet management, robotics, autonomy, drone, vehicle, or operational tooling products.
Experience with scalable backend systems, monitoring, reliability, or high-volume data workflows.
This is a full-time role based in our office Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
The reasonably estimated salary for this role ranges from $176,500 to $220,800 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Software Engineer on our Fleet Management team, you'll build the tools and services that let Wayve's engineers and operators manage a global fleet of autonomous vehicles and data-collection devices. The work spans frontend, backend, APIs, cloud services, and data — covering vehicle health tracking, software and configuration management, and location-based services.\n\nYou'll work alongside more senior engineers, contributing to technical design and taking ownership of features and services end-to-end.\n\nKey responsibilities\n\n - Build and maintain full-stack features across Fleet Management services.\n\n - Contribute across frontend, backend, API, database, and cloud service implementation.\n\n - Contribute to technical design discussions and help deliver scalable, maintainable solutions.\n\n - Write well-tested, maintainable, and performant code.\n\n - Review peers' code to support quality, consistency, and shared learning.\n\n - Build and support systems that help Fleet Operations and Engineering monitor vehicle health, configuration, software status, and location.\n\nAbout you\n\nEssential skills\n\n - Professional software engineering experience building full-stack web applications or services.\n\n - Hands-on experience across frontend and backend development, with enough breadth to contribute across the stack.\n\n - Experience designing or working with APIs, databases, schemas, and backend services.\n\n - The ability to deliver clean, tested, maintainable code.\n\n - Familiarity with cloud services, distributed systems, or microservices.\n\nDesirable skills\n\n - Experience with React, TypeScript, MUI, Rust, Go, Node.js, Kubernetes, Bazel, or Azure.\n\n - Experience working on fleet management, robotics, autonomy, drone, vehicle, or operational tooling products.\n\n - Experience with scalable backend systems, monitoring, reliability, or high-volume data workflows.\n\nThis is a full-time role based in our office Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nThe reasonably estimated salary for this role ranges from $176,500 to $220,800 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience\n\nFor more information visit Careers at Wayve. https://wayve.ai/careers/\n\nTo learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"979bc386-1ee4-4e81-acd5-30a4e647c9a0","title":"Senior Machine Learning Engineer, Vision Models","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-19T20:07:14.108+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/979bc386-1ee4-4e81-acd5-30a4e647c9a0","applyUrl":"https://jobs.ashbyhq.com/wayve/979bc386-1ee4-4e81-acd5-30a4e647c9a0/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Senior Machine Learning Engineer on Wayve's Measurement team in AI Evaluation, based in our Sunnyvale office, you will build the computer vision and scene understanding models Wayve uses to measure the performance of the Wayve Driver offline. You will adapt technology from our on-vehicle models and Wayve Foundation Models into offline models that understand coverage, mine rare events, and assess driving behaviour, and you will drive their accuracy and generalisation across vehicles, markets, and conditions. Measuring your own models rigorously is part of the work. You will define ground truth and correctness criteria across a complex driving taxonomy, and turn them into automated benchmarks and evidence that our validation pipelines and safety cases can stand on.
The Measurement team builds and qualifies the scene understanding models Wayve uses to measure driving performance offline, after on-road runs and in simulation. Offline is where the interesting headroom is: more compute per frame, larger foundation models, and access to both past and future temporal context that the vehicle never has. The outputs are mission-critical, directly informing model development decisions and customer deliverables. You will work in a focused, high-impact senior team with strong ownership, access to fleet-scale camera, lidar, and simulation data, and close partners across on-vehicle modelling, evaluation, data curation, and simulation.
Key responsibilities
Develop the models - build, train, and fine-tune the scene understanding models at the centre of Wayve's offline measurement, adapting on-vehicle architectures and Wayve Foundation Models for offline use.
Drive accuracy and generalisation - improve model performance across vehicle platforms, geographies, and driving conditions; diagnose failure modes and close the loop on blind spots.
Exploit the offline environment - use the advantages the vehicle does not have: higher compute budgets, larger model capacity, bidirectional temporal context, and multi-task or joint representation learning.
Measure what you build - benchmark your models, set quality bars, and use metrics and error analysis to steer the next iteration; treat measurement as the feedback that drives the modelling.
Make the evidence credible - ensure benchmarked results are statistically defensible and fit to feed validation pipelines at scale and our broader safety cases, across the product portfolio.
Align priorities and mentor - work day-to-day with on-vehicle modelling, evaluation, data curation, and simulation teams across sites; contribute to strong engineering and modelling practice; mentor others on the team; understand how the team's priorities connect to the wider division..
In order to set you up for success as a Senior Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.
Essential
4+ years in ML engineering, including training and shipping deep learning models in production, comfortable taking ambiguous modelling problems from scoping through to a working solution.
Hands-on experience training modern computer vision models, including transformer-based and multimodal or VLM architectures for detection, segmentation, classification, or scene understanding, on camera and/or lidar sensor data.
Experience adapting or fine-tuning large pretrained or foundation models, and training shared representations across multiple tasks or objectives (multi-stage or joint training), including real trade-offs across data and losses.
Proficient in Python and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices and comfort with large-scale training.
Strong ownership: research-literate and pragmatic, able to drive a significant modelling workstream with autonomy, collaborate across teams, and mentor less experienced engineers.
Able to measure your own models: comfortable defining and reading the metrics that show whether a model is genuinely improving.
Desirable
Experience in 3D scene understanding and representation learning for geometric and semantic perception, including large-scale semantic enrichment of driving scenes.
Experience with offboard or offline modelling: auto-labelling, model distillation, temporal or world models, or other ways of exploiting compute that on-vehicle systems cannot.
Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.
Experience with fleet-scale data and large-scale distributed training infrastructure.
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $311,850–$370,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a Senior Machine Learning Engineer on Wayve's Measurement team in AI Evaluation, based in our Sunnyvale office, you will build the computer vision and scene understanding models Wayve uses to measure the performance of the Wayve Driver offline. You will adapt technology from our on-vehicle models and Wayve Foundation Models into offline models that understand coverage, mine rare events, and assess driving behaviour, and you will drive their accuracy and generalisation across vehicles, markets, and conditions. Measuring your own models rigorously is part of the work. You will define ground truth and correctness criteria across a complex driving taxonomy, and turn them into automated benchmarks and evidence that our validation pipelines and safety cases can stand on.\n\nThe Measurement team builds and qualifies the scene understanding models Wayve uses to measure driving performance offline, after on-road runs and in simulation. Offline is where the interesting headroom is: more compute per frame, larger foundation models, and access to both past and future temporal context that the vehicle never has. The outputs are mission-critical, directly informing model development decisions and customer deliverables. You will work in a focused, high-impact senior team with strong ownership, access to fleet-scale camera, lidar, and simulation data, and close partners across on-vehicle modelling, evaluation, data curation, and simulation.\n\nKey responsibilities\n\n - Develop the models - build, train, and fine-tune the scene understanding models at the centre of Wayve's offline measurement, adapting on-vehicle architectures and Wayve Foundation Models for offline use.\n\n - Drive accuracy and generalisation - improve model performance across vehicle platforms, geographies, and driving conditions; diagnose failure modes and close the loop on blind spots.\n\n - Exploit the offline environment - use the advantages the vehicle does not have: higher compute budgets, larger model capacity, bidirectional temporal context, and multi-task or joint representation learning.\n\n - Measure what you build - benchmark your models, set quality bars, and use metrics and error analysis to steer the next iteration; treat measurement as the feedback that drives the modelling.\n\n - Make the evidence credible - ensure benchmarked results are statistically defensible and fit to feed validation pipelines at scale and our broader safety cases, across the product portfolio.\n\n - Align priorities and mentor - work day-to-day with on-vehicle modelling, evaluation, data curation, and simulation teams across sites; contribute to strong engineering and modelling practice; mentor others on the team; understand how the team's priorities connect to the wider division..\n\n\nABOUT YOU \n\nIn order to set you up for success as a Senior Machine Learning Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - 4+ years in ML engineering, including training and shipping deep learning models in production, comfortable taking ambiguous modelling problems from scoping through to a working solution.\n\n - Hands-on experience training modern computer vision models, including transformer-based and multimodal or VLM architectures for detection, segmentation, classification, or scene understanding, on camera and/or lidar sensor data.\n\n - Experience adapting or fine-tuning large pretrained or foundation models, and training shared representations across multiple tasks or objectives (multi-stage or joint training), including real trade-offs across data and losses.\n\n - Proficient in Python and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices and comfort with large-scale training.\n\n - Strong ownership: research-literate and pragmatic, able to drive a significant modelling workstream with autonomy, collaborate across teams, and mentor less experienced engineers.\n\n - Able to measure your own models: comfortable defining and reading the metrics that show whether a model is genuinely improving.\n\nDesirable \n\n - Experience in 3D scene understanding and representation learning for geometric and semantic perception, including large-scale semantic enrichment of driving scenes.\n\n - Experience with offboard or offline modelling: auto-labelling, model distillation, temporal or world models, or other ways of exploiting compute that on-vehicle systems cannot.\n\n - Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.\n\n - Experience with fleet-scale data and large-scale distributed training infrastructure.\n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $311,850–$370,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"0960bb2f-b910-40e8-8c31-dd37a5a9ca33","title":"Robotaxi Commercial Manager","department":"Commercial & Operations","team":"Commercial & Operations","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-21T01:08:09.506+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/0960bb2f-b910-40e8-8c31-dd37a5a9ca33","applyUrl":"https://jobs.ashbyhq.com/wayve/0960bb2f-b910-40e8-8c31-dd37a5a9ca33/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
Wayve is building the AI Driver to power autonomous mobility at global scale. As we deploy robotaxi services with leading partners, we are hiring a Strategic Partnerships Manager to help scale our commercial ecosystem in London and Tokyo. This is a high-impact role at the intersection of autonomy, mobility platforms, and automotive OEMs — focused on enabling safe, scalable L4 deployment.
You will lead day-to-day commercial execution of Wayve’s robotaxi partnerships in your market, working closely with ride-hailing platforms, OEM partners, and cross-functional internal teams to deliver successful pilot launches and fleet scale-up.
This role combines strategic thinking with hands-on execution across product readiness, operational launch, and commercial scaling.
Key responsibilities
Drive commercial execution of robotaxi deployments in the US
Serve as the primary partnership manager to interface with ride-hailing and broader ecosystem partners
Drive launch readiness across technical integration, fleet ramp, and operational milestones
Track performance KPIs and proactively manage commercial and operational risks
Coordinate cross-functionally across Engineering, Product, Safety, Operations, Policy, and Marketing to ensure successful deployments
Support market expansion planning and long-term scaling to production vehicles.
About you
In order to set you up for success as a Commercial Manager at Wayve, we’re looking for the following skills and experience.
Essential
Strong ownership mindset with a proven track record of driving initiatives from strategy through execution with measurable commercial or operational impact.
Commercially rigorous and action-oriented, with experience managing complex external partnerships with accountability for outcomes.
Demonstrated ability to operate in fast-moving, ambiguous environments, bringing structure, clarity, and momentum to evolving situations.
Credible cross-functional leader, able to align engineering, product, operations, safety, and policy teams around shared objectives.
Experienced in managing performance, risk, and competing priorities, using data and structured thinking to proactively resolve issues.
Balances long-term scaling vision with near-term delivery discipline, particularly in complex or regulated environments.
Desirable
6+ years in strategic partnerships, mobility, autonomy, AI or technology platforms
Experience in highly regulated industries or operational market launches of an innovative product
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $182,100 to $241,900, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nWayve is building the AI Driver to power autonomous mobility at global scale. As we deploy robotaxi services with leading partners, we are hiring a Strategic Partnerships Manager to help scale our commercial ecosystem in London and Tokyo. This is a high-impact role at the intersection of autonomy, mobility platforms, and automotive OEMs — focused on enabling safe, scalable L4 deployment.\n\nYou will lead day-to-day commercial execution of Wayve’s robotaxi partnerships in your market, working closely with ride-hailing platforms, OEM partners, and cross-functional internal teams to deliver successful pilot launches and fleet scale-up.\n\nThis role combines strategic thinking with hands-on execution across product readiness, operational launch, and commercial scaling.\n\nKey responsibilities\n\n - Drive commercial execution of robotaxi deployments in the US\n\n - Serve as the primary partnership manager to interface with ride-hailing and broader ecosystem partners\n\n - Drive launch readiness across technical integration, fleet ramp, and operational milestones\n\n - Track performance KPIs and proactively manage commercial and operational risks\n\n - Coordinate cross-functionally across Engineering, Product, Safety, Operations, Policy, and Marketing to ensure successful deployments\n\n - Support market expansion planning and long-term scaling to production vehicles.\n\nAbout you\n\nIn order to set you up for success as a Commercial Manager at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Strong ownership mindset with a proven track record of driving initiatives from strategy through execution with measurable commercial or operational impact.\n\n - Commercially rigorous and action-oriented, with experience managing complex external partnerships with accountability for outcomes.\n\n - Demonstrated ability to operate in fast-moving, ambiguous environments, bringing structure, clarity, and momentum to evolving situations.\n\n - Credible cross-functional leader, able to align engineering, product, operations, safety, and policy teams around shared objectives.\n\n - Experienced in managing performance, risk, and competing priorities, using data and structured thinking to proactively resolve issues.\n\n - Balances long-term scaling vision with near-term delivery discipline, particularly in complex or regulated environments.\n\nDesirable\n\n - 6+ years in strategic partnerships, mobility, autonomy, AI or technology platforms\n\n - Experience in highly regulated industries or operational market launches of an innovative product\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $182,100 to $241,900, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"a399c3c7-10e2-42a8-8103-6a07c70a0384","title":"Engineering Manager, Cloud Infrastructure ","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-21T18:02:29.316+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/a399c3c7-10e2-42a8-8103-6a07c70a0384","applyUrl":"https://jobs.ashbyhq.com/wayve/a399c3c7-10e2-42a8-8103-6a07c70a0384/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
Lead a seasoned Platform Engineering team with visibility across the entire engineering organization. This team owns the multi-cloud foundation that every other engineering team builds on, so your decisions and your team's work are felt company-wide. You'll shape how we scale that foundation while keeping quality, cost, and security front and center as the business grows.
Key responsibilities
Manage a team of Platform Engineers, coaching them to drive strong impact.
Drive the technical roadmap for cloud infrastructure with the tech lead.
Own cost visibility and efficiency as cloud usage scales.
Partner with Security on governance, access, and compliance.
Balance resourcing against business needs and individual capacity.
Keep prioritization sharp and processes lean.
Partner with leadership to sustain a culture of collaboration, impact, and innovation.
Hire and grow the team, anticipating business needs and pitching investment to leadership.
Contribute to the day-to-day running of the Software team’s operations and larger collaborative efforts.
About you
Wayve is scaling fast, and we're looking for someone who's passionate about laying the cornerstone: building the cloud infrastructure foundations and best practices that will support the company for years to come. Here's what will help you thrive as our Engineering Manager, Cloud Infrastructure.
Essential
3+ years of experience as an Engineering Manager in software or developer operations.
Experience balancing project work with support and operational load.
Passion for developing individual team members.
Strong roadmap planning, stakeholder management, and cross-team alignment.
Hands-on experience with a major cloud provider (Azure, AWS, or GCP) at scale.
Knowledge of infrastructure-as-code (Terraform or similar).
Familiarity with Linux and container orchestration (Kubernetes or similar).
BS, MS, or PhD in Computer Science, Engineering, or equivalent experience.
Desirable
Experience operating a multi-cloud environment.
Knowledge of build systems and modern CI/CD solutions.
Experience developing in Python.
This is a full-time role based in our office in Sunnyvale and the reasonably estimated salary for this role ranges from $276,100 to $311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nLead a seasoned Platform Engineering team with visibility across the entire engineering organization. This team owns the multi-cloud foundation that every other engineering team builds on, so your decisions and your team's work are felt company-wide. You'll shape how we scale that foundation while keeping quality, cost, and security front and center as the business grows.\n\nKey responsibilities\n\n - Manage a team of Platform Engineers, coaching them to drive strong impact.\n\n - Drive the technical roadmap for cloud infrastructure with the tech lead.\n\n - Own cost visibility and efficiency as cloud usage scales.\n\n - Partner with Security on governance, access, and compliance.\n\n - Balance resourcing against business needs and individual capacity.\n\n - Keep prioritization sharp and processes lean.\n\n - Partner with leadership to sustain a culture of collaboration, impact, and innovation.\n\n - Hire and grow the team, anticipating business needs and pitching investment to leadership.\n\n - Contribute to the day-to-day running of the Software team’s operations and larger collaborative efforts.\n\nAbout you\n\nWayve is scaling fast, and we're looking for someone who's passionate about laying the cornerstone: building the cloud infrastructure foundations and best practices that will support the company for years to come. Here's what will help you thrive as our Engineering Manager, Cloud Infrastructure.\n\nEssential\n\n - 3+ years of experience as an Engineering Manager in software or developer operations.\n\n - Experience balancing project work with support and operational load.\n\n - Passion for developing individual team members.\n\n - Strong roadmap planning, stakeholder management, and cross-team alignment.\n\n - Hands-on experience with a major cloud provider (Azure, AWS, or GCP) at scale.\n\n - Knowledge of infrastructure-as-code (Terraform or similar).\n\n - Familiarity with Linux and container orchestration (Kubernetes or similar).\n\n - BS, MS, or PhD in Computer Science, Engineering, or equivalent experience.\n\nDesirable\n\n - Experience operating a multi-cloud environment.\n\n - Knowledge of build systems and modern CI/CD solutions.\n\n - Experience developing in Python.\n\nThis is a full-time role based in our office in Sunnyvale and the reasonably estimated salary for this role ranges from $276,100 to $311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. \n\nAt Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"b37bdb93-6021-423a-b5bf-b5e56cbb69e4","title":"Senior Software Engineer, Fleet Management","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-20T17:22:28.004+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/b37bdb93-6021-423a-b5bf-b5e56cbb69e4","applyUrl":"https://jobs.ashbyhq.com/wayve/b37bdb93-6021-423a-b5bf-b5e56cbb69e4/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Senior Software Engineer on our Fleet Management team, you'll build the platform that lets Wayve's engineers and operators deploy software, monitor vehicle health, and understand what's happening across the fleet in real time. The team also plays a central role in Wayve's robotaxi operations, acting as the interface between our vehicles and the external services that dispatch and manage autonomous rides. These aren't traditional enterprise tools; the software you build connects our engineers and operators directly with vehicles operating on public roads.
You'll take projects from problem definition through technical design, implementation, deployment, and operation, working directly with Research, Safety, Operations, SRE, and Infrastructure to deliver solutions that scale with Wayve's growing fleet.
This is an opportunity to join an early-stage team building fleet infrastructure across a global AV fleet and multiple OEM integrations — each with its own configuration, protocols, and engineering challenges. You'll shape how the team works as much as what it builds.
Build reliable distributed services and workflows for deploying software, AI models, and configurations across vehicles that may be intermittently connected; solve for correctness, ordering, and rollback in environments where connectivity is not guaranteed.
Build and maintain the services that support robotaxi operations — the interfaces and systems that connect Wayve's vehicles to external dispatch services and enable remote autonomous operations at scale.
Develop scalable services, APIs, and intuitive interfaces that give engineers deep visibility into vehicle state and enable fast, confident diagnosis of issues.
Build tools and services that enable engineers and researchers to explore and understand large volumes of vehicle telemetry and operational data.
Develop reporting and analytics tools that track vehicle utilisation, system performance, and mission outcomes, enabling data-driven engineering and operational decisions.
Design and build systems spanning web applications, backend services, embedded APIs, and cloud infrastructure, taking end-to-end ownership of their quality and evolution in production.
Write high-quality, well-tested code, contribute to design and code reviews, and help other engineers grow.
Significant professional experience building, shipping, and operating production full-stack applications and web services, with strong hands-on depth across the stack: React, TypeScript, and MUI on the frontend; Rust, Go, and Node.js on the backend (Rust is a plus but not required); and Kubernetes, Azure, and Bazel for infrastructure.
Experience designing, building, and operating APIs and web services, including sound judgement around API contracts, data modelling, service boundaries, reliability, observability, and failure handling.
A track record of independently owning meaningful projects end-to-end, from problem definition and technical design through implementation, deployment, and production operation.
Experience with distributed systems and microservice architectures, with an understanding of reliability, consistency, scalability, and failure modes across service boundaries.
Experience using metrics, logs, traces, and observability tooling to understand production systems and make data-driven decisions.
Clear communication skills and the ability to work effectively with Product, engineering, and operational teams across the organisation.
An interest in mentoring engineers, improving engineering practices, and contributing to technical direction.
Experience with autonomous vehicles, self-driving technology, robotaxi operations, robotics, or connected vehicle fleets.
Experience building data pipelines, analytics tools, or working with large-scale telemetry data.
Background in distributed systems, networking, or embedded and on-device software.
Experience with fleet management, OTA deployment, remote device management, or operational tooling.
Familiarity with multi-OEM or multi-platform environments where hardware configurations vary across integrations.
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
The reasonably estimated salary for this role ranges from $209,700 to $266,800 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Senior Software Engineer on our Fleet Management team, you'll build the platform that lets Wayve's engineers and operators deploy software, monitor vehicle health, and understand what's happening across the fleet in real time. The team also plays a central role in Wayve's robotaxi operations, acting as the interface between our vehicles and the external services that dispatch and manage autonomous rides. These aren't traditional enterprise tools; the software you build connects our engineers and operators directly with vehicles operating on public roads.\n\nYou'll take projects from problem definition through technical design, implementation, deployment, and operation, working directly with Research, Safety, Operations, SRE, and Infrastructure to deliver solutions that scale with Wayve's growing fleet.\n\nThis is an opportunity to join an early-stage team building fleet infrastructure across a global AV fleet and multiple OEM integrations — each with its own configuration, protocols, and engineering challenges. You'll shape how the team works as much as what it builds.\n\n\nKEY RESPONSIBILITIES\n\n - Build reliable distributed services and workflows for deploying software, AI models, and configurations across vehicles that may be intermittently connected; solve for correctness, ordering, and rollback in environments where connectivity is not guaranteed.\n\n - Build and maintain the services that support robotaxi operations — the interfaces and systems that connect Wayve's vehicles to external dispatch services and enable remote autonomous operations at scale.\n\n - Develop scalable services, APIs, and intuitive interfaces that give engineers deep visibility into vehicle state and enable fast, confident diagnosis of issues.\n\n - Build tools and services that enable engineers and researchers to explore and understand large volumes of vehicle telemetry and operational data.\n\n - Develop reporting and analytics tools that track vehicle utilisation, system performance, and mission outcomes, enabling data-driven engineering and operational decisions.\n\n - Design and build systems spanning web applications, backend services, embedded APIs, and cloud infrastructure, taking end-to-end ownership of their quality and evolution in production.\n\n - Write high-quality, well-tested code, contribute to design and code reviews, and help other engineers grow.\n\n\nABOUT YOU \n\n\nESSENTIAL SKILLS\n\n - Significant professional experience building, shipping, and operating production full-stack applications and web services, with strong hands-on depth across the stack: React, TypeScript, and MUI on the frontend; Rust, Go, and Node.js on the backend (Rust is a plus but not required); and Kubernetes, Azure, and Bazel for infrastructure.\n\n - Experience designing, building, and operating APIs and web services, including sound judgement around API contracts, data modelling, service boundaries, reliability, observability, and failure handling.\n\n - A track record of independently owning meaningful projects end-to-end, from problem definition and technical design through implementation, deployment, and production operation.\n\n - Experience with distributed systems and microservice architectures, with an understanding of reliability, consistency, scalability, and failure modes across service boundaries.\n\n - Experience using metrics, logs, traces, and observability tooling to understand production systems and make data-driven decisions.\n\n - Clear communication skills and the ability to work effectively with Product, engineering, and operational teams across the organisation.\n\n - An interest in mentoring engineers, improving engineering practices, and contributing to technical direction.\n\n\nDESIRABLE SKILLS\n\n - Experience with autonomous vehicles, self-driving technology, robotaxi operations, robotics, or connected vehicle fleets.\n\n - Experience building data pipelines, analytics tools, or working with large-scale telemetry data.\n\n - Background in distributed systems, networking, or embedded and on-device software.\n\n - Experience with fleet management, OTA deployment, remote device management, or operational tooling.\n\n - Familiarity with multi-OEM or multi-platform environments where hardware configurations vary across integrations.\n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nThe reasonably estimated salary for this role ranges from $209,700 to $266,800 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"ff0038f5-60a3-450b-aadb-874a25817776","title":"Senior Data Scientist","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-20T20:06:09.554+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/ff0038f5-60a3-450b-aadb-874a25817776","applyUrl":"https://jobs.ashbyhq.com/wayve/ff0038f5-60a3-450b-aadb-874a25817776/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.
This means you might:
Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements
3+ years experience working in a Data Science role.
Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
Track record of influencing team direction through your findings
A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
Comfortable working asynchronously across time zones with cross-functional partners
You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.
Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production.
Track record of promoting statistical rigour and experimental best practices in your prior roles.
Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
Experience working in a fast-moving tech company or startup.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.\n\nThis means you might:\n\n - Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success\n\n - Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance\n\n - Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements\n\n\nABOUT YOU\n\n\nESSENTIAL:\n\n - 3+ years experience working in a Data Science role.\n\n - Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.\n\n - Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics\n\n - Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats\n\n - Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)\n\n - Well-versed in summarising, visualising and communicating findings in an accessible and compelling way\n\n - Track record of influencing team direction through your findings\n\n - A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.\n\n - Comfortable working asynchronously across time zones with cross-functional partners\n\n - You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.\n\n\nDESIRABLE:\n\n - Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production.\n\n - Track record of promoting statistical rigour and experimental best practices in your prior roles.\n\n - Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.\n\n - Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)\n\n - Experience working in a fast-moving tech company or startup.\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"3c11f4b9-489b-4d57-a887-472f4b6ef388","title":"Full Stack Software Engineer, Evaluation Tools","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-20T16:28:42.805+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/3c11f4b9-489b-4d57-a887-472f4b6ef388","applyUrl":"https://jobs.ashbyhq.com/wayve/3c11f4b9-489b-4d57-a887-472f4b6ef388/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Evaluation Tools group builds the internal products that accelerate the full AI Driver development loop, from defining a test to debugging model behaviour. Model developers, researchers and QA engineers across Wayve depend on our tools to understand driving performance and scale evaluation to millions of scenarios, and every major model release runs through them.
You'll join the Search & Agents squad in Sunnyvale. We build the search, scenario mining and agentic tooling that lets anyone find the right driving scenarios and turn them into tests without writing SQL. Our work is the entry point to a fully agentic development loop: identify an issue → mine for scenarios → build and run a test suite → root-cause the failure → retrain → repeat.
You'll work across the stack and own features end-to-end: talking to users, shaping ideas, building robust software, and validating impact. Evaluation is an evolving challenge, so you'll also have plenty of opportunity to define new projects as user needs emerge.
Why this role matters
Make natural language scenario search reliable and self-service, so finding test data no longer depends on scarce SQL and mining expertise
Take scenario mining from proof-of-concept to production scale, unlocking certification-grade test creation for teams like Validation
Extend the evaluation MCP so agents can run search-to-test workflows end to end
Build trust in search and mining results, so teams can make fast, confident decisions grounded in clear evidence
Build fullstack features across search, scenario mining, agentic tooling, and the web applications our users work in to curate scenarios and build test suites
Work directly with users to understand pain points, then define and measure what success looks like (adoption, time saved, reliability) before you build
Ship high-quality software with strong attention to reliability, performance and maintainability
Contribute to architectural decisions that scale across the team’s products
Use AI tools to improve how we build, from speeding up development to refining team workflows and product quality
In order to set you up for success as a Fullstack Software Engineer at Wayve, we're looking for the following skills and experience.
Essential
Strong development skills in Python, TypeScript, and JavaScript, with experience using React or similar front-end frameworks
Strong SQL skills with a solid understanding of database design and optimisation
Experience designing and building production-level fullstack systems and reliable, high-performance APIs
Track record of building robust, maintainable systems and applying engineering best practices
Excellent communication and collaboration skills, including working effectively across time zones
Comfortable working independently in a fast-paced, high-context, ambiguous environment
You are a power user of AI development tools and have a mindset for building AI-augmented workflows
Desirable
Experience with search, embeddings or retrieval systems
Experience with the Databricks platform, and large-scale data processing with Spark or similar
Experience with job orchestration frameworks such as Flyte
Experience building agentic or LLM-powered developer tools (e.g. MCP servers)
Experience building tools for technical users (ML, robotics, infrastructure)
Experience with scientific data visualisation or complex data interfaces
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,000 to 266,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nThe Evaluation Tools group builds the internal products that accelerate the full AI Driver development loop, from defining a test to debugging model behaviour. Model developers, researchers and QA engineers across Wayve depend on our tools to understand driving performance and scale evaluation to millions of scenarios, and every major model release runs through them.\n\nYou'll join the Search & Agents squad in Sunnyvale. We build the search, scenario mining and agentic tooling that lets anyone find the right driving scenarios and turn them into tests without writing SQL. Our work is the entry point to a fully agentic development loop: identify an issue → mine for scenarios → build and run a test suite → root-cause the failure → retrain → repeat.\n\nYou'll work across the stack and own features end-to-end: talking to users, shaping ideas, building robust software, and validating impact. Evaluation is an evolving challenge, so you'll also have plenty of opportunity to define new projects as user needs emerge.\n\nWhy this role matters\n\n - Make natural language scenario search reliable and self-service, so finding test data no longer depends on scarce SQL and mining expertise\n\n - Take scenario mining from proof-of-concept to production scale, unlocking certification-grade test creation for teams like Validation\n\n - Extend the evaluation MCP so agents can run search-to-test workflows end to end\n\n - Build trust in search and mining results, so teams can make fast, confident decisions grounded in clear evidence\n\n\nCHALLENGES YOU WILL OWN\n\n - Build fullstack features across search, scenario mining, agentic tooling, and the web applications our users work in to curate scenarios and build test suites\n\n - Work directly with users to understand pain points, then define and measure what success looks like (adoption, time saved, reliability) before you build\n\n - Ship high-quality software with strong attention to reliability, performance and maintainability\n\n - Contribute to architectural decisions that scale across the team’s products\n\n - Use AI tools to improve how we build, from speeding up development to refining team workflows and product quality\n\n\nABOUT YOU\n\nIn order to set you up for success as a Fullstack Software Engineer at Wayve, we're looking for the following skills and experience.\n\nEssential\n\n - Strong development skills in Python, TypeScript, and JavaScript, with experience using React or similar front-end frameworks\n\n - Strong SQL skills with a solid understanding of database design and optimisation\n\n - Experience designing and building production-level fullstack systems and reliable, high-performance APIs\n\n - Track record of building robust, maintainable systems and applying engineering best practices\n\n - Excellent communication and collaboration skills, including working effectively across time zones\n\n - Comfortable working independently in a fast-paced, high-context, ambiguous environment\n\n - You are a power user of AI development tools and have a mindset for building AI-augmented workflows\n\nDesirable\n\n - Experience with search, embeddings or retrieval systems\n\n - Experience with the Databricks platform, and large-scale data processing with Spark or similar\n\n - Experience with job orchestration frameworks such as Flyte\n\n - Experience building agentic or LLM-powered developer tools (e.g. MCP servers)\n\n - Experience building tools for technical users (ML, robotics, infrastructure)\n\n - Experience with scientific data visualisation or complex data interfaces\n \n This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,000 to 266,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"fb510100-136f-4263-b91d-ef40e66bb514","title":"Senior Embedded Software Test Engineer, Onboard Test Automation","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-21T22:21:24.487+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/fb510100-136f-4263-b91d-ef40e66bb514","applyUrl":"https://jobs.ashbyhq.com/wayve/fb510100-136f-4263-b91d-ef40e66bb514/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As an Embedded Software Test Engineer at Wayve, you will play a key role in validating onboard software systems before they reach full-vehicle testing. You’ll work across a range of embedded compute platforms and operating systems to ensure software is reliable, integrated, and ready for real-world deployment. This is a high-impact role where your work directly improves software quality and enables faster iteration across multiple teams. You’ll help scale testing by building automated tests and empowering developers to validate their work earlier in the development cycle.
Design, develop, and execute automated tests for onboard software subsystems (OS, middleware, sensors, and integration points)
Validate software behavior on embedded hardware platforms within hardware-in-the-loop environments
Collaborate with software engineers to identify test gaps and build coverage for new and existing features
Debug and triage system-level issues across software and hardware boundaries
Enable developer self-service testing by contributing to CI pipelines and reusable test frameworks
Support expansion of test coverage by leveraging existing validation tests and shifting them earlier in the development cycle
In order to set you up for success as an Embedded Software Test Engineer at Wayve, we’re looking for the following skills and experience:
Experience testing embedded software systems, ideally on Linux or QNX-based platforms
Strong programming skills in Python, C++, or similar languages for test development and automation
Experience working with embedded hardware platforms and understanding hardware/software interactions
Proven ability to debug and triage complex issues across system layers
Understanding of software testing principles, including automation, integration testing, and system validation
Experience with hardware-in-the-loop (HiL) testing environments
Familiarity with sensor systems or data pipelines (e.g., camera, radar, or similar)
Experience working with CI/CD systems (e.g., Buildkite) and test pipeline integration
Exposure to robotics, autonomous systems, or real-time software environments
This is a full-time role based in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs an Embedded Software Test Engineer at Wayve, you will play a key role in validating onboard software systems before they reach full-vehicle testing. You’ll work across a range of embedded compute platforms and operating systems to ensure software is reliable, integrated, and ready for real-world deployment. This is a high-impact role where your work directly improves software quality and enables faster iteration across multiple teams. You’ll help scale testing by building automated tests and empowering developers to validate their work earlier in the development cycle.\n\n\nKEY RESPONSIBILITIES:\n\n - Design, develop, and execute automated tests for onboard software subsystems (OS, middleware, sensors, and integration points)\n\n - Validate software behavior on embedded hardware platforms within hardware-in-the-loop environments\n\n - Collaborate with software engineers to identify test gaps and build coverage for new and existing features\n\n - Debug and triage system-level issues across software and hardware boundaries\n\n - Enable developer self-service testing by contributing to CI pipelines and reusable test frameworks\n\n - Support expansion of test coverage by leveraging existing validation tests and shifting them earlier in the development cycle\n\n\nABOUT YOU \n\nIn order to set you up for success as an Embedded Software Test Engineer at Wayve, we’re looking for the following skills and experience:\n\n\nESSENTIAL \n\n - Experience testing embedded software systems, ideally on Linux or QNX-based platforms\n\n - Strong programming skills in Python, C++, or similar languages for test development and automation\n\n - Experience working with embedded hardware platforms and understanding hardware/software interactions\n\n - Proven ability to debug and triage complex issues across system layers\n\n - Understanding of software testing principles, including automation, integration testing, and system validation\n\n\nDESIRABLE \n\n - Experience with hardware-in-the-loop (HiL) testing environments\n\n - Familiarity with sensor systems or data pipelines (e.g., camera, radar, or similar)\n\n - Experience working with CI/CD systems (e.g., Buildkite) and test pipeline integration\n\n - Exposure to robotics, autonomous systems, or real-time software environments\n\n \n\nThis is a full-time role based in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"4ed881b8-d4ae-44fc-a863-d782bd54baa7","title":"Head of Marketing","department":"Product & Strategy","team":"Product & Strategy","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-17T19:57:10.906+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/4ed881b8-d4ae-44fc-a863-d782bd54baa7","applyUrl":"https://jobs.ashbyhq.com/wayve/4ed881b8-d4ae-44fc-a863-d782bd54baa7/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is looking for its first Head of Marketing to define and lead the global marketing strategy for our AI Driver technology. This person will turn our company and commercial objectives into a clear market position, compelling product narratives and integrated programs that build trust in our technology and support adoption by automotive, technology and mobility partners.
Reporting to the VP of Marketing Communications, the Head of Marketing will lead product marketing, brand strategy, partner co-marketing, digital marketing, the website, content, events and conferences. They will manage an initial team of approximately four spanning product marketing, digital, marketing operations, design and web, and work closely with the Head of Communications and leaders across Product, Commercial, Policy and Partnerships.
Key responsibilities:
Define Wayve’s marketing strategy across AI Driver, Robotaxi, automotive/OEM and safety audiences, connecting business priorities to clear audiences, positioning, programs and measurable outcomes.
Own product positioning and messaging, translating complex AI and autonomous-driving technology into differentiated, technically credible and commercially relevant narratives.
Build trust in Wayve’s technology through evidence-led content, demonstrations, customer stories and integrated campaigns.
Establish Wayve’s brand strategy and ensure it is applied consistently across campaigns, digital channels, experiences and partnerships.
Lead partner co-marketing with automakers, mobility platforms and technology partners, creating shared narratives, launch plans and campaigns that advance both parties’ objectives without losing Wayve’s positioning.
Own the digital marketing strategy, website and content engine, using data to improve reach, engagement and conversion.
Set the strategy for conferences and experiential marketing, ensuring investment supports clear company and commercial objectives.
Build integrated marketing plans with Communications while maintaining clear ownership: Marketing leads product, brand, digital, content, events and partner marketing; Communications leads corporate narrative, media relations, crisis communications and reputation management.
Lead, coach and develop the marketing team, establishing clear priorities, ownership and decision rights while remaining accountable for delivery quality.
Create transparent operating plans, budgets, KPIs and reporting that give leadership clear visibility into progress, risks and results.
Work across Product, Commercial, Partnerships, Policy, Communications and regional teams to secure alignment and deliver cohesive programs.
Remain hands-on, personally shaping positioning, challenging briefs and improving strategy in a fast-moving environment.
In order to set you up for success as a Head of Marketing at Wayve, we’re looking for the following skills and experience.
Essential
Senior marketing leadership experience in a complex, trust-sensitive category such as autonomous technology, enterprise technology, AI, platform businesses or fintech.
Strong product-marketing and narrative-strategy capability, with evidence of translating highly technical products for commercial partners and consumers.
Demonstrated experience building a category and brand across integrated channels, ideally while operating with constrained budgets.
A record of successful partner co-marketing with major global organizations while protecting a clear standalone brand position.
Strong digital, website, content and integrated-campaign capability, supported by meaningful measurement.
A commercially minded approach that connects customer needs, routes to market and partnerships to adoption and business growth.
Hands-on scale-up leadership: able to set strategy, manage senior stakeholders, coach a small team and drive execution through ambiguity.
Sound judgment, strong executive communication and the ability to make clear decisions and constructive recommendations.
A collaborative, low-ego leadership style and the ability to work effectively alongside Communications and across senior technical and commercial stakeholders.
Desirable
Experience in autonomous vehicles, mobility, automotive technology or another platform or ingredient-brand business.
Experience building a challenger brand against larger, better-funded competitors.
Experience marketing across B2B, partner and consumer audiences internationally.
Experience developing marketing organizations, operating models and teams during rapid growth.
This is a full-time role based in our office in London. At Wayve, we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWayve is looking for its first Head of Marketing to define and lead the global marketing strategy for our AI Driver technology. This person will turn our company and commercial objectives into a clear market position, compelling product narratives and integrated programs that build trust in our technology and support adoption by automotive, technology and mobility partners.\n\nReporting to the VP of Marketing Communications, the Head of Marketing will lead product marketing, brand strategy, partner co-marketing, digital marketing, the website, content, events and conferences. They will manage an initial team of approximately four spanning product marketing, digital, marketing operations, design and web, and work closely with the Head of Communications and leaders across Product, Commercial, Policy and Partnerships.\n\nKey responsibilities:\n\n - Define Wayve’s marketing strategy across AI Driver, Robotaxi, automotive/OEM and safety audiences, connecting business priorities to clear audiences, positioning, programs and measurable outcomes.\n\n - Own product positioning and messaging, translating complex AI and autonomous-driving technology into differentiated, technically credible and commercially relevant narratives.\n\n - Build trust in Wayve’s technology through evidence-led content, demonstrations, customer stories and integrated campaigns.\n\n - Establish Wayve’s brand strategy and ensure it is applied consistently across campaigns, digital channels, experiences and partnerships.\n\n - Lead partner co-marketing with automakers, mobility platforms and technology partners, creating shared narratives, launch plans and campaigns that advance both parties’ objectives without losing Wayve’s positioning.\n\n - Own the digital marketing strategy, website and content engine, using data to improve reach, engagement and conversion.\n\n - Set the strategy for conferences and experiential marketing, ensuring investment supports clear company and commercial objectives.\n\n - Build integrated marketing plans with Communications while maintaining clear ownership: Marketing leads product, brand, digital, content, events and partner marketing; Communications leads corporate narrative, media relations, crisis communications and reputation management.\n\n - Lead, coach and develop the marketing team, establishing clear priorities, ownership and decision rights while remaining accountable for delivery quality.\n\n - Create transparent operating plans, budgets, KPIs and reporting that give leadership clear visibility into progress, risks and results.\n\n - Work across Product, Commercial, Partnerships, Policy, Communications and regional teams to secure alignment and deliver cohesive programs.\n\n - Remain hands-on, personally shaping positioning, challenging briefs and improving strategy in a fast-moving environment.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Head of Marketing at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Senior marketing leadership experience in a complex, trust-sensitive category such as autonomous technology, enterprise technology, AI, platform businesses or fintech.\n\n - Strong product-marketing and narrative-strategy capability, with evidence of translating highly technical products for commercial partners and consumers.\n\n - Demonstrated experience building a category and brand across integrated channels, ideally while operating with constrained budgets.\n\n - A record of successful partner co-marketing with major global organizations while protecting a clear standalone brand position.\n\n - Strong digital, website, content and integrated-campaign capability, supported by meaningful measurement.\n\n - A commercially minded approach that connects customer needs, routes to market and partnerships to adoption and business growth.\n\n - Hands-on scale-up leadership: able to set strategy, manage senior stakeholders, coach a small team and drive execution through ambiguity.\n\n - Sound judgment, strong executive communication and the ability to make clear decisions and constructive recommendations.\n\n - A collaborative, low-ego leadership style and the ability to work effectively alongside Communications and across senior technical and commercial stakeholders.\n\nDesirable \n\n - Experience in autonomous vehicles, mobility, automotive technology or another platform or ingredient-brand business.\n\n - Experience building a challenger brand against larger, better-funded competitors.\n\n - Experience marketing across B2B, partner and consumer audiences internationally.\n\n - Experience developing marketing organizations, operating models and teams during rapid growth.\n\n\nThis is a full-time role based in our office in London. At Wayve, we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nWe understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"23c43eb4-4d2f-4b90-bd46-5ae5f28051b6","title":"Head of Fleet Operations (UK)","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2025-09-17T18:22:14.117+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/23c43eb4-4d2f-4b90-bd46-5ae5f28051b6","applyUrl":"https://jobs.ashbyhq.com/wayve/23c43eb4-4d2f-4b90-bd46-5ae5f28051b6/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Head of Fleet Operations (UK), you'll own the end-to-end translation of our customer-focused on-road testing strategy into tactical, executable plans — running UK Fleet Operations like a General Manager would run a business unit. You'll be the one accountable for safe, efficient, and high-performing on-road operations across London and the wider UK.
Day-to-day, you'll lead deployment of all UK on-road testing, coordinating Shift Leads to keep operators running across two shifts spanning 0630–2330, seven days a week (this is not a weekend or shift-pattern role, but you'll need to be comfortable managing people who work that pattern). You'll partner closely with our Systems & Enablement Division — Fleet Servicing and Maintenance, Field Engineering, Operational Safety, Training, Systems and Insights, and Quality Assurance — to keep testing running smoothly, and you'll work directly with SW, HW, and Product teams to make sure our UK testing strategy stays aligned with company objectives.
Key responsibilities:
Own the end-to-end deployment of our on-road ADAS testing strategy in the UK, converting strategic milestones into detailed tactical plans.
Deliver key testing outputs and on-road performance metrics, holding the team accountable to targets.
Optimise resource allocation, balancing fleet availability with team schedules to maximise productivity.
Directly manage and allocate work across a team including operational Shift Leads, with clear roles and accountability.
Continuously adjust operational plans as customer needs, technology, and strategic priorities evolve.
Act as the connective tissue between strategic planning and on-the-ground execution.
Drive continuous improvement in testing procedures, safety protocols, and team performance.
Own on-road risk for the UK geo, acting as the primary escalation point for incident management and safety-critical decisions.
Partner with the other Heads of Geo (US, UK, DE, JP) to align on global operating standards.
You'll thrive in this role if you've run complex, safety-critical, round-the-clock operations before and want full ownership of a market. We're looking for:
Essential:
Proven operational management experience, ideally in automotive testing, tech, or a comparably fast-moving, safety-critical field.
Strong strategic thinking — you can turn high-level strategy into practical, executable operating plans.
Excellent people leadership, including experience managing diverse and/or shift-based teams, and a mixed workforce of contractors and full-time employees.
Track record in resource planning and allocation across both fleet and personnel.
Sharp communication and stakeholder management skills — you'll work across SW, HW, Product, and global Fleet Ops leadership.
Comfort with ambiguity and a fast-changing environment, including on-call responsibility for incident management.
Based in or willing to relocate to London, with the expectation of being in-person the large majority of the time.
5+ years managing large teams and/or an advanced degree in management or equivalent
Desirable:
Familiarity with ADAS technology and on-road testing requirements.
Experience working with staffing agencies or managing a blended contractor/FTE workforce.
This is a full-time role based in our office in London. This role is Monday to Friday, overseeing a division that operates seven days a week. It will include on-call responsibilities at times.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs Head of Fleet Operations (UK), you'll own the end-to-end translation of our customer-focused on-road testing strategy into tactical, executable plans — running UK Fleet Operations like a General Manager would run a business unit. You'll be the one accountable for safe, efficient, and high-performing on-road operations across London and the wider UK.\n\nDay-to-day, you'll lead deployment of all UK on-road testing, coordinating Shift Leads to keep operators running across two shifts spanning 0630–2330, seven days a week (this is not a weekend or shift-pattern role, but you'll need to be comfortable managing people who work that pattern). You'll partner closely with our Systems & Enablement Division — Fleet Servicing and Maintenance, Field Engineering, Operational Safety, Training, Systems and Insights, and Quality Assurance — to keep testing running smoothly, and you'll work directly with SW, HW, and Product teams to make sure our UK testing strategy stays aligned with company objectives.\n\nKey responsibilities:\n\n - Own the end-to-end deployment of our on-road ADAS testing strategy in the UK, converting strategic milestones into detailed tactical plans.\n\n - Deliver key testing outputs and on-road performance metrics, holding the team accountable to targets.\n\n - Optimise resource allocation, balancing fleet availability with team schedules to maximise productivity.\n\n - Directly manage and allocate work across a team including operational Shift Leads, with clear roles and accountability.\n\n - Continuously adjust operational plans as customer needs, technology, and strategic priorities evolve.\n\n - Act as the connective tissue between strategic planning and on-the-ground execution.\n\n - Drive continuous improvement in testing procedures, safety protocols, and team performance.\n\n - Own on-road risk for the UK geo, acting as the primary escalation point for incident management and safety-critical decisions.\n\n - Partner with the other Heads of Geo (US, UK, DE, JP) to align on global operating standards.\n\n\nABOUT YOU \n\nYou'll thrive in this role if you've run complex, safety-critical, round-the-clock operations before and want full ownership of a market. We're looking for:\n\nEssential:\n\n - Proven operational management experience, ideally in automotive testing, tech, or a comparably fast-moving, safety-critical field.\n\n - Strong strategic thinking — you can turn high-level strategy into practical, executable operating plans.\n\n - Excellent people leadership, including experience managing diverse and/or shift-based teams, and a mixed workforce of contractors and full-time employees.\n\n - Track record in resource planning and allocation across both fleet and personnel.\n\n - Sharp communication and stakeholder management skills — you'll work across SW, HW, Product, and global Fleet Ops leadership.\n\n - Comfort with ambiguity and a fast-changing environment, including on-call responsibility for incident management.\n\n - Based in or willing to relocate to London, with the expectation of being in-person the large majority of the time.\n\n - 5+ years managing large teams and/or an advanced degree in management or equivalent\n\nDesirable: \n\n - Familiarity with ADAS technology and on-road testing requirements.\n\n - Experience working with staffing agencies or managing a blended contractor/FTE workforce.\n\nThis is a full-time role based in our office in London. This role is Monday to Friday, overseeing a division that operates seven days a week. It will include on-call responsibilities at times.\n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"7f2e3640-aa53-4162-a754-98e9ed90cf55","title":"Principal Machine Learning Engineer, Geometric Vision","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-18T19:30:55.736+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/7f2e3640-aa53-4162-a754-98e9ed90cf55","applyUrl":"https://jobs.ashbyhq.com/wayve/7f2e3640-aa53-4162-a754-98e9ed90cf55/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Principal Engineer on the Model Foundations team you will build the geometric vision and 3D foundation models that underpin our autonomous driving systems.You will work at the intersection of large-scale deep learning, geometric computer vision, and real-world robotics, developing models that learn 3D structure and dynamics from fleet-scale sensor data.
You will be a hands-on technical leader. You will set direction for geometric vision, prototype and train new model architectures, build the data and supervision needed to scale them, and take successful ideas through to deployment on real vehicles.
Key responsibilities
Design and train 3D foundation models and world models using large-scale driving data.
Develop model architectures for 3D perception, geometric reasoning, reconstruction, and world modeling across space and time.
Build scalable data generation and auto-labeling pipelines that produce high-quality geometric supervision from large volumes of sensor data.
Develop and scale offline SLAM and 3D reconstruction systems and pipelines, using large-scale sensor data to recover accurate trajectories, scene geometry, calibration signals, and geometric supervision for model training and evaluation.
Develop and apply techniques in multi-view geometry, neural rendering, NeRFs, Gaussian Splatting, implicit 3D representations, and feedforward 3D modeling.
Explore geometry-aware tokenization and representation learning, including efficient ways to encode and fuse information across cameras, viewpoints, time, and sensing modalities.
Develop foundation vision models that make effective use of camera, radar, LiDAR, and other sensor data for learning rich representations of the physical world.
Explore video and generative modeling approaches for learning scene structure, dynamics, and future evolution from driving data.
Train and evaluate models at scale on distributed compute, rapidly iterating on architectures, objectives, data, and training recipes.
Develop automated evaluation and ground-truth systems for measuring geometric consistency, reconstruction quality, 3D understanding, and downstream driving performance.
Optimize and deploy models into production autonomous-driving systems, working across model architecture, inference, and onboard constraints.
Set technical direction for geometric vision at Wayve and work closely with researchers and engineers across foundation models, perception, simulation, data, sensing, and deployment.
In order to set you up for success as a Principal Machine Learning Engineer, Geometric Vision at Wayve, we’re looking for the following skills and experience.
Essential
Deep expertise in 3D computer vision, geometric vision, or 3D machine learning, with experience in areas such as multi-view geometry, neural rendering, reconstruction, implicit representations, or world modeling.
Strong experience designing, training, and evaluating modern deep-learning models at scale, using PyTorch or a comparable framework.
Strong mathematical and technical foundations in geometry, linear algebra, probability, optimization, and 3D transformations, combined with excellent software engineering skills in Python and C++
A track record of taking difficult research problems from idea to working system, including building large-scale data, training, evaluation, or deployment pipelines.
Principal-level technical leadership: the ability to identify high-leverage problems, set research and engineering direction, make strong architectural decisions, and raise the technical bar across teams.
Desirable
3D and geometric vision: multi-view geometry, dense 3D reconstruction, neural fields, NeRFs, Gaussian Splatting, or feedforward 3D models.
Foundation and world models: large-scale vision pre-training, self-supervised learning, video models, generative models, or learned scene dynamics.
Geometric data engines: offline SLAM, structure-from-motion, reconstruction, calibration, auto-labeling, and large-scale ground-truth generation.
Multimodal perception: learned representations and fusion across camera, radar, LiDAR, and other sensing modalities.
Production ML systems: distributed training, large-scale experimentation, and deploying neural networks on real-time, resource-constrained hardware.
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $ 407,330 to $ 460,020 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a Principal Engineer on the Model Foundations team you will build the geometric vision and 3D foundation models that underpin our autonomous driving systems.You will work at the intersection of large-scale deep learning, geometric computer vision, and real-world robotics, developing models that learn 3D structure and dynamics from fleet-scale sensor data.\n\nYou will be a hands-on technical leader. You will set direction for geometric vision, prototype and train new model architectures, build the data and supervision needed to scale them, and take successful ideas through to deployment on real vehicles.\n\nKey responsibilities\n\n - Design and train 3D foundation models and world models using large-scale driving data.\n\n - Develop model architectures for 3D perception, geometric reasoning, reconstruction, and world modeling across space and time.\n\n - Build scalable data generation and auto-labeling pipelines that produce high-quality geometric supervision from large volumes of sensor data.\n\n - Develop and scale offline SLAM and 3D reconstruction systems and pipelines, using large-scale sensor data to recover accurate trajectories, scene geometry, calibration signals, and geometric supervision for model training and evaluation.\n\n - Develop and apply techniques in multi-view geometry, neural rendering, NeRFs, Gaussian Splatting, implicit 3D representations, and feedforward 3D modeling.\n\n - Explore geometry-aware tokenization and representation learning, including efficient ways to encode and fuse information across cameras, viewpoints, time, and sensing modalities.\n\n - Develop foundation vision models that make effective use of camera, radar, LiDAR, and other sensor data for learning rich representations of the physical world.\n\n - Explore video and generative modeling approaches for learning scene structure, dynamics, and future evolution from driving data.\n\n - Train and evaluate models at scale on distributed compute, rapidly iterating on architectures, objectives, data, and training recipes.\n\n - Develop automated evaluation and ground-truth systems for measuring geometric consistency, reconstruction quality, 3D understanding, and downstream driving performance.\n\n - Optimize and deploy models into production autonomous-driving systems, working across model architecture, inference, and onboard constraints.\n\n - Set technical direction for geometric vision at Wayve and work closely with researchers and engineers across foundation models, perception, simulation, data, sensing, and deployment.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Principal Machine Learning Engineer, Geometric Vision at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Deep expertise in 3D computer vision, geometric vision, or 3D machine learning, with experience in areas such as multi-view geometry, neural rendering, reconstruction, implicit representations, or world modeling.\n\n - Strong experience designing, training, and evaluating modern deep-learning models at scale, using PyTorch or a comparable framework.\n\n - Strong mathematical and technical foundations in geometry, linear algebra, probability, optimization, and 3D transformations, combined with excellent software engineering skills in Python and C++\n\n - A track record of taking difficult research problems from idea to working system, including building large-scale data, training, evaluation, or deployment pipelines.\n\n - Principal-level technical leadership: the ability to identify high-leverage problems, set research and engineering direction, make strong architectural decisions, and raise the technical bar across teams.\n\nDesirable \n\n - 3D and geometric vision: multi-view geometry, dense 3D reconstruction, neural fields, NeRFs, Gaussian Splatting, or feedforward 3D models.\n\n - Foundation and world models: large-scale vision pre-training, self-supervised learning, video models, generative models, or learned scene dynamics.\n\n - Geometric data engines: offline SLAM, structure-from-motion, reconstruction, calibration, auto-labeling, and large-scale ground-truth generation.\n\n - Multimodal perception: learned representations and fusion across camera, radar, LiDAR, and other sensing modalities.\n\n - Production ML systems: distributed training, large-scale experimentation, and deploying neural networks on real-time, resource-constrained hardware.\n\n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $ 407,330 to $ 460,020 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"f9aa1988-e6a7-4cb1-b155-288da21cc7be","title":" Senior Forensics Engineer","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-21T13:37:45.898+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/f9aa1988-e6a7-4cb1-b155-288da21cc7be","applyUrl":"https://jobs.ashbyhq.com/wayve/f9aa1988-e6a7-4cb1-b155-288da21cc7be/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As an Autonomous Driving Forensics Engineer in our Detectives team, part of the Model Integration and Release group, you will investigate issues that arise across the full Wayve AV stack. Working closely with teams across the business, you will identify root causes efficiently, test solutions thoroughly, and provide actionable insight that improves overall AV performance.
Your role sits at the heart of performance improvement, identifying systemic issues within the full end-to-end stack of our AV vehicles. To do so you will work cross-functionally, interacting with all areas of the business, from hardware and software engineers to roboticists, platform developers, model development and operational teams.
We're looking for someone curious, pragmatic, and system-minded: a broad thinker who is comfortable operating with limited information, thrives outside their comfort zone, and lets facts and data drive their conclusions. Just as important is the ability to communicate clearly and build strong working relationships across teams, bringing people with you as you work towards an answer.
Key responsibilities:
Issue investigation & root cause analysis: Triage on-road data and conduct deep dives into recurring issues, identifying patterns across the fleet to pinpoint root causes across the robot, model, or software.
Data analysis & communication: Analyse data and communicate insights clearly, using dashboards and/or visualisations to make complex issues easy for others to understand and act on.
Cross-functional collaboration: Work closely with engineering, model development, operations, and safety teams, including taking rides in the vehicles, to understand issues and partner with system owners through to a resolution.
Process & automation: Develop automated workflows and investigation playbooks that improve turnaround time and enable faster testing cycles.
Simulation & testing: Leverage simulation and other offline tools to reproduce and debug issues, minimising the need for fleet resources.
Breadth of work: Provide investigative and systems engineering support across a broad and evolving range of problems, from new vehicle platforms to emerging programmes and release testing, as the technology and fleet grow.
Incident response: Investigate on-road incidents to establish what happened and why, feeding lessons back to the relevant teams and strengthening our wider safety culture.
In order to set you up for success as an Autonomous Driving Forensics Engineer at Wayve, we're looking for the following skills and experience.
Essential
3+ years working with complex systems for robotics, autonomous vehicles, or comparable engineered systems.
Excellent critical thinking and problem-solving skills to identify and resolve complex issues within robotics and AI systems.
A systems-thinking mindset, comfortable investigating across the full stack, spanning hardware, software, and models.
Prior experience designing real-world experiments to prove or disprove hypotheses.
Great communication skills, able to explain complex technical problems to both technical and non-technical stakeholders.
Experienced with writing Python, particularly for data analysis; confident in writing scripts for a wide variety of analytic use cases, leveraging AI tools to work more efficiently.
A track record of influencing team and company direction through your findings.
A safety-conscious mindset, alert to when an issue carries safety implications and comfortable raising it.
Desirable
Practical experience applying and evaluating machine learning models.
Experience working with safety-critical systems.
Experience in the automotive, robotics, or AI industries.
A track record of promoting statistical rigour and experimental best practices in your prior roles.
Experience working in a fast-moving tech company or startup.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
Competitive compensation and benefits
A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too
A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day
Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them
#LI-AF1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs an Autonomous Driving Forensics Engineer in our Detectives team, part of the Model Integration and Release group, you will investigate issues that arise across the full Wayve AV stack. Working closely with teams across the business, you will identify root causes efficiently, test solutions thoroughly, and provide actionable insight that improves overall AV performance.\n\nYour role sits at the heart of performance improvement, identifying systemic issues within the full end-to-end stack of our AV vehicles. To do so you will work cross-functionally, interacting with all areas of the business, from hardware and software engineers to roboticists, platform developers, model development and operational teams.\n\nWe're looking for someone curious, pragmatic, and system-minded: a broad thinker who is comfortable operating with limited information, thrives outside their comfort zone, and lets facts and data drive their conclusions. Just as important is the ability to communicate clearly and build strong working relationships across teams, bringing people with you as you work towards an answer.\n\n \n\nKey responsibilities:\n\n - Issue investigation & root cause analysis: Triage on-road data and conduct deep dives into recurring issues, identifying patterns across the fleet to pinpoint root causes across the robot, model, or software.\n\n - Data analysis & communication: Analyse data and communicate insights clearly, using dashboards and/or visualisations to make complex issues easy for others to understand and act on.\n\n - Cross-functional collaboration: Work closely with engineering, model development, operations, and safety teams, including taking rides in the vehicles, to understand issues and partner with system owners through to a resolution.\n\n - Process & automation: Develop automated workflows and investigation playbooks that improve turnaround time and enable faster testing cycles.\n\n - Simulation & testing: Leverage simulation and other offline tools to reproduce and debug issues, minimising the need for fleet resources.\n\n - Breadth of work: Provide investigative and systems engineering support across a broad and evolving range of problems, from new vehicle platforms to emerging programmes and release testing, as the technology and fleet grow.\n\n - Incident response: Investigate on-road incidents to establish what happened and why, feeding lessons back to the relevant teams and strengthening our wider safety culture.\n\n \n\n\nABOUT YOU\n\nIn order to set you up for success as an Autonomous Driving Forensics Engineer at Wayve, we're looking for the following skills and experience.\n\nEssential\n\n - 3+ years working with complex systems for robotics, autonomous vehicles, or comparable engineered systems.\n\n - Excellent critical thinking and problem-solving skills to identify and resolve complex issues within robotics and AI systems.\n\n - A systems-thinking mindset, comfortable investigating across the full stack, spanning hardware, software, and models.\n\n - Prior experience designing real-world experiments to prove or disprove hypotheses.\n\n - Great communication skills, able to explain complex technical problems to both technical and non-technical stakeholders.\n\n - Experienced with writing Python, particularly for data analysis; confident in writing scripts for a wide variety of analytic use cases, leveraging AI tools to work more efficiently.\n\n - A track record of influencing team and company direction through your findings.\n\n - A safety-conscious mindset, alert to when an issue carries safety implications and comfortable raising it.\n\n \n\nDesirable\n\n - Practical experience applying and evaluating machine learning models.\n\n - Experience working with safety-critical systems.\n\n - Experience in the automotive, robotics, or AI industries.\n\n - A track record of promoting statistical rigour and experimental best practices in your prior roles.\n\n - Experience working in a fast-moving tech company or startup.\n\nWe understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.\n\n \n \n\n\nWHAT WE OFFER YOU\n\n - The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact\n\n - Competitive compensation and benefits\n\n - A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too\n\n - A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day\n\n - Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets\n\n - At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them\n\n#LI-AF1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"51b369f1-56ff-4311-bb30-ebd88dbd34d6","title":"Global Head of AV Driver Training","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-21T18:19:25.449+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/51b369f1-56ff-4311-bb30-ebd88dbd34d6","applyUrl":"https://jobs.ashbyhq.com/wayve/51b369f1-56ff-4311-bb30-ebd88dbd34d6/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Global Head of AV Driver Training, you'll own the strategy, standards, and operating model for how Wayve trains, certifies, and develops its on-road operational workforce — Vehicle Safety Operators and the teams that support them — across the UK, US, Germany, and Japan. This is a build role: you're accountable for defining the training architecture, building scalable curricula and certification pathways, and proving with data that training is improving readiness, consistency, and safety.
You'll lead a small, globally distributed team of Regional Training Leads and Training Coordinators, translating a single global standard into training that works in each region's operational reality. You'll own the mechanism that turns operational insights, safety findings, and product changes into rapid training updates, and you're the person accountable for whether operators are truly ready before they're deployed on the road.
Key responsibilities:
Own global training strategy, standards, and operating model across all geographies.
Define the training architecture: scalable curricula, onboarding pathways, and certification frameworks for on-road and maintenance operational roles.
Own operational readiness — ensuring operators meet performance and safety thresholds before live on-road deployment.
Build and maintain the mechanism for converting product requirements and operational insights into rapid, targeted training updates.
Establish and own the metrics and reporting that prove training effectiveness, readiness, and adherence — and use that data to prioritise interventions.
Manage and develop Regional Training Leads, holding them accountable to a consistent global standard while enabling local adaptation.
Partner cross-functionally with Operations, Product, and Safety to align training outcomes with business and operational needs.
Own certification and compliance record-keeping standards globally, ensuring accuracy and audit-readiness.
Balance global standardisation with the flexibility to adapt delivery to regional, regulatory, and market context.
You'll thrive in this role if you've built or scaled a training or capability-development function in a safety-critical, operational environment, and you want to own it globally from here.
Essential:
Significant leadership experience in training, capability development, operations enablement, or workforce readiness, ideally within autonomous systems, mobility, robotics, aviation, defence, logistics, or another safety-critical environment.
Proven experience building and leading structured training programmes across multiple sites, regions, or countries.
Demonstrated success designing scalable onboarding, certification, and recurrent training frameworks for operational roles.
Experience translating operational, product, or safety requirements into practical training content, standards, and readiness criteria.
Strong track record using performance data, assessments, and operational insight to improve behaviour, consistency, and execution quality.
Experience working cross-functionally with Operations, Product, Safety, and other senior stakeholders to align training outcomes with business needs.
Experience leading managers or senior individual contributors, and setting direction for a globally distributed function.
Strong analytical capability — comfortable working with training and performance data pipelines to identify trends and gaps, and converting insight into metrics, dashboards, and reporting.
Desirable:
Experience in autonomous vehicles, transport, robotics, logistics, aviation, or defense.
Familiarity with certification, compliance record-keeping, and audit requirements in a regulated or safety-critical environment.
Experience managing a mixed workforce of contractors and full-time employees through a transition to FTE.
This is a full-time role based in our office in London or Sunnyvale. This role is Monday to Friday, overseeing a division that operates seven days a week. It will include on-call responsibilities at times.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs Global Head of AV Driver Training, you'll own the strategy, standards, and operating model for how Wayve trains, certifies, and develops its on-road operational workforce — Vehicle Safety Operators and the teams that support them — across the UK, US, Germany, and Japan. This is a build role: you're accountable for defining the training architecture, building scalable curricula and certification pathways, and proving with data that training is improving readiness, consistency, and safety.\n\nYou'll lead a small, globally distributed team of Regional Training Leads and Training Coordinators, translating a single global standard into training that works in each region's operational reality. You'll own the mechanism that turns operational insights, safety findings, and product changes into rapid training updates, and you're the person accountable for whether operators are truly ready before they're deployed on the road.\n\nKey responsibilities:\n\n - Own global training strategy, standards, and operating model across all geographies.\n\n - Define the training architecture: scalable curricula, onboarding pathways, and certification frameworks for on-road and maintenance operational roles.\n\n - Own operational readiness — ensuring operators meet performance and safety thresholds before live on-road deployment.\n\n - Build and maintain the mechanism for converting product requirements and operational insights into rapid, targeted training updates.\n\n - Establish and own the metrics and reporting that prove training effectiveness, readiness, and adherence — and use that data to prioritise interventions.\n\n - Manage and develop Regional Training Leads, holding them accountable to a consistent global standard while enabling local adaptation.\n\n - Partner cross-functionally with Operations, Product, and Safety to align training outcomes with business and operational needs.\n\n - Own certification and compliance record-keeping standards globally, ensuring accuracy and audit-readiness.\n\n - Balance global standardisation with the flexibility to adapt delivery to regional, regulatory, and market context.\n\n\nABOUT YOU \n\nYou'll thrive in this role if you've built or scaled a training or capability-development function in a safety-critical, operational environment, and you want to own it globally from here.\n\nEssential:\n\n - Significant leadership experience in training, capability development, operations enablement, or workforce readiness, ideally within autonomous systems, mobility, robotics, aviation, defence, logistics, or another safety-critical environment.\n\n - Proven experience building and leading structured training programmes across multiple sites, regions, or countries.\n\n - Demonstrated success designing scalable onboarding, certification, and recurrent training frameworks for operational roles.\n\n - Experience translating operational, product, or safety requirements into practical training content, standards, and readiness criteria.\n\n - Strong track record using performance data, assessments, and operational insight to improve behaviour, consistency, and execution quality.\n\n - Experience working cross-functionally with Operations, Product, Safety, and other senior stakeholders to align training outcomes with business needs.\n\n - Experience leading managers or senior individual contributors, and setting direction for a globally distributed function.\n\n - Strong analytical capability — comfortable working with training and performance data pipelines to identify trends and gaps, and converting insight into metrics, dashboards, and reporting.\n\nDesirable: \n\n - Experience in autonomous vehicles, transport, robotics, logistics, aviation, or defense.\n\n - Familiarity with certification, compliance record-keeping, and audit requirements in a regulated or safety-critical environment.\n\n - Experience managing a mixed workforce of contractors and full-time employees through a transition to FTE.\n\nThis is a full-time role based in our office in London or Sunnyvale. This role is Monday to Friday, overseeing a division that operates seven days a week. It will include on-call responsibilities at times. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c682d019-1502-48aa-802a-976f741a965f","title":"Technical Product Manager - Development Vehicles","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-21T15:18:06.906+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c682d019-1502-48aa-802a-976f741a965f","applyUrl":"https://jobs.ashbyhq.com/wayve/c682d019-1502-48aa-802a-976f741a965f/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
Own the roadmap for Wayve’s development and experimentation vehicle platforms—where software, hardware, and operations meet to make rapid iteration possible. You’ll partner across engineering, program management, and internal teams to turn platform requirements into scalable capabilities that accelerate experiments, data collection, and deployments. This is a hands-on, high-trust role focused on making smart tradeoffs and delivering platforms that enable Wayve’s priorities (and, where relevant, customer programs) to move faster and more reliably.
Key responsibilities
Own and evolve the roadmap for development & experimentation vehicle platform features.
Gather and prioritize requirements across engineering, program management, and internal customers; translate them into clear workflows, specs, and measurable success criteria.
Define and track platform product KPIs; maintain a cohesive view of current capabilities and what’s next.
Make product tradeoffs and manage stakeholder expectations across teams with competing priorities.
Reduce time-to-debug, deploy experiments, and access data by improving tooling and processes.
Drive reuse and scalability of capabilities across reference vehicles and customer programs; minimize one-off configurations.
Improve consistency between internal development environments and customer-operated workflows.
About you
In order to set you up for success as a Technical Product Manager at Wayve, we’re looking for the following skills and experience.
Essential
5+ years of experience shipping autonomy / AV features end-to-end (concept → integration → validation → release)
Strong systems thinking: can assess how platform changes impact downstream development, data, tooling, and operations
Strong stakeholder management and influencing skills; able to challenge respectfully across engineering through leadership
Track record coordinating cross-functional execution across multiple teams to deliver complex, interdependent programs
2+ years of hands-on experience with embedded platforms, with direct involvement in architecture, development, and validation
Thrives in fast-paced, iterative environments with evolving priorities - brings momentum and calm to fast-moving environments without adding unnecessary process
Scrappy, resourceful, and focused on outcomes
Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field
Desirable
Experience owning or scaling developer / operations tooling and processes in complex hardware+software environments
Exposure to data feedback loops, data collection, and fleet operations in AV contexts
Prior experience working with external customers or partner programs, translating needs into productized workflows
Familiarity with automotive real-time environments, AI compute platforms, and sensors
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $276,100 to $311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nOwn the roadmap for Wayve’s development and experimentation vehicle platforms—where software, hardware, and operations meet to make rapid iteration possible. You’ll partner across engineering, program management, and internal teams to turn platform requirements into scalable capabilities that accelerate experiments, data collection, and deployments. This is a hands-on, high-trust role focused on making smart tradeoffs and delivering platforms that enable Wayve’s priorities (and, where relevant, customer programs) to move faster and more reliably.\n\nKey responsibilities\n\n - Own and evolve the roadmap for development & experimentation vehicle platform features.\n\n - Gather and prioritize requirements across engineering, program management, and internal customers; translate them into clear workflows, specs, and measurable success criteria.\n\n - Define and track platform product KPIs; maintain a cohesive view of current capabilities and what’s next.\n\n - Make product tradeoffs and manage stakeholder expectations across teams with competing priorities.\n\n - Reduce time-to-debug, deploy experiments, and access data by improving tooling and processes.\n\n - Drive reuse and scalability of capabilities across reference vehicles and customer programs; minimize one-off configurations.\n\n - Improve consistency between internal development environments and customer-operated workflows.\n\nAbout you\n\nIn order to set you up for success as a Technical Product Manager at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - 5+ years of experience shipping autonomy / AV features end-to-end (concept → integration → validation → release)\n\n - Strong systems thinking: can assess how platform changes impact downstream development, data, tooling, and operations\n\n - Strong stakeholder management and influencing skills; able to challenge respectfully across engineering through leadership\n\n - Track record coordinating cross-functional execution across multiple teams to deliver complex, interdependent programs\n\n - 2+ years of hands-on experience with embedded platforms, with direct involvement in architecture, development, and validation\n\n - Thrives in fast-paced, iterative environments with evolving priorities - brings momentum and calm to fast-moving environments without adding unnecessary process\n\n - Scrappy, resourceful, and focused on outcomes\n\n - Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field\n\nDesirable\n\n - Experience owning or scaling developer / operations tooling and processes in complex hardware+software environments\n\n - Exposure to data feedback loops, data collection, and fleet operations in AV contexts\n\n - Prior experience working with external customers or partner programs, translating needs into productized workflows\n\n - Familiarity with automotive real-time environments, AI compute platforms, and sensors\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $276,100 to $311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"7b9d9537-f53d-4ab3-801a-9697bd3998dc","title":"Staff Robotics Engineer","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-21T21:09:46.947+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/7b9d9537-f53d-4ab3-801a-9697bd3998dc","applyUrl":"https://jobs.ashbyhq.com/wayve/7b9d9537-f53d-4ab3-801a-9697bd3998dc/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is seeking a Robotics Software Engineer for our Online Calibration team to support scaling across our autonomous vehicle fleet. You will turn calibration and estimation methods into reliable, observable and resource-efficient components of the on-vehicle runtime, operating continuously on constrained, hardware-accelerated platforms. Working across calibration, state estimation, robot software, hardware acceleration and vehicle-platform teams, you will shape the architecture and roadmap for a foundational capability that directly affects vehicle performance, resilience and safety.
Key responsibilities:
Extend the capabilities of the existing online calibration node, delivering robust production software within the architecture and technical direction set by the team.
Adapt and integrate suitable calibration and estimation algorithms for continuous or on-demand onboard execution.
Develop reliable handling of asynchronous sensor data, accelerator-produced features and noisy, time-varying calibration parameters.
Strengthen validation, gating, persistence and interfaces between the calibration node, onboard state, runtime consumers, logging and fleet-facing systems.
Profile and optimise critical paths for constrained compute, memory, storage and latency budgets without compromising correctness or debuggability.
Build comprehensive simulation, replay, bench and on-vehicle tests, and improve metrics, diagnostics and fleet-level observability across nominal and failure scenarios.
In order to set you up for success as a Robotics Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Strong practical expertise in sensor calibration, state estimation or a closely related robotics domain, including calibration of cameras, LiDAR, IMUs, vehicle parameters or multi-sensor systems.
Strong understanding of filtering and estimation methods, such as Kalman-family filters, Bayesian estimation, smoothing, robust estimation or factor-graph optimisation.
Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis and test tooling.
Experience productionising algorithm-heavy robotics software for vehicles, robots, drones, aerospace systems or comparable edge platforms, including clear lifecycle, failure-handling and recovery behaviour.
Experience with asynchronous, high-throughput sensor data and hardware-accelerated pipelines, with the ability to optimise constrained compute and memory systems without losing correctness or debuggability.
Strong software architecture, API design, testing, debugging and performance-profiling skills, with evidence of end-to-end ownership and effective cross-functional collaboration.
Desirable
Experience in visual odometry, SLAM, localisation, sensor fusion, ego-motion estimation or geometric computer vision.
Experience with GPU, DSP, NPU or other hardware-accelerated robotics workloads, including zero-copy or shared-memory data paths and optimisation for production runtime constraints.
Experience developing and operating production software in a scaled robotics or autonomous-systems company, ideally involving embedded Linux, edge-state management, rollback, automotive safety or fault-injection testing.
This is a full-time role based in our office in either in London/UK or Sunnyvale/US. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWayve is seeking a Robotics Software Engineer for our Online Calibration team to support scaling across our autonomous vehicle fleet. You will turn calibration and estimation methods into reliable, observable and resource-efficient components of the on-vehicle runtime, operating continuously on constrained, hardware-accelerated platforms. Working across calibration, state estimation, robot software, hardware acceleration and vehicle-platform teams, you will shape the architecture and roadmap for a foundational capability that directly affects vehicle performance, resilience and safety.\n\nKey responsibilities:\n\n - Extend the capabilities of the existing online calibration node, delivering robust production software within the architecture and technical direction set by the team.\n\n - Adapt and integrate suitable calibration and estimation algorithms for continuous or on-demand onboard execution.\n\n - Develop reliable handling of asynchronous sensor data, accelerator-produced features and noisy, time-varying calibration parameters.\n\n - Strengthen validation, gating, persistence and interfaces between the calibration node, onboard state, runtime consumers, logging and fleet-facing systems.\n\n - Profile and optimise critical paths for constrained compute, memory, storage and latency budgets without compromising correctness or debuggability.\n\n - Build comprehensive simulation, replay, bench and on-vehicle tests, and improve metrics, diagnostics and fleet-level observability across nominal and failure scenarios.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Robotics Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Strong practical expertise in sensor calibration, state estimation or a closely related robotics domain, including calibration of cameras, LiDAR, IMUs, vehicle parameters or multi-sensor systems.\n\n - Strong understanding of filtering and estimation methods, such as Kalman-family filters, Bayesian estimation, smoothing, robust estimation or factor-graph optimisation.\n\n - Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis and test tooling.\n\n - Experience productionising algorithm-heavy robotics software for vehicles, robots, drones, aerospace systems or comparable edge platforms, including clear lifecycle, failure-handling and recovery behaviour.\n\n - Experience with asynchronous, high-throughput sensor data and hardware-accelerated pipelines, with the ability to optimise constrained compute and memory systems without losing correctness or debuggability.\n\n - Strong software architecture, API design, testing, debugging and performance-profiling skills, with evidence of end-to-end ownership and effective cross-functional collaboration.\n\nDesirable\n\n - Experience in visual odometry, SLAM, localisation, sensor fusion, ego-motion estimation or geometric computer vision.\n\n - Experience with GPU, DSP, NPU or other hardware-accelerated robotics workloads, including zero-copy or shared-memory data paths and optimisation for production runtime constraints.\n\n - Experience developing and operating production software in a scaled robotics or autonomous-systems company, ideally involving embedded Linux, edge-state management, rollback, automotive safety or fault-injection testing.\n\nThis is a full-time role based in our office in either in London/UK or Sunnyvale/US. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"fd9be043-3be9-44f4-beef-ea973bcb4634","title":"Director of Fleet Operations Execution","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-21T19:48:07.967+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/fd9be043-3be9-44f4-beef-ea973bcb4634","applyUrl":"https://jobs.ashbyhq.com/wayve/fd9be043-3be9-44f4-beef-ea973bcb4634/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Director of Fleet Operations Execution, you'll own the health, performance, and on-road risk posture of Fleet Operations globally — leading a team of teams across UK, US, Germany, and Japan through the regional Heads of Fleet Ops. This is a leadership role first: you'll be the authoritative voice on on-road decisions, holding the line on safety while balancing operational and commercial demands across a 300+ person global org.
Day to day, you'll set and enforce the standards, KPIs, and performance metrics that keep operations consistent across every region, while demanding excellence from the regional leads who report to you. You'll own incident response execution for high-severity events globally, bringing judgment and authority to complex, nuanced on-road risk decisions. You'll partner with Safety, Technical Operations, and other cross-functional teams to operationalize feature and milestone testing, and you'll be relentless about surfacing risks and gaps before they become problems — all while managing the tension between a single global standard and the real nuance of running multiple internal and external programs and platforms at once.
Key responsibilities:
Own and develop a team of teams: manage, coach, and hold accountable the regional Heads of Fleet Ops across a 300+ person global organization.
Serve as the authoritative decision-maker on on-road risk, bringing sound judgment to complex, ambiguous, and high-stakes situations.
Own incident response execution for high-severity events across all geographies, sitting at the top of the escalation chain.
Balance operational requirements, safety, and commercial objectives in every major decision.
Drive consistent operations globally through clear KPIs and performance metrics, holding regional leads to a high bar.
Partner with Safety, Technical Operations, and other cross-functional teams to operationalize feature and milestone testing.
Proactively surface risks and gaps across regions and programs, driving structured reviews and course-correction.
Set and maintain a single global operating standard while managing the nuance and complexity of multiple internal and external programs and platforms.
You'll thrive in this role if you've led large, global organizations through other leaders and have the judgment to own safety-critical decisions at scale.
Essential:
Extensive leadership experience managing global, multi-site teams of at least 100+ people through a layer of leaders — you've managed managers, not just individual contributors.
Demonstrated experience operating in and leading through technical development cycles (e.g. R&D, product development, testing/validation), with enough fluency to hold your own with engineering and technical partners.
Sound judgment and decisiveness in high-stakes, ambiguous, safety-critical situations — you can own a decision and stand behind it.
Track record setting and enforcing performance standards, KPIs, and accountability across leaders you don't work alongside day to day.
Strong cross-functional influence — able to partner with Safety, Technical Operations, and other functions without formal authority over them.
Experience owning incident response and risk management for high-severity events.
Comfortable managing a mixed workforce of contractors and full-time employees, across regions and time zones.
Based in or willing to relocate to London, with the expectation of being in-person the large majority of the time, plus regular international travel.
Desirable:
Experience in autonomous systems, robotics, automotive engineering, or aerospace.
Background in a regulated or safety-critical industry.
This is a full-time role based in our London office. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs Director of Fleet Operations Execution, you'll own the health, performance, and on-road risk posture of Fleet Operations globally — leading a team of teams across UK, US, Germany, and Japan through the regional Heads of Fleet Ops. This is a leadership role first: you'll be the authoritative voice on on-road decisions, holding the line on safety while balancing operational and commercial demands across a 300+ person global org.\n\nDay to day, you'll set and enforce the standards, KPIs, and performance metrics that keep operations consistent across every region, while demanding excellence from the regional leads who report to you. You'll own incident response execution for high-severity events globally, bringing judgment and authority to complex, nuanced on-road risk decisions. You'll partner with Safety, Technical Operations, and other cross-functional teams to operationalize feature and milestone testing, and you'll be relentless about surfacing risks and gaps before they become problems — all while managing the tension between a single global standard and the real nuance of running multiple internal and external programs and platforms at once.\n\nKey responsibilities:\n\n - Own and develop a team of teams: manage, coach, and hold accountable the regional Heads of Fleet Ops across a 300+ person global organization.\n\n - Serve as the authoritative decision-maker on on-road risk, bringing sound judgment to complex, ambiguous, and high-stakes situations.\n\n - Own incident response execution for high-severity events across all geographies, sitting at the top of the escalation chain.\n\n - Balance operational requirements, safety, and commercial objectives in every major decision.\n\n - Drive consistent operations globally through clear KPIs and performance metrics, holding regional leads to a high bar.\n\n - Partner with Safety, Technical Operations, and other cross-functional teams to operationalize feature and milestone testing.\n\n - Proactively surface risks and gaps across regions and programs, driving structured reviews and course-correction.\n\n - Set and maintain a single global operating standard while managing the nuance and complexity of multiple internal and external programs and platforms.\n\n\nABOUT YOU \n\nYou'll thrive in this role if you've led large, global organizations through other leaders and have the judgment to own safety-critical decisions at scale.\n\nEssential:\n\n - Extensive leadership experience managing global, multi-site teams of at least 100+ people through a layer of leaders — you've managed managers, not just individual contributors.\n\n - Demonstrated experience operating in and leading through technical development cycles (e.g. R&D, product development, testing/validation), with enough fluency to hold your own with engineering and technical partners.\n\n - Sound judgment and decisiveness in high-stakes, ambiguous, safety-critical situations — you can own a decision and stand behind it.\n\n - Track record setting and enforcing performance standards, KPIs, and accountability across leaders you don't work alongside day to day.\n\n - Strong cross-functional influence — able to partner with Safety, Technical Operations, and other functions without formal authority over them.\n\n - Experience owning incident response and risk management for high-severity events.\n\n - Comfortable managing a mixed workforce of contractors and full-time employees, across regions and time zones.\n\n - Based in or willing to relocate to London, with the expectation of being in-person the large majority of the time, plus regular international travel.\n\nDesirable: \n\n - Experience in autonomous systems, robotics, automotive engineering, or aerospace.\n\n - Background in a regulated or safety-critical industry.\n\nThis is a full-time role based in our London office. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"cd379419-8bf4-4e7b-a33b-1845a85e9b65","title":"Senior Data Scientist","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-21T21:12:25.455+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/cd379419-8bf4-4e7b-a33b-1845a85e9b65","applyUrl":"https://jobs.ashbyhq.com/wayve/cd379419-8bf4-4e7b-a33b-1845a85e9b65/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.
This means you might:
Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements
3+ years experience working in a Data Science role.
Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
Track record of influencing team direction through your findings
A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
Comfortable working asynchronously across time zones with cross-functional partners
You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.
Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production.
Track record of promoting statistical rigour and experimental best practices in your prior roles.
Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
Experience working in a fast-moving tech company or startup.
This is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.\n\nThis means you might:\n\n - Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success\n\n - Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance\n\n - Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements\n\n\nABOUT YOU\n\n\nESSENTIAL:\n\n - 3+ years experience working in a Data Science role.\n\n - Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.\n\n - Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics\n\n - Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats\n\n - Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)\n\n - Well-versed in summarising, visualising and communicating findings in an accessible and compelling way\n\n - Track record of influencing team direction through your findings\n\n - A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.\n\n - Comfortable working asynchronously across time zones with cross-functional partners\n\n - You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.\n\n\nDESIRABLE:\n\n - Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production.\n\n - Track record of promoting statistical rigour and experimental best practices in your prior roles.\n\n - Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.\n\n - Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)\n\n - Experience working in a fast-moving tech company or startup.\n\nThis is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"e236e22e-8d5a-48b3-bc08-ecb610afdec8","title":"Technical Program Manager","department":"Product & Strategy","team":"Product & Strategy","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-21T22:56:44.995+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/e236e22e-8d5a-48b3-bc08-ecb610afdec8","applyUrl":"https://jobs.ashbyhq.com/wayve/e236e22e-8d5a-48b3-bc08-ecb610afdec8/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Technical Program Manager at Wayve, you'll lead complex, cross-functional programs across our engineering org - spanning AI, software, robotics, infrastructure, evaluation, validation, data, and product. You'll turn ambiguity into clear plans and keep multi-team delivery predictable in a fast-moving environment.
Working closely with engineering and cross-functional partners, your impact will be measured by your ability to deliver programs, drive efficiency, manage risk, and align execution with business goals. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.
We hire TPMs across several areas - for example robotics, evaluation & validation, AI platform, and data operations - and we'll explore the best fit with you through the process.
Drive project delivery: Own the project lifecycle and improve delivery outcomes through structured execution and coordination.
Boost efficiency: Identify bottlenecks, streamline workflows, and improve tooling and resource allocation to increase throughput.
Enable cross-team collaboration: Improve alignment across teams through effective communication, shared goals, and faster decisions.
Manage risk proactively: Anticipate issues, develop mitigation plans, and minimise impact on timelines and quality.
Keep stakeholders aligned: Engage regularly with internal stakeholders, manage expectations, and deliver on commitments.
Align with business goals: Ensure programs directly support Wayve's strategic priorities by making smart scope and resource decisions.
Champion continuous improvement: Lead retros, encourage feedback, and implement changes to improve processes, team dynamics, and outcomes.
We're looking for the following skills and experience. (The first three are our must-haves.)
Essential
Bias for action / program delivery: 5+ years leading complex, multi-team software or technology programs in fast-paced or early-stage environments. You get things done.
Technically strong: Comfortable working with engineers and reasoning about modern software, ML, and robotics stacks, even if you don't write code.
Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.
Stays neutral and adapts under pressure: Effective in high-tension, ambiguous situations; you flex your style to keep people aligned and moving.
Strong project management: Skilled at planning, prioritising, managing risk and dependencies, and adapting as things change.
Clear communicator: You explain complex ideas simply, surface risk early, listen well, and keep teams aligned.
Collaborative leader: You bring people together, influence without authority, and create a positive team culture.
Strategic thinking & problem-solving: You keep the bigger picture in mind, stay calm under pressure, and find creative solutions.
Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.
Growth mindset: Open to feedback and always looking to improve.
Desirable
Ideally 8+ years as a Technical Program Manager.
An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).
Exposure to autonomous vehicles, robotics, ML, simulation / evaluation, or other safety-critical or compute-heavy domains.
This is a full-time role based in our office in London. At Wayve, we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Technical Program Manager at Wayve, you'll lead complex, cross-functional programs across our engineering org - spanning AI, software, robotics, infrastructure, evaluation, validation, data, and product. You'll turn ambiguity into clear plans and keep multi-team delivery predictable in a fast-moving environment.\n\nWorking closely with engineering and cross-functional partners, your impact will be measured by your ability to deliver programs, drive efficiency, manage risk, and align execution with business goals. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.\n\nWe hire TPMs across several areas - for example robotics, evaluation & validation, AI platform, and data operations - and we'll explore the best fit with you through the process.\n\n\nKEY RESPONSIBILITIES\n\n - Drive project delivery: Own the project lifecycle and improve delivery outcomes through structured execution and coordination.\n\n - Boost efficiency: Identify bottlenecks, streamline workflows, and improve tooling and resource allocation to increase throughput.\n\n - Enable cross-team collaboration: Improve alignment across teams through effective communication, shared goals, and faster decisions.\n\n - Manage risk proactively: Anticipate issues, develop mitigation plans, and minimise impact on timelines and quality.\n\n - Keep stakeholders aligned: Engage regularly with internal stakeholders, manage expectations, and deliver on commitments.\n\n - Align with business goals: Ensure programs directly support Wayve's strategic priorities by making smart scope and resource decisions.\n\n - Champion continuous improvement: Lead retros, encourage feedback, and implement changes to improve processes, team dynamics, and outcomes.\n\n\nABOUT YOU\n\nWe're looking for the following skills and experience. (The first three are our must-haves.)\n\nEssential\n\n - Bias for action / program delivery: 5+ years leading complex, multi-team software or technology programs in fast-paced or early-stage environments. You get things done.\n\n - Technically strong: Comfortable working with engineers and reasoning about modern software, ML, and robotics stacks, even if you don't write code.\n\n - Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.\n\n - Stays neutral and adapts under pressure: Effective in high-tension, ambiguous situations; you flex your style to keep people aligned and moving.\n\n - Strong project management: Skilled at planning, prioritising, managing risk and dependencies, and adapting as things change.\n\n - Clear communicator: You explain complex ideas simply, surface risk early, listen well, and keep teams aligned.\n\n - Collaborative leader: You bring people together, influence without authority, and create a positive team culture.\n\n - Strategic thinking & problem-solving: You keep the bigger picture in mind, stay calm under pressure, and find creative solutions.\n\n - Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.\n\n - Growth mindset: Open to feedback and always looking to improve.\n\nDesirable\n\n - Ideally 8+ years as a Technical Program Manager.\n\n - An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).\n\n - Exposure to autonomous vehicles, robotics, ML, simulation / evaluation, or other safety-critical or compute-heavy domains.\n\nThis is a full-time role based in our office in London. At Wayve, we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"8f769fb8-53af-47a1-8114-5132fd14d696","title":"Release Manager — AI Models","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-14T08:35:31.802+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/8f769fb8-53af-47a1-8114-5132fd14d696","applyUrl":"https://jobs.ashbyhq.com/wayve/8f769fb8-53af-47a1-8114-5132fd14d696/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
At Wayve, you'll help deliver the value of our breakthrough autonomous-driving technology by ensuring that a core part of our it — the AI model — is released reliably, on time, and to the standard required for production.
As our Model Release Manager, you'll own how new AI models move through the full lifecycle — from hypothesis, through training, evaluation, and on-road testing, to deployment across our vehicle fleet — balancing the fast-paced, non-deterministic nature of ML with structure and disciplined release practices.
We're looking for someone pragmatic, methodical, and system-minded — someone who understands how model releases fit into the broader engineering, evaluation, and product ecosystem, and who introduces the processes and systems needed to achieve stability, clarity, and business goals. This role rewards two things together: strong release-engineering instincts, and the judgment to know where a non-deterministic, hypothesis-driven system breaks those instincts and where it doesn't. If you have the first and are hungry to build the second fast, this is worth a conversation.
Key responsibilities:
Model release planning & coordination: Own the model release cycle, maintaining a steady and predictable cadence for shipping new models while adapting to business priorities.
Gating & promotion: Define and run the gates that promote a model from hypothesis → training → evaluation → validation → deployment. Define and justify the promotion criteria that determine what ships and what is deferred — balancing performance gains, reproducibility, product requirements, safety, and integration compatibility with the onboard software stack and vehicle platform.
Issues management: Drive investigations and follow-up actions on regressions, integration issues, and technical debt; manage rollback/roll-forward of model versions.
Bottleneck identification & improvement: Identify constraints in the model-release process and drive improvements. Implement dashboards and KPIs for visibility, and proactively escalate gaps.
Process & systems building: Understand how model releases fit into the wider system of model development, evaluation, Wayve onboard stack, and product; build processes and frameworks that support clarity, stability, and business goals.
Tooling & automation influence: Partner with ML platform and integration teams to shape end-to-end automated release tooling; define requirements that improve developer experience, release efficiency, and stakeholder communication.
Cross-functional collaboration: Work closely with ML engineering, evaluation and data science, software platform, testing, and product teams to ensure successful and stable model releases.
Clarity & communication: Act as the central point of contact for model-release status, risks, and timelines, keeping stakeholders informed at the right level of detail.
Continuous improvement: Run post-release reviews and drive corrective actions across teams.
In order to set you up for success as a Model Release Manager at Wayve, we're looking for the following skills and experience.
Essential
5+ years in release management, software engineering, or a related field.
Strong understanding of the Software Development Life Cycle (SDLC) and release management practices, including testing strategy, system integration, branching, and versioning.
Conceptual understanding of ML fundamentals — what training data is, the difference between training and inference, what a model version/checkpoint represents, and why model validation is probabilistic rather than pass/fail.
Experience with CI/CD pipelines and automation tools (e.g. GitHub, Buildkite, CLI tools).
Skilled at managing releases in complex, fast-moving systems.
Comfortable operating with high ambiguity — requirements, architecture, and timelines can shift quickly, and you're able to adapt release processes and tooling as needed.
Strong problem-solving and decision-making ability, especially in release trade-offs involving limited or ambiguous data.
Good communication skills, comfortable working with engineers and presenting to leadership.
Desirable
Experience in AI/ML, autonomous vehicles, or robotics.
Familiarity with MLOps methodologies and tooling.
Experience with ML evaluation practices and tooling — especially for physical systems: simulation, model leaderboards, statistically powered experiments (e.g. A/B or shadow-mode testing).
Awareness of model hardware and software dependencies.
BSc or equivalent in Computer Science, Engineering, or a related technical discipline.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAt Wayve, you'll help deliver the value of our breakthrough autonomous-driving technology by ensuring that a core part of our it — the AI model — is released reliably, on time, and to the standard required for production.\n\nAs our Model Release Manager, you'll own how new AI models move through the full lifecycle — from hypothesis, through training, evaluation, and on-road testing, to deployment across our vehicle fleet — balancing the fast-paced, non-deterministic nature of ML with structure and disciplined release practices.\n\nWe're looking for someone pragmatic, methodical, and system-minded — someone who understands how model releases fit into the broader engineering, evaluation, and product ecosystem, and who introduces the processes and systems needed to achieve stability, clarity, and business goals. This role rewards two things together: strong release-engineering instincts, and the judgment to know where a non-deterministic, hypothesis-driven system breaks those instincts and where it doesn't. If you have the first and are hungry to build the second fast, this is worth a conversation.\n\nKey responsibilities:\n\n - Model release planning & coordination: Own the model release cycle, maintaining a steady and predictable cadence for shipping new models while adapting to business priorities.\n\n - Gating & promotion: Define and run the gates that promote a model from hypothesis → training → evaluation → validation → deployment. Define and justify the promotion criteria that determine what ships and what is deferred — balancing performance gains, reproducibility, product requirements, safety, and integration compatibility with the onboard software stack and vehicle platform.\n\n - Issues management: Drive investigations and follow-up actions on regressions, integration issues, and technical debt; manage rollback/roll-forward of model versions.\n\n - Bottleneck identification & improvement: Identify constraints in the model-release process and drive improvements. Implement dashboards and KPIs for visibility, and proactively escalate gaps.\n\n - Process & systems building: Understand how model releases fit into the wider system of model development, evaluation, Wayve onboard stack, and product; build processes and frameworks that support clarity, stability, and business goals.\n\n - Tooling & automation influence: Partner with ML platform and integration teams to shape end-to-end automated release tooling; define requirements that improve developer experience, release efficiency, and stakeholder communication.\n\n - Cross-functional collaboration: Work closely with ML engineering, evaluation and data science, software platform, testing, and product teams to ensure successful and stable model releases.\n\n - Clarity & communication: Act as the central point of contact for model-release status, risks, and timelines, keeping stakeholders informed at the right level of detail.\n\n - Continuous improvement: Run post-release reviews and drive corrective actions across teams.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Model Release Manager at Wayve, we're looking for the following skills and experience.\n\nEssential\n\n - 5+ years in release management, software engineering, or a related field.\n\n - Strong understanding of the Software Development Life Cycle (SDLC) and release management practices, including testing strategy, system integration, branching, and versioning.\n\n - Conceptual understanding of ML fundamentals — what training data is, the difference between training and inference, what a model version/checkpoint represents, and why model validation is probabilistic rather than pass/fail.\n\n - Experience with CI/CD pipelines and automation tools (e.g. GitHub, Buildkite, CLI tools).\n\n - Skilled at managing releases in complex, fast-moving systems.\n\n - Comfortable operating with high ambiguity — requirements, architecture, and timelines can shift quickly, and you're able to adapt release processes and tooling as needed.\n\n - Strong problem-solving and decision-making ability, especially in release trade-offs involving limited or ambiguous data.\n\n - Good communication skills, comfortable working with engineers and presenting to leadership.\n\nDesirable\n\n - Experience in AI/ML, autonomous vehicles, or robotics.\n\n - Familiarity with MLOps methodologies and tooling.\n\n - Experience with ML evaluation practices and tooling — especially for physical systems: simulation, model leaderboards, statistically powered experiments (e.g. A/B or shadow-mode testing).\n\n - Awareness of model hardware and software dependencies.\n\n - BSc or equivalent in Computer Science, Engineering, or a related technical discipline.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"a2cf40e8-afb5-4876-8459-d4b804922870","title":"Director, Application Engineering - US","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Detroit, Michigan USA","secondaryLocations":[],"publishedAt":"2026-08-24T07:52:34.864+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/a2cf40e8-afb5-4876-8459-d4b804922870","applyUrl":"https://jobs.ashbyhq.com/wayve/a2cf40e8-afb5-4876-8459-d4b804922870/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is entering an exciting stage of its journey as we take our AI Driver from breakthrough technology into production vehicles at global scale.
As Director of Application Software, US, you will lead the engineering organisation responsible for bringing Wayve’s core AI and autonomous driving technology into customer vehicles. Sitting at the intersection of our AI and autonomy teams, vehicle engineering, and automotive partners, your team will help turn advances in our core technology into safe, reliable, production-ready driving capabilities.
This is a highly collaborative technical leadership role with the opportunity to shape how Wayve approaches application engineering as we grow. You will build and develop our US organisation, establish strong partnerships with our core engineering teams and customers, and create approaches that allow us to deploy our technology efficiently across different vehicles, platforms, and markets.
We are looking for someone who combines an understanding of autonomous driving and machine learning with strong vehicle systems knowledge. You will not need to be the specialist in every part of the technology stack. You will be supported by experienced technical leaders across application software, integration, AI, and infrastructure. What matters is having the technical judgement to connect these areas, ask the right questions, make thoughtful trade-offs, and create an environment where great engineering teams can succeed.
Lead and grow our US Application Software organisation, creating an inclusive, collaborative environment where engineers and technical leaders can do their best work.
Own how Wayve’s core AI and autonomous driving technology is applied to customer vehicle programmes, from technical definition through integration, validation, release, and production.
Guide the development and delivery of new ADAS and autonomous driving capabilities across machine learning, autonomy, vehicle systems, and application software.
Create a strong technical bridge between Wayve’s core engineering teams and our OEM customers, ensuring customer and vehicle requirements are understood and reflected in engineering priorities.
Provide technical and architectural leadership across autonomous driving, ML-enabled systems, embedded software, vehicle integration, and deployment.
Partner closely with AI, autonomy, product, safety, validation, release, and systems engineering teams to solve complex technical challenges and deliver high-quality customer outcomes.
Turn learning from individual customer programmes into reusable components, engineering practices, and integration approaches that can accelerate future deployments.
Build trusted relationships with senior engineering stakeholders at our automotive partners and represent Wayve in technical discussions, architecture reviews, and programme planning.
Develop senior engineers and engineering managers, creating clear ownership while empowering technical leaders throughout the organisation.
Bring insights from customer deployments back into Wayve’s core technology and product teams, helping shape the evolution of our architecture and global deployment strategy.
We’re looking for an engineering leader who is excited by the challenge of bringing AI-powered autonomous driving technology into the real world.
You may have built your career within autonomous driving, ADAS, automotive AI, an OEM, or another environment where complex software and ML-enabled systems meet the physical world. We recognise that great candidates can come from different backgrounds, and we don’t expect one person to have worked on every part of the technology stack.
Essential:
Significant engineering and leadership experience within autonomous driving, ADAS, automotive AI, or related vehicle technologies.
Strong understanding of autonomous driving and machine learning, including how ML-enabled driving capabilities are developed, integrated, validated, and deployed in vehicles.
Experience taking a new driving feature, behaviour, or capability from development towards production, with meaningful technical ownership across the autonomy/ML and vehicle integration lifecycle.
Experience delivering complex software or AI-enabled systems within production automotive programmes, with a good understanding of vehicle systems, embedded platforms, and integration constraints.
Experience building and leading multidisciplinary engineering teams, including developing senior engineers, technical leaders, and/or engineering managers.
Strong technical judgement and communication skills, with the ability to work effectively across engineering disciplines and build trusted relationships with OEM customers and technical partners.
Desirable:
Experience developing or deploying end-to-end learned driving systems, including model training, adaptation, tuning, or deployment.
Familiarity with automotive embedded environments such as C++, Linux, QNX, or Adaptive AUTOSAR.
Familiarity with automotive development, safety, and security frameworks such as ISO 26262, ISO/SAE 21434, UN R155/156, or A-SPICE.
Experience working across multiple vehicle platforms or OEM programmes and creating reusable technical approaches that can scale across customers.
This is a full-time role based in Detroit or Sunnyvale, CA (hybrid). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
The reasonably estimated salary for this role ranges from $490,000 to $600,000 , plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWayve is entering an exciting stage of its journey as we take our AI Driver from breakthrough technology into production vehicles at global scale.\n\nAs Director of Application Software, US, you will lead the engineering organisation responsible for bringing Wayve’s core AI and autonomous driving technology into customer vehicles. Sitting at the intersection of our AI and autonomy teams, vehicle engineering, and automotive partners, your team will help turn advances in our core technology into safe, reliable, production-ready driving capabilities.\n\nThis is a highly collaborative technical leadership role with the opportunity to shape how Wayve approaches application engineering as we grow. You will build and develop our US organisation, establish strong partnerships with our core engineering teams and customers, and create approaches that allow us to deploy our technology efficiently across different vehicles, platforms, and markets.\n\nWe are looking for someone who combines an understanding of autonomous driving and machine learning with strong vehicle systems knowledge. You will not need to be the specialist in every part of the technology stack. You will be supported by experienced technical leaders across application software, integration, AI, and infrastructure. What matters is having the technical judgement to connect these areas, ask the right questions, make thoughtful trade-offs, and create an environment where great engineering teams can succeed.\n\n\nKEY RESPONSIBILITIES\n\n - Lead and grow our US Application Software organisation, creating an inclusive, collaborative environment where engineers and technical leaders can do their best work.\n\n - Own how Wayve’s core AI and autonomous driving technology is applied to customer vehicle programmes, from technical definition through integration, validation, release, and production.\n\n - Guide the development and delivery of new ADAS and autonomous driving capabilities across machine learning, autonomy, vehicle systems, and application software.\n\n - Create a strong technical bridge between Wayve’s core engineering teams and our OEM customers, ensuring customer and vehicle requirements are understood and reflected in engineering priorities.\n\n - Provide technical and architectural leadership across autonomous driving, ML-enabled systems, embedded software, vehicle integration, and deployment.\n\n - Partner closely with AI, autonomy, product, safety, validation, release, and systems engineering teams to solve complex technical challenges and deliver high-quality customer outcomes.\n\n - Turn learning from individual customer programmes into reusable components, engineering practices, and integration approaches that can accelerate future deployments.\n\n - Build trusted relationships with senior engineering stakeholders at our automotive partners and represent Wayve in technical discussions, architecture reviews, and programme planning.\n\n - Develop senior engineers and engineering managers, creating clear ownership while empowering technical leaders throughout the organisation.\n\n - Bring insights from customer deployments back into Wayve’s core technology and product teams, helping shape the evolution of our architecture and global deployment strategy.\n\n\nABOUT YOU \n\nWe’re looking for an engineering leader who is excited by the challenge of bringing AI-powered autonomous driving technology into the real world.\n\nYou may have built your career within autonomous driving, ADAS, automotive AI, an OEM, or another environment where complex software and ML-enabled systems meet the physical world. We recognise that great candidates can come from different backgrounds, and we don’t expect one person to have worked on every part of the technology stack.\n\nEssential:\n\n - Significant engineering and leadership experience within autonomous driving, ADAS, automotive AI, or related vehicle technologies.\n\n - Strong understanding of autonomous driving and machine learning, including how ML-enabled driving capabilities are developed, integrated, validated, and deployed in vehicles.\n\n - Experience taking a new driving feature, behaviour, or capability from development towards production, with meaningful technical ownership across the autonomy/ML and vehicle integration lifecycle.\n\n - Experience delivering complex software or AI-enabled systems within production automotive programmes, with a good understanding of vehicle systems, embedded platforms, and integration constraints.\n\n - Experience building and leading multidisciplinary engineering teams, including developing senior engineers, technical leaders, and/or engineering managers.\n\n - Strong technical judgement and communication skills, with the ability to work effectively across engineering disciplines and build trusted relationships with OEM customers and technical partners.\n\nDesirable:\n\n - Experience developing or deploying end-to-end learned driving systems, including model training, adaptation, tuning, or deployment.\n\n - Familiarity with automotive embedded environments such as C++, Linux, QNX, or Adaptive AUTOSAR.\n\n - Familiarity with automotive development, safety, and security frameworks such as ISO 26262, ISO/SAE 21434, UN R155/156, or A-SPICE.\n\n - Experience working across multiple vehicle platforms or OEM programmes and creating reusable technical approaches that can scale across customers.\n\nThis is a full-time role based in Detroit or Sunnyvale, CA (hybrid). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nThe reasonably estimated salary for this role ranges from $490,000 to $600,000 , plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"cbbc6647-4b90-4bcb-bb64-3e5cba4e8098","title":"Full-Stack Software Engineer, Model Development Platform","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-18T22:50:12.609+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/cbbc6647-4b90-4bcb-bb64-3e5cba4e8098","applyUrl":"https://jobs.ashbyhq.com/wayve/cbbc6647-4b90-4bcb-bb64-3e5cba4e8098/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Full-Stack Software Engineer within Wayve’s Model Development Platform, you will design, build, and operate the applications and services that support the development and testing of our autonomous driving models. These systems help researchers and engineers manage workflows spanning data, model training, experiment scheduling, evaluation, and on-road testing.
You will work across the full technology stack, creating intuitive web applications and the scalable backend services, APIs, and data models that power them. You will take ownership of significant technical areas, from understanding user needs and shaping solutions through to implementation, deployment, observability, and production support.
This is a hands-on engineering role with meaningful technical leadership responsibilities. You will influence technical decisions within the team, establish effective design patterns, contribute to architectural direction, and help engineers make sound technical choices. You will mentor less-experienced engineers through design discussions, code reviews, pairing, and day-to-day collaboration while continuing to write and deliver high-quality production code.
Deliver end-to-end platform capabilities
Design and deliver applications that make complex model-development workflows easier to manage—from experiment scheduling and evaluation to on-road testing. Work closely with users to understand their needs, shape pragmatic solutions, and own features from initial design through deployment and continuous improvement.
Build scalable, secure, reliable, and performant services
Build and operate production web applications, APIs, and backend services that perform reliably as usage and complexity grow. Apply sound security practices, identify bottlenecks and failure modes, and use testing, observability, and performance analysis to continuously improve the systems you own.
Shape system design and technical direction
Lead the design of significant features and services, making thoughtful trade-offs between delivery speed, scalability, security, operational simplicity, and maintainability. Contribute to design reviews and establish reusable patterns that help the team build coherent, well-integrated systems.
At the Staff level, you will also guide broader architectural decisions, align approaches across teams, and lead complex, multi-quarter technical initiatives.
Lead through hands-on contribution
Remain actively involved in implementation while helping others make strong technical decisions. Mentor junior and mid-level engineers through design discussions, code reviews, pairing, and practical guidance.
Cross-functional collaboration
Partner closely with Product Management, Research, Operations, Design, and other engineering teams to understand user needs and deliver effective solutions. Communicate technical decisions and trade-offs clearly, build alignment between stakeholders, and ensure platform capabilities work coherently across team and system boundaries.
Essential
Full-stack engineering – Strong experience designing, building, and operating production web applications across frontend and backend systems. Experience with modern technologies such as React, TypeScript, Python, Flask, or FastAPI—or comparable frameworks and languages.
Production system design – A strong understanding of system design, API design, data modeling, asynchronous workflows, automated testing, and distributed-system fundamentals. Experience building services that are scalable, secure, reliable, observable, and performant.
End-to-end ownership – A track record of taking significant features or services from problem definition and technical design through implementation, deployment, and production operation.
Technical leadership and mentorship – Experience leading technical discussions, influencing engineering decisions, establishing effective design patterns, and supporting other engineers through design reviews, code reviews, pairing, and practical guidance.
Collaborative problem-solving – The ability to work effectively with engineering, product, research, and operational stakeholders, translating complex requirements into practical solutions and communicating technical decisions and trade-offs clearly.
Desirable
Developer or ML Platforms – Experience building internal platforms, developer tools, workflow systems, or applications used by machine-learning researchers and engineers.
ML Operations and Experimentation – Familiarity with model training, evaluation, experiment tracking, artifact management, or related model-development workflows.
Data and Workflow Systems – Experience with data pipelines, distributed job orchestration, event-driven architectures, or large-scale compute platforms.
Platform Observability – Experience defining service-level indicators and objectives and using metrics, logs, traces, and alerting to improve production reliability.
Security and Data Governance – Knowledge of privacy, compliance, access control, auditability, and secure handling of sensitive or large-scale data.
Domain Experience – Previous experience with autonomous systems, robotics, simulation, or another safety-critical domain.
If you are passionate about building thoughtful, high-quality software that helps researchers and engineers develop safe and intelligent autonomous driving technology, we would love to hear from you.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nFULL-STACK SOFTWARE ENGINEER, MODEL DEVELOPMENT PLATFORM\n\nAs a Full-Stack Software Engineer within Wayve’s Model Development Platform, you will design, build, and operate the applications and services that support the development and testing of our autonomous driving models. These systems help researchers and engineers manage workflows spanning data, model training, experiment scheduling, evaluation, and on-road testing.\n\nYou will work across the full technology stack, creating intuitive web applications and the scalable backend services, APIs, and data models that power them. You will take ownership of significant technical areas, from understanding user needs and shaping solutions through to implementation, deployment, observability, and production support.\n\nThis is a hands-on engineering role with meaningful technical leadership responsibilities. You will influence technical decisions within the team, establish effective design patterns, contribute to architectural direction, and help engineers make sound technical choices. You will mentor less-experienced engineers through design discussions, code reviews, pairing, and day-to-day collaboration while continuing to write and deliver high-quality production code.\n\n\nCHALLENGES YOU WILL OWN\n\nDeliver end-to-end platform capabilities\n\nDesign and deliver applications that make complex model-development workflows easier to manage—from experiment scheduling and evaluation to on-road testing. Work closely with users to understand their needs, shape pragmatic solutions, and own features from initial design through deployment and continuous improvement.\n\nBuild scalable, secure, reliable, and performant services\n\nBuild and operate production web applications, APIs, and backend services that perform reliably as usage and complexity grow. Apply sound security practices, identify bottlenecks and failure modes, and use testing, observability, and performance analysis to continuously improve the systems you own.\n\nShape system design and technical direction\n\nLead the design of significant features and services, making thoughtful trade-offs between delivery speed, scalability, security, operational simplicity, and maintainability. Contribute to design reviews and establish reusable patterns that help the team build coherent, well-integrated systems.\n\nAt the Staff level, you will also guide broader architectural decisions, align approaches across teams, and lead complex, multi-quarter technical initiatives.\n\nLead through hands-on contribution\n\nRemain actively involved in implementation while helping others make strong technical decisions. Mentor junior and mid-level engineers through design discussions, code reviews, pairing, and practical guidance.\n\nCross-functional collaboration\n\nPartner closely with Product Management, Research, Operations, Design, and other engineering teams to understand user needs and deliver effective solutions. Communicate technical decisions and trade-offs clearly, build alignment between stakeholders, and ensure platform capabilities work coherently across team and system boundaries.\n\n\nWHAT WE ARE LOOKING FOR\n\nEssential\n\n - Full-stack engineering – Strong experience designing, building, and operating production web applications across frontend and backend systems. Experience with modern technologies such as React, TypeScript, Python, Flask, or FastAPI—or comparable frameworks and languages.\n\n - Production system design – A strong understanding of system design, API design, data modeling, asynchronous workflows, automated testing, and distributed-system fundamentals. Experience building services that are scalable, secure, reliable, observable, and performant.\n\n - End-to-end ownership – A track record of taking significant features or services from problem definition and technical design through implementation, deployment, and production operation.\n\n - Technical leadership and mentorship – Experience leading technical discussions, influencing engineering decisions, establishing effective design patterns, and supporting other engineers through design reviews, code reviews, pairing, and practical guidance.\n\n - Collaborative problem-solving – The ability to work effectively with engineering, product, research, and operational stakeholders, translating complex requirements into practical solutions and communicating technical decisions and trade-offs clearly.\n\nDesirable\n\n - Developer or ML Platforms – Experience building internal platforms, developer tools, workflow systems, or applications used by machine-learning researchers and engineers.\n\n - ML Operations and Experimentation – Familiarity with model training, evaluation, experiment tracking, artifact management, or related model-development workflows.\n\n - Data and Workflow Systems – Experience with data pipelines, distributed job orchestration, event-driven architectures, or large-scale compute platforms.\n\n - Platform Observability – Experience defining service-level indicators and objectives and using metrics, logs, traces, and alerting to improve production reliability.\n\n - Security and Data Governance – Knowledge of privacy, compliance, access control, auditability, and secure handling of sensitive or large-scale data.\n\n - Domain Experience – Previous experience with autonomous systems, robotics, simulation, or another safety-critical domain.\n\nIf you are passionate about building thoughtful, high-quality software that helps researchers and engineers develop safe and intelligent autonomous driving technology, we would love to hear from you.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"0dc6a204-0e56-4122-b135-350de540e419","title":"Product Marketing Manager","department":"Product & Strategy","team":"Product & Strategy","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-25T06:25:12.125+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/0dc6a204-0e56-4122-b135-350de540e419","applyUrl":"https://jobs.ashbyhq.com/wayve/0dc6a204-0e56-4122-b135-350de540e419/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are seeking an experienced and results-driven Product Marketing Manager to lead the strategic positioning of Wayve's Embodied AI software products for OEMs. You will develop and execute a global product marketing strategy to drive demand, awareness, and positive perception of our automotive products. Your work will inform/educate automotive OEMs, Tier 1 providers, and SoC and systems architects about our products and establish Wayve as a leading AI developer for assisted and automated driving.
As the Product Marketing Manager, you will work across core teams, including Product & Strategy, Technical Business Development, Automotive, and Marketing, to create compelling narratives that showcase Wayve’s unique value proposition. You will play a key role in developing marketing materials that will educate automotive OEMs, Tier 1 suppliers, and SoC and systems architects about our AI technology and establish Wayve as a leader in the future of driving automation.
We’re looking for a strategic thinker with exceptional communication skills to elevate Wayve’s market presence and help transform the automotive industry.
Key Responsibilities:
Product Marketing Strategy:
Develop and implement a global product marketing strategy that positions Wayve as a leading developer of Automotive AI, highlighting our Embodied AI software as the key enabler for OEMs transitioning to advanced assisted and automated driving.
Craft a compelling product narrative that differentiates Wayve in a competitive market, showcasing how our technology enables L2+, L3, and L4 automation via Embodied AI
Define clear value propositions for Wayve’s product portfolio, highlighting unique selling points that drive adoption and engagement across the automotive sector.
Monitor and analyze market trends and competitive product offerings, particularly in ADAS and Automated Driving technologies, to inform product positioning and marketing strategies.
Campaign Development:
Create and execute integrated marketing campaigns that communicate Wayve’s product vision and technological leadership to automakers, establishing a competitive edge in the market.
Lead the development of content and promotional materials that build trust in AI-driven driving automation and drive consumer interest.
Manage and track all product-related marketing activities, including website content, digital campaigns, product blogs, thought-leadership initiatives, co-marketing efforts with partners, and industry events.
Support Pipeline Growth:
Develop marketing strategies that increase brand visibility and product awareness, generate leads, and support market expansion.
Collaborate with the Automotive and Technical BD teams to create sales enablement materials (e.g., presentations, competitive analysis, demos, and targeted campaigns) to support their customer engagments.
Cross-Functional Collaboration:
Work closely with Engineering, Product Management, and Business Development to translate complex technical details about our Embodied AI products into compelling, customer-friendly messaging.
Develop internal training and product knowledge resources to ensure teams across the company understand our products’ value propositions and how they solve critical industry challenges.
In order to set you up for success as a Product Marketing Manager at Wayve, we’re looking for the following skills and experience.
Essential:
Proven expertise in strategic positioning, value proposition development, and product marketing, specifically within the automotive industry.
Strong knowledge of the full B2B marketing mix and its role in driving pipeline growth, especially within complex, technical sales cycles.
Exceptional collaboration, communication, and project management skills with a keen eye for detail.
Demonstrated ability to prioritize and multitask effectively, especially when working with cross-functional teams, including technical engineering groups and senior leadership.
Resilient and optimistic when faced with challenges—able to view setbacks as opportunities for growth, while maintaining focus on long-term objectives.
Outstanding writing, editing, and content development skills with the ability to translate complex technical concepts into clear, compelling messaging tailored to a customer-focused audience.
Desirable:
Direct experience in the AV industry or with automotive software and AI applications.
Technical background is an asset
This is a full-time role based in our office in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $173,800 to $250,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWe are seeking an experienced and results-driven Product Marketing Manager to lead the strategic positioning of Wayve's Embodied AI software products for OEMs. You will develop and execute a global product marketing strategy to drive demand, awareness, and positive perception of our automotive products. Your work will inform/educate automotive OEMs, Tier 1 providers, and SoC and systems architects about our products and establish Wayve as a leading AI developer for assisted and automated driving. \n\nAs the Product Marketing Manager, you will work across core teams, including Product & Strategy, Technical Business Development, Automotive, and Marketing, to create compelling narratives that showcase Wayve’s unique value proposition. You will play a key role in developing marketing materials that will educate automotive OEMs, Tier 1 suppliers, and SoC and systems architects about our AI technology and establish Wayve as a leader in the future of driving automation.\n\nWe’re looking for a strategic thinker with exceptional communication skills to elevate Wayve’s market presence and help transform the automotive industry. \n\nKey Responsibilities:\n\n - Product Marketing Strategy: \n Develop and implement a global product marketing strategy that positions Wayve as a leading developer of Automotive AI, highlighting our Embodied AI software as the key enabler for OEMs transitioning to advanced assisted and automated driving. \n Craft a compelling product narrative that differentiates Wayve in a competitive market, showcasing how our technology enables L2+, L3, and L4 automation via Embodied AI\n Define clear value propositions for Wayve’s product portfolio, highlighting unique selling points that drive adoption and engagement across the automotive sector.\n Monitor and analyze market trends and competitive product offerings, particularly in ADAS and Automated Driving technologies, to inform product positioning and marketing strategies.\n\n - Campaign Development: \n Create and execute integrated marketing campaigns that communicate Wayve’s product vision and technological leadership to automakers, establishing a competitive edge in the market. \n Lead the development of content and promotional materials that build trust in AI-driven driving automation and drive consumer interest.\n Manage and track all product-related marketing activities, including website content, digital campaigns, product blogs, thought-leadership initiatives, co-marketing efforts with partners, and industry events.\n\n - Support Pipeline Growth: \n Develop marketing strategies that increase brand visibility and product awareness, generate leads, and support market expansion. \n Collaborate with the Automotive and Technical BD teams to create sales enablement materials (e.g., presentations, competitive analysis, demos, and targeted campaigns) to support their customer engagments.\n\n - Cross-Functional Collaboration: \n Work closely with Engineering, Product Management, and Business Development to translate complex technical details about our Embodied AI products into compelling, customer-friendly messaging.\n Develop internal training and product knowledge resources to ensure teams across the company understand our products’ value propositions and how they solve critical industry challenges.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Product Marketing Manager at Wayve, we’re looking for the following skills and experience. \n\nEssential:\n\n - Proven expertise in strategic positioning, value proposition development, and product marketing, specifically within the automotive industry. \n\n - Strong knowledge of the full B2B marketing mix and its role in driving pipeline growth, especially within complex, technical sales cycles.\n\n - Exceptional collaboration, communication, and project management skills with a keen eye for detail. \n\n - Demonstrated ability to prioritize and multitask effectively, especially when working with cross-functional teams, including technical engineering groups and senior leadership.\n\n - Resilient and optimistic when faced with challenges—able to view setbacks as opportunities for growth, while maintaining focus on long-term objectives.\n\n - Outstanding writing, editing, and content development skills with the ability to translate complex technical concepts into clear, compelling messaging tailored to a customer-focused audience.\n\nDesirable:\n\n - Direct experience in the AV industry or with automotive software and AI applications.\n\n - Technical background is an asset\n\nThis is a full-time role based in our office in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $173,800 to $250,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"9e63a1ad-f9c1-412c-8111-9fd74fa1dc83","title":"Product Marketing Manager","department":"Product & Strategy","team":"Product & Strategy","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-25T06:25:14.300+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/9e63a1ad-f9c1-412c-8111-9fd74fa1dc83","applyUrl":"https://jobs.ashbyhq.com/wayve/9e63a1ad-f9c1-412c-8111-9fd74fa1dc83/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are seeking an experienced and results-driven Product Marketing Manager to lead the strategic positioning of Wayve's Embodied AI software products for OEMs. You will develop and execute a global product marketing strategy to drive demand, awareness, and positive perception of our automotive products. Your work will inform/educate automotive OEMs, Tier 1 providers, and SoC and systems architects about our products and establish Wayve as a leading AI developer for assisted and automated driving.
As the Product Marketing Manager, you will work across core teams, including Product & Strategy, Technical Business Development, Automotive, and Marketing, to create compelling narratives that showcase Wayve’s unique value proposition. You will play a key role in developing marketing materials that will educate automotive OEMs, Tier 1 suppliers, and SoC and systems architects about our AI technology and establish Wayve as a leader in the future of driving automation.
We’re looking for a strategic thinker with exceptional communication skills to elevate Wayve’s market presence and help transform the automotive industry.
Key Responsibilities:
Product Marketing Strategy:
Develop and implement a global product marketing strategy that positions Wayve as a leading developer of Automotive AI, highlighting our Embodied AI software as the key enabler for OEMs transitioning to advanced assisted and automated driving.
Craft a compelling product narrative that differentiates Wayve in a competitive market, showcasing how our technology enables L2+, L3, and L4 automation via Embodied AI
Define clear value propositions for Wayve’s product portfolio, highlighting unique selling points that drive adoption and engagement across the automotive sector.
Monitor and analyze market trends and competitive product offerings, particularly in ADAS and Automated Driving technologies, to inform product positioning and marketing strategies.
Campaign Development:
Create and execute integrated marketing campaigns that communicate Wayve’s product vision and technological leadership to automakers, establishing a competitive edge in the market.
Lead the development of content and promotional materials that build trust in AI-driven driving automation and drive consumer interest.
Manage and track all product-related marketing activities, including website content, digital campaigns, product blogs, thought-leadership initiatives, co-marketing efforts with partners, and industry events.
Support Pipeline Growth:
Develop marketing strategies that increase brand visibility and product awareness, generate leads, and support market expansion.
Collaborate with the Automotive and Technical BD teams to create sales enablement materials (e.g., presentations, competitive analysis, demos, and targeted campaigns) to support their customer engagments.
Cross-Functional Collaboration:
Work closely with Engineering, Product Management, and Business Development to translate complex technical details about our Embodied AI products into compelling, customer-friendly messaging.
Develop internal training and product knowledge resources to ensure teams across the company understand our products’ value propositions and how they solve critical industry challenges.
In order to set you up for success as a Product Marketing Manager at Wayve, we’re looking for the following skills and experience.
Essential:
Proven expertise in strategic positioning, value proposition development, and product marketing, specifically within the automotive industry.
Strong knowledge of the full B2B marketing mix and its role in driving pipeline growth, especially within complex, technical sales cycles.
Exceptional collaboration, communication, and project management skills with a keen eye for detail.
Demonstrated ability to prioritize and multitask effectively, especially when working with cross-functional teams, including technical engineering groups and senior leadership.
Resilient and optimistic when faced with challenges—able to view setbacks as opportunities for growth, while maintaining focus on long-term objectives.
Outstanding writing, editing, and content development skills with the ability to translate complex technical concepts into clear, compelling messaging tailored to a customer-focused audience.
Desirable:
Direct experience in the AV industry or with automotive software and AI applications.
Technical background is an asset
This is a full-time role based in our office in London (hybrid). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWe are seeking an experienced and results-driven Product Marketing Manager to lead the strategic positioning of Wayve's Embodied AI software products for OEMs. You will develop and execute a global product marketing strategy to drive demand, awareness, and positive perception of our automotive products. Your work will inform/educate automotive OEMs, Tier 1 providers, and SoC and systems architects about our products and establish Wayve as a leading AI developer for assisted and automated driving. \n\nAs the Product Marketing Manager, you will work across core teams, including Product & Strategy, Technical Business Development, Automotive, and Marketing, to create compelling narratives that showcase Wayve’s unique value proposition. You will play a key role in developing marketing materials that will educate automotive OEMs, Tier 1 suppliers, and SoC and systems architects about our AI technology and establish Wayve as a leader in the future of driving automation.\n\nWe’re looking for a strategic thinker with exceptional communication skills to elevate Wayve’s market presence and help transform the automotive industry. \n\nKey Responsibilities:\n\n - Product Marketing Strategy: \n Develop and implement a global product marketing strategy that positions Wayve as a leading developer of Automotive AI, highlighting our Embodied AI software as the key enabler for OEMs transitioning to advanced assisted and automated driving. \n Craft a compelling product narrative that differentiates Wayve in a competitive market, showcasing how our technology enables L2+, L3, and L4 automation via Embodied AI\n Define clear value propositions for Wayve’s product portfolio, highlighting unique selling points that drive adoption and engagement across the automotive sector.\n Monitor and analyze market trends and competitive product offerings, particularly in ADAS and Automated Driving technologies, to inform product positioning and marketing strategies.\n\n - Campaign Development: \n Create and execute integrated marketing campaigns that communicate Wayve’s product vision and technological leadership to automakers, establishing a competitive edge in the market. \n Lead the development of content and promotional materials that build trust in AI-driven driving automation and drive consumer interest.\n Manage and track all product-related marketing activities, including website content, digital campaigns, product blogs, thought-leadership initiatives, co-marketing efforts with partners, and industry events.\n\n - Support Pipeline Growth: \n Develop marketing strategies that increase brand visibility and product awareness, generate leads, and support market expansion. \n Collaborate with the Automotive and Technical BD teams to create sales enablement materials (e.g., presentations, competitive analysis, demos, and targeted campaigns) to support their customer engagments.\n\n - Cross-Functional Collaboration: \n Work closely with Engineering, Product Management, and Business Development to translate complex technical details about our Embodied AI products into compelling, customer-friendly messaging.\n Develop internal training and product knowledge resources to ensure teams across the company understand our products’ value propositions and how they solve critical industry challenges.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Product Marketing Manager at Wayve, we’re looking for the following skills and experience. \n\nEssential:\n\n - Proven expertise in strategic positioning, value proposition development, and product marketing, specifically within the automotive industry. \n\n - Strong knowledge of the full B2B marketing mix and its role in driving pipeline growth, especially within complex, technical sales cycles.\n\n - Exceptional collaboration, communication, and project management skills with a keen eye for detail. \n\n - Demonstrated ability to prioritize and multitask effectively, especially when working with cross-functional teams, including technical engineering groups and senior leadership.\n\n - Resilient and optimistic when faced with challenges—able to view setbacks as opportunities for growth, while maintaining focus on long-term objectives.\n\n - Outstanding writing, editing, and content development skills with the ability to translate complex technical concepts into clear, compelling messaging tailored to a customer-focused audience.\n\nDesirable:\n\n - Direct experience in the AV industry or with automotive software and AI applications.\n\n - Technical background is an asset\n\nThis is a full-time role based in our office in London (hybrid). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"318f0574-de7c-40c9-a5f0-536033246f55","title":"Engineering Manager, OS, Robot Software","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-25T21:29:50.067+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/318f0574-de7c-40c9-a5f0-536033246f55","applyUrl":"https://jobs.ashbyhq.com/wayve/318f0574-de7c-40c9-a5f0-536033246f55/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Engineering Manager for OS, you'll lead a single team and be accountable for its delivery, engagement, resourcing, roadmap, and performance. People leadership is your first priority: you'll coach and grow the team, keep it engaged and high-performing, and own hiring as the team stands up. You'll pair that with strong technical judgment — setting clear technical direction and owning the outcome of the team's technical decisions. You will lead the planning for the team - setting the direction for the team and identifying the highest impact work for the business.
Lead and grow the team (first priority): keep the team engaged, developing, and performing with good morale; run 1:1s, set clear expectations, give regular high-quality feedback, manage performance, and support career growth against our career framework.
Hire and build the team: own hiring and onboarding to get the right people in the right roles, and shape the team's culture and ways of working as it forms.
Drive execution: ensure the team's work advances company goals; staff committed programs, keep the roadmap aligned to available resources, prioritize, and hold the team accountable for delivery, quality, and operational reliability.
Set technical direction: ensure the team has a clear, holistic technical direction and clear ownership of its technology-roadmap milestones — working closely with the team's tech lead(s) and stakeholders; own the outcome of the team's technical decisions.
Own the OS foundations: guide the team's work across system design, implementation, testing, deployment, monitoring, and continuous improvement. Evaluate and drive the roadmap of the operating system at Wayve. Unlock new hardware platform enablement with incremental work and minimal performance degradation. Implement and maintain strong CI, HIL, and internal quality gates to provide a robust framework for fast iteration.
Bring up new hardware platforms: collaborate with our Hardware partners on new board bring-ups and scale with quality. Optimize build, package, and deployment systems for broad capability and high heterogeneity. Set quality metrics and targets to gate deployment from 1 to 10,000 units and follow through with fully automated testing and release gates.
Collaborate and unblock: cascade the roadmap, partner with internal Vehicle Software teams, model developers, hardware, and OEM programs. Act as the point of escalation for your team, and proactively surface and resolve risks and dependencies.
Engineering management experience (essential): a track record of leading, growing, engaging, and retaining a high-performing software/systems team — including hiring, coaching, feedback, and performance management. People management is your first priority.
Delivery through a team: experience owning a team's roadmap and shipping through others — planning, prioritization, resourcing, and accountability for quality and operational reliability.
Technical credibility: hands-on depth in what takes to architect and deliver embedded software shipped on a product to real customers. Demonstrate knowledge of high-performance, low-latency embedded software (C & C++ preferred) to earn the trust of senior engineers and own the team's technical decisions. You don't need to be the team's top individual contributor.
OS fundamentals: solid understanding of the linux kernel, device trees, board support packages, build & packaging systems for embedded devices, software update and OTA, QNX fundamentals, security and robust testing in SIL and HIL
Peripheral drivers: broad experience authoring highly performant and reliable periperhal drivers with experience across both low & high (e.g. PCIe) speed devices. Bonus points for experience with software/hardware architectures that implement high reliability fault tolerance.
Leadership:
Cross functional: the ability to set direction and deliver through influence across many stakeholder teams.
Diversity: experience managing direct reports in different time zones and leading projects involving external partners and vendors
Experience with NVIDIA DriveOS
Experience with a micro-kernel and/or real-time OS (e.g. QNX) is a plus.
Experience with NVIDIA Jetson and/or Drive platforms, Qualcomm, AMD, or Renesas compute platforms.
The OS team supports Wayve's on-vehicle stack — other on-board components rely on the foundations, frameworks, observability, and layers it owns. You'll lead a team whose work contributes to how Wayve scales its AI Driver to new vehicles, OEM programs, and other embodiments.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $276,100 to $311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs Engineering Manager for OS, you'll lead a single team and be accountable for its delivery, engagement, resourcing, roadmap, and performance. People leadership is your first priority: you'll coach and grow the team, keep it engaged and high-performing, and own hiring as the team stands up. You'll pair that with strong technical judgment — setting clear technical direction and owning the outcome of the team's technical decisions. You will lead the planning for the team - setting the direction for the team and identifying the highest impact work for the business.\n\n\nWHAT YOU'LL DO\n\n - Lead and grow the team (first priority): keep the team engaged, developing, and performing with good morale; run 1:1s, set clear expectations, give regular high-quality feedback, manage performance, and support career growth against our career framework.\n\n - Hire and build the team: own hiring and onboarding to get the right people in the right roles, and shape the team's culture and ways of working as it forms.\n\n - Drive execution: ensure the team's work advances company goals; staff committed programs, keep the roadmap aligned to available resources, prioritize, and hold the team accountable for delivery, quality, and operational reliability.\n\n - Set technical direction: ensure the team has a clear, holistic technical direction and clear ownership of its technology-roadmap milestones — working closely with the team's tech lead(s) and stakeholders; own the outcome of the team's technical decisions.\n\n - Own the OS foundations: guide the team's work across system design, implementation, testing, deployment, monitoring, and continuous improvement. Evaluate and drive the roadmap of the operating system at Wayve. Unlock new hardware platform enablement with incremental work and minimal performance degradation. Implement and maintain strong CI, HIL, and internal quality gates to provide a robust framework for fast iteration.\n\n - Bring up new hardware platforms: collaborate with our Hardware partners on new board bring-ups and scale with quality. Optimize build, package, and deployment systems for broad capability and high heterogeneity. Set quality metrics and targets to gate deployment from 1 to 10,000 units and follow through with fully automated testing and release gates.\n\n - Collaborate and unblock: cascade the roadmap, partner with internal Vehicle Software teams, model developers, hardware, and OEM programs. Act as the point of escalation for your team, and proactively surface and resolve risks and dependencies.\n\n\nWHAT YOU'LL BRING\n\n - Engineering management experience (essential): a track record of leading, growing, engaging, and retaining a high-performing software/systems team — including hiring, coaching, feedback, and performance management. People management is your first priority.\n\n - Delivery through a team: experience owning a team's roadmap and shipping through others — planning, prioritization, resourcing, and accountability for quality and operational reliability.\n\n - Technical credibility: hands-on depth in what takes to architect and deliver embedded software shipped on a product to real customers. Demonstrate knowledge of high-performance, low-latency embedded software (C & C++ preferred) to earn the trust of senior engineers and own the team's technical decisions. You don't need to be the team's top individual contributor.\n\n - OS fundamentals: solid understanding of the linux kernel, device trees, board support packages, build & packaging systems for embedded devices, software update and OTA, QNX fundamentals, security and robust testing in SIL and HIL\n\n - Peripheral drivers: broad experience authoring highly performant and reliable periperhal drivers with experience across both low & high (e.g. PCIe) speed devices. Bonus points for experience with software/hardware architectures that implement high reliability fault tolerance.\n\n - Leadership:\n \n - Cross functional: the ability to set direction and deliver through influence across many stakeholder teams.\n \n - Diversity: experience managing direct reports in different time zones and leading projects involving external partners and vendors\n\n\nNICE TO HAVE\n\n - Experience with NVIDIA DriveOS\n\n - Experience with a micro-kernel and/or real-time OS (e.g. QNX) is a plus.\n\n - Experience with NVIDIA Jetson and/or Drive platforms, Qualcomm, AMD, or Renesas compute platforms.\n\n\nWHY THIS TEAM\n\nThe OS team supports Wayve's on-vehicle stack — other on-board components rely on the foundations, frameworks, observability, and layers it owns. You'll lead a team whose work contributes to how Wayve scales its AI Driver to new vehicles, OEM programs, and other embodiments.\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $276,100 to $311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"d4240f89-e3d6-49ee-b081-e10600c16cd1","title":"DevOps Engineer ","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-01T17:34:45.499+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/d4240f89-e3d6-49ee-b081-e10600c16cd1","applyUrl":"https://jobs.ashbyhq.com/wayve/d4240f89-e3d6-49ee-b081-e10600c16cd1/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
As a DevOps CI/CD Engineer, you’ll work on the build and CI/CD systems that enable Wayve’s engineering teams to develop, test, and release software efficiently and reliably.
You’ll help make our pipelines faster, more scalable, more secure, and easier for engineers to use. You’ll work closely with software engineers across the business to understand workflow pain points, troubleshoot complex build and pipeline issues, and deliver infrastructure and tooling improvements that have a direct impact on engineering productivity.
This is a hands-on engineering role with opportunities to deepen your expertise across CI/CD infrastructure, build systems, developer experience, automation, and operational best practices.
Build, maintain, and improve CI/CD pipelines and build infrastructure across development, testing, and release workflows.
Improve build performance, reliability, and scalability, including caching, dependency management, incremental builds, and reproducible builds.
Develop tooling and automation that improves developer workflows and reduces build and test feedback times.
Operate and scale CI infrastructure, including build agents, runners, artifact storage, and supporting services.
Monitor, investigate, and troubleshoot build and pipeline failures, working with engineering teams to identify root causes and implement long-term fixes.
Contribute to the evolution of Wayve’s CI/CD architecture, security, and operational practices as engineering workloads scale.
Partner with engineering teams to improve developer experience and support efficient software delivery.
Take part in a team on-call rotation, providing out-of-hours support for critical systems when required.
3+ years of experience in DevOps, build engineering, CI/CD, developer infrastructure, platform engineering, or a related engineering role.
Hands-on experience building, maintaining, or significantly improving CI/CD pipelines and automation systems.
Experience with CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, Buildkite, Azure DevOps, or similar.
Experience with build tooling and concepts such as dependency management, caching, incremental builds, artifact management, and reproducible builds.
Strong experience working with Linux, Git, and shell scripting. Programming or scripting experience using Python, Bash, Go, or similar.
Strong troubleshooting and problem-solving skills, especially in complex build, pipeline, or infrastructure environments.
A collaborative mindset and the ability to work effectively with engineering teams to improve developer workflows.
Experience operating CI infrastructure at scale, including runners, agents, distributed build systems, or self-hosted CI environments.
Experience with cloud infrastructure, containers, Kubernetes, or infrastructure-as-code.
Exposure to security best practices in CI/CD environments, including secrets management, dependency security, and pipeline hardening.
Experience improving developer experience or internal platform tooling.
Experience supporting software delivery in complex engineering environments, such as robotics, autonomous systems, machine learning, or large-scale software platforms.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nAs a DevOps CI/CD Engineer, you’ll work on the build and CI/CD systems that enable Wayve’s engineering teams to develop, test, and release software efficiently and reliably.\n\nYou’ll help make our pipelines faster, more scalable, more secure, and easier for engineers to use. You’ll work closely with software engineers across the business to understand workflow pain points, troubleshoot complex build and pipeline issues, and deliver infrastructure and tooling improvements that have a direct impact on engineering productivity.\n\nThis is a hands-on engineering role with opportunities to deepen your expertise across CI/CD infrastructure, build systems, developer experience, automation, and operational best practices.\n\n\nKEY RESPONSIBILITIES\n\n - Build, maintain, and improve CI/CD pipelines and build infrastructure across development, testing, and release workflows.\n\n - Improve build performance, reliability, and scalability, including caching, dependency management, incremental builds, and reproducible builds.\n\n - Develop tooling and automation that improves developer workflows and reduces build and test feedback times.\n\n - Operate and scale CI infrastructure, including build agents, runners, artifact storage, and supporting services.\n\n - Monitor, investigate, and troubleshoot build and pipeline failures, working with engineering teams to identify root causes and implement long-term fixes.\n\n - Contribute to the evolution of Wayve’s CI/CD architecture, security, and operational practices as engineering workloads scale.\n\n - Partner with engineering teams to improve developer experience and support efficient software delivery.\n\n - Take part in a team on-call rotation, providing out-of-hours support for critical systems when required.\n\n\nESSENTIAL SKILLS\n\n - 3+ years of experience in DevOps, build engineering, CI/CD, developer infrastructure, platform engineering, or a related engineering role.\n\n - Hands-on experience building, maintaining, or significantly improving CI/CD pipelines and automation systems.\n\n - Experience with CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, Buildkite, Azure DevOps, or similar.\n\n - Experience with build tooling and concepts such as dependency management, caching, incremental builds, artifact management, and reproducible builds.\n\n - Strong experience working with Linux, Git, and shell scripting. Programming or scripting experience using Python, Bash, Go, or similar.\n\n - Strong troubleshooting and problem-solving skills, especially in complex build, pipeline, or infrastructure environments.\n\n - A collaborative mindset and the ability to work effectively with engineering teams to improve developer workflows.\n\n\nDESIRABLE SKILLS\n\n - Experience operating CI infrastructure at scale, including runners, agents, distributed build systems, or self-hosted CI environments.\n\n - Experience with cloud infrastructure, containers, Kubernetes, or infrastructure-as-code.\n\n - Exposure to security best practices in CI/CD environments, including secrets management, dependency security, and pipeline hardening.\n\n - Experience improving developer experience or internal platform tooling.\n\n - Experience supporting software delivery in complex engineering environments, such as robotics, autonomous systems, machine learning, or large-scale software platforms.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"416f25d2-3c7e-4e46-94d1-3eb377ea93f8","title":"Senior Software Engineer, Data","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-25T09:20:28.591+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/416f25d2-3c7e-4e46-94d1-3eb377ea93f8","applyUrl":"https://jobs.ashbyhq.com/wayve/416f25d2-3c7e-4e46-94d1-3eb377ea93f8/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Portal is the cloud platform that connects Wayve to the outside world: handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's AI driver on vehicles across the globe.
We're looking for a Senior Software Engineer, Data to help build Wayve's Data Transfer Hub: a mission-critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partners covering vehicles around the world.
This is a pivotal project at Wayve. You'll work as part of a small, high-autonomy team building a globally distributed hub-and-spoke data exchange system, working with partners like Uber, Stellantis and Nissan. Your work will help make Wayve's AI model training possible at scale.
Key responsibilities:
Build and operate large-scale data transfer pipelines for video, LiDAR and sensor data from global partners at up to PB/day scale
Contribute to the technical design of the Data Transfer Hub, making pragmatic trade-offs across UX, careliability, throughput, cost, partner constraints, observability and operational support
Build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event-driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure
Help implement and evolve a globally distributed hub-and-spoke data transfer model to retrieve and share sensor data at scale with partners
Write infrastructure-as-code in Terraform and pipeline logic primarily in Python
Build reliable operational foundations, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, dashboards and alerting
Work on cloud-to-cloud and cross-cloud networking solutions, with Azure as the primary cloud platform
Once established, participate in an out-of-hours on-call and support rotation.
Collaborate with product, commercial and partner-facing teams to understand constraints and deliver solutions that solve real customer and partner problems
Work in a fast-changing environment where requirements and partner deliverable dates evolve, while maintaining high engineering standards
In order to set you up for success as a Senior Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Proven experience building and operating large-scale data transfer, ingestion or data processing pipelines, ideally at multi-TB or PB scale
Strong software engineering skills
Experience delivering & maintaining production systems
Experience with workflow orchestration for parallelised jobs; Flyte preferred, but Airflow, Prefect or similar tools are also relevant
Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting
Strong cloud platform skills, with Azure preferred; experience with AWS or GCP is a plus
Proficiency in Python and Terraform
Experience with blob/object storage, large-scale file movement, networking or cloud-to-cloud data transfer
A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements
Comfort working in a fast-changing environment with evolving requirements
A strong sense of ownership: you take responsibility for outcomes, communicate clearly, and help the team move quickly
Desirable
Experience working with external data partners or customer-facing technical integrations
Background in autonomous vehicles, robotics, geospatial data, video processing or other data-intensive domains
Experience with Kafka or other event-driven systems for transfer observability and lifecycle tracking
Experience building dashboards to communicate transfer job status
Multi-cloud experience across Azure, AWS and/or GCP
Experience improving cost efficiency, throughput or reliability of large-scale cloud data systems
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nPortal is the cloud platform that connects Wayve to the outside world: handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's AI driver on vehicles across the globe.\n\nWe're looking for a Senior Software Engineer, Data to help build Wayve's Data Transfer Hub: a mission-critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partners covering vehicles around the world.\n\nThis is a pivotal project at Wayve. You'll work as part of a small, high-autonomy team building a globally distributed hub-and-spoke data exchange system, working with partners like Uber, Stellantis and Nissan. Your work will help make Wayve's AI model training possible at scale.\n\nKey responsibilities:\n\n - Build and operate large-scale data transfer pipelines for video, LiDAR and sensor data from global partners at up to PB/day scale\n\n - Contribute to the technical design of the Data Transfer Hub, making pragmatic trade-offs across UX, careliability, throughput, cost, partner constraints, observability and operational support\n\n - Build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event-driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure\n\n - Help implement and evolve a globally distributed hub-and-spoke data transfer model to retrieve and share sensor data at scale with partners\n\n - Write infrastructure-as-code in Terraform and pipeline logic primarily in Python\n\n - Build reliable operational foundations, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, dashboards and alerting\n\n - Work on cloud-to-cloud and cross-cloud networking solutions, with Azure as the primary cloud platform\n\n - Once established, participate in an out-of-hours on-call and support rotation.\n\n - Collaborate with product, commercial and partner-facing teams to understand constraints and deliver solutions that solve real customer and partner problems\n\n - Work in a fast-changing environment where requirements and partner deliverable dates evolve, while maintaining high engineering standards\n\n \n\n\nABOUT YOU \n\nIn order to set you up for success as a Senior Software Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Proven experience building and operating large-scale data transfer, ingestion or data processing pipelines, ideally at multi-TB or PB scale\n\n - Strong software engineering skills\n\n - Experience delivering & maintaining production systems\n\n - Experience with workflow orchestration for parallelised jobs; Flyte preferred, but Airflow, Prefect or similar tools are also relevant\n\n - Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting\n\n - Strong cloud platform skills, with Azure preferred; experience with AWS or GCP is a plus\n\n - Proficiency in Python and Terraform\n\n - Experience with blob/object storage, large-scale file movement, networking or cloud-to-cloud data transfer\n\n - A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements\n\n - Comfort working in a fast-changing environment with evolving requirements\n\n - A strong sense of ownership: you take responsibility for outcomes, communicate clearly, and help the team move quickly\n\nDesirable \n\n - Experience working with external data partners or customer-facing technical integrations\n\n - Background in autonomous vehicles, robotics, geospatial data, video processing or other data-intensive domains\n\n - Experience with Kafka or other event-driven systems for transfer observability and lifecycle tracking\n\n - Experience building dashboards to communicate transfer job status\n\n - Multi-cloud experience across Azure, AWS and/or GCP\n\n - Experience improving cost efficiency, throughput or reliability of large-scale cloud data systems\n\n \n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"dae98fbd-00de-46eb-8cd6-942b90c28021","title":"Senior Network & Infrastructure Engineer ","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Herzliya, Israel","secondaryLocations":[],"publishedAt":"2026-08-25T17:14:08.392+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/dae98fbd-00de-46eb-8cd6-942b90c28021","applyUrl":"https://jobs.ashbyhq.com/wayve/dae98fbd-00de-46eb-8cd6-942b90c28021/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Wayve grows across continents, we're seeking a Senior Network & Infrastructure Engineer to take ownership of our Israel site’s infrastructure and network operations. This is not a siloed role—it's a highly collaborative position where you'll serve as the key technical owner for network and site infrastructure, working closely with:
Our central networking team in London
IT support engineers in the US, UK and Japan
Global cloud infrastructure teams
As the first infrastructure-focused hire in Israel, you’ll help establish the foundation of Wayve’s local IT and infrastructure presence. While the role is primarily centred on infrastructure and networking, it will also involve light hands-on IT support for the Herzliya office as the local team grows.
You’ll thrive here if you enjoy solving complex infrastructure challenges, and helping scale systems to support AI development and autonomous vehicle testing around the world.
Design, deploy, and maintain wired and wireless networks, VPNs, VLANs, and firewall policies at the Israel site.
Serve as local owner of networking and infrastructure—resolving outages, optimizing performance, and supporting new deployments.
Provide local operational support for the Israel site, helping extend global infrastructure standards and acting as the first point of contact for site-level infrastructure needs.
Work hand-in-hand with London-based network engineers to uphold configuration consistency, observability, and security.
Act as the first line of engineering-level support for infra and networking queries raised by on-site and remote teams.
Collaborate with cloud infrastructure teams to ensure seamless hybrid connectivity between on-prem and cloud environments.
Build trusted relationships with local teams by being approachable, communicative, and focused on resolving issues quickly and effectively.
Engage with technical and non-technical teams alike, ensuring clear communication and empathy in every interaction.
Act as a bridge between local site needs and global infrastructure goals, contributing to a consistent, scalable technical footprint.
Support automation of network configurations and site setup using Infrastructure-as-Code tools like Terraform and Ansible.
Contribute to documentation, scripts, and internal tooling to make infra operations repeatable and reliable.
Implement and maintain secure access controls, certificate management, and encryption practices aligned with Wayve’s InfoSec guidelines.
Ensure local networking and infrastructure follow global security and compliance standards.
Contribute to the global expansion of Wayve’s infrastructure footprint, providing input on new sites, vendor engagement, and site readiness.
Support high-bandwidth environments for data offload and development workflows used by AI and autonomy teams.
5+ years of experience in infrastructure, networking, or DevOps roles.
Strong command of networking protocols (TCP/IP, DHCP, DNS), routing/switching, and enterprise networking platforms (e.g., Juniper, Cisco, MikroTik).
Hands-on Linux systems administration experience.
Scripting ability in Bash and/or Python for automation and tooling.
Experience operating in hybrid on-prem and cloud environments; Azure experience is a plus.
Familiarity with IT security best practices, including VPNs, endpoint controls, and certificate management.
Proven experience with Infrastructure-as-Code (e.g., Terraform, Ansible).
Enjoys puzzle-solving and building efficient, scalable systems.
Takes initiative and operates independently in a high-trust, low-oversight environment.
Able to manage and prioritize tasks across stakeholders and sites.
Comfortable working across time zones and cultures, especially global collaboration.
Clear communicator who can document and explain technical concepts to engineers and non-engineers alike.
Exposure to fleet-based operations, data offloading infrastructure, or AI development environments.
Certifications like Juniper JNCIA or equivalent are a plus.
This is a full-time role based in our office in Herzliya. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs Wayve grows across continents, we're seeking a Senior Network & Infrastructure Engineer to take ownership of our Israel site’s infrastructure and network operations. This is not a siloed role—it's a highly collaborative position where you'll serve as the key technical owner for network and site infrastructure, working closely with:\n\n - Our central networking team in London\n\n - IT support engineers in the US, UK and Japan\n\n - Global cloud infrastructure teams\n\nAs the first infrastructure-focused hire in Israel, you’ll help establish the foundation of Wayve’s local IT and infrastructure presence. While the role is primarily centred on infrastructure and networking, it will also involve light hands-on IT support for the Herzliya office as the local team grows.\n\nYou’ll thrive here if you enjoy solving complex infrastructure challenges, and helping scale systems to support AI development and autonomous vehicle testing around the world.\n\n\nNETWORK OPERATIONS & SITE INFRASTRUCTURE\n\n - Design, deploy, and maintain wired and wireless networks, VPNs, VLANs, and firewall policies at the Israel site.\n\n - Serve as local owner of networking and infrastructure—resolving outages, optimizing performance, and supporting new deployments.\n\n - Provide local operational support for the Israel site, helping extend global infrastructure standards and acting as the first point of contact for site-level infrastructure needs.\n\n - Work hand-in-hand with London-based network engineers to uphold configuration consistency, observability, and security.\n\n\nCROSS-TEAM COLLABORATION\n\n - Act as the first line of engineering-level support for infra and networking queries raised by on-site and remote teams.\n\n - Collaborate with cloud infrastructure teams to ensure seamless hybrid connectivity between on-prem and cloud environments.\n\n - Build trusted relationships with local teams by being approachable, communicative, and focused on resolving issues quickly and effectively.\n\n - Engage with technical and non-technical teams alike, ensuring clear communication and empathy in every interaction.\n\n - Act as a bridge between local site needs and global infrastructure goals, contributing to a consistent, scalable technical footprint.\n\n\nAUTOMATION & TOOLING\n\n - Support automation of network configurations and site setup using Infrastructure-as-Code tools like Terraform and Ansible.\n\n - Contribute to documentation, scripts, and internal tooling to make infra operations repeatable and reliable.\n\n\nSECURITY & STANDARDS\n\n - Implement and maintain secure access controls, certificate management, and encryption practices aligned with Wayve’s InfoSec guidelines.\n\n - Ensure local networking and infrastructure follow global security and compliance standards.\n\n\nSCALABILITY & GROWTH\n\n - Contribute to the global expansion of Wayve’s infrastructure footprint, providing input on new sites, vendor engagement, and site readiness.\n\n - Support high-bandwidth environments for data offload and development workflows used by AI and autonomy teams.\n\n\nCORE SKILLS & EXPERIENCE\n\n - 5+ years of experience in infrastructure, networking, or DevOps roles.\n\n - Strong command of networking protocols (TCP/IP, DHCP, DNS), routing/switching, and enterprise networking platforms (e.g., Juniper, Cisco, MikroTik).\n\n - Hands-on Linux systems administration experience.\n\n - Scripting ability in Bash and/or Python for automation and tooling.\n\n - Experience operating in hybrid on-prem and cloud environments; Azure experience is a plus.\n\n - Familiarity with IT security best practices, including VPNs, endpoint controls, and certificate management.\n\n - Proven experience with Infrastructure-as-Code (e.g., Terraform, Ansible).\n\n\nPROBLEM SOLVING & OWNERSHIP\n\n - Enjoys puzzle-solving and building efficient, scalable systems.\n\n - Takes initiative and operates independently in a high-trust, low-oversight environment.\n\n - Able to manage and prioritize tasks across stakeholders and sites.\n\n\nTEAMWORK & COMMUNICATION\n\n - Comfortable working across time zones and cultures, especially global collaboration.\n\n - Clear communicator who can document and explain technical concepts to engineers and non-engineers alike.\n\n\nNICE TO HAVE\n\n - Exposure to fleet-based operations, data offloading infrastructure, or AI development environments.\n\n - Certifications like Juniper JNCIA or equivalent are a plus.\n\nThis is a full-time role based in our office in Herzliya. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"18b964e9-7fe6-4a57-8782-22bee7204a50","title":"People Partner - Engineering ","department":"People & Talent","team":"People & Talent","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-25T19:57:07.664+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/18b964e9-7fe6-4a57-8782-22bee7204a50","applyUrl":"https://jobs.ashbyhq.com/wayve/18b964e9-7fe6-4a57-8782-22bee7204a50/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a People Partner supporting Engineering, you’ll play a key role in delivering a high-quality employee experience in a fast-paced, technical environment. Partnering closely with the Senior People Partner for Engineering, you’ll support defined projects across areas like performance, engagement, L&D, and day-to-day advisory work, acting as a trusted first point of contact for employees and managers. You’ll take ownership of routine processes, contribute to developing People resources, and support Employee Relations cases by preparing documentation, drafting communications, and guiding policy-aligned decisions. You’ll also collaborate on broader People team and company-wide initiatives, helping to drive consistency, inclusion, and continuous improvement across the organisation. This role is ideal for someone with solid generalist People experience in a dynamic, scale-up setting, confident working with technically-minded stakeholders and ready to deepen their impact.
Key responsibilities:
Employee Relations: Independently manage ER cases, including documentation, note-taking during meetings, and following up on action points, escalating as needed. Support investigations, grievance handling, and performance management processes. Maintain the employee relations tracker to report on insights and areas of concern to inform recommendations for improvements. Maintain employee records with up to date case information.
Local Coaching and Advisory: Provide first-level support in advising Managers and Employees, escalating when required.
First Point of Contact: Serve as the first point of contact for employees and managers seeking support on People-related queries such as policies, benefits, and system navigation. Triage queries and escalate more complex issues to the relevant People Partner or people operations.
Project Support: Collaborate with People Partners on People initiatives and project work, such as employee engagement, retention strategies, and performance management.
Data and Reporting: Assist in data collection, analysis, and generating reports from People systems for analysis, compliance audits, or management requests.
People Documentation: Support in drafting and updating manager and employee resources for handbooks and intranet platforms.
Policy development: Ensure People policies and procedures are up-to-date, legally compliant, and easy to access for employees and managers.
Offboarding: Support offboarding processes, including exit interviews and follow-up on necessary documentation.
Engagement: Preparing engagement reports and insights, surfacing relevant themes and partnering with the Senior People Partner and business leaders on actions.
Talent Team support: Liaise with Talent Acquisition and build relationships with local stakeholders to support hiring efforts where needed.
In order to set you up for success as a People Partner at Wayve, we’re looking for the following skills and experience.
Essential
Demonstrated experience in a People Partnering or Advisory role within a fast-paced, scaling organisation, with a strong foundation across core People practices and the employee lifecycle.
Experience partnering with Engineering or similarly technical teams, with the ability to adapt People practices and communication to suit technically minded stakeholders.
Strong employee relations capability and working knowledge of UK employment law, including independently managing performance, grievance, investigation and absence cases from start to finish.
Demonstrated ability to coach and influence managers, challenge constructively, clarify ownership and support effective decision-making in complex or sensitive situations.
Experience delivering initiatives across several areas, such as engagement, performance management, organisational change, learning and development, reward, wellbeing or policy development.
Strong independent judgement and problem-solving skills, with the ability to navigate ambiguity, balance competing priorities and drive work through to completion.
Confidence using People data, employee feedback and HR systems to identify trends, surface risks and develop practical recommendations.
Strong written and verbal communication skills, with the ability to build credibility and tailor advice for employees, managers and senior stakeholders.
Desirable
Experience in a fast growth environment (preferably a start-up).
Experience supporting people across multiple geographies.
Proficiency in AI tooling to support workflows.
UK Employment law knowledge and best practice.
This is a full-time role based in our office in King’s Cross. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a People Partner supporting Engineering, you’ll play a key role in delivering a high-quality employee experience in a fast-paced, technical environment. Partnering closely with the Senior People Partner for Engineering, you’ll support defined projects across areas like performance, engagement, L&D, and day-to-day advisory work, acting as a trusted first point of contact for employees and managers. You’ll take ownership of routine processes, contribute to developing People resources, and support Employee Relations cases by preparing documentation, drafting communications, and guiding policy-aligned decisions. You’ll also collaborate on broader People team and company-wide initiatives, helping to drive consistency, inclusion, and continuous improvement across the organisation. This role is ideal for someone with solid generalist People experience in a dynamic, scale-up setting, confident working with technically-minded stakeholders and ready to deepen their impact. \n\nKey responsibilities:\n\n - Employee Relations: Independently manage ER cases, including documentation, note-taking during meetings, and following up on action points, escalating as needed. Support investigations, grievance handling, and performance management processes. Maintain the employee relations tracker to report on insights and areas of concern to inform recommendations for improvements. Maintain employee records with up to date case information.\n\n - Local Coaching and Advisory: Provide first-level support in advising Managers and Employees, escalating when required. \n\n - First Point of Contact: Serve as the first point of contact for employees and managers seeking support on People-related queries such as policies, benefits, and system navigation. Triage queries and escalate more complex issues to the relevant People Partner or people operations.\n\n - Project Support: Collaborate with People Partners on People initiatives and project work, such as employee engagement, retention strategies, and performance management.\n\n - Data and Reporting: Assist in data collection, analysis, and generating reports from People systems for analysis, compliance audits, or management requests.\n\n - People Documentation: Support in drafting and updating manager and employee resources for handbooks and intranet platforms.\n\n - Policy development: Ensure People policies and procedures are up-to-date, legally compliant, and easy to access for employees and managers.\n\n - Offboarding: Support offboarding processes, including exit interviews and follow-up on necessary documentation.\n\n - Engagement: Preparing engagement reports and insights, surfacing relevant themes and partnering with the Senior People Partner and business leaders on actions. \n\n - Talent Team support: Liaise with Talent Acquisition and build relationships with local stakeholders to support hiring efforts where needed. \n\n\nABOUT YOU \n\nIn order to set you up for success as a People Partner at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Demonstrated experience in a People Partnering or Advisory role within a fast-paced, scaling organisation, with a strong foundation across core People practices and the employee lifecycle.\n\n - Experience partnering with Engineering or similarly technical teams, with the ability to adapt People practices and communication to suit technically minded stakeholders.\n\n - Strong employee relations capability and working knowledge of UK employment law, including independently managing performance, grievance, investigation and absence cases from start to finish.\n\n - Demonstrated ability to coach and influence managers, challenge constructively, clarify ownership and support effective decision-making in complex or sensitive situations.\n\n - Experience delivering initiatives across several areas, such as engagement, performance management, organisational change, learning and development, reward, wellbeing or policy development.\n\n - Strong independent judgement and problem-solving skills, with the ability to navigate ambiguity, balance competing priorities and drive work through to completion.\n\n - Confidence using People data, employee feedback and HR systems to identify trends, surface risks and develop practical recommendations.\n\n - Strong written and verbal communication skills, with the ability to build credibility and tailor advice for employees, managers and senior stakeholders. \n\nDesirable \n\n - Experience in a fast growth environment (preferably a start-up).\n\n - Experience supporting people across multiple geographies. \n\n - Proficiency in AI tooling to support workflows.\n\n - UK Employment law knowledge and best practice. \n\nThis is a full-time role based in our office in King’s Cross. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"9b27b712-331a-41f6-a200-e85b1fecc38e","title":"Fleet Service and Maintenance Technician","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-25T20:50:48.525+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/9b27b712-331a-41f6-a200-e85b1fecc38e","applyUrl":"https://jobs.ashbyhq.com/wayve/9b27b712-331a-41f6-a200-e85b1fecc38e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Fleet Service and Maintenance Technician plays a critical role in maintaining the safety, performance, and operational readiness of Wayve’s autonomous vehicle fleet. From routine servicing and diagnostics to urgent repairs and vehicle readiness for high-visibility events, technicians ensure our fleet remains in peak condition to support testing, demonstrations, and real-world deployment.
Reporting to the Fleet Service Manager, this hands-on role requires strong mechanical knowledge, the ability to work with modern diagnostic systems, and a proactive, safety-conscious mindset. Working closely with engineering, drivers, and operations teams, you’ll help keep autonomy moving forward, every single day.
Routine & Preventative Maintenance – Execute scheduled servicing and inspections per manufacturer and internal guidelines.
Mechanical & Electrical Fault Resolution – Diagnose and repair a wide range of issues using OEM documentation and advanced diagnostic equipment.
Vehicle Readiness for Demonstrations – Ensure vehicles meet high standards of cleanliness, reliability, and functionality for public-facing use.
Workshop Safety & Compliance – Adhere to safety best practices, risk assessments, and regulations.
Repair Documentation & Tracking – Accurately record faults found, actions taken, and parts used using digital tools.
Feedback into Fleet Performance – Communicate recurring issues or improvement ideas to the Fleet Service Manager and Field Engineering teams.
Customer-Facing Communication – Engage with fleet drivers to resolve issues they report and ensure a positive operational experience.
In order to set you up for success as a Fleet Servicing and Maintenance Technician at Wayve, we’re looking for the following skills and experience.
Relevant qualifications in automotive servicing, diagnostics and repairs
Proven experience as a Vehicle Technician in an automotive servicing or fleet environment.
Strong diagnostics capability using OEM or third-party diagnostic equipment.
Familiarity with mechanical and bodywork repairs using OEM repair manuals.
Competent with computer systems for tracking and recording maintenance tasks (e.g., Word, Excel).
Comfortable interacting with engineers, operations staff, and drivers.
Strong understanding of workshop safety and compliance standards.
US driving license.
Experience working with vehicles equipped with ADAS or autonomous technology.
Understanding of AV fleet operational needs in a high-uptime environment.
Passion for emerging mobility technologies and willingness to learn new systems.
This role is a Shift Based full-time role based in Sunnyvale, CA and the reasonably estimated salary for this role ranges from $90,000 to $100,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe Fleet Service and Maintenance Technician plays a critical role in maintaining the safety, performance, and operational readiness of Wayve’s autonomous vehicle fleet. From routine servicing and diagnostics to urgent repairs and vehicle readiness for high-visibility events, technicians ensure our fleet remains in peak condition to support testing, demonstrations, and real-world deployment.\n\nReporting to the Fleet Service Manager, this hands-on role requires strong mechanical knowledge, the ability to work with modern diagnostic systems, and a proactive, safety-conscious mindset. Working closely with engineering, drivers, and operations teams, you’ll help keep autonomy moving forward, every single day.\n\n\nKEY RESPONSIBILITIES:\n\n - Routine & Preventative Maintenance – Execute scheduled servicing and inspections per manufacturer and internal guidelines.\n\n - Mechanical & Electrical Fault Resolution – Diagnose and repair a wide range of issues using OEM documentation and advanced diagnostic equipment.\n\n - Vehicle Readiness for Demonstrations – Ensure vehicles meet high standards of cleanliness, reliability, and functionality for public-facing use.\n\n - Workshop Safety & Compliance – Adhere to safety best practices, risk assessments, and regulations.\n\n - Repair Documentation & Tracking – Accurately record faults found, actions taken, and parts used using digital tools.\n\n - Feedback into Fleet Performance – Communicate recurring issues or improvement ideas to the Fleet Service Manager and Field Engineering teams.\n\n - Customer-Facing Communication – Engage with fleet drivers to resolve issues they report and ensure a positive operational experience.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Fleet Servicing and Maintenance Technician at Wayve, we’re looking for the following skills and experience. \n\n\nESSENTIAL \n\n - Relevant qualifications in automotive servicing, diagnostics and repairs\n\n - Proven experience as a Vehicle Technician in an automotive servicing or fleet environment.\n\n - Strong diagnostics capability using OEM or third-party diagnostic equipment.\n\n - Familiarity with mechanical and bodywork repairs using OEM repair manuals.\n\n - Competent with computer systems for tracking and recording maintenance tasks (e.g., Word, Excel).\n\n - Comfortable interacting with engineers, operations staff, and drivers.\n\n - Strong understanding of workshop safety and compliance standards.\n\n - US driving license.\n\n\nDESIRABLE:\n\n - Experience working with vehicles equipped with ADAS or autonomous technology.\n\n - Understanding of AV fleet operational needs in a high-uptime environment.\n\n - Passion for emerging mobility technologies and willingness to learn new systems.\n \n \n\nThis role is a Shift Based full-time role based in Sunnyvale, CA and the reasonably estimated salary for this role ranges from $90,000 to $100,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"4161fc82-d465-4dee-9f0c-bdd54a743a49","title":"Software Engineer, AI Libraries","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-26T08:12:57.711+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/4161fc82-d465-4dee-9f0c-bdd54a743a49","applyUrl":"https://jobs.ashbyhq.com/wayve/4161fc82-d465-4dee-9f0c-bdd54a743a49/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
We’re looking for a Software Engineer to join our AI Libraries team. This team builds and maintains the platforms, libraries, and tools that enable Wayve’s ML engineers and researchers to train, evaluate, and scale models efficiently.
This is a hands-on software engineering role focused on building stable, scalable, and modular systems that support large-scale ML development. You’ll work closely with ML teams across Wayve to understand their needs, design reusable abstractions, and improve the reliability, performance, and usability of our training infrastructure.
You’ll play a key role in maturing Wayve’s AI platform and helping bring autonomous driving technology into the hands of customers.
Key responsibilities
Design, build, and maintain scalable Python libraries and tools used by ML engineers and researchers across Wayve.
Develop robust abstractions for data loading, distributed training, inference, checkpointing, and model evaluation workflows.
Support training at scale across large GPU clusters and cloud-based infrastructure.
Work closely with ML teams to understand user needs and create tools that are reliable, well-documented, observable, and easy to adopt.
Improve engineering quality across ML systems through strong software architecture, testing, monitoring, and maintainability practices.
Optimise data and training pipelines to support multi-modal data sources, including camera, radar, lidar, and other sensor data.
Contribute to the evolution of Wayve’s AI platform as we scale our autonomous driving capabilities.
About you
We’re looking for a strong software engineer who enjoys building high-quality tools, platforms, and libraries for technical users. You care about clean abstractions, scalable architecture, reliability, and creating software that other engineers can depend on.
Essential skills
Strong Python programming experience.Proven experience designing, building, and maintaining software systems from concept through to delivery.
Strong software architecture and system design skills.Experience building tools, platforms, or libraries for internal or external users.Strong understanding of testing, observability, maintainability, and engineering best practices.
Experience working with cloud environments, ideally Azure.
Experience with concurrent, parallel, or distributed computing.
Familiarity with ML frameworks such as PyTorch, TensorFlow, or PyTorch Lightning.
Ability to work closely with technical stakeholders to refine requirements and deliver practical, scalable solutions.
Desirable skills
Experience working with large GPU clusters or distributed training environments.
Familiarity with distributed training techniques such as DDP or FSDP.
Experience with observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.
Experience with data pipeline orchestration tools such as Airflow, Flyte, Ray, Metaflow, or Argo Workflows.
Experience with containerisation and infrastructure tooling such as Docker, Kubernetes, or Terraform.Experience profiling or optimising ML systems, for example using NVIDIA Nsight.
Understanding of ML workflows and researcher experience, even if you are not focused on model development.
What we’re not looking for
This is not primarily an ML modelling role. While an understanding of ML workflows is valuable, the core focus is on building reliable software, libraries, infrastructure, and tooling that enable ML teams to work effectively at scale.
Why join us?
Work on high-impact systems that directly support the development of autonomous driving technology.
Help scale training and evaluation infrastructure across large GPU clusters.
Build software used by ML engineers and researchers working at the frontier of embodied AI.
Join a team focused on strong engineering standards, practical abstractions, and scalable platform design.
Play a meaningful role in bringing autonomous driving technology closer to real-world deployment.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nWe’re looking for a Software Engineer to join our AI Libraries team. This team builds and maintains the platforms, libraries, and tools that enable Wayve’s ML engineers and researchers to train, evaluate, and scale models efficiently.\n\nThis is a hands-on software engineering role focused on building stable, scalable, and modular systems that support large-scale ML development. You’ll work closely with ML teams across Wayve to understand their needs, design reusable abstractions, and improve the reliability, performance, and usability of our training infrastructure.\n\nYou’ll play a key role in maturing Wayve’s AI platform and helping bring autonomous driving technology into the hands of customers.\n\nKey responsibilities\n\n - Design, build, and maintain scalable Python libraries and tools used by ML engineers and researchers across Wayve.\n\n - Develop robust abstractions for data loading, distributed training, inference, checkpointing, and model evaluation workflows.\n\n - Support training at scale across large GPU clusters and cloud-based infrastructure.\n\n - Work closely with ML teams to understand user needs and create tools that are reliable, well-documented, observable, and easy to adopt.\n\n - Improve engineering quality across ML systems through strong software architecture, testing, monitoring, and maintainability practices.\n\n - Optimise data and training pipelines to support multi-modal data sources, including camera, radar, lidar, and other sensor data.\n\n - Contribute to the evolution of Wayve’s AI platform as we scale our autonomous driving capabilities.\n\nAbout you\n\nWe’re looking for a strong software engineer who enjoys building high-quality tools, platforms, and libraries for technical users. You care about clean abstractions, scalable architecture, reliability, and creating software that other engineers can depend on.\n\nEssential skills \n\n - Strong Python programming experience.Proven experience designing, building, and maintaining software systems from concept through to delivery.\n\n - Strong software architecture and system design skills.Experience building tools, platforms, or libraries for internal or external users.Strong understanding of testing, observability, maintainability, and engineering best practices.\n\n - Experience working with cloud environments, ideally Azure.\n\n - Experience with concurrent, parallel, or distributed computing.\n\n - Familiarity with ML frameworks such as PyTorch, TensorFlow, or PyTorch Lightning.\n\n - Ability to work closely with technical stakeholders to refine requirements and deliver practical, scalable solutions.\n\nDesirable skills \n\n - Experience working with large GPU clusters or distributed training environments.\n\n - Familiarity with distributed training techniques such as DDP or FSDP.\n\n - Experience with observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.\n\n - Experience with data pipeline orchestration tools such as Airflow, Flyte, Ray, Metaflow, or Argo Workflows.\n\n - Experience with containerisation and infrastructure tooling such as Docker, Kubernetes, or Terraform.Experience profiling or optimising ML systems, for example using NVIDIA Nsight.\n\n - Understanding of ML workflows and researcher experience, even if you are not focused on model development.\n\nWhat we’re not looking for\n\nThis is not primarily an ML modelling role. While an understanding of ML workflows is valuable, the core focus is on building reliable software, libraries, infrastructure, and tooling that enable ML teams to work effectively at scale.\n\nWhy join us?\n\n - Work on high-impact systems that directly support the development of autonomous driving technology.\n\n - Help scale training and evaluation infrastructure across large GPU clusters.\n\n - Build software used by ML engineers and researchers working at the frontier of embodied AI.\n\n - Join a team focused on strong engineering standards, practical abstractions, and scalable platform design.\n\n - Play a meaningful role in bringing autonomous driving technology closer to real-world deployment.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"4dd779f4-41b3-4afb-85c1-5098bd87a3a0","title":"Field Engineer","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-25T20:49:18.184+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/4dd779f4-41b3-4afb-85c1-5098bd87a3a0","applyUrl":"https://jobs.ashbyhq.com/wayve/4dd779f4-41b3-4afb-85c1-5098bd87a3a0/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Field Engineer is a hands-on technical contributor responsible for diagnosing and resolving vehicle software and hardware issues to keep the fleet operational. They will play a critical role in rapid fault triage, ensuring a 5-minute response time while strictly adhering to safety protocols. Working closely with fellow engineers and global teams, they will contribute to seamless operations through effective communication and problem solving. As part of a newly established function within Fleet Operations, the Field Engineer will help refine processes and drive efficiency in a fast-paced, high-impact environment.
Key responsibilities:
Perform on-site fault triage and resolution, diagnosing and repairing vehicle software and hardware issues quickly to maintain fleet uptime.
Follow structured fault diagnosis and repair protocols, ensuring all work is carried out efficiently and in alignment with operational workflows.
Collaborate with fellow field engineers and cross-functional teams to troubleshoot and resolve technical issues effectively.
Respond rapidly to issues, meeting the 5-minute issue response to keep vehicles operational and our teams feeling adequately supported.
Maintain clear communication with the Field Engineering Lead, providing updates on ongoing repairs and ensuring smooth handovers across geographical locations.
Participate in on-call rotations, assisting with technical support and issue resolution across multiple regions as part of a 24/7 global support network.
Adhere to strict safety and compliance protocols, ensuring all fault triage, diagnosis, and repairs follow the correct procedures and approvals.
Contribute to continuous improvement efforts, identifying operational challenges and providing feedback to optimize field engineering support and efficiency.
About you
In order to set you up for success as a Field Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Technical Expertise – Strong understanding of vehicle diagnostics, software and hardware fault triage, and repair processes. Experience in fleet operations, automotive systems, or ADAS technology is a plus.
Problem-Solving & Efficiency – Ability to troubleshoot and resolve technical issues quickly, meeting strict SLAs (5-minute response time) to keep vehicles operational.
Communication & Collaboration – Capable of working closely with global teams, providing clear technical updates, and ensuring smooth handovers across locations.
Safety & Compliance – Deep understanding of safety protocols, incident management, and adherence to operational procedures to ensure secure and effective repairs.
Adaptability & Flexibility – Comfortable working in a fast-paced, evolving environment, including participation in on-call rotations and weekend coverage as needed.
Technical Tools & Platforms – Familiarity with diagnostic tools, software monitoring platforms (e.g., Datadog, Mender), and ticketing systems like JIRA.
Desirable:
Knowledge of ADAS technology and on-road testing requirements is highly advantageous.
This is a full-time role based in our office in Sunnyvale.
10-15% travel required
This role will be shift-based.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
The reasonably estimated salary for this role ranges from $90,000 to $103,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe Field Engineer is a hands-on technical contributor responsible for diagnosing and resolving vehicle software and hardware issues to keep the fleet operational. They will play a critical role in rapid fault triage, ensuring a 5-minute response time while strictly adhering to safety protocols. Working closely with fellow engineers and global teams, they will contribute to seamless operations through effective communication and problem solving. As part of a newly established function within Fleet Operations, the Field Engineer will help refine processes and drive efficiency in a fast-paced, high-impact environment.\n\nKey responsibilities:\n\n - Perform on-site fault triage and resolution, diagnosing and repairing vehicle software and hardware issues quickly to maintain fleet uptime.\n\n - Follow structured fault diagnosis and repair protocols, ensuring all work is carried out efficiently and in alignment with operational workflows.\n\n - Collaborate with fellow field engineers and cross-functional teams to troubleshoot and resolve technical issues effectively.\n\n - Respond rapidly to issues, meeting the 5-minute issue response to keep vehicles operational and our teams feeling adequately supported.\n\n - Maintain clear communication with the Field Engineering Lead, providing updates on ongoing repairs and ensuring smooth handovers across geographical locations.\n\n - Participate in on-call rotations, assisting with technical support and issue resolution across multiple regions as part of a 24/7 global support network.\n\n - Adhere to strict safety and compliance protocols, ensuring all fault triage, diagnosis, and repairs follow the correct procedures and approvals.\n\n - Contribute to continuous improvement efforts, identifying operational challenges and providing feedback to optimize field engineering support and efficiency.\n\nAbout you \n\nIn order to set you up for success as a Field Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Technical Expertise – Strong understanding of vehicle diagnostics, software and hardware fault triage, and repair processes. Experience in fleet operations, automotive systems, or ADAS technology is a plus.\n\n - Problem-Solving & Efficiency – Ability to troubleshoot and resolve technical issues quickly, meeting strict SLAs (5-minute response time) to keep vehicles operational.\n\n - Communication & Collaboration – Capable of working closely with global teams, providing clear technical updates, and ensuring smooth handovers across locations.\n\n - Safety & Compliance – Deep understanding of safety protocols, incident management, and adherence to operational procedures to ensure secure and effective repairs.\n\n - Adaptability & Flexibility – Comfortable working in a fast-paced, evolving environment, including participation in on-call rotations and weekend coverage as needed.\n\n - Technical Tools & Platforms – Familiarity with diagnostic tools, software monitoring platforms (e.g., Datadog, Mender), and ticketing systems like JIRA.\n\nDesirable:\n\n - Knowledge of ADAS technology and on-road testing requirements is highly advantageous.\n\nThis is a full-time role based in our office in Sunnyvale. \n10-15% travel required\nThis role will be shift-based.\n\n\n\nWe understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.\n\nDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.\n\n\nThe reasonably estimated salary for this role ranges from $90,000 to $103,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"4289fd4a-d019-46e1-8b0a-09b5667baf62","title":"Applied Scientist/Machine Learning Engineer Gaia","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-26T11:38:52.753+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/4289fd4a-d019-46e1-8b0a-09b5667baf62","applyUrl":"https://jobs.ashbyhq.com/wayve/4289fd4a-d019-46e1-8b0a-09b5667baf62/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Generative simulation is the team that is advancing our end-to-end autonomous driving research. The team’s mission is to accelerate our journey to AV2.0 and ensure the future success of Wayve by incubating and investing in new ideas that have the potential to become game-changing technological advances for the company.
Where you’ll have impact:
This role would sit within Simulation focusing on unlocking disruptive innovation that solves self-driving. We believe the next leap in autonomy comes from a world model that is faithful enough, and fast enough, to train and evaluate driving models in closed loop — not only to replay logs.
As a Machine Learning Engineer in the Simulation team, you’ll play a key role in developing next-generation world models and planners that can simulate complex, diverse, and temporally consistent driving environments. These generative simulation models (like GAIA) will power faster training, broader testing, and scalable deployment—even in areas and scenarios we’ve never driven in before.
As we push toward the next generation of GAIA, efficiency and interactivity become a great focus area: models must run thousands of roll-outs per second, support closed-loop agent interaction and fit within practical compute budgets. This role will lead that leap.
You’ll work at the intersection of machine learning research, multi-modal modeling, and real-world deployment tackling questions like:
How can we deploy AVs in a new geography without collecting any real-world data?
Can synthetically generated environments fully replace physical testing and data collection?
Key responsibilities
You will be a senior technical contributor inside Simulation, the team that incubates breakthrough ideas for Wayve. Your mandate:
Invent next-generation, efficient generative world-models (diffusion, transformer or hybrid) that deliver real-time roll-outs and controllable scene editing.
Architect interactive world models where agents (or humans) can step the model, enabling reinforcement learning, planning and safety evaluation loops.
Optimise end-to-end performance – from latent compression to context pruning your aim is to reduce inference latency by orders of magnitude.
Define robust metrics for long-horizon coherence, physics fidelity and planner integration; run ablations and scaling studies to understand trade-offs.
Ship impact: integrate your models into closed-loop training and evaluation, and measure the sim-to-real gap against on-road driving-model results.
Mentor & influence: guide junior researchers, shape technical road-maps, publish at top venues and represent Wayve in the community
Challenge assumptions and drive innovation: propose bold ideas, conduct ablation studies, and question conventional approaches to training and evaluation.
About you
In order to set you up for success at Wayve, we’re looking for the following skills and experience.
4+ years of experience in ML research/engineering with a focus on generative video, world models.
Deep knowledge in diffusion & latent-video models; track record of improving sampling efficiency or model throughput
Experience working with high-dimensional temporal or spatial-temporal data (e.g., video, multi-sensor fusion).
Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools.
Strong publication record or contributions to open-source ML tooling.
Ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment.
Desirable
Experience in AVs, robotics, simulation, or other embodied AI domains.
Experience working with synthetic-to-real transfer.
Why Join Us
Work on transformative technology with real-world impact on mobility, safety, and AI.
Access massive driving datasets, cutting-edge infrastructure, and world-class research talent.
Be part of a high-trust, high-autonomy team that values creativity, experimentation, and deep thinking.
Publish, share, and shape the future of generative AI for autonomy.
This is a full-time role based in our office in London or Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
For Sunnyvale, the salary ranges are between USD 311.000- 512.000 depending on experience and performance.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nGenerative simulation is the team that is advancing our end-to-end autonomous driving research. The team’s mission is to accelerate our journey to AV2.0 and ensure the future success of Wayve by incubating and investing in new ideas that have the potential to become game-changing technological advances for the company.\n\nWhere you’ll have impact:\n\nThis role would sit within Simulation focusing on unlocking disruptive innovation that solves self-driving. We believe the next leap in autonomy comes from a world model that is faithful enough, and fast enough, to train and evaluate driving models in closed loop — not only to replay logs.\n\nAs a Machine Learning Engineer in the Simulation team, you’ll play a key role in developing next-generation world models and planners that can simulate complex, diverse, and temporally consistent driving environments. These generative simulation models (like GAIA) will power faster training, broader testing, and scalable deployment—even in areas and scenarios we’ve never driven in before.\n\nAs we push toward the next generation of GAIA, efficiency and interactivity become a great focus area: models must run thousands of roll-outs per second, support closed-loop agent interaction and fit within practical compute budgets. This role will lead that leap.\n\nYou’ll work at the intersection of machine learning research, multi-modal modeling, and real-world deployment tackling questions like:\n\n - How can we deploy AVs in a new geography without collecting any real-world data?\n\n - Can synthetically generated environments fully replace physical testing and data collection?\n\n \n\nKey responsibilities\n\nYou will be a senior technical contributor inside Simulation, the team that incubates breakthrough ideas for Wayve. Your mandate:\n\n - Invent next-generation, efficient generative world-models (diffusion, transformer or hybrid) that deliver real-time roll-outs and controllable scene editing.\n\n - Architect interactive world models where agents (or humans) can step the model, enabling reinforcement learning, planning and safety evaluation loops.\n\n - Optimise end-to-end performance – from latent compression to context pruning your aim is to reduce inference latency by orders of magnitude.\n\n - Define robust metrics for long-horizon coherence, physics fidelity and planner integration; run ablations and scaling studies to understand trade-offs.\n\n - Ship impact: integrate your models into closed-loop training and evaluation, and measure the sim-to-real gap against on-road driving-model results.\n\n - Mentor & influence: guide junior researchers, shape technical road-maps, publish at top venues and represent Wayve in the community\n\n - Challenge assumptions and drive innovation: propose bold ideas, conduct ablation studies, and question conventional approaches to training and evaluation.\n\n \n\nAbout you\n\nIn order to set you up for success at Wayve, we’re looking for the following skills and experience.\n\n - 4+ years of experience in ML research/engineering with a focus on generative video, world models.\n\n - Deep knowledge in diffusion & latent-video models; track record of improving sampling efficiency or model throughput\n\n - Experience working with high-dimensional temporal or spatial-temporal data (e.g., video, multi-sensor fusion).\n\n - Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools.\n\n - Strong publication record or contributions to open-source ML tooling.\n\n - Ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment.\n\n \n\nDesirable\n\n - Experience in AVs, robotics, simulation, or other embodied AI domains.\n\n - Experience working with synthetic-to-real transfer.\n\n \n\nWhy Join Us\n\n - Work on transformative technology with real-world impact on mobility, safety, and AI.\n\n - Access massive driving datasets, cutting-edge infrastructure, and world-class research talent.\n\n - Be part of a high-trust, high-autonomy team that values creativity, experimentation, and deep thinking.\n\n - Publish, share, and shape the future of generative AI for autonomy.\n\nThis is a full-time role based in our office in London or Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \nFor Sunnyvale, the salary ranges are between USD 311.000- 512.000 depending on experience and performance.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"85446093-07bf-4eec-8c39-ffe4c1f37721","title":"Machine Learning Engineer (Synthetic Data)","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-26T11:38:04.063+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/85446093-07bf-4eec-8c39-ffe4c1f37721","applyUrl":"https://jobs.ashbyhq.com/wayve/85446093-07bf-4eec-8c39-ffe4c1f37721/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Simulation is advancing end-to-end autonomous driving research. The team’s mission is to accelerate AV2.0 by incubating capabilities that become company-level advantages — generative world models and the synthetic data they produce are one of those.
The goal of this role is to build, scale, and optimise next-generation world model architectures (GAIA and successors) and bridge them into high-throughput generation and training infrastructure, so synthetic data can dramatically accelerate autonomy development.
You will post-train world models for new embodiments and behaviours (rig transfer, pose transfer, dashcam restaging), generate multimodal synthetic experience at scale, and land that data in the same training stack we use for real driving. You sit between ML research and engineering: collaborating with scientists on architecture and conditioning, and with platform engineers on generation jobs, training artefacts, and how synthetic data is mixed into training.
Your work will decide how fast we can train, evaluate, and deploy driving models on vehicles we have barely collected from.
Key responsibilities:
Post-train and iterate GAIA-class world models for synthetic-data capabilities: rig transfer (new camera/vehicle embodiments), pose transfer (rewritten ego trajectories), and related conditioning (geometry, calibration, actions).
Own the generation loop: config → large-scale GPU inference → training-ready artefacts, with clear lineage from the model and settings that produced them.
Land synthetic data in driving-model training (behaviour cloning, reward models, RL): binarisation, mix ratios, quality filters, and experiments that measure suite and on-road impact — including when synthetic should replace scarce real rig data.
Diagnose and fix geometry, calibration, and controllability failures (intrinsics/extrinsics, NVS warps, odometry/curvature, flickering, camera-layout artefacts) that determine whether generated video is training-grade.
Improve throughput and yield: inference optimisations (shortcut, distillation, KV cache, step count), valid-generation rate, and self-serve workflows so model developers can request synthetic sets without a specialist.
Expand coverage to new vehicle platforms and safety-critical scenarios (OEM bring-up; Emergency Lane Keeping / Automatic Emergency Braking).
Partner with world-model researchers, infra, and driving-model owners so generation, evaluation, and training stay one system.
About you
To set you up for success as a MLE at Wayve, we’re looking for the following skills and experience:
4+ years in applied ML / research engineering, with a track record of training and shipping neural nets, not only operating data platforms.
Strong Python and PyTorch (or equivalent); comfort with GPU training, debugging, and reading model code.
Hands-on experience with video, generative, or world models (diffusion / flow-matching / autoregressive video, novel-view synthesis, neural rendering, or similar).
Working knowledge of cameras and 3D geometry (multi-camera rigs, intrinsics/extrinsics, warps/reprojection) and why they break generation or downstream training.
Evidence of taking generated or simulated data into a trained downstream model and measuring impact (mix, ablations, failure analysis).
Ability to operate generation or training at real scale (multi-GPU jobs, workflow orchestration, large video artefacts) and to make that path reliable.
Collaborative, experimental working style with researchers and platform engineers; you will own a capability, not a ticket queue.
Desirable
World models, video diffusion/flow, or controllable generation (action, pose, camera, text).
Distillation, few-step sampling, KV caching, or other inference-speed work on large generative models.
AV / robotics / simulation; multi-sensor driving data (video, telemetry; LiDAR a plus).
Productionising research: Flyte/Ray/Spark-style jobs, dataset lineage, training mix configuration.
Reward models, offline RL, or closed-loop evaluation of driving policies.
Cloud GPU fleets (Azure/AWS/GCP) and distributed training.
Why Join Us
Shape autonomy through generative simulation. Your models and data will decide whether we can train a new vehicle before the fleet exists.
Work at the frontier of world models. GAIA-scale video generation, camera transfer, pose control, and the training stack that consumes it — with the compute and fleet data to match.
Close the loop to the road. This is not synthetic data for slides. Generated experience already feeds models we take on the road; you will extend that to the next platforms and features.
High-trust, high-autonomy team. You will work with the people who built rig transfer and the generation stack — and be expected to own the next capability.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nSimulation is advancing end-to-end autonomous driving research. The team’s mission is to accelerate AV2.0 by incubating capabilities that become company-level advantages — generative world models and the synthetic data they produce are one of those.\n\nThe goal of this role is to build, scale, and optimise next-generation world model architectures (GAIA and successors) and bridge them into high-throughput generation and training infrastructure, so synthetic data can dramatically accelerate autonomy development.\n\nYou will post-train world models for new embodiments and behaviours (rig transfer, pose transfer, dashcam restaging), generate multimodal synthetic experience at scale, and land that data in the same training stack we use for real driving. You sit between ML research and engineering: collaborating with scientists on architecture and conditioning, and with platform engineers on generation jobs, training artefacts, and how synthetic data is mixed into training.\n\nYour work will decide how fast we can train, evaluate, and deploy driving models on vehicles we have barely collected from.\n\n \n\nKey responsibilities:\n\n - Post-train and iterate GAIA-class world models for synthetic-data capabilities: rig transfer (new camera/vehicle embodiments), pose transfer (rewritten ego trajectories), and related conditioning (geometry, calibration, actions).\n\n - Own the generation loop: config → large-scale GPU inference → training-ready artefacts, with clear lineage from the model and settings that produced them.\n\n - Land synthetic data in driving-model training (behaviour cloning, reward models, RL): binarisation, mix ratios, quality filters, and experiments that measure suite and on-road impact — including when synthetic should replace scarce real rig data.\n\n - Diagnose and fix geometry, calibration, and controllability failures (intrinsics/extrinsics, NVS warps, odometry/curvature, flickering, camera-layout artefacts) that determine whether generated video is training-grade.\n\n - Improve throughput and yield: inference optimisations (shortcut, distillation, KV cache, step count), valid-generation rate, and self-serve workflows so model developers can request synthetic sets without a specialist.\n\n - Expand coverage to new vehicle platforms and safety-critical scenarios (OEM bring-up; Emergency Lane Keeping / Automatic Emergency Braking).\n\n - Partner with world-model researchers, infra, and driving-model owners so generation, evaluation, and training stay one system.\n\n \n\nAbout you\n\nTo set you up for success as a MLE at Wayve, we’re looking for the following skills and experience:\n\n - 4+ years in applied ML / research engineering, with a track record of training and shipping neural nets, not only operating data platforms.\n\n - Strong Python and PyTorch (or equivalent); comfort with GPU training, debugging, and reading model code.\n\n - Hands-on experience with video, generative, or world models (diffusion / flow-matching / autoregressive video, novel-view synthesis, neural rendering, or similar).\n\n - Working knowledge of cameras and 3D geometry (multi-camera rigs, intrinsics/extrinsics, warps/reprojection) and why they break generation or downstream training.\n\n - Evidence of taking generated or simulated data into a trained downstream model and measuring impact (mix, ablations, failure analysis).\n\n - Ability to operate generation or training at real scale (multi-GPU jobs, workflow orchestration, large video artefacts) and to make that path reliable.\n\n - Collaborative, experimental working style with researchers and platform engineers; you will own a capability, not a ticket queue.\n\n \n\nDesirable\n\n - World models, video diffusion/flow, or controllable generation (action, pose, camera, text).\n\n - Distillation, few-step sampling, KV caching, or other inference-speed work on large generative models.\n\n - AV / robotics / simulation; multi-sensor driving data (video, telemetry; LiDAR a plus).\n\n - Productionising research: Flyte/Ray/Spark-style jobs, dataset lineage, training mix configuration.\n\n - Reward models, offline RL, or closed-loop evaluation of driving policies.\n\n - Cloud GPU fleets (Azure/AWS/GCP) and distributed training.\n\nWhy Join Us\n\n - Shape autonomy through generative simulation. Your models and data will decide whether we can train a new vehicle before the fleet exists.\n\n - Work at the frontier of world models. GAIA-scale video generation, camera transfer, pose control, and the training stack that consumes it — with the compute and fleet data to match.\n\n - Close the loop to the road. This is not synthetic data for slides. Generated experience already feeds models we take on the road; you will extend that to the next platforms and features.\n\n - High-trust, high-autonomy team. You will work with the people who built rig transfer and the generation stack — and be expected to own the next capability.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"ceaaf232-84c8-4e10-ae4f-6b8f647b7782","title":"Senior Machine Learning Engineer - AV Core","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-15T10:24:58.019+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/ceaaf232-84c8-4e10-ae4f-6b8f647b7782","applyUrl":"https://jobs.ashbyhq.com/wayve/ceaaf232-84c8-4e10-ae4f-6b8f647b7782/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
As a Senior Machine Learning Engineer in Wayve's AV Core organisation, you will lead on methods for large-scale data curation and mining, including rare events from a heterogeneous \nfleet, enabling model introspection for robust driverless operation. You will bring insight into how our algorithms perform in the real world, seek failure modes, and drive ways to efficiently \nimprove and evaluate them.\n\nThe Core Model Safety team builds foundational capabilities for assisted and automated driving - collision avoidance, model understanding, and robustness under failure. \nYou will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied \nengineering.Key responsibilities
Lead on large-scale data enrichment within the Core Model Safety team, including collaborations with Pre/Midtraining, reward modelling, self-supervised labelling, and the Data Enrichment Platform.
Build workflows for large-scale enrichment, data curation, and hard/rare event mining in support of robust model performance and introspection.
Design and train out-of-distribution detection mechanisms to enable robust driverless operation.
Work at the intersection of model engineering, infrastructure, compute, and data, shaping the boundaries and architecture across those teams.
Use your judgement and expertise to improve the overall efficiency of the machine learning and operations stack.
About you
In order to set you up for success as a Senior Machine Learning Engineer at Wayve, we're looking for the following skills and experience.
Essential
Hands-on experience with ML systems deployed in the real world.
Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable machine learning training and evaluation systems.
A strong track record with ML operations and infrastructure, including experience with distributed computing environments and large-scale inference.
Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries, and bring others along through clear written and verbal communication.
Desirable
Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.
Experience mining, generating, or evaluating rare events using simulation and fleet or heterogeneous real-world data.
Experience setting up cloud-based monitoring solutions for large-scale operations, including dashboards, logging, and real-time alerts.
Experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.
Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nAs a Senior Machine Learning Engineer in Wayve's AV Core organisation, you will lead on methods for large-scale data curation and mining, including rare events from a heterogeneous \nfleet, enabling model introspection for robust driverless operation. You will bring insight into how our algorithms perform in the real world, seek failure modes, and drive ways to efficiently \nimprove and evaluate them.\n\nThe Core Model Safety team builds foundational capabilities for assisted and automated driving - collision avoidance, model understanding, and robustness under failure. \nYou will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied \nengineering.\n\n \n\nKey responsibilities\n\n - Lead on large-scale data enrichment within the Core Model Safety team, including collaborations with Pre/Midtraining, reward modelling, self-supervised labelling, and the Data Enrichment Platform. \n\n - Build workflows for large-scale enrichment, data curation, and hard/rare event mining in support of robust model performance and introspection.\n\n - Design and train out-of-distribution detection mechanisms to enable robust driverless operation.\n\n - Work at the intersection of model engineering, infrastructure, compute, and data, shaping the boundaries and architecture across those teams.\n\n - Use your judgement and expertise to improve the overall efficiency of the machine learning and operations stack.\n\n \n\nAbout you\n\nIn order to set you up for success as a Senior Machine Learning Engineer at Wayve, we're looking for the following skills and experience.\n\nEssential\n\n - Hands-on experience with ML systems deployed in the real world.\n\n - Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable machine learning training and evaluation systems.\n\n - A strong track record with ML operations and infrastructure, including experience with distributed computing environments and large-scale inference.\n\n - Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries, and bring others along through clear written and verbal communication.\n\nDesirable\n\n - Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.\n\n - Experience mining, generating, or evaluating rare events using simulation and fleet or heterogeneous real-world data.\n\n - Experience setting up cloud-based monitoring solutions for large-scale operations, including dashboards, logging, and real-time alerts.\n\n - Experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.\n\n - Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"47a46245-8a13-4f94-aec3-f708c0178a65","title":"Staff Machine Learning Engineer - Ops","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-26T13:02:44.905+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/47a46245-8a13-4f94-aec3-f708c0178a65","applyUrl":"https://jobs.ashbyhq.com/wayve/47a46245-8a13-4f94-aec3-f708c0178a65/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Today at Wayve, our model development cycle is composed of multiple complex training phases, each building on the last. As a Staff Machine Learning Engineer (Ops/Release), you are expected to have a deep understanding of each of the training phases, understanding how our models are created from start to finish. You will ultimately be responsible for setting and enforcing the standard of each of the release gates along this journey, ensuring that each training phase is sufficiently validated before the next phase begins.
You'll drive technical excellence across our ML delivery pipelines. You'll review release content to ensure it meets our standards, identify bottlenecks in the process, and partner with platform teams to make sure tooling meets our delivery needs. You'll work with CI/CD teams to adapt workflows and streamline model delivery, and with evaluation teams to keep our methods reliable — spotting gaps and driving new methodology for evaluating our models.
This is a high-trust, high-visibility role: our release process directly protects our model baseline, and a mistake here has real consequences for how the product performs on-road and how it's perceived externally.
Key responsibilities:
Collaborate with ML engineers, data engineers and product teams to deliver features end to end.
Review release content — model and metric changes, evaluation results — to confirm everything meets Wayve's quality and safety standards before it ships.
Identify bottlenecks in the ML delivery pipeline and drive fixes that improve speed without compromising quality.
Collaborate with AI Platform teams to ensure tooling meets our delivery needs, defining and building the checks and automation that catch issues earlier.
Collaborate with CI/CD teams to adapt workflows and streamline model delivery.
Collaborate with evaluation teams to ensure evaluation methods are reliable, identify gaps, and drive new methodology for evaluating our models.
Stay up to date with the latest in MLOps practices and tools and bring improvements into the workflow.
In order to set you up for success as a Staff Machine Learning - Ops at Wayve, we’re looking for the following skills and experience.
Essential
Full system thinker with experience of introducing operational processes to build engineering excellence.
Strong ML Ops, model registry and ML lifecycle experience
A deep technical depth in ML training
A strong understanding of ML code infrastructure and best practices – experience with pytorch, tensor RT, quantisation and model deployment
Strong CI/CD and Github Actions experience
Strong communications skills with a collaborative mindset
Desirable
Experience with Pytorch, TensorRT, quantisation and model deployment
Experience with Grafana monitoring and production observability
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nToday at Wayve, our model development cycle is composed of multiple complex training phases, each building on the last. As a Staff Machine Learning Engineer (Ops/Release), you are expected to have a deep understanding of each of the training phases, understanding how our models are created from start to finish. You will ultimately be responsible for setting and enforcing the standard of each of the release gates along this journey, ensuring that each training phase is sufficiently validated before the next phase begins.\n\nYou'll drive technical excellence across our ML delivery pipelines. You'll review release content to ensure it meets our standards, identify bottlenecks in the process, and partner with platform teams to make sure tooling meets our delivery needs. You'll work with CI/CD teams to adapt workflows and streamline model delivery, and with evaluation teams to keep our methods reliable — spotting gaps and driving new methodology for evaluating our models.\n\nThis is a high-trust, high-visibility role: our release process directly protects our model baseline, and a mistake here has real consequences for how the product performs on-road and how it's perceived externally.\n\n \n\nKey responsibilities:\n\n - Collaborate with ML engineers, data engineers and product teams to deliver features end to end.\n\n - Review release content — model and metric changes, evaluation results — to confirm everything meets Wayve's quality and safety standards before it ships.\n\n - Identify bottlenecks in the ML delivery pipeline and drive fixes that improve speed without compromising quality.\n\n - Collaborate with AI Platform teams to ensure tooling meets our delivery needs, defining and building the checks and automation that catch issues earlier.\n\n - Collaborate with CI/CD teams to adapt workflows and streamline model delivery.\n\n - Collaborate with evaluation teams to ensure evaluation methods are reliable, identify gaps, and drive new methodology for evaluating our models.\n\n - Stay up to date with the latest in MLOps practices and tools and bring improvements into the workflow.\n\n \n\n\nABOUT YOU \n\nIn order to set you up for success as a Staff Machine Learning - Ops at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Full system thinker with experience of introducing operational processes to build engineering excellence.\n\n - Strong ML Ops, model registry and ML lifecycle experience\n\n - A deep technical depth in ML training\n\n - A strong understanding of ML code infrastructure and best practices – experience with pytorch, tensor RT, quantisation and model deployment\n\n - Strong CI/CD and Github Actions experience\n\n - Strong communications skills with a collaborative mindset\n\n \n\nDesirable \n\n - Experience with Pytorch, TensorRT, quantisation and model deployment\n\n - Experience with Grafana monitoring and production observability\n\n \n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"6148dcf2-41fb-4cc5-bf6d-248f1f89cfd4","title":"Fleet Service and Maintenance Technician","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-27T18:00:32.349+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/6148dcf2-41fb-4cc5-bf6d-248f1f89cfd4","applyUrl":"https://jobs.ashbyhq.com/wayve/6148dcf2-41fb-4cc5-bf6d-248f1f89cfd4/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Fleet Service and Maintenance Technician plays a critical role in maintaining the safety, performance, and operational readiness of Wayve’s autonomous vehicle fleet. From routine servicing and diagnostics to urgent repairs and vehicle readiness for high-visibility events, technicians ensure our fleet remains in peak condition to support testing, demonstrations, and real-world deployment.
Reporting to the Fleet Service Manager, this hands-on role requires strong mechanical knowledge, the ability to work with modern diagnostic systems, and a proactive, safety-conscious mindset. Working closely with engineering, drivers, and operations teams, you’ll help keep autonomy moving forward, every single day.
Routine & Preventative Maintenance – Execute scheduled servicing and inspections per manufacturer and internal guidelines.
Mechanical & Electrical Fault Resolution – Diagnose and repair a wide range of issues using OEM documentation and advanced diagnostic equipment.
Vehicle Readiness for Demonstrations – Ensure vehicles meet high standards of cleanliness, reliability, and functionality for public-facing use.
Workshop Safety & Compliance – Adhere to safety best practices, risk assessments, and regulations.
Repair Documentation & Tracking – Accurately record faults found, actions taken, and parts used using digital tools.
Feedback into Fleet Performance – Communicate recurring issues or improvement ideas to the Fleet Service Manager and Field Engineering teams.
Customer-Facing Communication – Engage with fleet drivers to resolve issues they report and ensure a positive operational experience.
In order to set you up for success as a Fleet Servicing and Maintenance Technician at Wayve, we’re looking for the following skills and experience.
Relevant qualifications in automotive servicing, diagnostics and repairs
Proven experience as a Vehicle Technician in an automotive servicing or fleet environment.
Strong diagnostics capability using OEM or third-party diagnostic equipment.
Familiarity with mechanical and bodywork repairs using OEM repair manuals.
Competent with computer systems for tracking and recording maintenance tasks (e.g., Word, Excel).
Comfortable interacting with engineers, operations staff, and drivers.
Strong understanding of workshop safety and compliance standards.
UK driving license.
Experience working with vehicles equipped with ADAS or autonomous technology.
Understanding of AV fleet operational needs in a high-uptime environment.
Passion for emerging mobility technologies and willingness to learn new systems.
Shift Pattern - Rotation issued 4 weeks in advance.
Monday to Sunday - 40 hours per week/weekend (must be able to work weekends)
06:00-15:00
13:00-22:00
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe Fleet Service and Maintenance Technician plays a critical role in maintaining the safety, performance, and operational readiness of Wayve’s autonomous vehicle fleet. From routine servicing and diagnostics to urgent repairs and vehicle readiness for high-visibility events, technicians ensure our fleet remains in peak condition to support testing, demonstrations, and real-world deployment.\n\nReporting to the Fleet Service Manager, this hands-on role requires strong mechanical knowledge, the ability to work with modern diagnostic systems, and a proactive, safety-conscious mindset. Working closely with engineering, drivers, and operations teams, you’ll help keep autonomy moving forward, every single day.\n\n\nKEY RESPONSIBILITIES:\n\n - Routine & Preventative Maintenance – Execute scheduled servicing and inspections per manufacturer and internal guidelines.\n\n - Mechanical & Electrical Fault Resolution – Diagnose and repair a wide range of issues using OEM documentation and advanced diagnostic equipment.\n\n - Vehicle Readiness for Demonstrations – Ensure vehicles meet high standards of cleanliness, reliability, and functionality for public-facing use.\n\n - Workshop Safety & Compliance – Adhere to safety best practices, risk assessments, and regulations.\n\n - Repair Documentation & Tracking – Accurately record faults found, actions taken, and parts used using digital tools.\n\n - Feedback into Fleet Performance – Communicate recurring issues or improvement ideas to the Fleet Service Manager and Field Engineering teams.\n\n - Customer-Facing Communication – Engage with fleet drivers to resolve issues they report and ensure a positive operational experience.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Fleet Servicing and Maintenance Technician at Wayve, we’re looking for the following skills and experience. \n\n\nESSENTIAL \n\n - Relevant qualifications in automotive servicing, diagnostics and repairs\n\n - Proven experience as a Vehicle Technician in an automotive servicing or fleet environment.\n\n - Strong diagnostics capability using OEM or third-party diagnostic equipment.\n\n - Familiarity with mechanical and bodywork repairs using OEM repair manuals.\n\n - Competent with computer systems for tracking and recording maintenance tasks (e.g., Word, Excel).\n\n - Comfortable interacting with engineers, operations staff, and drivers.\n\n - Strong understanding of workshop safety and compliance standards.\n\n - UK driving license.\n\n\nDESIRABLE:\n\n - Experience working with vehicles equipped with ADAS or autonomous technology.\n\n - Understanding of AV fleet operational needs in a high-uptime environment.\n\n - Passion for emerging mobility technologies and willingness to learn new systems.\n \n \n\nShift Pattern - Rotation issued 4 weeks in advance.\n\nMonday to Sunday - 40 hours per week/weekend (must be able to work weekends)\n\n - 06:00-15:00\n \n\n - 13:00-22:00\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"e85da4b7-3d61-432f-acd5-27af12af092e","title":"Staff / Senior Machine Learning Engineer, AV Core","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-05-22T19:02:03.913+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/e85da4b7-3d61-432f-acd5-27af12af092e","applyUrl":"https://jobs.ashbyhq.com/wayve/e85da4b7-3d61-432f-acd5-27af12af092e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Senior/Staff Machine Learning Engineer in Wayve's AV Core organization, you will lead the technical direction and delivery of learned emergency manoeuvre prediction and collision detection models. Emergency manoeuvres are rare, high-consequence events that place unusual demands on data, modelling, and validation. You will take the programme from problem definition through modelling, evaluation, integration, and evidence for deployment.
The Core Model Safety team builds foundational capabilities for assisted and automated driving - collision avoidance, model understanding, and robustness under failure. You will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied engineering.
Key responsibilities
Drive Core Model Safety roadmap themes owning the full lifecycle from research to offline/online experiments to technology transfer.
Train and deploy end-to-end AV 2.0 models for emergency manoeuvre prediction and collision detection on our global fleet, using large-scale, diverse data to validate capabilities and improve generalisation across vehicles, markets, and driving conditions.
Collaborate on online occupancy models for geometric and semantic perception.
Build high-value open-loop and closed-loop evaluations for core capabilities and representation learning.
Align priorities and learn from the organisation - with AV Core, Evaluation, and Product Engineering on roadmaps and failure modes; from fleet, simulation, and product feedback; and through mentoring others on the team.
Maintain awareness of the wider business context - division and company priorities, near-term product programmes, and how Core Model Safety work enables them.
In order to set you up for success as a Staff / Senior Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.
Essential
A strong track record of ML engineering, including pathfinding in ambiguous problems - from scoping and evals to establishing a direction (and knowledge transfer) for others to build on.
Hands-on experience with ML systems deployed in the real world.
Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable machine learning training and evaluation systems.
Excellent experimental judgement: able to turn an ambiguous behavioral problem into falsifiable hypotheses, useful metrics, disciplined ablations, and clear technical decisions.
Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries, and bring others along through clear written and verbal communication.
Desirable
Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.
Experience in 3D scene understanding and representation learning for geometric and semantic perception, large-scale semantic enrichments.
Experience mining, generating, or evaluating rare events using simulation and fleet or heterogeneous real-world data.
Experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.
Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems.
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $311,850 to $389,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a Senior/Staff Machine Learning Engineer in Wayve's AV Core organization, you will lead the technical direction and delivery of learned emergency manoeuvre prediction and collision detection models. Emergency manoeuvres are rare, high-consequence events that place unusual demands on data, modelling, and validation. You will take the programme from problem definition through modelling, evaluation, integration, and evidence for deployment.\n\nThe Core Model Safety team builds foundational capabilities for assisted and automated driving - collision avoidance, model understanding, and robustness under failure. You will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied engineering.\n\n \n\nKey responsibilities\n\n - Drive Core Model Safety roadmap themes owning the full lifecycle from research to offline/online experiments to technology transfer.\n\n - Train and deploy end-to-end AV 2.0 models for emergency manoeuvre prediction and collision detection on our global fleet, using large-scale, diverse data to validate capabilities and improve generalisation across vehicles, markets, and driving conditions.\n\n - Collaborate on online occupancy models for geometric and semantic perception.\n\n - Build high-value open-loop and closed-loop evaluations for core capabilities and representation learning.\n\n - Align priorities and learn from the organisation - with AV Core, Evaluation, and Product Engineering on roadmaps and failure modes; from fleet, simulation, and product feedback; and through mentoring others on the team.\n\n - Maintain awareness of the wider business context - division and company priorities, near-term product programmes, and how Core Model Safety work enables them.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Staff / Senior Machine Learning Engineer at Wayve, we’re looking for the following skills and experience. \n\n \n\nEssential \n\n - A strong track record of ML engineering, including pathfinding in ambiguous problems - from scoping and evals to establishing a direction (and knowledge transfer) for others to build on.\n\n - Hands-on experience with ML systems deployed in the real world.\n\n - Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable machine learning training and evaluation systems.\n\n - Excellent experimental judgement: able to turn an ambiguous behavioral problem into falsifiable hypotheses, useful metrics, disciplined ablations, and clear technical decisions.\n\n - Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries, and bring others along through clear written and verbal communication.\n\n \n\nDesirable \n\n - Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems.\n\n - Experience in 3D scene understanding and representation learning for geometric and semantic perception, large-scale semantic enrichments.\n\n - Experience mining, generating, or evaluating rare events using simulation and fleet or heterogeneous real-world data.\n\n - Experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.\n\n - Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems.\n\n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $311,850 to $389,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"e76c99bc-717a-441c-9778-903d5dcfae4a","title":"Software Engineer, Data Flywheel Platform","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-30T18:40:58.472+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/e76c99bc-717a-441c-9778-903d5dcfae4a","applyUrl":"https://jobs.ashbyhq.com/wayve/e76c99bc-717a-441c-9778-903d5dcfae4a/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
About Wayve and the team
Wayve is building embodied AI for the physical world, starting with autonomous driving. Instead of the hand-engineered, modular stacks that defined the first era of self-driving, we pioneered AV2.0: a single, end-to-end neural network that learns to drive from raw sensor data and generalizes to new cities, vehicles, and conditions. Our foundation models, the GAIA family of generative world models and the LINGO family of vision-language-action models, allow vehicles to perceive, reason, and act in the open world. We have driven zero-shot across hundreds of cities on three continents, and we are now scaling from proving the science to deploying it with leading automakers and mobility partners, including Nissan, Stellantis, and Uber.
This role sits in the AI Platform organization, on the data flywheel that powers every model we ship. Applied Scientists and ML Engineers on the team push the frontier on data curation, enrichment, foundation-model evaluation, and the models themselves. This role builds the platform underneath all of it: the pipelines, infrastructure, and systems that turn world-scale fleet data into high-signal training data, evaluate and train foundation models, and enable every team to run these workflows themselves. As deployment scales, the leverage is enormous: the better the platform, the faster the whole flywheel turns.
The role
We are hiring a senior Software Engineer to build the platform that powers Wayve’s data flywheel and foundation-model stack. This is the engineering counterpart to our Applied Scientist and ML Engineer roles: you build the systems they, and the wider company, depend on. It is high-leverage, high-visibility work with a clear path to deep system ownership.
Build the systems that allow teams to turn world-scale driving data into high-signal training data, and evaluate and train foundation models on it.
Replace ad-hoc scripts and manual handoffs with self-serve, observable products used across Science, Autonomy, and Evaluation.
Every model Wayve ships runs on this platform: your work compounds across the entire fleet and roadmap.
Work shoulder to shoulder with a world-class science and engineering team, with real deployment at global OEM scale (Nissan, Stellantis, Uber).
Ownership of platform and infrastructure, with room to set technical direction as the platform matures.
What you will do
Build and scale the data curation and enrichment pipelines that turn world-scale fleet data into high-signal training data: mining and active-learning loops, running model-based enrichments over billions of rows, and ensuring data quality at scale.
Build the evaluation infrastructure behind foundation-model progress: harnesses for offline and closed-loop evaluation, metric and benchmark pipelines, and world-model-based evaluation.
Build and optimize training and serving infrastructure for large pretrained models: distributed training, batched inference, and large-scale model backfills.
Build the data-platform backbone: distributed data processing (Ray Data, Daft, Spark / Databricks), embedding and vector search (turbopuffer, Milvus), lakehouse formats (Lance, Iceberg), dataset versioning, and the enrichment and annotation catalog.
Make it self-serve and reliable: turn one-off processes into products that other teams operate themselves, and own testing, observability, and on-call for what you ship.
Partner closely with Applied Scientists and ML Engineers to take research from prototype to production at scale.
What we are looking for
Strong production software engineering, especially production Python (services, APIs, large-scale data processing), and comfort owning and extending large codebases.
Large-scale data and distributed-systems experience: batch and streaming pipelines, workflow orchestration (Flyte, Airflow, Dagster, or similar), and distributed processing (Spark / PySpark, Ray, Databricks, or equivalent).
Systems design for scale: reliable, observable, high-throughput data or ML systems, with strong SQL and query and performance optimization.
A track record of shipping and operating production systems that other teams depend on: testing, code review, observability, and on-call.
Strong CS fundamentals and several years of production experience, or equivalent; a degree in CS or comparable practical experience.
Bonus points
ML platform / MLOps: model registration, distributed training, and inference or serving optimization.
Enough exposure to foundation models, world models, or ML evaluation to partner deeply with scientists.
Embedding and vector search, annotation tooling, or feature and data catalogs.
Kubernetes and modern data / lakehouse stacks (Databricks, Lance, Iceberg).
Autonomous driving, robotics, or other large-scale sensor-data workflows.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nAbout Wayve and the team\n\nWayve is building embodied AI for the physical world, starting with autonomous driving. Instead of the hand-engineered, modular stacks that defined the first era of self-driving, we pioneered AV2.0: a single, end-to-end neural network that learns to drive from raw sensor data and generalizes to new cities, vehicles, and conditions. Our foundation models, the GAIA family of generative world models and the LINGO family of vision-language-action models, allow vehicles to perceive, reason, and act in the open world. We have driven zero-shot across hundreds of cities on three continents, and we are now scaling from proving the science to deploying it with leading automakers and mobility partners, including Nissan, Stellantis, and Uber.\n\nThis role sits in the AI Platform organization, on the data flywheel that powers every model we ship. Applied Scientists and ML Engineers on the team push the frontier on data curation, enrichment, foundation-model evaluation, and the models themselves. This role builds the platform underneath all of it: the pipelines, infrastructure, and systems that turn world-scale fleet data into high-signal training data, evaluate and train foundation models, and enable every team to run these workflows themselves. As deployment scales, the leverage is enormous: the better the platform, the faster the whole flywheel turns.\n\n \n\nThe role\n\nWe are hiring a senior Software Engineer to build the platform that powers Wayve’s data flywheel and foundation-model stack. This is the engineering counterpart to our Applied Scientist and ML Engineer roles: you build the systems they, and the wider company, depend on. It is high-leverage, high-visibility work with a clear path to deep system ownership.\n\n - Build the systems that allow teams to turn world-scale driving data into high-signal training data, and evaluate and train foundation models on it.\n\n - Replace ad-hoc scripts and manual handoffs with self-serve, observable products used across Science, Autonomy, and Evaluation.\n\n - Every model Wayve ships runs on this platform: your work compounds across the entire fleet and roadmap.\n\n - Work shoulder to shoulder with a world-class science and engineering team, with real deployment at global OEM scale (Nissan, Stellantis, Uber).\n\n - Ownership of platform and infrastructure, with room to set technical direction as the platform matures.\n\nWhat you will do\n\n - Build and scale the data curation and enrichment pipelines that turn world-scale fleet data into high-signal training data: mining and active-learning loops, running model-based enrichments over billions of rows, and ensuring data quality at scale.\n\n - Build the evaluation infrastructure behind foundation-model progress: harnesses for offline and closed-loop evaluation, metric and benchmark pipelines, and world-model-based evaluation.\n\n - Build and optimize training and serving infrastructure for large pretrained models: distributed training, batched inference, and large-scale model backfills.\n\n - Build the data-platform backbone: distributed data processing (Ray Data, Daft, Spark / Databricks), embedding and vector search (turbopuffer, Milvus), lakehouse formats (Lance, Iceberg), dataset versioning, and the enrichment and annotation catalog.\n\n - Make it self-serve and reliable: turn one-off processes into products that other teams operate themselves, and own testing, observability, and on-call for what you ship.\n\n - Partner closely with Applied Scientists and ML Engineers to take research from prototype to production at scale.\n\nWhat we are looking for\n\n - Strong production software engineering, especially production Python (services, APIs, large-scale data processing), and comfort owning and extending large codebases.\n\n - Large-scale data and distributed-systems experience: batch and streaming pipelines, workflow orchestration (Flyte, Airflow, Dagster, or similar), and distributed processing (Spark / PySpark, Ray, Databricks, or equivalent).\n\n - Systems design for scale: reliable, observable, high-throughput data or ML systems, with strong SQL and query and performance optimization.\n\n - A track record of shipping and operating production systems that other teams depend on: testing, code review, observability, and on-call.\n\n - Strong CS fundamentals and several years of production experience, or equivalent; a degree in CS or comparable practical experience.\n\nBonus points\n\n - ML platform / MLOps: model registration, distributed training, and inference or serving optimization.\n\n - Enough exposure to foundation models, world models, or ML evaluation to partner deeply with scientists.\n\n - Embedding and vector search, annotation tooling, or feature and data catalogs.\n\n - Kubernetes and modern data / lakehouse stacks (Databricks, Lance, Iceberg).\n\n - Autonomous driving, robotics, or other large-scale sensor-data workflows.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c790f112-dfc6-4d06-bf79-64826c746a2b","title":"Executive Assistant","department":"Executive Operations","team":"Executive Operations","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-27T21:33:39.132+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c790f112-dfc6-4d06-bf79-64826c746a2b","applyUrl":"https://jobs.ashbyhq.com/wayve/c790f112-dfc6-4d06-bf79-64826c746a2b/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role of Executive Assistant offers a dynamic opportunity to have a direct impact on the company’s efficiency and success, providing comprehensive support across various facets of business operations at Wayve.
In order to set you up for success as an EA at Wayve, we’re looking for the following skills and experience.
Essential
Excellent organisational and time management skills across multiple timezones with the ability to prioritise effectively.
Thrive in a fast-paced environment, working well under pressure, delivering good results
Can handle shifting priorities and formulate contingency plans
Comfortable working with senior stakeholders at all levels internally and externally - candidates will need to be able to build and develop strong relationships with a range of stakeholders
Detail-oriented, proactive and takes initiative
Experience supporting Executives/C-suites
Creative approach to problem solving and are solutions orientated
Ability to demonstrate highest level of integrity and confidentiality at all times
A flexible and adaptive style to working, positive attitude, and a team player
Proficient knowledge of Google Drive skills and can adapt to new platforms
Strong communication skills - verbal and written
Desirable
Experienced in managing complex calendars, travel and logistics.
Strong project management skills with experience coordinating complex events and multi-step processes
Skilled in handling expenses and budget management, ensuring financial oversight and compliance
Experience in organising large-scale company events, such as offsites, conferences, or team-building activities
Proficient in managing internal communications and coordinating with teams across different departments
Proactive in identifying opportunities to streamline processes and improve operational efficiency
A creative mindset, comfortable contributing ideas to improve the team experience and the company’s work culture
Strong interpersonal skills with a high level of emotional intelligence, able to navigate sensitive situations with diplomacy and tact
This is a full-time role based in our office, a minimum of three days a week. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $ 105,800 to $ 120,700 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe role of Executive Assistant offers a dynamic opportunity to have a direct impact on the company’s efficiency and success, providing comprehensive support across various facets of business operations at Wayve. \n\n\nABOUT YOU \n\nIn order to set you up for success as an EA at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Excellent organisational and time management skills across multiple timezones with the ability to prioritise effectively.\n\n - Thrive in a fast-paced environment, working well under pressure, delivering good results\n\n - Can handle shifting priorities and formulate contingency plans\n\n - Comfortable working with senior stakeholders at all levels internally and externally - candidates will need to be able to build and develop strong relationships with a range of stakeholders\n\n - Detail-oriented, proactive and takes initiative\n\n - Experience supporting Executives/C-suites\n\n - Creative approach to problem solving and are solutions orientated\n\n - Ability to demonstrate highest level of integrity and confidentiality at all times\n\n - A flexible and adaptive style to working, positive attitude, and a team player\n\n - Proficient knowledge of Google Drive skills and can adapt to new platforms\n\n - Strong communication skills - verbal and written\n\nDesirable \n\n - Experienced in managing complex calendars, travel and logistics.\n\n - Strong project management skills with experience coordinating complex events and multi-step processes\n\n - Skilled in handling expenses and budget management, ensuring financial oversight and compliance\n\n - Experience in organising large-scale company events, such as offsites, conferences, or team-building activities\n\n - Proficient in managing internal communications and coordinating with teams across different departments\n\n - Proactive in identifying opportunities to streamline processes and improve operational efficiency\n\n - A creative mindset, comfortable contributing ideas to improve the team experience and the company’s work culture\n\n - Strong interpersonal skills with a high level of emotional intelligence, able to navigate sensitive situations with diplomacy and tact\n\n \n\nThis is a full-time role based in our office, a minimum of three days a week. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $ 105,800 to $ 120,700 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"a286473a-cdf3-4c2f-b9e0-4ae86e22fb49","title":"Site Reliability Engineer, Vehicle Software","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-30T23:09:25.162+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/a286473a-cdf3-4c2f-b9e0-4ae86e22fb49","applyUrl":"https://jobs.ashbyhq.com/wayve/a286473a-cdf3-4c2f-b9e0-4ae86e22fb49/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Site Reliability Engineer - Vehicle Software
As a Site Reliability Engineer at Wayve, you will work across the full reliability stack for our vehicle software: observability, incident management, operator tooling, and the automation that lets engineering and operations teams detect, triage, and resolve issues faster. You will work closely with software engineers, field engineers, and operations, debugging real systems, improving real processes, and having direct impact on how our vehicles perform in production.
Wayve is scaling its autonomous vehicle programs with partners, and you will help shape the SRE approach for vehicle-centric systems as that happens. This is not a role where reliability sits on top of the real work, it is central to it.
Build and improve tooling, automation, observability, and incident-management processes for vehicle software reliability.
Work closely with field engineers, software teams, and operations to diagnose reliability issues and improve system performance.
Own hands-on debugging across Linux, low-level systems, logs, metrics, traces, and vehicle and production data.
Develop reliability improvements that reduce manual intervention and make issue detection, triage, and recovery faster.
Support vehicle-centric operations, including safety-operator tools and the reliability needs of our customer and partner programs.
You will write production-quality code every day in Python, C++, or Rust. This is a software engineering role as much as a reliability role, and coding is central to the work.
Comfortable debugging at the Linux and systems level, reading logs, tracing failures, and finding root cause in complex environments.
Experience with CI/CD, containerization, networking, distributed systems, databases, and observability and incident-management tooling, including DataDog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio.
Experience diagnosing complex production or operational systems, not just escalating, but seeing problems through to resolution.
The communication skills to work effectively across engineering, operations, and field teams, and the judgment to know when to bring others in.
Based in Sunnyvale and able to be onsite at least three days a week to work alongside the field teams you will support.
Experience with autonomous vehicles, robotics, embedded systems, or safety-critical environments. We know this is rare, and it is not a barrier to applying.
Experience with large-scale telemetry or high-volume data pipelines.
Familiarity with vehicle-centric or on-device software systems.
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $209,700 to $266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nSite Reliability Engineer - Vehicle Software\n\n\nTHE ROLE\n\nAs a Site Reliability Engineer at Wayve, you will work across the full reliability stack for our vehicle software: observability, incident management, operator tooling, and the automation that lets engineering and operations teams detect, triage, and resolve issues faster. You will work closely with software engineers, field engineers, and operations, debugging real systems, improving real processes, and having direct impact on how our vehicles perform in production.\n\nWayve is scaling its autonomous vehicle programs with partners, and you will help shape the SRE approach for vehicle-centric systems as that happens. This is not a role where reliability sits on top of the real work, it is central to it.\n\n\nKEY RESPONSIBILITIES\n\n - Build and improve tooling, automation, observability, and incident-management processes for vehicle software reliability.\n\n - Work closely with field engineers, software teams, and operations to diagnose reliability issues and improve system performance.\n\n - Own hands-on debugging across Linux, low-level systems, logs, metrics, traces, and vehicle and production data.\n\n - Develop reliability improvements that reduce manual intervention and make issue detection, triage, and recovery faster.\n\n - Support vehicle-centric operations, including safety-operator tools and the reliability needs of our customer and partner programs.\n\n\nABOUT YOU\n\n\nESSENTIAL SKILLS\n\n - You will write production-quality code every day in Python, C++, or Rust. This is a software engineering role as much as a reliability role, and coding is central to the work.\n\n - Comfortable debugging at the Linux and systems level, reading logs, tracing failures, and finding root cause in complex environments.\n\n - Experience with CI/CD, containerization, networking, distributed systems, databases, and observability and incident-management tooling, including DataDog, Prometheus, Grafana, OpenTelemetry, Splunk, or Humio.\n\n - Experience diagnosing complex production or operational systems, not just escalating, but seeing problems through to resolution.\n\n - The communication skills to work effectively across engineering, operations, and field teams, and the judgment to know when to bring others in.\n\n - Based in Sunnyvale and able to be onsite at least three days a week to work alongside the field teams you will support.\n\n\nDESIRABLE SKILLS\n\n - Experience with autonomous vehicles, robotics, embedded systems, or safety-critical environments. We know this is rare, and it is not a barrier to applying.\n\n - Experience with large-scale telemetry or high-volume data pipelines.\n\n - Familiarity with vehicle-centric or on-device software systems.\n\n\n \n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $209,700 to $266,800, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"66bdbda6-8b52-459e-8e60-5d9dbc6e82eb","title":"Application Software Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-08-28T05:48:09.252+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/66bdbda6-8b52-459e-8e60-5d9dbc6e82eb","applyUrl":"https://jobs.ashbyhq.com/wayve/66bdbda6-8b52-459e-8e60-5d9dbc6e82eb/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re seeking an exceptional Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.
In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.
Key responsibilities:
Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
Integrate and validate drivers, middleware, and boot-time configurations.
Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
Implement system-level diagnostics, logging, and secure boot configuration.
Develop automation for setup, flashing, health checks, and test execution on target hardware.
In order to set you up for success at Wayve, we’re looking for the following skills and experience.
8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
Strong proficiency in C/C++, Bash, and Python.
Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
Desired
Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.
This is a full-time role based in our office in Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWe’re seeking an exceptional Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.\n\nIn this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.\n\nKey responsibilities:\n\n - Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).\n\n - Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.\n\n - Integrate and validate drivers, middleware, and boot-time configurations.\n\n - Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.\n\n - Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.\n\n - Implement system-level diagnostics, logging, and secure boot configuration.\n\n - Develop automation for setup, flashing, health checks, and test execution on target hardware.\n\n\nABOUT YOU \n\nIn order to set you up for success at Wayve, we’re looking for the following skills and experience. \n\n - 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.\n\n - Strong proficiency in C/C++, Bash, and Python.\n Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).\n\n - Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.\n Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).\n\n - Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).\n\n - Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.\n\n - Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.\n \n \n\nDesired \n\n - Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).\n\n - Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.\n\n - Understanding of secure boot, OTA updates, and system-level cybersecurity topics.\n\n - Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.\n\n \n\nThis is a full-time role based in our office in Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nWe understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.\n\nFor more information visit Careers at Wayve. https://wayve.ai/careers/\n\nTo learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/\n\n\n\nDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"46702a13-66a1-4157-8774-63b8f25546e1","title":"Triage Automation Engineer","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-28T17:56:55.922+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/46702a13-66a1-4157-8774-63b8f25546e1","applyUrl":"https://jobs.ashbyhq.com/wayve/46702a13-66a1-4157-8774-63b8f25546e1/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Triage Automation Engineer at Wayve, you'll play a key role in scaling our Triage and Detectives workflow through process improvement, tooling, and automation. You'll partner with Triage Specialists and Detective Engineers to turn repeated, manual analysis into reliable, productised automation, including triage bots, behavioural classifiers, and workflow tooling. That reduces manual load and speeds up how quickly we identify, understand, and resolve issues across our test and on-road fleets.
This is a highly collaborative, detail-oriented role with a direct impact on the safety and efficiency of Wayve's development pipeline.
Key responsibilities:
Document and measure existing Triage and Detective workflows to identify opportunities for automation and process improvement
Prioritise improvements based on cost, benefit, impact, and feasibility
Partner with Detective Engineers to integrate their scripts and tools into scalable, productised workflows
Work with development, ML, and AI teams to deliver the tooling improvements Triage needs
Build automation pipelines — including triage bots and behavioural classifiers — that reduce manual load on Triage Specialists
Validate automation changes and outputs, including the accuracy and reliability of classifications and suggested root causes
Document newly implemented automations: what they do, how they work, how to use them, known limitations, and expected outputs
Measure and report on triage quality and throughput to track the impact of automation
Collaborate with senior management and cross-functional stakeholders to shape the roadmap for business-critical automation
Willingness to travel domestically and internationally (including trips to our London office)
In order to set you up for success as a Triage Automation Engineer at Wayve, we’re looking for the following skills and experience.
Essential
3+ years of experience working with complex systems, ideally within robotics or autonomous vehicles
Strong scripting and analytical skills (e.g. Python, SQL, Bash/Shell)
Hands-on experience operating in a remote Linux environment
Experience building or maintaining data pipelines or notebooks (e.g. Databricks, Jupyter)
Great communication skills, able to explain complex technical problems to both technical and non-technical stakeholders
Expertise using issue tracking and configuration management tools such as Jira, Confluence, and Bitbucket/GitLab
Comfort with ambiguity — able to measure an existing workflow, identify where automation adds value, and scope a sensible solution
Desirable
Experience with web development languages (e.g. HTML, CSS, React, Java) for building internal tooling
Practical experience with machine learning or classification models (e.g. PyTorch)
Experience with cloud services (ideally Microsoft Azure)
Passion for taking research ideas to production
Track record of promoting statistical rigour and experimental best practice
Experience working in a fast-moving tech company or startup
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $144,500–$183,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a Triage Automation Engineer at Wayve, you'll play a key role in scaling our Triage and Detectives workflow through process improvement, tooling, and automation. You'll partner with Triage Specialists and Detective Engineers to turn repeated, manual analysis into reliable, productised automation, including triage bots, behavioural classifiers, and workflow tooling. That reduces manual load and speeds up how quickly we identify, understand, and resolve issues across our test and on-road fleets.\n\nThis is a highly collaborative, detail-oriented role with a direct impact on the safety and efficiency of Wayve's development pipeline.\n\nKey responsibilities:\n\n - Document and measure existing Triage and Detective workflows to identify opportunities for automation and process improvement\n\n - Prioritise improvements based on cost, benefit, impact, and feasibility\n\n - Partner with Detective Engineers to integrate their scripts and tools into scalable, productised workflows\n\n - Work with development, ML, and AI teams to deliver the tooling improvements Triage needs\n\n - Build automation pipelines — including triage bots and behavioural classifiers — that reduce manual load on Triage Specialists\n\n - Validate automation changes and outputs, including the accuracy and reliability of classifications and suggested root causes\n\n - Document newly implemented automations: what they do, how they work, how to use them, known limitations, and expected outputs\n\n - Measure and report on triage quality and throughput to track the impact of automation\n\n - Collaborate with senior management and cross-functional stakeholders to shape the roadmap for business-critical automation\n\n - Willingness to travel domestically and internationally (including trips to our London office)\n\n\nABOUT YOU \n\nIn order to set you up for success as a Triage Automation Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - 3+ years of experience working with complex systems, ideally within robotics or autonomous vehicles\n\n - Strong scripting and analytical skills (e.g. Python, SQL, Bash/Shell)\n\n - Hands-on experience operating in a remote Linux environment\n\n - Experience building or maintaining data pipelines or notebooks (e.g. Databricks, Jupyter)\n\n - Great communication skills, able to explain complex technical problems to both technical and non-technical stakeholders\n\n - Expertise using issue tracking and configuration management tools such as Jira, Confluence, and Bitbucket/GitLab\n\n - Comfort with ambiguity — able to measure an existing workflow, identify where automation adds value, and scope a sensible solution\n\nDesirable \n\n - Experience with web development languages (e.g. HTML, CSS, React, Java) for building internal tooling\n\n - Practical experience with machine learning or classification models (e.g. PyTorch)\n\n - Experience with cloud services (ideally Microsoft Azure)\n\n - Passion for taking research ideas to production\n\n - Track record of promoting statistical rigour and experimental best practice\n\n - Experience working in a fast-moving tech company or startup\n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $144,500–$183,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"9b10fe43-78c6-4ba9-99ab-f6e21a0e5307","title":"Software Engineer, Embedded Automotive Platform ","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Herzliya, Israel","secondaryLocations":[],"publishedAt":"2026-09-17T12:28:55.302+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/9b10fe43-78c6-4ba9-99ab-f6e21a0e5307","applyUrl":"https://jobs.ashbyhq.com/wayve/9b10fe43-78c6-4ba9-99ab-f6e21a0e5307/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automobile’s embedded hardware. This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently. Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform.You will play a crucial role in advancing Wayve’s AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles.
Key responsibilities:
Design, develop and maintain embedded software for autonomous vehicle platforms, focusing on sensor integration and hardware abstraction.
Implement and optimize device drivers for various sensors and compute hardware.
Collaborate with cross-functional teams to define software requirements and ensure seamless integration with the autonomous driving application stack.
Debug and troubleshoot software issues, ensuring high reliability and performance.
Participate in code reviews, testing, and documentation to maintain high software quality standards.
Stay up-to-date with industry trends and advancements in embedded systems and autonomous vehicle technology
In order to set you up for success as an Embedded Automotive Platforms Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries
Proficiency in C++ programming language for high-performance systems
Hands-on experience with embedded operating systems (e.g., Linux, QNX, RTOS)
Experience with embedded operating systems (e.g., Linux, QNX, RTOS)
Strong understanding of Middleware architectures and IPC mechanisms
Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues
Familiarity with Hardware Abstraction Layers (HAL) and device driver development
Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras) and their integration with embedded systems
Strong debugging skills and attention to detail in complex systems
Excellent communication and teamwork skills
Ability to work in a fast-paced and dynamic environment
Desirable
Prior experience developing and deploying autonomous vehicle software on commercial automobiles
Experience with NVIDIA Drive Orin platform, Qualcomm 8650/8620 or similar automotive computing platforms
Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)
This is a full-time role based in our office in Herzliya, Israel. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automobile’s embedded hardware. This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently. Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform.You will play a crucial role in advancing Wayve’s AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles.\n\nKey responsibilities:\n\n - Design, develop and maintain embedded software for autonomous vehicle platforms, focusing on sensor integration and hardware abstraction.\n\n - Implement and optimize device drivers for various sensors and compute hardware.\n\n - Collaborate with cross-functional teams to define software requirements and ensure seamless integration with the autonomous driving application stack.\n\n - Debug and troubleshoot software issues, ensuring high reliability and performance.\n\n - Participate in code reviews, testing, and documentation to maintain high software quality standards.\n\n - Stay up-to-date with industry trends and advancements in embedded systems and autonomous vehicle technology\n\n\nABOUT YOU \n\nIn order to set you up for success as an Embedded Automotive Platforms Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field\n\n - Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries\n\n - Proficiency in C++ programming language for high-performance systems\n\n - Hands-on experience with embedded operating systems (e.g., Linux, QNX, RTOS)\n\n - Experience with embedded operating systems (e.g., Linux, QNX, RTOS)\n\n - Strong understanding of Middleware architectures and IPC mechanisms\n\n - Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues\n\n - Familiarity with Hardware Abstraction Layers (HAL) and device driver development\n\n - Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras) and their integration with embedded systems\n\n - Strong debugging skills and attention to detail in complex systems\n\n - Excellent communication and teamwork skills \n\n - Ability to work in a fast-paced and dynamic environment\n\nDesirable \n\n - Prior experience developing and deploying autonomous vehicle software on commercial automobiles\n\n - Experience with NVIDIA Drive Orin platform, Qualcomm 8650/8620 or similar automotive computing platforms\n\n - Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)\n\nThis is a full-time role based in our office in Herzliya, Israel. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c1e34bef-180d-494d-bef4-337d95029b1a","title":"Controls Engineeer","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-31T12:40:10.761+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c1e34bef-180d-494d-bef4-337d95029b1a","applyUrl":"https://jobs.ashbyhq.com/wayve/c1e34bef-180d-494d-bef4-337d95029b1a/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
In this role you will develop and improve the vehicle trajectory and motion controllers that translate the Wayve AI Driver outputs into safe, smooth and robust vehicle motion across different vehicle platforms and applications (both ADAS and AV). You’ll tackle cutting-edge challenges: developing principled controls approaches, implementing real time systems, testing in complex scenarios and refining our evaluation pipelines. This is a great chance to make an impact on the AV industry and grow alongside a focused team of passionate experts at the forefront of autonomous driving technology.
Key responsibilities:
Develop, integrate, tune, and validate control, trajectory-generation, and action-processing algorithms across different vehicle platforms, operating modes, and challenging driving conditions, ensuring robust real-world performance
Maintain and evolve our controls software architecture that connects AI Driver outputs to real-time vehicle actuation and feedback
Implement and maintain production-quality, latency-sensitive control software in C++ for deployment to prototype, reference and production vehicles
Use simulation, closed-loop evaluation and on-road testing to characterize controller behaviour, diagnose performance issues and validate improvements
Work with teams across Wayve to define controller interfaces, integrate with adjacent systems and enable new vehicle platforms and product features
Strong fundamentals in control theory, with depth in one or more of optimization, model-predictive control, numerical methods or dynamical systems
Practical experience developing, tuning and validating control or motion systems on real world physical systems
Strong software engineering skills, with experience building reliable production-quality systems in C++
Experience with latency-sensitive or real-time software
Ability to reason about and debug system-level behaviour in complex robotic systems across software and hardware
Applied experience with model predictive control, trajectory optimization, motion planning etc.
Direct experience with mobile robotics or autonomous vehicle systems
Experience in the automotive industry, including ADAS or vehicle controls
Experience with safety-critical systems, validation, and relevant industry standards (e.g. ISO 26262)
Applied machine learning experience, or experience developing systems that integrate with ML components
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
The reasonably estimated salary for this role ranges from $209,700 to $266,800 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nIn this role you will develop and improve the vehicle trajectory and motion controllers that translate the Wayve AI Driver outputs into safe, smooth and robust vehicle motion across different vehicle platforms and applications (both ADAS and AV). You’ll tackle cutting-edge challenges: developing principled controls approaches, implementing real time systems, testing in complex scenarios and refining our evaluation pipelines. This is a great chance to make an impact on the AV industry and grow alongside a focused team of passionate experts at the forefront of autonomous driving technology.\n\nKey responsibilities:\n\n - Develop, integrate, tune, and validate control, trajectory-generation, and action-processing algorithms across different vehicle platforms, operating modes, and challenging driving conditions, ensuring robust real-world performance\n\n - Maintain and evolve our controls software architecture that connects AI Driver outputs to real-time vehicle actuation and feedback\n\n - Implement and maintain production-quality, latency-sensitive control software in C++ for deployment to prototype, reference and production vehicles\n\n - Use simulation, closed-loop evaluation and on-road testing to characterize controller behaviour, diagnose performance issues and validate improvements\n\n - Work with teams across Wayve to define controller interfaces, integrate with adjacent systems and enable new vehicle platforms and product features\n\n\nREQUIRED SKILLS/EXPERIENCE\n\n - Strong fundamentals in control theory, with depth in one or more of optimization, model-predictive control, numerical methods or dynamical systems\n\n - Practical experience developing, tuning and validating control or motion systems on real world physical systems\n\n - Strong software engineering skills, with experience building reliable production-quality systems in C++\n\n - Experience with latency-sensitive or real-time software\n\n - Ability to reason about and debug system-level behaviour in complex robotic systems across software and hardware\n\n\nDESIRED SKILLS/EXPERIENCE\n\n - Applied experience with model predictive control, trajectory optimization, motion planning etc.\n\n - Direct experience with mobile robotics or autonomous vehicle systems\n\n - Experience in the automotive industry, including ADAS or vehicle controls\n\n - Experience with safety-critical systems, validation, and relevant industry standards (e.g. ISO 26262)\n\n - Applied machine learning experience, or experience developing systems that integrate with ML components\n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nThe reasonably estimated salary for this role ranges from $209,700 to $266,800 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"50d4c4d2-2100-4c76-a2b0-70787f66af42","title":"Controls Engineer","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-31T12:40:36.676+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/50d4c4d2-2100-4c76-a2b0-70787f66af42","applyUrl":"https://jobs.ashbyhq.com/wayve/50d4c4d2-2100-4c76-a2b0-70787f66af42/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
In this role you will develop and improve the vehicle trajectory and motion controllers that translate the Wayve AI Driver outputs into safe, smooth and robust vehicle motion across different vehicle platforms and applications (both ADAS and AV). You’ll tackle cutting-edge challenges: developing principled controls approaches, implementing real time systems, testing in complex scenarios and refining our evaluation pipelines. This is a great chance to make an impact on the AV industry and grow alongside a focused team of passionate experts at the forefront of autonomous driving technology.
Key responsibilities:
Develop, integrate, tune, and validate control, trajectory-generation, and action-processing algorithms across different vehicle platforms, operating modes, and challenging driving conditions, ensuring robust real-world performance
Maintain and evolve our controls software architecture that connects AI Driver outputs to real-time vehicle actuation and feedback
Implement and maintain production-quality, latency-sensitive control software in C++ for deployment to prototype, reference and production vehicles
Use simulation, closed-loop evaluation and on-road testing to characterize controller behaviour, diagnose performance issues and validate improvements
Work with teams across Wayve to define controller interfaces, integrate with adjacent systems and enable new vehicle platforms and product features
Strong fundamentals in control theory, with depth in one or more of optimization, model-predictive control, numerical methods or dynamical systems
Practical experience developing, tuning and validating control or motion systems on real world physical systems
Strong software engineering skills, with experience building reliable production-quality systems in C++
Experience with latency-sensitive or real-time software
Ability to reason about and debug system-level behaviour in complex robotic systems across software and hardware
Applied experience with model predictive control, trajectory optimization, motion planning etc.
Direct experience with mobile robotics or autonomous vehicle systems
Experience in the automotive industry, including ADAS or vehicle controls
Experience with safety-critical systems, validation, and relevant industry standards (e.g. ISO 26262)
Applied machine learning experience, or experience developing systems that integrate with ML components
This is a full-time role based in our office in London, England. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\n \n\nIn this role you will develop and improve the vehicle trajectory and motion controllers that translate the Wayve AI Driver outputs into safe, smooth and robust vehicle motion across different vehicle platforms and applications (both ADAS and AV). You’ll tackle cutting-edge challenges: developing principled controls approaches, implementing real time systems, testing in complex scenarios and refining our evaluation pipelines. This is a great chance to make an impact on the AV industry and grow alongside a focused team of passionate experts at the forefront of autonomous driving technology.\n\n\n\n\n\nKey responsibilities:\n\n - Develop, integrate, tune, and validate control, trajectory-generation, and action-processing algorithms across different vehicle platforms, operating modes, and challenging driving conditions, ensuring robust real-world performance\n\n - Maintain and evolve our controls software architecture that connects AI Driver outputs to real-time vehicle actuation and feedback\n\n - Implement and maintain production-quality, latency-sensitive control software in C++ for deployment to prototype, reference and production vehicles\n\n - Use simulation, closed-loop evaluation and on-road testing to characterize controller behaviour, diagnose performance issues and validate improvements\n\n - Work with teams across Wayve to define controller interfaces, integrate with adjacent systems and enable new vehicle platforms and product features\n\n\n\n\n\n\n\n\nREQUIRED SKILLS/EXPERIENCE\n\n - Strong fundamentals in control theory, with depth in one or more of optimization, model-predictive control, numerical methods or dynamical systems \n\n - Practical experience developing, tuning and validating control or motion systems on real world physical systems\n\n - Strong software engineering skills, with experience building reliable production-quality systems in C++\n\n - Experience with latency-sensitive or real-time software\n\n - Ability to reason about and debug system-level behaviour in complex robotic systems across software and hardware\n \n \n\n\nDESIRED SKILLS/EXPERIENCE\n\n - Applied experience with model predictive control, trajectory optimization, motion planning etc. \n\n - Direct experience with mobile robotics or autonomous vehicle systems\n\n - Experience in the automotive industry, including ADAS or vehicle controls\n\n - Experience with safety-critical systems, validation, and relevant industry standards (e.g. ISO 26262)\n\n - Applied machine learning experience, or experience developing systems that integrate with ML components\n\n \n\nThis is a full-time role based in our office in London, England. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"efd27cee-9d80-4f01-811e-f87c1d5b2b45","title":"Technical Director, Safety Case","department":"Commercial & Operations","team":"Commercial & Operations","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-31T02:31:30.253+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/efd27cee-9d80-4f01-811e-f87c1d5b2b45","applyUrl":"https://jobs.ashbyhq.com/wayve/efd27cee-9d80-4f01-811e-f87c1d5b2b45/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are looking for a Technical Director, Safety Case to own the architecture, strategy and integrity of Wayve’s safety cases for our first products. This role sits independently from Engineering and Product and reports into Safety Management & Assurance, providing senior expert safety oversight while working closely with the teams responsible for designing, developing, validating and releasing the product.
You will act as the architect of the safety case: defining the top-level claims, argumentation structure, evidence strategy and assurance approach that connect product intent, system behaviour, AI performance, engineering controls, validation and operational deployment into a coherent safety argument. You will provide independent challenge and advice, while enabling Engineering and Product teams to own and deliver the safety evidence required for their systems.
Own the safety case strategy and architecture for Wayve’s robotaxi and OEM ADAS products.
Define top-level safety claims, argumentation, evidence structures, and traceability from safety requirements through validation and deployment decisions.
Develop safety arguments appropriate for AI-enabled autonomous driving, incorporating functional safety, SOTIF, AI safety, cybersecurity, validation, operational safety, and post-deployment monitoring.
Evolve reusable safety case approaches as Wayve’s products, vehicle platforms, and evidence base mature.
Partner with Product, Systems Engineering, AI/ML, Validation, Vehicle Engineering, Software, Hardware, and Operational Safety to define safety requirements and evidence expectations.
Identify gaps, assumptions, and weaknesses in the safety argument early and drive resolution with accountable teams.
Ensure product requirements, architecture, validation plans, and release criteria remain aligned with the safety case.
Support technical and programme leaders in making proportionate, evidence-based safety decisions.
Provide independent technical challenge of safety cases and supporting evidence.
Assess whether safety arguments are coherent, complete, evidence-backed, and sufficient to support release or deployment.
Highlight material gaps, uncertainties, dependencies, residual risks, and safety red lines.
Provide clear recommendations to safety governance forums and senior leadership.
Build a common understanding of safety case principles across Wayve.
Coach engineering and product leaders on structured safety argumentation, evidence quality, and traceability.
Represent the safety case perspective in internal governance, customer, and technical discussions.
Contribute to Wayve’s broader safety strategy and assurance capability.
Deep experience developing or owning safety cases for complex safety-critical systems, ideally in autonomous vehicles, ADAS, robotics, aerospace, defence, or another software-intensive domain.
Strong systems engineering background spanning requirements, architecture, verification, validation, and safety assurance.
Proven ability to translate complex technical evidence into structured safety claims and arguments.
Strong understanding of autonomous driving and AI/ML safety, including model performance, data, uncertainty, and limitations of conventional verification approaches.
Experience partnering with AI/ML, engineering, systems, and product teams on safety-critical products.
Strong knowledge of relevant standards, including ISO 26262, ISO 21448, ISO/PAS 8800, and ISO 3450x.
Excellent technical communication and stakeholder management skills.
Safety case experience with L2+/L3 ADAS or L4 ADS products.
Experience with GSN or equivalent structured assurance methods.
Safety evidence experience for end-to-end or foundation-model-based autonomous driving.
Experience working with OEMs, regulators, assessors, or independent safety reviewers.
Familiarity with operational and post-deployment safety monitoring.
You are an architect and systems thinker who can move comfortably between top-level safety strategy and detailed technical evidence.
You are pragmatic and able to distinguish between what is essential to the safety argument and what is merely desirable.
You are intellectually rigorous, curious and comfortable challenging assumptions, including established industry practice where it does not adequately address AI-enabled autonomous driving.
You can work independently of Engineering and Product without becoming detached from them: your role is to provide credible challenge, direction and oversight while helping teams succeed.
You are comfortable operating with uncertainty and can make clear recommendations based on the strength of the available evidence.
You are open to challenge and willing to change your position when better evidence emerges.
You can clearly articulate where you believe a safety red line exists, why it matters, and what evidence or mitigation would be required to move it.
A clear and credible safety case architecture exists for Wayve’s first robotaxi and OEM ADAS products.
Engineering and Product teams understand the safety claims they support and the evidence they are responsible for delivering.
Safety gaps and weak assumptions are identified early enough to influence product decisions rather than being discovered at the end of a programme.
Wayve develops a safety argument for AI-enabled autonomous driving that is technically rigorous, scalable and capable of standing up to scrutiny from customers, regulators and independent assessors.
Senior safety and product governance has an independent, evidence-based view of whether the safety case is sufficiently strong to support release and deployment decisions.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe are looking for a Technical Director, Safety Case to own the architecture, strategy and integrity of Wayve’s safety cases for our first products. This role sits independently from Engineering and Product and reports into Safety Management & Assurance, providing senior expert safety oversight while working closely with the teams responsible for designing, developing, validating and releasing the product.\n\nYou will act as the architect of the safety case: defining the top-level claims, argumentation structure, evidence strategy and assurance approach that connect product intent, system behaviour, AI performance, engineering controls, validation and operational deployment into a coherent safety argument. You will provide independent challenge and advice, while enabling Engineering and Product teams to own and deliver the safety evidence required for their systems.\n\n\nWHAT YOU’LL BE DOING\n\n\nSAFETY CASE STRATEGY & ARCHITECTURE\n\n - Own the safety case strategy and architecture for Wayve’s robotaxi and OEM ADAS products.\n\n - Define top-level safety claims, argumentation, evidence structures, and traceability from safety requirements through validation and deployment decisions.\n\n - Develop safety arguments appropriate for AI-enabled autonomous driving, incorporating functional safety, SOTIF, AI safety, cybersecurity, validation, operational safety, and post-deployment monitoring.\n\n - Evolve reusable safety case approaches as Wayve’s products, vehicle platforms, and evidence base mature.\n\n\nPRODUCT & ENGINEERING INTEGRATION\n\n - Partner with Product, Systems Engineering, AI/ML, Validation, Vehicle Engineering, Software, Hardware, and Operational Safety to define safety requirements and evidence expectations.\n\n - Identify gaps, assumptions, and weaknesses in the safety argument early and drive resolution with accountable teams.\n\n - Ensure product requirements, architecture, validation plans, and release criteria remain aligned with the safety case.\n\n - Support technical and programme leaders in making proportionate, evidence-based safety decisions.\n\n\nINDEPENDENT SAFETY ASSURANCE\n\n - Provide independent technical challenge of safety cases and supporting evidence.\n\n - Assess whether safety arguments are coherent, complete, evidence-backed, and sufficient to support release or deployment.\n\n - Highlight material gaps, uncertainties, dependencies, residual risks, and safety red lines.\n\n - Provide clear recommendations to safety governance forums and senior leadership.\n\n\nSAFETY LEADERSHIP\n\n - Build a common understanding of safety case principles across Wayve.\n\n - Coach engineering and product leaders on structured safety argumentation, evidence quality, and traceability.\n\n - Represent the safety case perspective in internal governance, customer, and technical discussions.\n\n - Contribute to Wayve’s broader safety strategy and assurance capability.\n\n\nABOUT YOU\n\n\nESSENTIAL EXPERIENCE\n\n - Deep experience developing or owning safety cases for complex safety-critical systems, ideally in autonomous vehicles, ADAS, robotics, aerospace, defence, or another software-intensive domain.\n\n - Strong systems engineering background spanning requirements, architecture, verification, validation, and safety assurance.\n\n - Proven ability to translate complex technical evidence into structured safety claims and arguments.\n\n - Strong understanding of autonomous driving and AI/ML safety, including model performance, data, uncertainty, and limitations of conventional verification approaches.\n\n - Experience partnering with AI/ML, engineering, systems, and product teams on safety-critical products.\n\n - Strong knowledge of relevant standards, including ISO 26262, ISO 21448, ISO/PAS 8800, and ISO 3450x.\n\n - Excellent technical communication and stakeholder management skills.\n\n\nDESIRABLE\n\n - Safety case experience with L2+/L3 ADAS or L4 ADS products.\n\n - Experience with GSN or equivalent structured assurance methods.\n\n - Safety evidence experience for end-to-end or foundation-model-based autonomous driving.\n\n - Experience working with OEMs, regulators, assessors, or independent safety reviewers.\n\n - Familiarity with operational and post-deployment safety monitoring.\n\n\nWHAT WE’RE LOOKING FOR\n\n - You are an architect and systems thinker who can move comfortably between top-level safety strategy and detailed technical evidence.\n\n - You are pragmatic and able to distinguish between what is essential to the safety argument and what is merely desirable.\n\n - You are intellectually rigorous, curious and comfortable challenging assumptions, including established industry practice where it does not adequately address AI-enabled autonomous driving.\n\n - You can work independently of Engineering and Product without becoming detached from them: your role is to provide credible challenge, direction and oversight while helping teams succeed.\n\n - You are comfortable operating with uncertainty and can make clear recommendations based on the strength of the available evidence.\n\n - You are open to challenge and willing to change your position when better evidence emerges.\n\n - You can clearly articulate where you believe a safety red line exists, why it matters, and what evidence or mitigation would be required to move it.\n\n\nSUCCESS IN THIS ROLE\n\n - A clear and credible safety case architecture exists for Wayve’s first robotaxi and OEM ADAS products.\n\n - Engineering and Product teams understand the safety claims they support and the evidence they are responsible for delivering.\n\n - Safety gaps and weak assumptions are identified early enough to influence product decisions rather than being discovered at the end of a programme.\n\n - Wayve develops a safety argument for AI-enabled autonomous driving that is technically rigorous, scalable and capable of standing up to scrutiny from customers, regulators and independent assessors.\n\n - Senior safety and product governance has an independent, evidence-based view of whether the safety case is sufficiently strong to support release and deployment decisions.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"271b5b78-a548-4047-b747-0f8359967127","title":"Principal Vehicle Integration Lead","department":"Hardware & Supply Chain","team":"Hardware & Supply Chain","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-28T22:23:01.513+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/271b5b78-a548-4047-b747-0f8359967127","applyUrl":"https://jobs.ashbyhq.com/wayve/271b5b78-a548-4047-b747-0f8359967127/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is looking for an Vehicle Integration Lead to provide technical leadership for the electrical architecture, integration, validation, and delivery of our autonomous driving systems across vehicle platforms.
This role sits at the intersection of electrical and mechanical engineering, vehicle systems, autonomous driving hardware, software, and integration. You will lead the electrical integration of compute, sensing, power, communications, and supporting hardware into development and production-intent vehicles, ensuring systems perform reliably and safely in real-world environments.
You will work closely with Systems Engineering, Embedded Software, Autonomy, Safety, Vehicle Operations, Manufacturing, Supply Chain, OEM partners, and external suppliers. You will provide technical direction while remaining close enough to the engineering to lead design decisions, troubleshoot complex integration issues, and drive programs through validation and vehicle readiness.
Lead the electrical architecture, mechanical design, and vehicle integration of Wayve's autonomous driving hardware across multiple development vehicle platforms.
Own integration from early vehicle architecture and requirements through prototype builds, validation, production readiness, and deployment.
Lead integration of:
High-performance compute platforms
Cameras and other perception sensors
Radar, lidar, GNSS, IMUs, and supporting sensors
Power distribution and power management systems
ECUs and embedded electronic systems
CAN, LIN, Automotive Ethernet, and other vehicle networks
Wiring harnesses, connectors, and electrical interfaces
Custom electronics and PCBAs
Define system requirements, interfaces, architecture, and integration strategies for new vehicle platforms.
Partner with software, systems, autonomy, OEMs, and assembly partners to ensure hardware and software interfaces are clearly defined and validated.
Lead architecture and design reviews, making technical trade-offs across performance, reliability, safety, packaging, manufacturability, cost, and schedule.
Drive vehicle-level integration, bring-up, commissioning, and validation.
Lead troubleshooting and root-cause analysis of complex integration issues across vehicles, hardware, and software.
Develop verification and validation strategies to ensure systems meet performance, reliability, environmental, and safety requirements.
Identify technical risks early and drive mitigation plans through development and vehicle launch.
Partner with Functional Safety and Systems Engineering teams to ensure electrical architecture supports applicable safety requirements.
Work directly with OEMs, Tier 1 suppliers, contract manufacturers, upfitters, and integration partners to establish technical requirements and resolve integration challenges.
Partner with Supply Chain and Manufacturing on component selection, supplier technical evaluations, production readiness, and engineering changes.
Support prototype and vehicle builds, including issue triage and resolution during critical integration and test activities.
Establish and continuously improve electrical engineering standards, design practices, documentation, and vehicle integration processes.
Mentor electrical engineers and provide technical guidance across programs.
Significant experience in electrical and mechanical engineering, vehicle integration, autonomous vehicles, ADAS, robotics, or advanced mobility.
Deep understanding of vehicle electrical and electronic architectures.
Demonstrated experience integrating complex electrical systems into development or production vehicles.
Experience taking vehicle hardware from requirements and architecture through prototype integration, validation, and production readiness.
Strong knowledge of:
Vehicle power distribution and power management
Automotive compute and ECUs
Camera and perception sensor integration
CAN, LIN, Automotive Ethernet, and vehicle communications
Wiring harnesses, connectors, grounding, and electrical interfaces
PCBAs and electronic hardware
EMC/EMI, signal integrity, power integrity, grounding, and shielding
Electrical verification and validation
Strong hands-on debugging, bring-up, and root-cause analysis experience.
Ability to diagnose issues that cross electrical hardware, embedded software, mechanical systems, and vehicle networks.
Experience working with vehicle schematics, wiring diagrams, interface control documents, requirements, and diagnostic tools.
Experience working with OEMs, Tier 1 suppliers, upfitters, contract manufacturers, or vehicle integration partners.
Understanding of automotive product development, engineering change management, configuration management, and release processes.
Experience with structured engineering methods such as DFMEA, DVP&R, requirements management, and design reviews.
Strong systems thinking and ability to balance technical requirements with program timelines and business objectives.
Demonstrated ability to lead technical work across multiple teams without relying solely on organizational authority.
Strong written and verbal communication skills with the ability to communicate effectively with engineers, suppliers, program leaders, and senior stakeholders.
Bachelor's degree in Electrical Engineering or a related technical discipline, or equivalent practical experience.
Direct experience developing autonomous driving or ADAS vehicle platforms.
Experience integrating high-performance AI compute into vehicles.
Experience integrating cameras, radar, lidar, GNSS, IMUs, or other perception systems.
Knowledge of automotive functional safety, including ISO 26262.
Familiarity with automotive cybersecurity and secure vehicle architectures.
Experience with vehicle diagnostics, CAN tools, logging, telemetry, and automated validation.
Experience with automotive EMC/EMI and environmental qualification.
Experience transitioning vehicle systems from engineering prototypes into repeatable production builds.
Experience supporting vehicle fleets and diagnosing issues observed during real-world operation.
Experience working across multiple OEM vehicle architectures or adapting a common autonomous driving system to multiple vehicle platforms.
You are a hands-on technical leader who understands both engineering design and the realities of integrating complex technology into vehicles.
You can move comfortably between hardware architecture, vehicle-level systems thinking, design reviews, supplier discussions, and hands-on troubleshooting. When an issue occurs during vehicle bring-up, you can work across electrical, software, mechanical, and systems teams to isolate the problem, understand the root cause, and drive it to resolution.
You lead through technical credibility, sound judgment, and collaboration. You create clarity across disciplines, challenge assumptions constructively, and make thoughtful trade-offs while maintaining a high engineering bar.
Most importantly, you understand that successful autonomous vehicle integration requires the compute, sensors, power, communications, software, safety systems, and base vehicle to operate as one cohesive system.
This role is a full-time role based in Sunnyvale, CA and the reasonably estimated salary for this role ranges from $314,700 to 408,100, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWayve is looking for an Vehicle Integration Lead to provide technical leadership for the electrical architecture, integration, validation, and delivery of our autonomous driving systems across vehicle platforms.\n\nThis role sits at the intersection of electrical and mechanical engineering, vehicle systems, autonomous driving hardware, software, and integration. You will lead the electrical integration of compute, sensing, power, communications, and supporting hardware into development and production-intent vehicles, ensuring systems perform reliably and safely in real-world environments.\n\nYou will work closely with Systems Engineering, Embedded Software, Autonomy, Safety, Vehicle Operations, Manufacturing, Supply Chain, OEM partners, and external suppliers. You will provide technical direction while remaining close enough to the engineering to lead design decisions, troubleshoot complex integration issues, and drive programs through validation and vehicle readiness.\n\n\nWHAT YOU’LL DO\n\n - Lead the electrical architecture, mechanical design, and vehicle integration of Wayve's autonomous driving hardware across multiple development vehicle platforms.\n\n - Own integration from early vehicle architecture and requirements through prototype builds, validation, production readiness, and deployment.\n\n - Lead integration of:\n \n - High-performance compute platforms\n \n - Cameras and other perception sensors\n \n - Radar, lidar, GNSS, IMUs, and supporting sensors\n \n - Power distribution and power management systems\n \n - ECUs and embedded electronic systems\n \n - CAN, LIN, Automotive Ethernet, and other vehicle networks\n \n - Wiring harnesses, connectors, and electrical interfaces\n \n - Custom electronics and PCBAs\n\n - Define system requirements, interfaces, architecture, and integration strategies for new vehicle platforms.\n\n - Partner with software, systems, autonomy, OEMs, and assembly partners to ensure hardware and software interfaces are clearly defined and validated.\n\n - Lead architecture and design reviews, making technical trade-offs across performance, reliability, safety, packaging, manufacturability, cost, and schedule.\n\n - Drive vehicle-level integration, bring-up, commissioning, and validation.\n\n - Lead troubleshooting and root-cause analysis of complex integration issues across vehicles, hardware, and software.\n\n - Develop verification and validation strategies to ensure systems meet performance, reliability, environmental, and safety requirements.\n\n - Identify technical risks early and drive mitigation plans through development and vehicle launch.\n\n - Partner with Functional Safety and Systems Engineering teams to ensure electrical architecture supports applicable safety requirements.\n\n - Work directly with OEMs, Tier 1 suppliers, contract manufacturers, upfitters, and integration partners to establish technical requirements and resolve integration challenges.\n\n - Partner with Supply Chain and Manufacturing on component selection, supplier technical evaluations, production readiness, and engineering changes.\n\n - Support prototype and vehicle builds, including issue triage and resolution during critical integration and test activities.\n\n - Establish and continuously improve electrical engineering standards, design practices, documentation, and vehicle integration processes.\n\n - Mentor electrical engineers and provide technical guidance across programs.\n\n\nWHAT YOU’LL BRING\n\n - Significant experience in electrical and mechanical engineering, vehicle integration, autonomous vehicles, ADAS, robotics, or advanced mobility.\n\n - Deep understanding of vehicle electrical and electronic architectures.\n\n - Demonstrated experience integrating complex electrical systems into development or production vehicles.\n\n - Experience taking vehicle hardware from requirements and architecture through prototype integration, validation, and production readiness.\n\n - Strong knowledge of:\n \n - Vehicle power distribution and power management\n \n - Automotive compute and ECUs\n \n - Camera and perception sensor integration\n \n - CAN, LIN, Automotive Ethernet, and vehicle communications\n \n - Wiring harnesses, connectors, grounding, and electrical interfaces\n \n - PCBAs and electronic hardware\n \n - EMC/EMI, signal integrity, power integrity, grounding, and shielding\n \n - Electrical verification and validation\n\n - Strong hands-on debugging, bring-up, and root-cause analysis experience.\n\n - Ability to diagnose issues that cross electrical hardware, embedded software, mechanical systems, and vehicle networks.\n\n - Experience working with vehicle schematics, wiring diagrams, interface control documents, requirements, and diagnostic tools.\n\n - Experience working with OEMs, Tier 1 suppliers, upfitters, contract manufacturers, or vehicle integration partners.\n\n - Understanding of automotive product development, engineering change management, configuration management, and release processes.\n\n - Experience with structured engineering methods such as DFMEA, DVP&R, requirements management, and design reviews.\n\n - Strong systems thinking and ability to balance technical requirements with program timelines and business objectives.\n\n - Demonstrated ability to lead technical work across multiple teams without relying solely on organizational authority.\n\n - Strong written and verbal communication skills with the ability to communicate effectively with engineers, suppliers, program leaders, and senior stakeholders.\n\n - Bachelor's degree in Electrical Engineering or a related technical discipline, or equivalent practical experience.\n\n\nNICE TO HAVE\n\n - Direct experience developing autonomous driving or ADAS vehicle platforms.\n\n - Experience integrating high-performance AI compute into vehicles.\n\n - Experience integrating cameras, radar, lidar, GNSS, IMUs, or other perception systems.\n\n - Knowledge of automotive functional safety, including ISO 26262.\n\n - Familiarity with automotive cybersecurity and secure vehicle architectures.\n\n - Experience with vehicle diagnostics, CAN tools, logging, telemetry, and automated validation.\n\n - Experience with automotive EMC/EMI and environmental qualification.\n\n - Experience transitioning vehicle systems from engineering prototypes into repeatable production builds.\n\n - Experience supporting vehicle fleets and diagnosing issues observed during real-world operation.\n\n - Experience working across multiple OEM vehicle architectures or adapting a common autonomous driving system to multiple vehicle platforms.\n\n\nLEADERSHIP PROFILE\n\n - You are a hands-on technical leader who understands both engineering design and the realities of integrating complex technology into vehicles.\n\n - You can move comfortably between hardware architecture, vehicle-level systems thinking, design reviews, supplier discussions, and hands-on troubleshooting. When an issue occurs during vehicle bring-up, you can work across electrical, software, mechanical, and systems teams to isolate the problem, understand the root cause, and drive it to resolution.\n\n - You lead through technical credibility, sound judgment, and collaboration. You create clarity across disciplines, challenge assumptions constructively, and make thoughtful trade-offs while maintaining a high engineering bar.\n\n - Most importantly, you understand that successful autonomous vehicle integration requires the compute, sensors, power, communications, software, safety systems, and base vehicle to operate as one cohesive system.\n\n\nThis role is a full-time role based in Sunnyvale, CA and the reasonably estimated salary for this role ranges from $314,700 to 408,100, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"6cadce32-d317-4766-bebb-d5be0a300d29","title":"Technical Director, Safety Case","department":"Commercial & Operations","team":"Commercial & Operations","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-31T02:31:33.201+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/6cadce32-d317-4766-bebb-d5be0a300d29","applyUrl":"https://jobs.ashbyhq.com/wayve/6cadce32-d317-4766-bebb-d5be0a300d29/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are looking for a Technical Director, Safety Case to own the architecture, strategy and integrity of Wayve’s safety cases for our first products. This role sits independently from Engineering and Product and reports into Safety Management & Assurance, providing senior expert safety oversight while working closely with the teams responsible for designing, developing, validating and releasing the product.
You will act as the architect of the safety case: defining the top-level claims, argumentation structure, evidence strategy and assurance approach that connect product intent, system behavior, AI performance, engineering controls, validation and operational deployment into a coherent safety argument. You will provide independent challenge and advice, while enabling Engineering and Product teams to own and deliver the safety evidence required for their systems.
Own the safety case strategy and architecture for Wayve’s robotaxi and OEM ADAS products.
Define top-level safety claims, argumentation, evidence structures, and traceability from safety requirements through validation and deployment decisions.
Develop safety arguments appropriate for AI-enabled autonomous driving, incorporating functional safety, SOTIF, AI safety, cybersecurity, validation, operational safety, and post-deployment monitoring.
Evolve reusable safety case approaches as Wayve’s products, vehicle platforms, and evidence base mature.
Partner with Product, Systems Engineering, AI/ML, Validation, Vehicle Engineering, Software, Hardware, and Operational Safety to define safety requirements and evidence expectations.
Identify gaps, assumptions, and weaknesses in the safety argument early and drive resolution with accountable teams.
Ensure product requirements, architecture, validation plans, and release criteria remain aligned with the safety case.
Support technical and program leaders in making proportionate, evidence-based safety decisions.
Provide independent technical challenge of safety cases and supporting evidence.
Assess whether safety arguments are coherent, complete, evidence-backed, and sufficient to support release or deployment.
Highlight material gaps, uncertainties, dependencies, residual risks, and safety red lines.
Provide clear recommendations to safety governance forums and senior leadership.
Build a common understanding of safety case principles across Wayve.
Coach engineering and product leaders on structured safety argumentation, evidence quality, and traceability.
Represent the safety case perspective in internal governance, customer, and technical discussions.
Contribute to Wayve’s broader safety strategy and assurance capability.
Deep experience developing or owning safety cases for complex safety-critical systems, ideally in autonomous vehicles, ADAS, robotics, aerospace, defense, or another software-intensive domain.
Strong systems engineering background spanning requirements, architecture, verification, validation, and safety assurance.
Proven ability to translate complex technical evidence into structured safety claims and arguments.
Strong understanding of autonomous driving and AI/ML safety, including model performance, data, uncertainty, and limitations of conventional verification approaches.
Experience partnering with AI/ML, engineering, systems, and product teams on safety-critical products.
Strong knowledge of relevant standards, including ISO 26262, ISO 21448, ISO/PAS 8800, and ISO 3450x.
Excellent technical communication and stakeholder management skills.
Safety case experience with L2+/L3 ADAS or L4 ADS products.
Experience with GSN or equivalent structured assurance methods.
Safety evidence experience for end-to-end or foundation-model-based autonomous driving.
Experience working with OEMs, regulators, assessors, or independent safety reviewers.
Familiarity with operational and post-deployment safety monitoring.
You are an architect and systems thinker who can move comfortably between top-level safety strategy and detailed technical evidence.
You are pragmatic and able to distinguish between what is essential to the safety argument and what is merely desirable.
You are intellectually rigorous, curious and comfortable challenging assumptions, including established industry practice where it does not adequately address AI-enabled autonomous driving.
You can work independently of Engineering and Product without becoming detached from them: your role is to provide credible challenge, direction and oversight while helping teams succeed.
You are comfortable operating with uncertainty and can make clear recommendations based on the strength of the available evidence.
You are open to challenge and willing to change your position when better evidence emerges.
You can clearly articulate where you believe a safety red line exists, why it matters, and what evidence or mitigation would be required to move it.
A clear and credible safety case architecture exists for Wayve’s first robotaxi and OEM ADAS products.
Engineering and Product teams understand the safety claims they support and the evidence they are responsible for delivering.
Safety gaps and weak assumptions are identified early enough to influence product decisions rather than being discovered at the end of a program.
Wayve develops a safety argument for AI-enabled autonomous driving that is technically rigorous, scalable and capable of standing up to scrutiny from customers, regulators and independent assessors.
Senior safety and product governance has an independent, evidence-based view of whether the safety case is sufficiently strong to support release and deployment decisions.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $290,000 to 426,300, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe are looking for a Technical Director, Safety Case to own the architecture, strategy and integrity of Wayve’s safety cases for our first products. This role sits independently from Engineering and Product and reports into Safety Management & Assurance, providing senior expert safety oversight while working closely with the teams responsible for designing, developing, validating and releasing the product.\n\nYou will act as the architect of the safety case: defining the top-level claims, argumentation structure, evidence strategy and assurance approach that connect product intent, system behavior, AI performance, engineering controls, validation and operational deployment into a coherent safety argument. You will provide independent challenge and advice, while enabling Engineering and Product teams to own and deliver the safety evidence required for their systems.\n\n\nWHAT YOU’LL BE DOING\n\n\nSAFETY CASE STRATEGY & ARCHITECTURE\n\n - Own the safety case strategy and architecture for Wayve’s robotaxi and OEM ADAS products.\n\n - Define top-level safety claims, argumentation, evidence structures, and traceability from safety requirements through validation and deployment decisions.\n\n - Develop safety arguments appropriate for AI-enabled autonomous driving, incorporating functional safety, SOTIF, AI safety, cybersecurity, validation, operational safety, and post-deployment monitoring.\n\n - Evolve reusable safety case approaches as Wayve’s products, vehicle platforms, and evidence base mature.\n\n\nPRODUCT & ENGINEERING INTEGRATION\n\n - Partner with Product, Systems Engineering, AI/ML, Validation, Vehicle Engineering, Software, Hardware, and Operational Safety to define safety requirements and evidence expectations.\n\n - Identify gaps, assumptions, and weaknesses in the safety argument early and drive resolution with accountable teams.\n\n - Ensure product requirements, architecture, validation plans, and release criteria remain aligned with the safety case.\n\n - Support technical and program leaders in making proportionate, evidence-based safety decisions.\n\n\nINDEPENDENT SAFETY ASSURANCE\n\n - Provide independent technical challenge of safety cases and supporting evidence.\n\n - Assess whether safety arguments are coherent, complete, evidence-backed, and sufficient to support release or deployment.\n\n - Highlight material gaps, uncertainties, dependencies, residual risks, and safety red lines.\n\n - Provide clear recommendations to safety governance forums and senior leadership.\n\n\nSAFETY LEADERSHIP\n\n - Build a common understanding of safety case principles across Wayve.\n\n - Coach engineering and product leaders on structured safety argumentation, evidence quality, and traceability.\n\n - Represent the safety case perspective in internal governance, customer, and technical discussions.\n\n - Contribute to Wayve’s broader safety strategy and assurance capability.\n\n\nABOUT YOU\n\n\nESSENTIAL EXPERIENCE\n\n - Deep experience developing or owning safety cases for complex safety-critical systems, ideally in autonomous vehicles, ADAS, robotics, aerospace, defense, or another software-intensive domain.\n\n - Strong systems engineering background spanning requirements, architecture, verification, validation, and safety assurance.\n\n - Proven ability to translate complex technical evidence into structured safety claims and arguments.\n\n - Strong understanding of autonomous driving and AI/ML safety, including model performance, data, uncertainty, and limitations of conventional verification approaches.\n\n - Experience partnering with AI/ML, engineering, systems, and product teams on safety-critical products.\n\n - Strong knowledge of relevant standards, including ISO 26262, ISO 21448, ISO/PAS 8800, and ISO 3450x.\n\n - Excellent technical communication and stakeholder management skills.\n\n\nDESIRABLE\n\n - Safety case experience with L2+/L3 ADAS or L4 ADS products.\n\n - Experience with GSN or equivalent structured assurance methods.\n\n - Safety evidence experience for end-to-end or foundation-model-based autonomous driving.\n\n - Experience working with OEMs, regulators, assessors, or independent safety reviewers.\n\n - Familiarity with operational and post-deployment safety monitoring.\n\n\nWHAT WE’RE LOOKING FOR\n\n - You are an architect and systems thinker who can move comfortably between top-level safety strategy and detailed technical evidence.\n\n - You are pragmatic and able to distinguish between what is essential to the safety argument and what is merely desirable.\n\n - You are intellectually rigorous, curious and comfortable challenging assumptions, including established industry practice where it does not adequately address AI-enabled autonomous driving.\n\n - You can work independently of Engineering and Product without becoming detached from them: your role is to provide credible challenge, direction and oversight while helping teams succeed.\n\n - You are comfortable operating with uncertainty and can make clear recommendations based on the strength of the available evidence.\n\n - You are open to challenge and willing to change your position when better evidence emerges.\n\n - You can clearly articulate where you believe a safety red line exists, why it matters, and what evidence or mitigation would be required to move it.\n\n\nSUCCESS IN THIS ROLE\n\n - A clear and credible safety case architecture exists for Wayve’s first robotaxi and OEM ADAS products.\n\n - Engineering and Product teams understand the safety claims they support and the evidence they are responsible for delivering.\n\n - Safety gaps and weak assumptions are identified early enough to influence product decisions rather than being discovered at the end of a program.\n\n - Wayve develops a safety argument for AI-enabled autonomous driving that is technically rigorous, scalable and capable of standing up to scrutiny from customers, regulators and independent assessors.\n\n - Senior safety and product governance has an independent, evidence-based view of whether the safety case is sufficiently strong to support release and deployment decisions.\n\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $290,000 to 426,300, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"8fb4112e-a3cf-4bd2-afdb-f2ee93c414bb","title":"Staff Validation Systems Engineer","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-31T21:40:05.000+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/8fb4112e-a3cf-4bd2-afdb-f2ee93c414bb","applyUrl":"https://jobs.ashbyhq.com/wayve/8fb4112e-a3cf-4bd2-afdb-f2ee93c414bb/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve’s AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation for ADAS Functions. Collaborating with systems engineers and data scientists, you will leverage Wayve’s unique simulation and evaluation technology, and meet emerging AV industry standards as autonomy transitions to fully end-to-end learned models—helping bring the Wayve AI Driver to millions globally.
Develop and implement a comprehensive validation strategy across test modalities to assess ADAS Functions that are part of the Wayve AI Driver product.
Define and implement general purpose metrics for validating on-road and simulated driving behavior.
Define test coverage requirements and build comprehensive test suites.
Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams.
Analyze test results and report findings to Release and Autonomy Engineering stakeholders.
Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution.
Collaborate closely with Product, Architecture, Data, Simulation, and Autonomy leads to design and implement comprehensive yet efficient test strategies.
To succeed as a Validation Systems Engineer at Wayve, you’ll bring the following skills and experience:
Essential
Clear, concise communicator with excellent documentation skills.
Strong analytical skills with experience in evidence-based decision-making.
Hands-on experience evaluating and validating complex engineered systems — whether through simulated scenario development, real-world testing, or both.
Experience in the Automotive or AV industries.
Proficiency in Python to implement metrics and work with evaluation codebase.
Experience with both simulated and physical testing environments for autonomous systems.
Experience analyzing and reporting validation results.
Demonstrated ownership driving validation concepts from ideation to implementation in ambiguous, fast-paced environments.
Degree in Computer Science, Robotics, Aerospace, or a related field.
Desirable
Background in ML, Computer Vision, Motion Planning, or Data Science.
Experience in the Automotive or AV industries.
Experience with SOTIF and safety validation.
Skilled in evaluating and validating learned or adaptive behaviors.
Experience with modern AI tools and agentic workflows
Experience analyzing large datasets with SQL
Deep understanding of driving behavior and how to measure driving performance.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWayve’s AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation for ADAS Functions. Collaborating with systems engineers and data scientists, you will leverage Wayve’s unique simulation and evaluation technology, and meet emerging AV industry standards as autonomy transitions to fully end-to-end learned models—helping bring the Wayve AI Driver to millions globally.\n\n\nKEY RESPONSIBILITIES\n\n - Develop and implement a comprehensive validation strategy across test modalities to assess ADAS Functions that are part of the Wayve AI Driver product.\n\n - Define and implement general purpose metrics for validating on-road and simulated driving behavior.\n\n - Define test coverage requirements and build comprehensive test suites.\n\n - Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams.\n\n - Analyze test results and report findings to Release and Autonomy Engineering stakeholders.\n\n - Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution. \n\n - Collaborate closely with Product, Architecture, Data, Simulation, and Autonomy leads to design and implement comprehensive yet efficient test strategies.\n\n\nABOUT YOU \n\nTo succeed as a Validation Systems Engineer at Wayve, you’ll bring the following skills and experience:\n\nEssential\n\n - Clear, concise communicator with excellent documentation skills.\n\n - Strong analytical skills with experience in evidence-based decision-making.\n\n - Hands-on experience evaluating and validating complex engineered systems — whether through simulated scenario development, real-world testing, or both.\n\n - Experience in the Automotive or AV industries.\n\n - Proficiency in Python to implement metrics and work with evaluation codebase.\n\n - Experience with both simulated and physical testing environments for autonomous systems.\n\n - Experience analyzing and reporting validation results.\n\n - Demonstrated ownership driving validation concepts from ideation to implementation in ambiguous, fast-paced environments.\n\n - Degree in Computer Science, Robotics, Aerospace, or a related field.\n\nDesirable\n\n - Background in ML, Computer Vision, Motion Planning, or Data Science.\n\n - Experience in the Automotive or AV industries.\n\n - Experience with SOTIF and safety validation.\n\n - Skilled in evaluating and validating learned or adaptive behaviors.\n\n - Experience with modern AI tools and agentic workflows \n\n - Experience analyzing large datasets with SQL\n\n - Deep understanding of driving behavior and how to measure driving performance.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"feeebbf5-bdd0-4a1a-a76f-9adcecfb7c03","title":"Staff Validation Systems Engineer","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-08-31T21:38:19.078+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/feeebbf5-bdd0-4a1a-a76f-9adcecfb7c03","applyUrl":"https://jobs.ashbyhq.com/wayve/feeebbf5-bdd0-4a1a-a76f-9adcecfb7c03/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve’s AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation for L2+ Driving Features. Collaborating with systems engineers and data scientists, you will leverage Wayve’s unique simulation and evaluation technology, and meet emerging AV industry standards as autonomy transitions to fully end-to-end learned models—helping bring the Wayve AI Driver to millions globally.
Develop and implement a comprehensive validation strategy across test modalities to assess L2+ Driving Features that are part of the Wayve AI Driver product.
Define and implement general purpose metrics for validating on-road and simulated driving behavior.
Define test coverage requirements and build comprehensive test suites.
Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams.
Analyze test results and report findings to Release and Autonomy Engineering stakeholders.
Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution.
Collaborate closely with Product, Architecture, Data, Simulation, and Autonomy leads to design and implement comprehensive yet efficient test strategies.
To succeed as a Validation Systems Engineer at Wayve, you’ll bring the following skills and experience:
Essential
Clear, concise communicator with excellent documentation skills.
Strong analytical skills with experience in evidence-based decision-making.
Hands-on experience evaluating and validating complex engineered systems — whether through simulated scenario development, real-world testing, or both.
Experience working in autonomy for driving, robotics, or related products.
Proficiency in Python to implement metrics and work with evaluation codebase.
Experience with both simulated and physical testing environments for autonomous systems.
Experience analyzing and reporting validation results.
Demonstrated ownership driving validation concepts from ideation to implementation in ambiguous, fast-paced environments.
Degree in Computer Science, Robotics, Aerospace, or a related field.
Desirable
Background in ML, Computer Vision, Motion Planning, or Data Science.
Experience working in autonomy for driving, robotics, or related products.
Experience with SOTIF and safety validation.
Skilled in evaluating and validating learned or adaptive behaviors.
Experience with modern AI tools and agentic workflows
Experience analyzing large datasets with SQL
Deep understanding of driving behavior and how to measure driving performance.
This is a full-time role based in our office in Sunnyvale, CA. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $276,100-$303,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWayve’s AI Validation Division builds trust in the Wayve AI Driver for our customers. As a Staff Validation Engineer, you will lead the development, execution, and reporting of validation for L2+ Driving Features. Collaborating with systems engineers and data scientists, you will leverage Wayve’s unique simulation and evaluation technology, and meet emerging AV industry standards as autonomy transitions to fully end-to-end learned models—helping bring the Wayve AI Driver to millions globally.\n\n\nKEY RESPONSIBILITIES\n\n - Develop and implement a comprehensive validation strategy across test modalities to assess L2+ Driving Features that are part of the Wayve AI Driver product.\n\n - Define and implement general purpose metrics for validating on-road and simulated driving behavior.\n\n - Define test coverage requirements and build comprehensive test suites.\n\n - Develop acceptance criteria through collaboration with Product, Safety, and AV Engineering teams.\n\n - Analyze test results and report findings to Release and Autonomy Engineering stakeholders.\n\n - Identify data, simulation, and evaluation team dependencies to enable timely, scalable, and automated validation execution. \n\n - Collaborate closely with Product, Architecture, Data, Simulation, and Autonomy leads to design and implement comprehensive yet efficient test strategies.\n\n\nABOUT YOU \n\nTo succeed as a Validation Systems Engineer at Wayve, you’ll bring the following skills and experience:\n\nEssential\n\n - Clear, concise communicator with excellent documentation skills.\n\n - Strong analytical skills with experience in evidence-based decision-making.\n\n - Hands-on experience evaluating and validating complex engineered systems — whether through simulated scenario development, real-world testing, or both.\n\n - Experience working in autonomy for driving, robotics, or related products.\n\n - Proficiency in Python to implement metrics and work with evaluation codebase.\n\n - Experience with both simulated and physical testing environments for autonomous systems.\n\n - Experience analyzing and reporting validation results.\n\n - Demonstrated ownership driving validation concepts from ideation to implementation in ambiguous, fast-paced environments.\n\n - Degree in Computer Science, Robotics, Aerospace, or a related field.\n\nDesirable\n\n - Background in ML, Computer Vision, Motion Planning, or Data Science.\n\n - Experience working in autonomy for driving, robotics, or related products.\n\n - Experience with SOTIF and safety validation.\n\n - Skilled in evaluating and validating learned or adaptive behaviors.\n\n - Experience with modern AI tools and agentic workflows \n\n - Experience analyzing large datasets with SQL\n\n - Deep understanding of driving behavior and how to measure driving performance.\n\nThis is a full-time role based in our office in Sunnyvale, CA. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $276,100-$303,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"3dbb060d-192a-4a4a-9a25-628d9ce60b89","title":"Senior Machine Learning Engineer, Search & Index","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-01T13:22:30.607+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/3dbb060d-192a-4a4a-9a25-628d9ce60b89","applyUrl":"https://jobs.ashbyhq.com/wayve/3dbb060d-192a-4a4a-9a25-628d9ce60b89/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are hiring a Senior Machine Learning Engineer for our Search & Indexing team, responsible for making Wayve’s massive corpus of multimodal video data discoverable and searchable. This team builds the indexing infrastructure that powers vector-based and metadata-based retrieval - enabling high-leverage workflows across data curation, training set construction and ML research.
You’ll work closely with the Technical Lead and peers to scale, and evolve the system that supports retrieval across hundreds of thousands of hours of driving data. You’ll contribute to architectural decisions, own complex components, and help define best practices as the team grows.
You’ll play a key role in launching the next version of our indexing stack, supporting basic similarity search and metadata filtering across hundreds of thousands of hours of video and sensor data. The immediate focus is to move quickly: leverage off-the-shelf tools, help inform build vs. buy decisions, and deliver an MVP system in months - not quarters.
This role requires someone who is comfortable in ambiguity, technically pragmatic, and able to make strong architectural decisions in imperfect conditions. You’ll collaborate with ML teams, platform engineers, and downstream users to turn indexing from a bottleneck into a core capability.
Build and operate production search and indexing systems at billion-vector scale.
Apply and evaluate embedding models for semantic and multimodal retrieval, including inference, normalization, versioning, and integration.
Build evaluation frameworks to measure retrieval quality, recall, relevance, filtering accuracy, latency, freshness, scalability, and cost.
Develop backend services and APIs for vector similarity and metadata-filtered search.
Own search components from design and implementation through deployment and production operations.
Collaborate with ML, Data, and Evaluation teams to integrate search into training, curation, and evaluation workflows.
Support the growth of other engineers through code reviews, technical guidance, knowledge sharing, and mentoring.
In order to set you up for success at Wayve, we’re looking for the following skills and experience:
7+ years of experience in backend, infrastructure, or ML systems, building production systems.
Experience with vector databases or ANN technologies such as FAISS, LanceDB, or similar open-source solutions.
Strong understanding of multimodal embeddings and experience evaluating search quality across relevance, recall, filtering accuracy, and performance.
Strong coding skills in Python or other systems languages
Experience building search services, APIs, and large-scale ingestion and indexing pipelines.
Experience delivering 0→1 systems in ambiguous or exploratory problem spaces.
Comfortable working across system boundaries (infra, ML, data curation)
Experience with large-scale ML pipelines or distributed data infrastructure.
Familiarity with multimodal data, including video, images, sensor data, and metadata.
Exposure to active learning, semantic retrieval, or training-data selection workflows.
Prior experience in autonomy, robotics, or large-scale data infrastructure
Experience evaluating technical vendors and working with external technology providers.
#LI-HH1
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $311,850 to $350,625, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe are hiring a Senior Machine Learning Engineer for our Search & Indexing team, responsible for making Wayve’s massive corpus of multimodal video data discoverable and searchable. This team builds the indexing infrastructure that powers vector-based and metadata-based retrieval - enabling high-leverage workflows across data curation, training set construction and ML research.\n\nYou’ll work closely with the Technical Lead and peers to scale, and evolve the system that supports retrieval across hundreds of thousands of hours of driving data. You’ll contribute to architectural decisions, own complex components, and help define best practices as the team grows.\n\nYou’ll play a key role in launching the next version of our indexing stack, supporting basic similarity search and metadata filtering across hundreds of thousands of hours of video and sensor data. The immediate focus is to move quickly: leverage off-the-shelf tools, help inform build vs. buy decisions, and deliver an MVP system in months - not quarters.\n\nThis role requires someone who is comfortable in ambiguity, technically pragmatic, and able to make strong architectural decisions in imperfect conditions. You’ll collaborate with ML teams, platform engineers, and downstream users to turn indexing from a bottleneck into a core capability.\n\n\nKEY RESPONSIBILITIES\n\n - Build and operate production search and indexing systems at billion-vector scale.\n\n - Apply and evaluate embedding models for semantic and multimodal retrieval, including inference, normalization, versioning, and integration.\n\n - Build evaluation frameworks to measure retrieval quality, recall, relevance, filtering accuracy, latency, freshness, scalability, and cost.\n\n - Develop backend services and APIs for vector similarity and metadata-filtered search.\n\n - Own search components from design and implementation through deployment and production operations.\n\n - Collaborate with ML, Data, and Evaluation teams to integrate search into training, curation, and evaluation workflows.\n\n - Support the growth of other engineers through code reviews, technical guidance, knowledge sharing, and mentoring.\n\n\nABOUT YOU\n\nIn order to set you up for success at Wayve, we’re looking for the following skills and experience:\n\n\nESSENTIAL\n\n - 7+ years of experience in backend, infrastructure, or ML systems, building production systems.\n\n - Experience with vector databases or ANN technologies such as FAISS, LanceDB, or similar open-source solutions.\n\n - Strong understanding of multimodal embeddings and experience evaluating search quality across relevance, recall, filtering accuracy, and performance.\n\n - Strong coding skills in Python or other systems languages\n\n - Experience building search services, APIs, and large-scale ingestion and indexing pipelines.\n\n - Experience delivering 0→1 systems in ambiguous or exploratory problem spaces.\n\n - Comfortable working across system boundaries (infra, ML, data curation)\n\n\nDESIRABLE\n\n - Experience with large-scale ML pipelines or distributed data infrastructure.\n\n - Familiarity with multimodal data, including video, images, sensor data, and metadata.\n\n - Exposure to active learning, semantic retrieval, or training-data selection workflows.\n\n - Prior experience in autonomy, robotics, or large-scale data infrastructure\n\n - Experience evaluating technical vendors and working with external technology providers.\n\n#LI-HH1\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $311,850 to $350,625, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"77436be1-aaae-4b10-8c33-3cbf6bb48ab2","title":"Software Engineer, Simulation ","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-03T16:03:45.075+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/77436be1-aaae-4b10-8c33-3cbf6bb48ab2","applyUrl":"https://jobs.ashbyhq.com/wayve/77436be1-aaae-4b10-8c33-3cbf6bb48ab2/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a software engineer in Wayve’s Core Simulation team, you will help develop the simulation system used to evaluate and improve Wayve’s driving intelligence.
Wayve’s end-to-end driving stack creates unique simulation challenges. Rather than testing independently specified modules, we need to reproduce the behaviour of a learned driving system across a complex combination of sensor data, model inference, routing, control and vehicle dynamics. Our simulator must be realistic enough to provide meaningful signal, reproducible enough for teams to trust the results, and descriptive enough to understand differences between simulated and on-road behaviour.
Our open-loop and closed-loop simulation workflows share a common codebase, with different components executed and configured depending on the use case. You will initially work with the team focused on high-scale open-loop evaluation, while contributing to shared components and infrastructure used across the broader simulation system.
This is a hands-on software engineering role working across C++ and Python. You will take ownership of scoped features and integrations, working closely with engineers across Simulation, Robotics, Autonomy, Evaluation, Platform and Data to make simulation accurate, reliable, scalable and useful to its users.
Develop and maintain production-quality components within Wayve’s simulation system using modern C++ and Python.
Integrate driving-stack components, simulated robot systems and new vehicle-platform capabilities into the shared simulation environment.
Support different simulation configurations and ensure components interact correctly across applicable workflows.
Investigate differences between on-road and simulated execution, identifying issues across data, inference and simulated components.
Improve simulation reproducibility, reliability and debuggability through automated testing, observability and better developer tooling.
Profile and improve simulator performance, helping us run increasingly large evaluation workloads efficiently.
Work with internal users and adjacent engineering teams to clarify requirements, resolve integration issues and deliver scoped improvements.
Contribute to technical designs and help evolve the quality and maintainability of the simulation codebase.
Essential
Professional experience developing, delivering and maintaining production software in a collaborative engineering environment.
Strong software development skills in C++ and Python, with depth in at least one and the ability to work effectively in both.
Relevant experience in simulation, robotics, autonomous systems or similarly complex systems involving multiple interacting software components.
Good understanding of software and data-oriented design, including how to build code that is maintainable, reusable and extensible.
Experience debugging complex systems and reasoning about interfaces, data flows, timing and failure modes.
Understanding of common software performance issues and the ability to make pragmatic design trade-offs.
Ability to independently deliver scoped features, communicate progress clearly and raise risks or blockers early.
Experience using GenAI development tools, such as coding assistants or agents, to improve productivity while carefully reviewing, testing and validating their output.
Strong communication and collaboration skills.
Desirable
Experience in autonomous vehicles or other robotics applications.
Experience simulating or modelling vehicles, robots or their dynamics.
Experience with middleware or integrating components across complex software systems.
Experience working with sensor data such as camera, radar, lidar or GNSS, including modelling uncertainty or noise.
Experience integrating machine-learning inference into production systems.
Experience with performance profiling, observability or debugging distributed systems.
Familiarity with large-scale batch processing, cloud infrastructure or GPU-based workloads.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a software engineer in Wayve’s Core Simulation team, you will help develop the simulation system used to evaluate and improve Wayve’s driving intelligence.\n\nWayve’s end-to-end driving stack creates unique simulation challenges. Rather than testing independently specified modules, we need to reproduce the behaviour of a learned driving system across a complex combination of sensor data, model inference, routing, control and vehicle dynamics. Our simulator must be realistic enough to provide meaningful signal, reproducible enough for teams to trust the results, and descriptive enough to understand differences between simulated and on-road behaviour.\n\nOur open-loop and closed-loop simulation workflows share a common codebase, with different components executed and configured depending on the use case. You will initially work with the team focused on high-scale open-loop evaluation, while contributing to shared components and infrastructure used across the broader simulation system.\n\nThis is a hands-on software engineering role working across C++ and Python. You will take ownership of scoped features and integrations, working closely with engineers across Simulation, Robotics, Autonomy, Evaluation, Platform and Data to make simulation accurate, reliable, scalable and useful to its users.\n\n \n\n\nCHALLENGES YOU WILL OWN\n\n - Develop and maintain production-quality components within Wayve’s simulation system using modern C++ and Python.\n\n - Integrate driving-stack components, simulated robot systems and new vehicle-platform capabilities into the shared simulation environment.\n\n - Support different simulation configurations and ensure components interact correctly across applicable workflows.\n\n - Investigate differences between on-road and simulated execution, identifying issues across data, inference and simulated components.\n\n - Improve simulation reproducibility, reliability and debuggability through automated testing, observability and better developer tooling.\n\n - Profile and improve simulator performance, helping us run increasingly large evaluation workloads efficiently.\n\n - Work with internal users and adjacent engineering teams to clarify requirements, resolve integration issues and deliver scoped improvements.\n\n - Contribute to technical designs and help evolve the quality and maintainability of the simulation codebase.\n\n \n\n\nABOUT YOU\n\nEssential\n\n - Professional experience developing, delivering and maintaining production software in a collaborative engineering environment.\n\n - Strong software development skills in C++ and Python, with depth in at least one and the ability to work effectively in both.\n\n - Relevant experience in simulation, robotics, autonomous systems or similarly complex systems involving multiple interacting software components.\n\n - Good understanding of software and data-oriented design, including how to build code that is maintainable, reusable and extensible.\n\n - Experience debugging complex systems and reasoning about interfaces, data flows, timing and failure modes.\n\n - Understanding of common software performance issues and the ability to make pragmatic design trade-offs.\n\n - Ability to independently deliver scoped features, communicate progress clearly and raise risks or blockers early.\n\n - Experience using GenAI development tools, such as coding assistants or agents, to improve productivity while carefully reviewing, testing and validating their output.\n\n - Strong communication and collaboration skills.\n\n \n\nDesirable\n\n - Experience in autonomous vehicles or other robotics applications.\n\n - Experience simulating or modelling vehicles, robots or their dynamics.\n\n - Experience with middleware or integrating components across complex software systems.\n\n - Experience working with sensor data such as camera, radar, lidar or GNSS, including modelling uncertainty or noise.\n\n - Experience integrating machine-learning inference into production systems.\n\n - Experience with performance profiling, observability or debugging distributed systems.\n\n - Familiarity with large-scale batch processing, cloud infrastructure or GPU-based workloads.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"78f45e19-43f1-465a-b01f-563d279a1863","title":"Engineering Manager, SRE – AV Fleet, Japan","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Yokohama, Japan","secondaryLocations":[],"publishedAt":"2026-09-05T01:08:25.726+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/78f45e19-43f1-465a-b01f-563d279a1863","applyUrl":"https://jobs.ashbyhq.com/wayve/78f45e19-43f1-465a-b01f-563d279a1863/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is looking for a hands-on Engineering Manager to lead the Japan team responsible for the reliability, safety and availability of our autonomous vehicle fleet. You will lead the Japan Fleet Reliability SRE team, collaborate closely with the separate Field Engineering organisation, own your team’s people, roadmap and reliability outcomes, and connect Japan’s real-world needs with global Vehicle Software engineering.
This is not a coordination-only role: you will stay close to incidents, designs, code and vehicle systems while building an organisation that can scale beyond any individual.
Build, coach and retain a high-performing, inclusive Japan Fleet Reliability SRE team with clear ownership and sustainable escalation coverage.
Maximise safe on-road time by improving fleet health, incident response, release reliability and operational readiness.
Turn recurring vehicle and software failure modes into durable engineering improvements, automation and measurable reliability targets.
Create a scalable operating model for new vehicle platforms, Gen 3 capabilities and future commercial fleet growth in Japan.
Represent Japan’s operational needs in global engineering priorities while bringing global standards and lessons back into local operations.
Own team engagement, performance, hiring, onboarding, development and retention; set clear expectations and provide timely, high-quality feedback.
Coach SREs through regular one-to-ones, growth plans and career conversations, addressing performance gaps early and fairly.
Plan team capacity and skills against the roadmap, assign the right people to the highest-value problems and maintain a sustainable on-call and support model.
Create psychological safety while holding a high bar for engineering quality, operational discipline, ownership and follow-through.
Lead the team through organisational, technical and programme change with clarity, empathy and decisiveness.
Be the accountable engineering escalation point for Japan fleet reliability, including high-severity incidents and operational risks.
Establish clear incident command, escalation and communication practices across Fleet Operations, Vehicle Safety Operators and engineering teams.
Improve detection, diagnosis and recovery for failures across vehicle compute, sensors, power, networking, software deployment, model delivery, data capture and offload workflows.
Ensure post-incident reviews are blameless, evidence-based and converted into owned corrective actions, preventive controls and reusable playbooks.
Maintain healthy on-call rotations, effective runbooks and clear handoffs across Japan, the United Kingdom and the United States.
Define and evolve service-level indicators, service-level objectives and error budgets for the fleet’s most important operational workflows.
Use fleet health, availability, incident, change-failure, recovery-time, data-quality and toil metrics to identify priorities and demonstrate improvement.
Set technical direction for observability, SLI/SLOs, production readiness, release safety, automation, remote diagnostics and fleet tooling; participate directly in design and code reviews and challenge failure assumptions.
Embed production-readiness, observability, safe change management, release validation and rollback expectations into systems used by the Japan fleet.
Balance immediate operational needs with technical debt reduction and long-term resilience.
Translate company and programme goals into a clear Japan Fleet Reliability roadmap, milestones, staffing plan, dependencies and measurable outcomes.
Partner with Vehicle Software, Fleet Operations, Field Engineering, VSI/Platform Integration, Vehicle Generalization, safety, infrastructure and programme teams to move new vehicles and capabilities into stable operations.
Drive operational readiness for new vehicle variants and capabilities, including commissioning, validation, release rollout, field support and handover into steady-state operations.
Identify technical, people and schedule risks early; make trade-offs explicit, escalate appropriately and keep stakeholders informed without creating unnecessary process.
Build strong, respectful relationships with Japanese OEMs, suppliers and operational partners where the role requires engineering coordination.
Guide the design and delivery of tools, services and APIs that improve fleet visibility, health monitoring, remote diagnosis, configuration, release safety and operational control.
Automate repetitive investigation, recovery and reporting workflows so fleet growth does not require linear headcount growth.
Ensure tooling supports auditable decisions, clear ownership and safe operation, with appropriate access controls and failure handling.
Create feedback loops that turn field observations and failure data into priorities for platform, vehicle and software engineering teams.
Communicate clearly and promptly during incidents, programme reviews, planning and day-to-day collaboration across local and global teams.
Provide concise status, risk and decision updates to technical and non-technical stakeholders, adapting detail to the audience.
Clarify ownership and interfaces between Fleet Reliability SRE, Field Engineering, Fleet Operations, VSI/Platform Integration, Vehicle Generalization and other partner teams.
Represent the team’s roadmap and operational evidence in global forums, influence upstream roadmaps and mentor people beyond your direct team.
A capable, engaged and accountable Japan Fleet Reliability SRE team with clear ownership, strong development plans and a sustainable support model.
Improving safe fleet availability, faster detection and recovery, fewer repeat incidents and more reliable software and model rollouts.
Critical workflows have useful SLIs and SLOs, and reliability investment is prioritised using operational evidence rather than anecdotes.
New vehicles and capabilities move from engineering bring-up to stable operations through repeatable readiness gates and clear handoffs.
Japan priorities and risks are visible early, dependencies are actively managed and committed roadmap outcomes are delivered predictably.
Automation and tooling measurably reduce manual work and enable the fleet to scale without proportional operational overhead.
Essential
Engineering-management experience with direct accountability for a software, SRE, platform, systems or similarly technical team.
A track record of leading and developing a team of approximately 5–10 engineers or similarly complex multidisciplinary groups.
Practical mastery of reliability engineering, observability, incident management, release and change safety, resilience and continuous improvement.
Strong engineering depth and current credibility in design review, debugging, automation, code review and production systems.
Experience owning roadmaps, resourcing, dependencies, technical trade-offs and measurable delivery outcomes.
Evidence of hiring, coaching, developing and managing performance while creating clarity, accountability and psychological safety.
Calm, structured judgement during incidents and the ability to communicate risk clearly to senior, technical and operational stakeholders.
Willingness to work regularly onsite in the Yokohama area and join an engineering escalation rotation.
Permission to work in Japan, or eligibility for employer-supported immigration where applicable to the final hiring plan.
Desirable
Autonomous vehicles, robotics, automotive software, embedded or edge compute, safety-critical systems or large physical fleets.
Vehicle commissioning, compute or sensor integration, networking, diagnostics, data offload or over-the-air deployment.
Linux, cloud infrastructure, Kubernetes, telemetry pipelines, infrastructure as code and modern observability tooling.
Building internal automation or platforms in Python, Go, Rust, TypeScript or a comparable language.
Experience collaborating with Japanese automotive manufacturers, suppliers or mobility operators in a global engineering organisation.
People leadership is the first priority in this role. You will empower the team rather than micromanage, stay technically engaged without becoming the team’s bottleneck, and create an environment where concerns are raised early. We value blameless learning, measurable outcomes, direct but respectful feedback and pragmatic engineering that balances speed, safety and reliability.
This position is based in Japan and is not fully remote. The role requires regular presence with the team and fleet, occasional work outside standard office hours for critical operational events, and domestic or international travel as programme needs require. Specific working arrangements will be discussed during the hiring process.
Lead reliability at the point where advanced AI meets real vehicles, real roads and real customers.
Shape Japan’s operating model while influencing global fleet and platform engineering standards.
Work on problems spanning software, infrastructure, vehicle systems and operations, where reliability directly enables safe autonomy.
Join a mission-driven, international team with competitive compensation, equity and locally applicable benefits.
This is a full-time role based in our office in Yokohama, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWayve is looking for a hands-on Engineering Manager to lead the Japan team responsible for the reliability, safety and availability of our autonomous vehicle fleet. You will lead the Japan Fleet Reliability SRE team, collaborate closely with the separate Field Engineering organisation, own your team’s people, roadmap and reliability outcomes, and connect Japan’s real-world needs with global Vehicle Software engineering.\n\nThis is not a coordination-only role: you will stay close to incidents, designs, code and vehicle systems while building an organisation that can scale beyond any individual.\n\n\nKEY RESPONSIBILITIES\n\n - Build, coach and retain a high-performing, inclusive Japan Fleet Reliability SRE team with clear ownership and sustainable escalation coverage.\n\n - Maximise safe on-road time by improving fleet health, incident response, release reliability and operational readiness.\n\n - Turn recurring vehicle and software failure modes into durable engineering improvements, automation and measurable reliability targets.\n\n - Create a scalable operating model for new vehicle platforms, Gen 3 capabilities and future commercial fleet growth in Japan.\n\n - Represent Japan’s operational needs in global engineering priorities while bringing global standards and lessons back into local operations.\n\n\nWHAT YOU WILL DO\n\n\nLEAD AND DEVELOP THE TEAM\n\n - Own team engagement, performance, hiring, onboarding, development and retention; set clear expectations and provide timely, high-quality feedback.\n\n - Coach SREs through regular one-to-ones, growth plans and career conversations, addressing performance gaps early and fairly.\n\n - Plan team capacity and skills against the roadmap, assign the right people to the highest-value problems and maintain a sustainable on-call and support model.\n\n - Create psychological safety while holding a high bar for engineering quality, operational discipline, ownership and follow-through.\n\n - Lead the team through organisational, technical and programme change with clarity, empathy and decisiveness.\n\n\nOWN RELIABLE AND SAFE FLEET OPERATIONS\n\n - Be the accountable engineering escalation point for Japan fleet reliability, including high-severity incidents and operational risks.\n\n - Establish clear incident command, escalation and communication practices across Fleet Operations, Vehicle Safety Operators and engineering teams.\n\n - Improve detection, diagnosis and recovery for failures across vehicle compute, sensors, power, networking, software deployment, model delivery, data capture and offload workflows.\n\n - Ensure post-incident reviews are blameless, evidence-based and converted into owned corrective actions, preventive controls and reusable playbooks.\n\n - Maintain healthy on-call rotations, effective runbooks and clear handoffs across Japan, the United Kingdom and the United States.\n\n\nRAISE OPERATIONAL EXCELLENCE AND RELIABILITY ENGINEERING\n\n - Define and evolve service-level indicators, service-level objectives and error budgets for the fleet’s most important operational workflows.\n\n - Use fleet health, availability, incident, change-failure, recovery-time, data-quality and toil metrics to identify priorities and demonstrate improvement.\n\n - Set technical direction for observability, SLI/SLOs, production readiness, release safety, automation, remote diagnostics and fleet tooling; participate directly in design and code reviews and challenge failure assumptions.\n\n - Embed production-readiness, observability, safe change management, release validation and rollback expectations into systems used by the Japan fleet.\n\n - Balance immediate operational needs with technical debt reduction and long-term resilience.\n\n\nDELIVER JAPAN PROGRAMMES PREDICTABLY\n\n - Translate company and programme goals into a clear Japan Fleet Reliability roadmap, milestones, staffing plan, dependencies and measurable outcomes.\n\n - Partner with Vehicle Software, Fleet Operations, Field Engineering, VSI/Platform Integration, Vehicle Generalization, safety, infrastructure and programme teams to move new vehicles and capabilities into stable operations.\n\n - Drive operational readiness for new vehicle variants and capabilities, including commissioning, validation, release rollout, field support and handover into steady-state operations.\n\n - Identify technical, people and schedule risks early; make trade-offs explicit, escalate appropriately and keep stakeholders informed without creating unnecessary process.\n\n - Build strong, respectful relationships with Japanese OEMs, suppliers and operational partners where the role requires engineering coordination.\n\n\nBUILD SCALABLE TOOLING AND AUTOMATION\n\n - Guide the design and delivery of tools, services and APIs that improve fleet visibility, health monitoring, remote diagnosis, configuration, release safety and operational control.\n\n - Automate repetitive investigation, recovery and reporting workflows so fleet growth does not require linear headcount growth.\n\n - Ensure tooling supports auditable decisions, clear ownership and safe operation, with appropriate access controls and failure handling.\n\n - Create feedback loops that turn field observations and failure data into priorities for platform, vehicle and software engineering teams.\n\n\nCOMMUNICATE AND COLLABORATE ACROSS BOUNDARIES\n\n - Communicate clearly and promptly during incidents, programme reviews, planning and day-to-day collaboration across local and global teams.\n\n - Provide concise status, risk and decision updates to technical and non-technical stakeholders, adapting detail to the audience.\n\n - Clarify ownership and interfaces between Fleet Reliability SRE, Field Engineering, Fleet Operations, VSI/Platform Integration, Vehicle Generalization and other partner teams.\n\n - Represent the team’s roadmap and operational evidence in global forums, influence upstream roadmaps and mentor people beyond your direct team.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - A capable, engaged and accountable Japan Fleet Reliability SRE team with clear ownership, strong development plans and a sustainable support model.\n\n - Improving safe fleet availability, faster detection and recovery, fewer repeat incidents and more reliable software and model rollouts.\n\n - Critical workflows have useful SLIs and SLOs, and reliability investment is prioritised using operational evidence rather than anecdotes.\n\n - New vehicles and capabilities move from engineering bring-up to stable operations through repeatable readiness gates and clear handoffs.\n\n - Japan priorities and risks are visible early, dependencies are actively managed and committed roadmap outcomes are delivered predictably.\n\n - Automation and tooling measurably reduce manual work and enable the fleet to scale without proportional operational overhead.\n\n\nABOUT YOU\n\nEssential\n\n - Engineering-management experience with direct accountability for a software, SRE, platform, systems or similarly technical team.\n\n - A track record of leading and developing a team of approximately 5–10 engineers or similarly complex multidisciplinary groups.\n\n - Practical mastery of reliability engineering, observability, incident management, release and change safety, resilience and continuous improvement.\n\n - Strong engineering depth and current credibility in design review, debugging, automation, code review and production systems.\n\n - Experience owning roadmaps, resourcing, dependencies, technical trade-offs and measurable delivery outcomes.\n\n - Evidence of hiring, coaching, developing and managing performance while creating clarity, accountability and psychological safety.\n\n - Calm, structured judgement during incidents and the ability to communicate risk clearly to senior, technical and operational stakeholders.\n\n - Willingness to work regularly onsite in the Yokohama area and join an engineering escalation rotation.\n\n - Permission to work in Japan, or eligibility for employer-supported immigration where applicable to the final hiring plan.\n\nDesirable\n\n - Autonomous vehicles, robotics, automotive software, embedded or edge compute, safety-critical systems or large physical fleets.\n\n - Vehicle commissioning, compute or sensor integration, networking, diagnostics, data offload or over-the-air deployment.\n\n - Linux, cloud infrastructure, Kubernetes, telemetry pipelines, infrastructure as code and modern observability tooling.\n\n - Building internal automation or platforms in Python, Go, Rust, TypeScript or a comparable language.\n\n - Experience collaborating with Japanese automotive manufacturers, suppliers or mobility operators in a global engineering organisation.\n\n\nHOW WE WORK\n\nPeople leadership is the first priority in this role. You will empower the team rather than micromanage, stay technically engaged without becoming the team’s bottleneck, and create an environment where concerns are raised early. We value blameless learning, measurable outcomes, direct but respectful feedback and pragmatic engineering that balances speed, safety and reliability.\n\nThis position is based in Japan and is not fully remote. The role requires regular presence with the team and fleet, occasional work outside standard office hours for critical operational events, and domestic or international travel as programme needs require. Specific working arrangements will be discussed during the hiring process.\n\n\nWHY JOIN WAYVE\n\n - Lead reliability at the point where advanced AI meets real vehicles, real roads and real customers.\n\n - Shape Japan’s operating model while influencing global fleet and platform engineering standards.\n\n - Work on problems spanning software, infrastructure, vehicle systems and operations, where reliability directly enables safe autonomy.\n\n - Join a mission-driven, international team with competitive compensation, equity and locally applicable benefits.\n\n \n\nThis is a full-time role based in our office in Yokohama, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"e1a0c669-222a-4e5c-9d0e-9050f647ed3c","title":"Staff Robotics Engineer, 3D Sensing","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-03T17:43:23.524+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/e1a0c669-222a-4e5c-9d0e-9050f647ed3c","applyUrl":"https://jobs.ashbyhq.com/wayve/e1a0c669-222a-4e5c-9d0e-9050f647ed3c/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is seeking a Staff Robotics Engineer, 3D Sensing to lead the technical development of our LiDAR and cross-sensor 3D sensing capabilities. You will own the systems used to calibrate, synchronise and align LiDARs with cameras and other vehicle sensors, enabling accurate and reliable 3D data for perception, reconstruction and ground-truth generation.
This is a senior individual-contributor role with responsibility for shaping the architecture and technical roadmap for 3D sensing, while remaining deeply involved in algorithm development, implementation, evaluation and deployment. You will solve challenging problems arising from real sensor systems—including imperfect time synchronisation, rolling-shutter cameras and LiDAR sweep patterns—and develop robust methods that operate across diverse vehicles, environments and operating conditions. You will collaborate broadly across Wayve and provide technical leadership and mentorship across the 3D sensing stack.
Key responsibilities:
Define and evolve the technical architecture and roadmap for Wayve’s LiDAR and cross-sensor 3D sensing capabilities, aligned with product and vehicle-programme requirements.
Lead the development of target-based and targetless LiDAR calibration and registration methods, including LiDAR-to-camera alignment using geometric and learned approaches.
Develop robust temporal alignment and motion compensation methods using techniques such as LiDAR odometry, nonlinear least-squares optimisation and factor graphs.
Establish evaluation methodologies and productionise reliable, scalable 3D sensing systems that operate across diverse vehicles, environments and sensor configurations.
Work with engineering and research teams to deliver end-to-end 3D sensing capabilities, while providing technical leadership and mentorship to other engineers.
In order to set you up for success as a Staff Robotics Engineer, 3D Sensing at Wayve, we’re looking for the following skills and experience:
Essential
Significant experience developing robotics or autonomous-driving systems involving LiDAR, cameras and 3D sensor data.
Strong experience with target-based or targetless sensor calibration and registration, including LiDAR-to-camera alignment.
Strong understanding of 3D geometry, state estimation and optimisation techniques, including nonlinear least-squares methods or factor graphs.
Experience accounting for sensor timing and motion effects, such as time synchronisation, LiDAR sweep distortion, rolling-shutter cameras and motion compensation.
Strong software-engineering skills in C++ and/or Python, with experience taking robotics algorithms from prototype through evaluation and production deployment.
Experience defining evaluation methodologies, datasets and metrics for assessing calibration, registration and 3D sensing quality across real-world conditions.
Demonstrated technical leadership, including setting technical direction, solving ambiguous cross-functional problems and mentoring other engineers.
Desirable
Experience with LiDAR odometry, SLAM or mapping systems, including LiDAR motion compensation and deskewing.
Experience with metric-depth foundation models and their application to calibration, registration or 3D reconstruction.
Familiarity with learned feature correspondences, cross-modal registration, Gaussian splatting or other emerging 3D representations.
Experience handling dynamic scenes using object detection, motion segmentation or tracking methods.
Practical experience with optimisation libraries such as GTSAM, Ceres Solver or g2o.
This is a full-time role based in our office in London, UK or Sunnyvale, US. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWayve is seeking a Staff Robotics Engineer, 3D Sensing to lead the technical development of our LiDAR and cross-sensor 3D sensing capabilities. You will own the systems used to calibrate, synchronise and align LiDARs with cameras and other vehicle sensors, enabling accurate and reliable 3D data for perception, reconstruction and ground-truth generation.\n\nThis is a senior individual-contributor role with responsibility for shaping the architecture and technical roadmap for 3D sensing, while remaining deeply involved in algorithm development, implementation, evaluation and deployment. You will solve challenging problems arising from real sensor systems—including imperfect time synchronisation, rolling-shutter cameras and LiDAR sweep patterns—and develop robust methods that operate across diverse vehicles, environments and operating conditions. You will collaborate broadly across Wayve and provide technical leadership and mentorship across the 3D sensing stack.\n\nKey responsibilities:\n\n - Define and evolve the technical architecture and roadmap for Wayve’s LiDAR and cross-sensor 3D sensing capabilities, aligned with product and vehicle-programme requirements.\n\n - Lead the development of target-based and targetless LiDAR calibration and registration methods, including LiDAR-to-camera alignment using geometric and learned approaches.\n\n - Develop robust temporal alignment and motion compensation methods using techniques such as LiDAR odometry, nonlinear least-squares optimisation and factor graphs.\n\n - Establish evaluation methodologies and productionise reliable, scalable 3D sensing systems that operate across diverse vehicles, environments and sensor configurations.\n\n - Work with engineering and research teams to deliver end-to-end 3D sensing capabilities, while providing technical leadership and mentorship to other engineers.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Staff Robotics Engineer, 3D Sensing at Wayve, we’re looking for the following skills and experience:\n\nEssential \n\n - Significant experience developing robotics or autonomous-driving systems involving LiDAR, cameras and 3D sensor data.\n\n - Strong experience with target-based or targetless sensor calibration and registration, including LiDAR-to-camera alignment.\n\n - Strong understanding of 3D geometry, state estimation and optimisation techniques, including nonlinear least-squares methods or factor graphs.\n\n - Experience accounting for sensor timing and motion effects, such as time synchronisation, LiDAR sweep distortion, rolling-shutter cameras and motion compensation.\n\n - Strong software-engineering skills in C++ and/or Python, with experience taking robotics algorithms from prototype through evaluation and production deployment.\n\n - Experience defining evaluation methodologies, datasets and metrics for assessing calibration, registration and 3D sensing quality across real-world conditions.\n\n - Demonstrated technical leadership, including setting technical direction, solving ambiguous cross-functional problems and mentoring other engineers.\n\nDesirable \n\n - Experience with LiDAR odometry, SLAM or mapping systems, including LiDAR motion compensation and deskewing.\n\n - Experience with metric-depth foundation models and their application to calibration, registration or 3D reconstruction.\n\n - Familiarity with learned feature correspondences, cross-modal registration, Gaussian splatting or other emerging 3D representations.\n\n - Experience handling dynamic scenes using object detection, motion segmentation or tracking methods.\n\n - Practical experience with optimisation libraries such as GTSAM, Ceres Solver or g2o.\n\nThis is a full-time role based in our office in London, UK or Sunnyvale, US. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c38af8a1-a9aa-4250-a3a5-e86e02e2bf82","title":"Lead Technical Program Manager, AI Platform","department":"Engineering Operations and Programs","team":"Technical Program Management","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-04T08:59:03.422+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c38af8a1-a9aa-4250-a3a5-e86e02e2bf82","applyUrl":"https://jobs.ashbyhq.com/wayve/c38af8a1-a9aa-4250-a3a5-e86e02e2bf82/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As the Lead Technical Program Manager for AI Platform at Wayve, you'll build and lead the technical program management function for our AI Platform org - the data and compute infrastructure, model-development workflow tooling, training technology, compute management, and embedded / inference optimisation that get Wayve's models trained, iterated, and deployed onto the vehicle. This is the platform the whole company builds on.
You'll be the delivery partner to engineering leadership across AI Platform, driving predictable, high-leverage delivery of the systems that determine how fast Wayve can train and ship models. You'll lead flagship programs yourself while supporting and coaching a small, high-impact TPM team. Your impact is measured in developer velocity, compute efficiency and cost, training and inference performance, and how reliably the platform lands. A successful TPM leader is a force multiplier - helping teams move faster, more effectively, and with purpose.
Lead the function: Build, coach, and grow a small TPM team; hire to fill gaps and raise the bar.
Own platform delivery: Partner with AI Platform leadership on planning, prioritisation, and execution across the platform roadmap - data & compute infra, dev tooling, training tech, compute management, and embedded / inference.
Trusted partner for Engineering: You are a leader in the org. You will maintain the partnership with Engineering leaders to land big outcomes, pushing teams to land impact with high leverage and hold leaders to account.
Drive flagship programs directly: Data & compute infrastructure, model-development workflow and tooling, training technology, compute management, and embedded / inference optimisation.
Establish scalable practices: Planning cadences, governance, KPIs and dashboards, escalations and operational reviews.
Align cross-functionally: Work with ML / research, infrastructure, embedded / on-vehicle, and engineering teams (and cloud / vendor partners); manage dependencies, risk, and trade-offs.
Connect to outcomes and represent AI Platform: Tie delivery to developer velocity, compute efficiency and cost, and training / inference performance, and represent AI Platform in company-level reviews.
In order to set you up for success as a Lead Technical Program Manager, AI Platform at Wayve, we're looking for the following skills and experience.
Essential
8+ years in platform / infrastructure: Deep, hands-on experience delivering platform or infrastructure programs as a technical program manager - compute, ML infra, developer tooling, training or inference systems - including people and process leadership. You've built or scaled a program function and you get things done with ownership and a bias for action.
People leadership: You build, coach, and grow high-performing teams, and raise the bar on the craft.
Highly technical: Credible with engineers across ML infrastructure, compute, and embedded systems, even though you won't write production code. A genuinely technical TPM who can go deep with platform and systems engineers.
Strong understanding of Machine Learning, GPUs, and the training and inference of large (500M-20B+ parameter) models, plus the compute and orchestration that support them.
Embedded / on-vehicle systems experience - inference optimisation, model deployment to constrained edge / embedded compute, and the hardware-software trade-offs involved.
Familiar with compute management and ML platform tooling - e.g. Kubernetes, Ray, Flyte, Docker, cloud (Azure), Python - and model-development / experiment workflow tooling.
Proficient with AI Agents to accelerate execution: e.g. Cursor, Claude, Codex.
Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery.
Systems thinking: You reason about how the parts of a complex platform / systems stack fit together, and how a change in one area ripples into others.
Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.
Exceptional cross-functional leadership: You align and influence across ML / research, infrastructure, embedded, and engineering without relying on authority.
Strategic & business impact: You link platform investment to measurable outcomes - developer velocity, compute efficiency, cost, and model performance.
Clear, data-driven communicator: You set direction with clarity and steer with the right metrics.
Growth mindset: Open to feedback and always looking to improve.
Desirable
Working experience with a large-scale ML / compute platform used by 100s of engineers and researchers.
Embedded / edge inference, on-device model optimisation, or hardware-aware ML experience.
Background in autonomous vehicles, robotics, or another large-scale ML / infrastructure program.
An engineering or computer science degree, or experience working as an engineer.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs the Lead Technical Program Manager for AI Platform at Wayve, you'll build and lead the technical program management function for our AI Platform org - the data and compute infrastructure, model-development workflow tooling, training technology, compute management, and embedded / inference optimisation that get Wayve's models trained, iterated, and deployed onto the vehicle. This is the platform the whole company builds on.\n\nYou'll be the delivery partner to engineering leadership across AI Platform, driving predictable, high-leverage delivery of the systems that determine how fast Wayve can train and ship models. You'll lead flagship programs yourself while supporting and coaching a small, high-impact TPM team. Your impact is measured in developer velocity, compute efficiency and cost, training and inference performance, and how reliably the platform lands. A successful TPM leader is a force multiplier - helping teams move faster, more effectively, and with purpose.\n\n\nKEY RESPONSIBILITIES\n\n - Lead the function: Build, coach, and grow a small TPM team; hire to fill gaps and raise the bar.\n\n - Own platform delivery: Partner with AI Platform leadership on planning, prioritisation, and execution across the platform roadmap - data & compute infra, dev tooling, training tech, compute management, and embedded / inference.\n\n - Trusted partner for Engineering: You are a leader in the org. You will maintain the partnership with Engineering leaders to land big outcomes, pushing teams to land impact with high leverage and hold leaders to account.\n\n - Drive flagship programs directly: Data & compute infrastructure, model-development workflow and tooling, training technology, compute management, and embedded / inference optimisation.\n\n - Establish scalable practices: Planning cadences, governance, KPIs and dashboards, escalations and operational reviews.\n\n - Align cross-functionally: Work with ML / research, infrastructure, embedded / on-vehicle, and engineering teams (and cloud / vendor partners); manage dependencies, risk, and trade-offs.\n\n - Connect to outcomes and represent AI Platform: Tie delivery to developer velocity, compute efficiency and cost, and training / inference performance, and represent AI Platform in company-level reviews.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Lead Technical Program Manager, AI Platform at Wayve, we're looking for the following skills and experience.\n\nEssential\n\n - 8+ years in platform / infrastructure: Deep, hands-on experience delivering platform or infrastructure programs as a technical program manager - compute, ML infra, developer tooling, training or inference systems - including people and process leadership. You've built or scaled a program function and you get things done with ownership and a bias for action.\n\n - People leadership: You build, coach, and grow high-performing teams, and raise the bar on the craft.\n\n - Highly technical: Credible with engineers across ML infrastructure, compute, and embedded systems, even though you won't write production code. A genuinely technical TPM who can go deep with platform and systems engineers.\n \n - Strong understanding of Machine Learning, GPUs, and the training and inference of large (500M-20B+ parameter) models, plus the compute and orchestration that support them.\n \n - Embedded / on-vehicle systems experience - inference optimisation, model deployment to constrained edge / embedded compute, and the hardware-software trade-offs involved.\n \n - Familiar with compute management and ML platform tooling - e.g. Kubernetes, Ray, Flyte, Docker, cloud (Azure), Python - and model-development / experiment workflow tooling.\n \n - Proficient with AI Agents to accelerate execution: e.g. Cursor, Claude, Codex.\n\n - Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery.\n\n - Systems thinking: You reason about how the parts of a complex platform / systems stack fit together, and how a change in one area ripples into others.\n\n - Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.\n\n - Exceptional cross-functional leadership: You align and influence across ML / research, infrastructure, embedded, and engineering without relying on authority.\n\n - Strategic & business impact: You link platform investment to measurable outcomes - developer velocity, compute efficiency, cost, and model performance.\n\n - Clear, data-driven communicator: You set direction with clarity and steer with the right metrics.\n\n - Growth mindset: Open to feedback and always looking to improve.\n\nDesirable\n\n - Working experience with a large-scale ML / compute platform used by 100s of engineers and researchers.\n\n - Embedded / edge inference, on-device model optimisation, or hardware-aware ML experience.\n\n - Background in autonomous vehicles, robotics, or another large-scale ML / infrastructure program.\n\n - An engineering or computer science degree, or experience working as an engineer.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"65e3f202-6d1c-4cf8-bdca-9c65a5c59ef9","title":"Lead Technical Program Manager, Quality & Compliance ","department":"Engineering Operations and Programs","team":"Technical Program Management","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-04T08:59:18.670+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/65e3f202-6d1c-4cf8-bdca-9c65a5c59ef9","applyUrl":"https://jobs.ashbyhq.com/wayve/65e3f202-6d1c-4cf8-bdca-9c65a5c59ef9/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As the Lead Technical Program Manager for Quality & Compliance at Wayve, you'll build and lead the technical program management function that rolls out company-wide quality and compliance initiatives - spanning quality (including ASPICE), security, data privacy, and operational safety. This role reaches across the whole of Wayve: you'll turn complex, often heavyweight requirements into pragmatic, low-overhead processes that raise the bar without slowing the company down.
You'll lead flagship initiatives yourself while supporting and coaching a small, high-impact TPM team. Your impact is measured in how effectively Wayve meets its quality and compliance obligations - and how lightly those obligations sit on the organisation. A successful TPM leader is a force multiplier - helping teams move faster, more effectively, and with purpose.
Lead the function: Build, coach, and grow a small TPM team; hire to fill gaps and raise the bar.
Roll out company-wide compliance initiatives: Drive programs across quality (including ASPICE), security, data privacy, and operational safety - from framework to embedded practice.
Trusted partner across Wayve: A leader in the org, you partner with engineering, product, safety, security, privacy / legal, and operations leaders to land outcomes and hold the bar - influencing without authority at every level.
Make process simple and low-overhead: Design pragmatic, lightweight processes that meet the bar with minimal friction; negotiate must-haves vs nice-to-haves and find creative ways to meet long-standing requirements.
Establish scalable practices: Governance, KPIs and dashboards, audit readiness, escalations and operational reviews.
Align cross-functionally: Work across every part of Wayve - and external auditors / partners where relevant; manage dependencies, risk, and trade-offs.
Connect to outcomes and represent Quality & Compliance: Tie delivery to compliance status, audit readiness, risk reduction, and organisational efficiency, and represent quality & compliance in company-level reviews.
In order to set you up for success as a Lead Technical Program Manager, Quality & Compliance at Wayve, we're looking for the following skills and experience.
Essential
8+ years in quality / compliance / process programs: Deep, hands-on experience delivering quality, compliance, or process programs as a technical program manager - ideally spanning standards such as ASPICE, ISO, security, privacy, or safety - including people and process leadership. You've built or scaled a program function and you get things done with ownership and a bias for action.
People leadership: You build, coach, and grow high-performing teams, and raise the bar on the craft.
Pragmatic and creative: You negotiate must-haves vs nice-to-haves, and find creative ways to meet requirements that have long been done a certain way - keeping process simple and low-overhead rather than adding bureaucracy.
Exceptional communicator & influencer: This role crosses all of Wayve; you communicate with unusual clarity and influence without authority at every level, bringing people along.
Very good at process: You design simple, low-overhead processes that raise quality and keep the organisation efficient.
Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery.
Systems thinking: You reason about how the parts of a complex organisation and its processes fit together, and how a change in one area ripples into others.
Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.
Raises the bar without the drag: You strengthen quality and compliance while keeping the organisation efficient and fast-moving.
Strategic & business impact: You link quality and compliance investment to measurable outcomes - audit readiness, risk reduction, and efficiency.
Data-informed: You steer with the right metrics and evidence, and set direction with clarity.
Growth mindset: Open to feedback and always looking to improve.
Desirable
Working knowledge of automotive / safety-critical or security / privacy standards - e.g. Automotive SPICE (ASPICE), ISO 26262, SOTIF (ISO 21448), ISO 27001, or GDPR / data privacy.
Background in autonomous vehicles, robotics, or another regulated / safety-critical domain.
An engineering or computer science degree, or experience working as an engineer.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs the Lead Technical Program Manager for Quality & Compliance at Wayve, you'll build and lead the technical program management function that rolls out company-wide quality and compliance initiatives - spanning quality (including ASPICE), security, data privacy, and operational safety. This role reaches across the whole of Wayve: you'll turn complex, often heavyweight requirements into pragmatic, low-overhead processes that raise the bar without slowing the company down.\n\nYou'll lead flagship initiatives yourself while supporting and coaching a small, high-impact TPM team. Your impact is measured in how effectively Wayve meets its quality and compliance obligations - and how lightly those obligations sit on the organisation. A successful TPM leader is a force multiplier - helping teams move faster, more effectively, and with purpose.\n\n\nKEY RESPONSIBILITIES\n\n - Lead the function: Build, coach, and grow a small TPM team; hire to fill gaps and raise the bar.\n\n - Roll out company-wide compliance initiatives: Drive programs across quality (including ASPICE), security, data privacy, and operational safety - from framework to embedded practice.\n\n - Trusted partner across Wayve: A leader in the org, you partner with engineering, product, safety, security, privacy / legal, and operations leaders to land outcomes and hold the bar - influencing without authority at every level.\n\n - Make process simple and low-overhead: Design pragmatic, lightweight processes that meet the bar with minimal friction; negotiate must-haves vs nice-to-haves and find creative ways to meet long-standing requirements.\n\n - Establish scalable practices: Governance, KPIs and dashboards, audit readiness, escalations and operational reviews.\n\n - Align cross-functionally: Work across every part of Wayve - and external auditors / partners where relevant; manage dependencies, risk, and trade-offs.\n\n - Connect to outcomes and represent Quality & Compliance: Tie delivery to compliance status, audit readiness, risk reduction, and organisational efficiency, and represent quality & compliance in company-level reviews.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Lead Technical Program Manager, Quality & Compliance at Wayve, we're looking for the following skills and experience.\n\nEssential\n\n - 8+ years in quality / compliance / process programs: Deep, hands-on experience delivering quality, compliance, or process programs as a technical program manager - ideally spanning standards such as ASPICE, ISO, security, privacy, or safety - including people and process leadership. You've built or scaled a program function and you get things done with ownership and a bias for action.\n\n - People leadership: You build, coach, and grow high-performing teams, and raise the bar on the craft.\n\n - Pragmatic and creative: You negotiate must-haves vs nice-to-haves, and find creative ways to meet requirements that have long been done a certain way - keeping process simple and low-overhead rather than adding bureaucracy.\n\n - Exceptional communicator & influencer: This role crosses all of Wayve; you communicate with unusual clarity and influence without authority at every level, bringing people along.\n\n - Very good at process: You design simple, low-overhead processes that raise quality and keep the organisation efficient.\n\n - Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery.\n\n - Systems thinking: You reason about how the parts of a complex organisation and its processes fit together, and how a change in one area ripples into others.\n\n - Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.\n\n - Raises the bar without the drag: You strengthen quality and compliance while keeping the organisation efficient and fast-moving.\n\n - Strategic & business impact: You link quality and compliance investment to measurable outcomes - audit readiness, risk reduction, and efficiency.\n\n - Data-informed: You steer with the right metrics and evidence, and set direction with clarity.\n\n - Growth mindset: Open to feedback and always looking to improve.\n\nDesirable\n\n - Working knowledge of automotive / safety-critical or security / privacy standards - e.g. Automotive SPICE (ASPICE), ISO 26262, SOTIF (ISO 21448), ISO 27001, or GDPR / data privacy.\n\n - Background in autonomous vehicles, robotics, or another regulated / safety-critical domain.\n\n - An engineering or computer science degree, or experience working as an engineer.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"4373f3b1-ded5-4661-9d74-5f8a0c2f0426","title":"Technical Program Manager ","department":"Engineering Operations and Programs","team":"Technical Program Management","employmentType":"FullTime","location":"Herzliya, Israel","secondaryLocations":[],"publishedAt":"2026-09-03T14:46:01.310+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/4373f3b1-ded5-4661-9d74-5f8a0c2f0426","applyUrl":"https://jobs.ashbyhq.com/wayve/4373f3b1-ded5-4661-9d74-5f8a0c2f0426/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Technical Program Manager at Wayve, you'll lead complex, cross-functional programs across our engineering org - spanning AI, software, robotics, vehicle hardware and platforms, infrastructure, simulation, evaluation, validation, data, and product. You'll turn ambiguity into clear plans and keep multi-team delivery predictable in a fast-moving environment.
Working closely with engineering and cross-functional partners, your impact will be measured by your ability to deliver programs, drive efficiency, manage risk, and align execution with business goals. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.
We hire TPMs across several areas - for example AV engineering (robotics, perception, parking, ADAS), vehicle platforms (hardware, vehicle software, architecture), simulation, evaluation & validation, robotaxi, AI infrastructure, and data - and we'll explore the best fit with you through the process.
Drive project delivery: Own the project lifecycle and improve delivery outcomes through structured execution and coordination.
Boost efficiency: Identify bottlenecks, streamline workflows, and improve tooling and resource allocation to increase throughput.
Enable cross-team collaboration: Improve alignment across teams through effective communication, shared goals, and faster decisions.
Manage risk proactively: Anticipate issues, develop mitigation plans, and minimise impact on timelines and quality.
Keep stakeholders aligned: Engage regularly with internal stakeholders, manage expectations, and deliver on commitments.
Align with business goals: Ensure programs directly support Wayve's strategic priorities by making smart scope and resource decisions.
Champion continuous improvement: Lead retros, encourage feedback, and implement changes to improve processes, team dynamics, and outcomes.
We're looking for the following skills and experience.
Essential
Bias for action / program delivery: 5+ years leading complex, multi-team software or technology programs in fast-paced or early-stage environments. You get things done.
Technically strong: Comfortable working with engineers and reasoning about modern software, ML, and robotics stacks, even if you don't write code.
Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.
Stays neutral and adapts under pressure: Effective in high-tension, ambiguous situations; you flex your style to keep people aligned and moving.
Strong project management: Skilled at planning, prioritising, managing risk and dependencies, and adapting as things change.
Clear communicator: You explain complex ideas simply, surface risk early, listen well, and keep teams aligned.
Collaborative leader: You bring people together, influence without authority, and create a positive team culture.
Strategic thinking & problem-solving: You keep the bigger picture in mind, stay calm under pressure, and find creative solutions.
Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.
Growth mindset: Open to feedback and always looking to improve.
Desirable
Ideally 8+ years as a Technical Program Manager.
An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).
Exposure to autonomous vehicles, robotics, perception, vehicle hardware / embedded, ML, simulation / evaluation, or other safety-critical or compute-heavy domains.
This is a full-time role based in our London or Sunnyvale office. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Technical Program Manager at Wayve, you'll lead complex, cross-functional programs across our engineering org - spanning AI, software, robotics, vehicle hardware and platforms, infrastructure, simulation, evaluation, validation, data, and product. You'll turn ambiguity into clear plans and keep multi-team delivery predictable in a fast-moving environment.\n\nWorking closely with engineering and cross-functional partners, your impact will be measured by your ability to deliver programs, drive efficiency, manage risk, and align execution with business goals. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.\n\nWe hire TPMs across several areas - for example AV engineering (robotics, perception, parking, ADAS), vehicle platforms (hardware, vehicle software, architecture), simulation, evaluation & validation, robotaxi, AI infrastructure, and data - and we'll explore the best fit with you through the process.\n\n\nKEY RESPONSIBILITIES\n\n - Drive project delivery: Own the project lifecycle and improve delivery outcomes through structured execution and coordination.\n\n - Boost efficiency: Identify bottlenecks, streamline workflows, and improve tooling and resource allocation to increase throughput.\n\n - Enable cross-team collaboration: Improve alignment across teams through effective communication, shared goals, and faster decisions.\n\n - Manage risk proactively: Anticipate issues, develop mitigation plans, and minimise impact on timelines and quality.\n\n - Keep stakeholders aligned: Engage regularly with internal stakeholders, manage expectations, and deliver on commitments.\n\n - Align with business goals: Ensure programs directly support Wayve's strategic priorities by making smart scope and resource decisions.\n\n - Champion continuous improvement: Lead retros, encourage feedback, and implement changes to improve processes, team dynamics, and outcomes.\n\n\nABOUT YOU\n\nWe're looking for the following skills and experience.\n\nEssential\n\n - Bias for action / program delivery: 5+ years leading complex, multi-team software or technology programs in fast-paced or early-stage environments. You get things done.\n\n - Technically strong: Comfortable working with engineers and reasoning about modern software, ML, and robotics stacks, even if you don't write code.\n\n - Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.\n\n - Stays neutral and adapts under pressure: Effective in high-tension, ambiguous situations; you flex your style to keep people aligned and moving.\n\n - Strong project management: Skilled at planning, prioritising, managing risk and dependencies, and adapting as things change.\n\n - Clear communicator: You explain complex ideas simply, surface risk early, listen well, and keep teams aligned.\n\n - Collaborative leader: You bring people together, influence without authority, and create a positive team culture.\n\n - Strategic thinking & problem-solving: You keep the bigger picture in mind, stay calm under pressure, and find creative solutions.\n\n - Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.\n\n - Growth mindset: Open to feedback and always looking to improve.\n\nDesirable\n\n - Ideally 8+ years as a Technical Program Manager.\n\n - An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).\n\n - Exposure to autonomous vehicles, robotics, perception, vehicle hardware / embedded, ML, simulation / evaluation, or other safety-critical or compute-heavy domains.\n\nThis is a full-time role based in our London or Sunnyvale office. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.\n\n \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"e6d9ec56-8f34-45d1-aa59-7dc86c8d9c47","title":"Technical Program Manager ","department":"Engineering Operations and Programs","team":"Technical Program Management","employmentType":"FullTime","location":"Herzliya, Israel","secondaryLocations":[],"publishedAt":"2026-09-03T14:46:02.924+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/e6d9ec56-8f34-45d1-aa59-7dc86c8d9c47","applyUrl":"https://jobs.ashbyhq.com/wayve/e6d9ec56-8f34-45d1-aa59-7dc86c8d9c47/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Technical Program Manager at Wayve, you'll lead complex, cross-functional programs across our engineering org - spanning AI, software, robotics, vehicle hardware and platforms, infrastructure, simulation, evaluation, validation, data, and product. You'll turn ambiguity into clear plans and keep multi-team delivery predictable in a fast-moving environment.
Working closely with engineering and cross-functional partners, your impact will be measured by your ability to deliver programs, drive efficiency, manage risk, and align execution with business goals. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.
We hire TPMs across several areas - for example AV engineering (robotics, perception, parking, ADAS), vehicle platforms (hardware, vehicle software, architecture), simulation, evaluation & validation, robotaxi, AI infrastructure, and data - and we'll explore the best fit with you through the process.
Drive project delivery: Own the project lifecycle and improve delivery outcomes through structured execution and coordination.
Boost efficiency: Identify bottlenecks, streamline workflows, and improve tooling and resource allocation to increase throughput.
Enable cross-team collaboration: Improve alignment across teams through effective communication, shared goals, and faster decisions.
Manage risk proactively: Anticipate issues, develop mitigation plans, and minimise impact on timelines and quality.
Keep stakeholders aligned: Engage regularly with internal stakeholders, manage expectations, and deliver on commitments.
Align with business goals: Ensure programs directly support Wayve's strategic priorities by making smart scope and resource decisions.
Champion continuous improvement: Lead retros, encourage feedback, and implement changes to improve processes, team dynamics, and outcomes.
We're looking for the following skills and experience.
Essential
Bias for action / program delivery: 5+ years leading complex, multi-team software or technology programs in fast-paced or early-stage environments. You get things done.
Technically strong: Comfortable working with engineers and reasoning about modern software, ML, and robotics stacks, even if you don't write code.
Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.
Stays neutral and adapts under pressure: Effective in high-tension, ambiguous situations; you flex your style to keep people aligned and moving.
Strong project management: Skilled at planning, prioritising, managing risk and dependencies, and adapting as things change.
Clear communicator: You explain complex ideas simply, surface risk early, listen well, and keep teams aligned.
Collaborative leader: You bring people together, influence without authority, and create a positive team culture.
Strategic thinking & problem-solving: You keep the bigger picture in mind, stay calm under pressure, and find creative solutions.
Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.
Growth mindset: Open to feedback and always looking to improve.
Desirable
Ideally 8+ years as a Technical Program Manager.
An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).
Exposure to autonomous vehicles, robotics, perception, vehicle hardware / embedded, ML, simulation / evaluation, or other safety-critical or compute-heavy domains.
This is a full-time role based in our London or Sunnyvale office. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Technical Program Manager at Wayve, you'll lead complex, cross-functional programs across our engineering org - spanning AI, software, robotics, vehicle hardware and platforms, infrastructure, simulation, evaluation, validation, data, and product. You'll turn ambiguity into clear plans and keep multi-team delivery predictable in a fast-moving environment.\n\nWorking closely with engineering and cross-functional partners, your impact will be measured by your ability to deliver programs, drive efficiency, manage risk, and align execution with business goals. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.\n\nWe hire TPMs across several areas - for example AV engineering (robotics, perception, parking, ADAS), vehicle platforms (hardware, vehicle software, architecture), simulation, evaluation & validation, robotaxi, AI infrastructure, and data - and we'll explore the best fit with you through the process.\n\n\nKEY RESPONSIBILITIES\n\n - Drive project delivery: Own the project lifecycle and improve delivery outcomes through structured execution and coordination.\n\n - Boost efficiency: Identify bottlenecks, streamline workflows, and improve tooling and resource allocation to increase throughput.\n\n - Enable cross-team collaboration: Improve alignment across teams through effective communication, shared goals, and faster decisions.\n\n - Manage risk proactively: Anticipate issues, develop mitigation plans, and minimise impact on timelines and quality.\n\n - Keep stakeholders aligned: Engage regularly with internal stakeholders, manage expectations, and deliver on commitments.\n\n - Align with business goals: Ensure programs directly support Wayve's strategic priorities by making smart scope and resource decisions.\n\n - Champion continuous improvement: Lead retros, encourage feedback, and implement changes to improve processes, team dynamics, and outcomes.\n\n\nABOUT YOU\n\nWe're looking for the following skills and experience.\n\nEssential\n\n - Bias for action / program delivery: 5+ years leading complex, multi-team software or technology programs in fast-paced or early-stage environments. You get things done.\n\n - Technically strong: Comfortable working with engineers and reasoning about modern software, ML, and robotics stacks, even if you don't write code.\n\n - Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.\n\n - Stays neutral and adapts under pressure: Effective in high-tension, ambiguous situations; you flex your style to keep people aligned and moving.\n\n - Strong project management: Skilled at planning, prioritising, managing risk and dependencies, and adapting as things change.\n\n - Clear communicator: You explain complex ideas simply, surface risk early, listen well, and keep teams aligned.\n\n - Collaborative leader: You bring people together, influence without authority, and create a positive team culture.\n\n - Strategic thinking & problem-solving: You keep the bigger picture in mind, stay calm under pressure, and find creative solutions.\n\n - Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.\n\n - Growth mindset: Open to feedback and always looking to improve.\n\nDesirable\n\n - Ideally 8+ years as a Technical Program Manager.\n\n - An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).\n\n - Exposure to autonomous vehicles, robotics, perception, vehicle hardware / embedded, ML, simulation / evaluation, or other safety-critical or compute-heavy domains.\n\nThis is a full-time role based in our London or Sunnyvale office. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.\n\n \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"22d462dd-4884-4132-a483-f9cbed9fe08a","title":"Technical Program Manager ","department":"Engineering Operations and Programs","team":"Technical Program Management","employmentType":"FullTime","location":"Herzliya, Israel","secondaryLocations":[],"publishedAt":"2026-09-03T14:46:04.592+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/22d462dd-4884-4132-a483-f9cbed9fe08a","applyUrl":"https://jobs.ashbyhq.com/wayve/22d462dd-4884-4132-a483-f9cbed9fe08a/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Technical Program Manager at Wayve, you'll lead complex, cross-functional programs across our engineering org - spanning AI, software, robotics, vehicle hardware and platforms, infrastructure, simulation, evaluation, validation, data, and product. You'll turn ambiguity into clear plans and keep multi-team delivery predictable in a fast-moving environment.
Working closely with engineering and cross-functional partners, your impact will be measured by your ability to deliver programs, drive efficiency, manage risk, and align execution with business goals. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.
We hire TPMs across several areas - for example AV engineering (robotics, perception, parking, ADAS), vehicle platforms (hardware, vehicle software, architecture), simulation, evaluation & validation, robotaxi, AI infrastructure, and data - and we'll explore the best fit with you through the process.
Drive project delivery: Own the project lifecycle and improve delivery outcomes through structured execution and coordination.
Boost efficiency: Identify bottlenecks, streamline workflows, and improve tooling and resource allocation to increase throughput.
Enable cross-team collaboration: Improve alignment across teams through effective communication, shared goals, and faster decisions.
Manage risk proactively: Anticipate issues, develop mitigation plans, and minimise impact on timelines and quality.
Keep stakeholders aligned: Engage regularly with internal stakeholders, manage expectations, and deliver on commitments.
Align with business goals: Ensure programs directly support Wayve's strategic priorities by making smart scope and resource decisions.
Champion continuous improvement: Lead retros, encourage feedback, and implement changes to improve processes, team dynamics, and outcomes.
We're looking for the following skills and experience.
Essential
Bias for action / program delivery: 5+ years leading complex, multi-team software or technology programs in fast-paced or early-stage environments. You get things done.
Technically strong: Comfortable working with engineers and reasoning about modern software, ML, and robotics stacks, even if you don't write code.
Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.
Stays neutral and adapts under pressure: Effective in high-tension, ambiguous situations; you flex your style to keep people aligned and moving.
Strong project management: Skilled at planning, prioritising, managing risk and dependencies, and adapting as things change.
Clear communicator: You explain complex ideas simply, surface risk early, listen well, and keep teams aligned.
Collaborative leader: You bring people together, influence without authority, and create a positive team culture.
Strategic thinking & problem-solving: You keep the bigger picture in mind, stay calm under pressure, and find creative solutions.
Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.
Growth mindset: Open to feedback and always looking to improve.
Desirable
Ideally 8+ years as a Technical Program Manager.
An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).
Exposure to autonomous vehicles, robotics, perception, vehicle hardware / embedded, ML, simulation / evaluation, or other safety-critical or compute-heavy domains.
This is a full-time role based in our Tel Aviv office. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Technical Program Manager at Wayve, you'll lead complex, cross-functional programs across our engineering org - spanning AI, software, robotics, vehicle hardware and platforms, infrastructure, simulation, evaluation, validation, data, and product. You'll turn ambiguity into clear plans and keep multi-team delivery predictable in a fast-moving environment.\n\nWorking closely with engineering and cross-functional partners, your impact will be measured by your ability to deliver programs, drive efficiency, manage risk, and align execution with business goals. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.\n\nWe hire TPMs across several areas - for example AV engineering (robotics, perception, parking, ADAS), vehicle platforms (hardware, vehicle software, architecture), simulation, evaluation & validation, robotaxi, AI infrastructure, and data - and we'll explore the best fit with you through the process.\n\n\nKEY RESPONSIBILITIES\n\n - Drive project delivery: Own the project lifecycle and improve delivery outcomes through structured execution and coordination.\n\n - Boost efficiency: Identify bottlenecks, streamline workflows, and improve tooling and resource allocation to increase throughput.\n\n - Enable cross-team collaboration: Improve alignment across teams through effective communication, shared goals, and faster decisions.\n\n - Manage risk proactively: Anticipate issues, develop mitigation plans, and minimise impact on timelines and quality.\n\n - Keep stakeholders aligned: Engage regularly with internal stakeholders, manage expectations, and deliver on commitments.\n\n - Align with business goals: Ensure programs directly support Wayve's strategic priorities by making smart scope and resource decisions.\n\n - Champion continuous improvement: Lead retros, encourage feedback, and implement changes to improve processes, team dynamics, and outcomes.\n\n\nABOUT YOU\n\nWe're looking for the following skills and experience.\n\nEssential\n\n - Bias for action / program delivery: 5+ years leading complex, multi-team software or technology programs in fast-paced or early-stage environments. You get things done.\n\n - Technically strong: Comfortable working with engineers and reasoning about modern software, ML, and robotics stacks, even if you don't write code.\n\n - Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.\n\n - Stays neutral and adapts under pressure: Effective in high-tension, ambiguous situations; you flex your style to keep people aligned and moving.\n\n - Strong project management: Skilled at planning, prioritising, managing risk and dependencies, and adapting as things change.\n\n - Clear communicator: You explain complex ideas simply, surface risk early, listen well, and keep teams aligned.\n\n - Collaborative leader: You bring people together, influence without authority, and create a positive team culture.\n\n - Strategic thinking & problem-solving: You keep the bigger picture in mind, stay calm under pressure, and find creative solutions.\n\n - Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.\n\n - Growth mindset: Open to feedback and always looking to improve.\n\nDesirable\n\n - Ideally 8+ years as a Technical Program Manager.\n\n - An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).\n\n - Exposure to autonomous vehicles, robotics, perception, vehicle hardware / embedded, ML, simulation / evaluation, or other safety-critical or compute-heavy domains.\n\nThis is a full-time role based in our Tel Aviv office. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.\n\n \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"d7fefd65-f6b7-4262-923f-879fe56a4203","title":"Vice President, AI Data ","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-03T15:22:41.032+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/d7fefd65-f6b7-4262-923f-879fe56a4203","applyUrl":"https://jobs.ashbyhq.com/wayve/d7fefd65-f6b7-4262-923f-879fe56a4203/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
At Wayve, we are building AI that learns to drive from experience.
We do not hand-code cars to drive. We train our models from data gathered across the real world, making our ability to identify, understand and learn from the right data fundamental to everything we build.
We are looking for a VP of AI Data to lead the data strategy behind our autonomous driving technology.
This is a senior engineering leadership role with end-to-end ownership of how Wayve uses data to improve our AI. You will determine what data we need, how we acquire it, how we understand and enrich it, and ultimately how we turn it into measurable improvements in model performance.
The scale and shape of the problem is unique. Our data comes from our own vehicles, OEM programmes, partners and external sources, spanning different vehicles, sensors, markets and driving environments. Within that corpus, the most valuable examples are often the hardest to find: rare behaviours, unusual interactions, safety-critical events and the long tail of real-world driving.
Your job is not simply to build the systems that process this data. It is to decide what data matters and why, and build the strategy, organisation and learning loop that allows Wayve to learn from it faster.
You will lead Wayve’s Data organisation and provide senior ownership for data within Engineering, partnering closely across AI, Science, Validation, Product, Compute and our commercial teams.
Key Responsibilities
Own Wayve’s data strategy: Set the strategy across the complete AI learning cycle, determining what data we need and how it should drive model performance, from foundation model training through specialised driving capabilities and production programmes.
Build the data flywheel: Own the learning loop from real-world signals and model behaviour through data discovery, curation and enrichment into training, evaluation, deployment and measurement.
Find the data that matters: Develop intelligent approaches to discovering rare, surprising and safety-critical scenarios within extremely large datasets, using techniques such as embeddings, semantic search, learned representations and model-driven data selection.
Lead data acquisition and enrichment: Define how Wayve collects, buys, generates and enriches data across our own fleet, OEM programmes, partners and external sources, balancing coverage, quality, speed and economics.
Connect data investment to model performance: Establish how we measure the value of data and make rigorous trade-offs across quality, accuracy, speed, cost and scale, ensuring investment is focused where it creates the greatest impact.
Scale our data strategy globally: Build an approach that supports multiple OEMs, vehicle platforms, sensor configurations, geographies and regulatory environments while maintaining a scalable global architecture.
Build and lead the organisation: Lead and develop a high-performing, multidisciplinary Data organisation, partnering closely with AI, Science, Validation, Product, Compute, Finance and Commercial teams.
About You
You are a senior technical leader who has operated at the intersection of AI, data and large-scale model development.
You can set direction in ambiguity and make high-quality decisions without perfect information. You are equally comfortable going deep into the characteristics and value of a dataset, challenging how a team measures model improvement, making significant investment decisions, or defining how an organisation should operate.
You have strong technical judgement, but think about data through the impact it has on the intelligence and performance of the system, rather than simply the infrastructure required to store and process it.
You can hold the full system in your head while still going deep on the details that matter.
Essential
Significant engineering leadership experience, with a track record of building and leading high-performing technical organisations.
Deep technical expertise in computer vision, video, multimodal AI or related perception problems.
Experience leading large-scale data capabilities that directly influence model training, evaluation and performance.
Strong intuition for what makes data valuable, with experience in data discovery, selection, curation and enrichment at scale.
Strong technical and commercial judgement, including making trade-offs across quality, speed, cost, scale and build-versus-partner decisions.
Ability to move between strategy and technical detail, set direction in ambiguity, and influence effectively across senior technical and business stakeholders.
Desirable
Experience in one or more of the following areas would be a strong advantage:
Autonomous driving, robotics or embodied AI.
Large-scale video, multimodal or foundation model training.
Semantic search, embeddings, active learning, auto-labelling or other approaches to intelligent data selection and enrichment.
Large-scale real-world data acquisition across fleets, customers, partners or multiple geographies.
This is a full-time role based in either our in Sunnyvale or London office. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
LA1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAt Wayve, we are building AI that learns to drive from experience.\n\nWe do not hand-code cars to drive. We train our models from data gathered across the real world, making our ability to identify, understand and learn from the right data fundamental to everything we build.\n\nWe are looking for a VP of AI Data to lead the data strategy behind our autonomous driving technology.\n\nThis is a senior engineering leadership role with end-to-end ownership of how Wayve uses data to improve our AI. You will determine what data we need, how we acquire it, how we understand and enrich it, and ultimately how we turn it into measurable improvements in model performance.\n\nThe scale and shape of the problem is unique. Our data comes from our own vehicles, OEM programmes, partners and external sources, spanning different vehicles, sensors, markets and driving environments. Within that corpus, the most valuable examples are often the hardest to find: rare behaviours, unusual interactions, safety-critical events and the long tail of real-world driving.\n\nYour job is not simply to build the systems that process this data. It is to decide what data matters and why, and build the strategy, organisation and learning loop that allows Wayve to learn from it faster.\n\nYou will lead Wayve’s Data organisation and provide senior ownership for data within Engineering, partnering closely across AI, Science, Validation, Product, Compute and our commercial teams.\n\nKey Responsibilities\n\n - Own Wayve’s data strategy: Set the strategy across the complete AI learning cycle, determining what data we need and how it should drive model performance, from foundation model training through specialised driving capabilities and production programmes.\n\n - Build the data flywheel: Own the learning loop from real-world signals and model behaviour through data discovery, curation and enrichment into training, evaluation, deployment and measurement.\n\n - Find the data that matters: Develop intelligent approaches to discovering rare, surprising and safety-critical scenarios within extremely large datasets, using techniques such as embeddings, semantic search, learned representations and model-driven data selection.\n\n - Lead data acquisition and enrichment: Define how Wayve collects, buys, generates and enriches data across our own fleet, OEM programmes, partners and external sources, balancing coverage, quality, speed and economics.\n\n - Connect data investment to model performance: Establish how we measure the value of data and make rigorous trade-offs across quality, accuracy, speed, cost and scale, ensuring investment is focused where it creates the greatest impact.\n\n - Scale our data strategy globally: Build an approach that supports multiple OEMs, vehicle platforms, sensor configurations, geographies and regulatory environments while maintaining a scalable global architecture.\n\n - Build and lead the organisation: Lead and develop a high-performing, multidisciplinary Data organisation, partnering closely with AI, Science, Validation, Product, Compute, Finance and Commercial teams.\n\nAbout You\n\nYou are a senior technical leader who has operated at the intersection of AI, data and large-scale model development.\n\nYou can set direction in ambiguity and make high-quality decisions without perfect information. You are equally comfortable going deep into the characteristics and value of a dataset, challenging how a team measures model improvement, making significant investment decisions, or defining how an organisation should operate.\n\nYou have strong technical judgement, but think about data through the impact it has on the intelligence and performance of the system, rather than simply the infrastructure required to store and process it.\n\nYou can hold the full system in your head while still going deep on the details that matter.\n\nEssential\n\n - Significant engineering leadership experience, with a track record of building and leading high-performing technical organisations.\n\n - Deep technical expertise in computer vision, video, multimodal AI or related perception problems.\n\n - Experience leading large-scale data capabilities that directly influence model training, evaluation and performance.\n\n - Strong intuition for what makes data valuable, with experience in data discovery, selection, curation and enrichment at scale.\n\n - Strong technical and commercial judgement, including making trade-offs across quality, speed, cost, scale and build-versus-partner decisions.\n\n - Ability to move between strategy and technical detail, set direction in ambiguity, and influence effectively across senior technical and business stakeholders.\n\nDesirable\n\nExperience in one or more of the following areas would be a strong advantage:\n\n - Autonomous driving, robotics or embodied AI.\n\n - Large-scale video, multimodal or foundation model training.\n\n - Semantic search, embeddings, active learning, auto-labelling or other approaches to intelligent data selection and enrichment.\n\n - Large-scale real-world data acquisition across fleets, customers, partners or multiple geographies.\n\nThis is a full-time role based in either our in Sunnyvale or London office. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\nLA1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"a906fe14-3fe9-4fb3-98cc-02eff5c3e546","title":"Senior Forensics Engineer","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-03T18:46:59.272+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/a906fe14-3fe9-4fb3-98cc-02eff5c3e546","applyUrl":"https://jobs.ashbyhq.com/wayve/a906fe14-3fe9-4fb3-98cc-02eff5c3e546/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As an Autonomous Driving Forensics Engineer in our Detectives team, part of the Model Integration and Release group, you will investigate issues that arise across the full Wayve AV stack. Working closely with teams across the business, you will identify root causes efficiently, test solutions thoroughly, and provide actionable insight that improves overall AV performance.
Your role sits at the heart of performance improvement, identifying systemic issues within the full end-to-end stack of our AV vehicles. To do so you will work cross-functionally, interacting with all areas of the business, from hardware and software engineers to roboticists, platform developers, model development and operational teams.
We're looking for someone curious, pragmatic, and system-minded: a broad thinker who is comfortable operating with limited information, thrives outside their comfort zone, and lets facts and data drive their conclusions. Just as important is the ability to communicate clearly and build strong working relationships across teams, bringing people with you as you work towards an answer.
Key responsibilities:
Issue investigation & root cause analysis: Triage on-road data and conduct deep dives into recurring issues, identifying patterns across the fleet to pinpoint root causes across the robot, model, or software.
Data analysis & communication: Analyse data and communicate insights clearly, using dashboards and/or visualisations to make complex issues easy for others to understand and act on.
Cross-functional collaboration: Work closely with engineering, model development, operations, and safety teams, including taking rides in the vehicles, to understand issues and partner with system owners through to a resolution.
Process & automation: Develop automated workflows and investigation playbooks that improve turnaround time and enable faster testing cycles.
Simulation & testing: Leverage simulation and other offline tools to reproduce and debug issues, minimising the need for fleet resources.
Breadth of work: Provide investigative and systems engineering support across a broad and evolving range of problems, from new vehicle platforms to emerging programmes and release testing, as the technology and fleet grow.
Incident response: Investigate on-road incidents to establish what happened and why, feeding lessons back to the relevant teams and strengthening our wider safety culture.
In order to set you up for success as an Autonomous Driving Forensics Engineer at Wayve, we're looking for the following skills and experience.
Essential
3+ years working with complex systems for robotics, autonomous vehicles, or comparable engineered systems.
Excellent critical thinking and problem-solving skills to identify and resolve complex issues within robotics and AI systems.
A systems-thinking mindset, comfortable investigating across the full stack, spanning hardware, software, and models.
Prior experience designing real-world experiments to prove or disprove hypotheses.
Great communication skills, able to explain complex technical problems to both technical and non-technical stakeholders.
Experienced with writing Python, particularly for data analysis; confident in writing scripts for a wide variety of analytic use cases, leveraging AI tools to work more efficiently.
A track record of influencing team and company direction through your findings.
A safety-conscious mindset, alert to when an issue carries safety implications and comfortable raising it.
Desirable
Practical experience applying and evaluating machine learning models.
Experience working with safety-critical systems.
Experience in the automotive, robotics, or AI industries.
A track record of promoting statistical rigour and experimental best practices in your prior roles.
Experience working in a fast-moving tech company or startup.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
Competitive compensation and benefits
A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too
A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day
Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets
At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $238,250, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs an Autonomous Driving Forensics Engineer in our Detectives team, part of the Model Integration and Release group, you will investigate issues that arise across the full Wayve AV stack. Working closely with teams across the business, you will identify root causes efficiently, test solutions thoroughly, and provide actionable insight that improves overall AV performance.\n\nYour role sits at the heart of performance improvement, identifying systemic issues within the full end-to-end stack of our AV vehicles. To do so you will work cross-functionally, interacting with all areas of the business, from hardware and software engineers to roboticists, platform developers, model development and operational teams.\n\nWe're looking for someone curious, pragmatic, and system-minded: a broad thinker who is comfortable operating with limited information, thrives outside their comfort zone, and lets facts and data drive their conclusions. Just as important is the ability to communicate clearly and build strong working relationships across teams, bringing people with you as you work towards an answer.\n\n \n\nKey responsibilities:\n\n - Issue investigation & root cause analysis: Triage on-road data and conduct deep dives into recurring issues, identifying patterns across the fleet to pinpoint root causes across the robot, model, or software.\n\n - Data analysis & communication: Analyse data and communicate insights clearly, using dashboards and/or visualisations to make complex issues easy for others to understand and act on.\n\n - Cross-functional collaboration: Work closely with engineering, model development, operations, and safety teams, including taking rides in the vehicles, to understand issues and partner with system owners through to a resolution.\n\n - Process & automation: Develop automated workflows and investigation playbooks that improve turnaround time and enable faster testing cycles.\n\n - Simulation & testing: Leverage simulation and other offline tools to reproduce and debug issues, minimising the need for fleet resources.\n\n - Breadth of work: Provide investigative and systems engineering support across a broad and evolving range of problems, from new vehicle platforms to emerging programmes and release testing, as the technology and fleet grow.\n\n - Incident response: Investigate on-road incidents to establish what happened and why, feeding lessons back to the relevant teams and strengthening our wider safety culture.\n\n \n\n\nABOUT YOU\n\nIn order to set you up for success as an Autonomous Driving Forensics Engineer at Wayve, we're looking for the following skills and experience.\n\nEssential\n\n - 3+ years working with complex systems for robotics, autonomous vehicles, or comparable engineered systems.\n\n - Excellent critical thinking and problem-solving skills to identify and resolve complex issues within robotics and AI systems.\n\n - A systems-thinking mindset, comfortable investigating across the full stack, spanning hardware, software, and models.\n\n - Prior experience designing real-world experiments to prove or disprove hypotheses.\n\n - Great communication skills, able to explain complex technical problems to both technical and non-technical stakeholders.\n\n - Experienced with writing Python, particularly for data analysis; confident in writing scripts for a wide variety of analytic use cases, leveraging AI tools to work more efficiently.\n\n - A track record of influencing team and company direction through your findings.\n\n - A safety-conscious mindset, alert to when an issue carries safety implications and comfortable raising it.\n\n \n\nDesirable\n\n - Practical experience applying and evaluating machine learning models.\n\n - Experience working with safety-critical systems.\n\n - Experience in the automotive, robotics, or AI industries.\n\n - A track record of promoting statistical rigour and experimental best practices in your prior roles.\n\n - Experience working in a fast-moving tech company or startup.\n\nWe understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.\n\n \n\n\nWHAT WE OFFER YOU\n\n - The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact\n\n - Competitive compensation and benefits\n\n - A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too\n\n - A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day\n\n - Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets\n\n - At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $238,250, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"6a0128d0-2522-4cc4-a1c4-93af7340a3ad","title":"Staff Robotics Engineer, Localisation","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-03T19:46:10.297+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/6a0128d0-2522-4cc4-a1c4-93af7340a3ad","applyUrl":"https://jobs.ashbyhq.com/wayve/6a0128d0-2522-4cc4-a1c4-93af7340a3ad/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is seeking a Staff Robotics Engineer, Localisation to lead the technical development of our onboard localisation capability. You will design and productionise state-estimation systems that combine GNSS, IMU and wheel odometry to provide accurate, reliable vehicle motion and pose estimates across diverse vehicles, environments and operating conditions.
This is a senior individual-contributor role with responsibility for shaping the localisation architecture and technical roadmap, while remaining deeply involved in algorithm development, implementation, validation and onboard deployment. You will work across robotics, calibration, controls, sensor, vehicle-platform and embedded-software teams to ensure localisation is robust, observable and suitable for real-time production use. You will also provide technical leadership and mentorship to engineers working across localisation and the broader state-estimation stack.
Key responsibilities:
Define and evolve the technical architecture and roadmap for Wayve’s onboard localisation capability, aligned with vehicle programmes and product requirements.
Lead the development of robust state-estimation systems that fuse GNSS, IMU and wheel-odometry signals, with scope to incorporate camera-, RADAR- and LiDAR-based measurements.
Take localisation solutions from algorithm design and prototyping through production implementation and deployment on real-time vehicle platforms, including robust fault handling and degraded-mode behaviour.
Develop rigorous validation and benchmarking capabilities, including representative datasets, ground-truth comparisons, performance metrics and regression testing across diverse vehicles, environments and operating conditions.
Provide hands-on technical leadership and mentorship, working across robotics, calibration, controls, sensors and vehicle-platform teams to drive integration and resolve complex system-level issues.
In order to set you up for success as a Staff Robotics Engineer, Localisation at Wayve, we’re looking for the following skills and experience.
Essential
Deep practical expertise in localisation, state estimation or sensor fusion, with experience combining GNSS, IMU and wheel-odometry measurements.
Strong understanding of filtering-based estimation methods, including Kalman-family filters such as the EKF or UKF, and nonlinear optimisation approaches such as factor graphs.
Experience developing and operating localisation or state-estimation systems in production robotics, autonomous vehicles or comparable real-time systems.
Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis, validation and test tooling.
Experience designing rigorous localisation validation and benchmarking, including accuracy metrics, uncertainty evaluation, ground-truth comparison, regression testing and failure analysis.
Evidence of hands-on technical leadership, including defining architecture, influencing technical roadmaps, mentoring engineers and collaborating effectively across multiple teams.
Desirable
Experience incorporating camera-, LiDAR- or RADAR-based measurements into localisation and sensor-fusion systems, including visual, LiDAR or RADAR odometry.
Hands-on experience with nonlinear optimisation and robotics libraries such as GTSAM, Ceres or g2o.
Familiarity with automotive software-development practices and coding standards, including MISRA C++.
Experience deploying state-estimation software on embedded or resource-constrained platforms with real-time compute, memory and latency requirements.
Experience developing high-quality ground truth, benchmarks and validation evidence for localisation or other state-estimation systems.
Familiarity with relevant robotics tooling and libraries such as ROS, Eigen, OpenCV, PCL or CUDA.
MS or PhD in Robotics, Computer Science, Electrical Engineering or a related field, or equivalent practical experience.
This is a full-time role based in our office in London, UK. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nWayve is seeking a Staff Robotics Engineer, Localisation to lead the technical development of our onboard localisation capability. You will design and productionise state-estimation systems that combine GNSS, IMU and wheel odometry to provide accurate, reliable vehicle motion and pose estimates across diverse vehicles, environments and operating conditions.\n\nThis is a senior individual-contributor role with responsibility for shaping the localisation architecture and technical roadmap, while remaining deeply involved in algorithm development, implementation, validation and onboard deployment. You will work across robotics, calibration, controls, sensor, vehicle-platform and embedded-software teams to ensure localisation is robust, observable and suitable for real-time production use. You will also provide technical leadership and mentorship to engineers working across localisation and the broader state-estimation stack.\n\n \n\nKey responsibilities:\n\n - Define and evolve the technical architecture and roadmap for Wayve’s onboard localisation capability, aligned with vehicle programmes and product requirements.\n\n - Lead the development of robust state-estimation systems that fuse GNSS, IMU and wheel-odometry signals, with scope to incorporate camera-, RADAR- and LiDAR-based measurements.\n\n - Take localisation solutions from algorithm design and prototyping through production implementation and deployment on real-time vehicle platforms, including robust fault handling and degraded-mode behaviour.\n\n - Develop rigorous validation and benchmarking capabilities, including representative datasets, ground-truth comparisons, performance metrics and regression testing across diverse vehicles, environments and operating conditions.\n\n - Provide hands-on technical leadership and mentorship, working across robotics, calibration, controls, sensors and vehicle-platform teams to drive integration and resolve complex system-level issues.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Staff Robotics Engineer, Localisation at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Deep practical expertise in localisation, state estimation or sensor fusion, with experience combining GNSS, IMU and wheel-odometry measurements.\n\n - Strong understanding of filtering-based estimation methods, including Kalman-family filters such as the EKF or UKF, and nonlinear optimisation approaches such as factor graphs.\n\n - Experience developing and operating localisation or state-estimation systems in production robotics, autonomous vehicles or comparable real-time systems.\n\n - Strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis, validation and test tooling.\n\n - Experience designing rigorous localisation validation and benchmarking, including accuracy metrics, uncertainty evaluation, ground-truth comparison, regression testing and failure analysis.\n\n - Evidence of hands-on technical leadership, including defining architecture, influencing technical roadmaps, mentoring engineers and collaborating effectively across multiple teams.\n\nDesirable \n\n - Experience incorporating camera-, LiDAR- or RADAR-based measurements into localisation and sensor-fusion systems, including visual, LiDAR or RADAR odometry.\n\n - Hands-on experience with nonlinear optimisation and robotics libraries such as GTSAM, Ceres or g2o.\n\n - Familiarity with automotive software-development practices and coding standards, including MISRA C++.\n\n - Experience deploying state-estimation software on embedded or resource-constrained platforms with real-time compute, memory and latency requirements.\n\n - Experience developing high-quality ground truth, benchmarks and validation evidence for localisation or other state-estimation systems.\n\n - Familiarity with relevant robotics tooling and libraries such as ROS, Eigen, OpenCV, PCL or CUDA.\n\n - MS or PhD in Robotics, Computer Science, Electrical Engineering or a related field, or equivalent practical experience.\n\nThis is a full-time role based in our office in London, UK. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"b29370bc-e46c-4edf-83a2-f385533fb8ef","title":"Senior Software Engineer, Platform - AI Portal","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-05-27T09:15:06.015+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/b29370bc-e46c-4edf-83a2-f385533fb8ef","applyUrl":"https://jobs.ashbyhq.com/wayve/b29370bc-e46c-4edf-83a2-f385533fb8ef/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Portal is the platform that connects Wayve to the outside world; handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale-up: with its own infrastructure, its own DevOps, and a high-autonomy operating model independent from Wayve's core engineering org.
We're looking for a Platform Engineer to own and evolve the cloud infrastructure and developer tooling that underpins the entire Portal engineering team.
This is a broad, hands-on platform engineering role, not a narrow specialisation. You'll work across cloud infrastructure, RBAC/IAM, CI/CD, Kubernetes and developer productivity. You'll be the person application developers come to when they need to move faster, more safely and you'll build the systems and guardrails that make that possible.
Design, build and maintain cloud infrastructure, CI/CD and developer tooling (primarily Azure) using IaC (Terraform) across development, staging, and production environments.
Own and evolve RBAC/IAM across both cloud/infrastructure and application/product layers for a multi-tenant Portal environment.
Build and improve CI/CD pipelines to increase developer velocity, reliability and deployment safety.
Support and improve Kubernetes-based deployment workflows and platform services.
Build internal tools and observability capabilities that help engineers deliver performant, reliable software at scale.
Participate in a support/on-call rotation; respond to incidents, support engineers, and contribute to root cause analysis.
Apply practical security and networking knowledge to harden the platform and coach application developers on best practices.
Strong hands-on cloud infrastructure experience, ideally Azure, with production Terraform/IaC experience.
Strong RBAC/IAM knowledge at cloud/infrastructure level; experience with application/product-level IAM or multi-tenancy is highly valuable.
Experience building and maintaining CI/CD pipelines
Security and networking fundamentals: you are a hands-on builder, not just a reviewer
Experience as part of a support or on-call rotation
A strong communicator who can coach and guide application developers, not just build in isolation
A product mindset: you think about the developer experience and build tools that genuinely improve how the team works
High autonomy and ownership: you take responsibility for outcomes in a fast-moving team
Experience working with multiple cloud providers or cross-cloud IAM across Azure, AWS and/or GCP
Background in developer experience (DX) or internal tooling
Experience in a startup or high-growth engineering environment
Security certifications are a plus but not required
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\n \n\n\nABOUT THE TEAM\n\nPortal is the platform that connects Wayve to the outside world; handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale-up: with its own infrastructure, its own DevOps, and a high-autonomy operating model independent from Wayve's core engineering org.\n\n\nTHE ROLE\n\nWe're looking for a Platform Engineer to own and evolve the cloud infrastructure and developer tooling that underpins the entire Portal engineering team.\n\nThis is a broad, hands-on platform engineering role, not a narrow specialisation. You'll work across cloud infrastructure, RBAC/IAM, CI/CD, Kubernetes and developer productivity. You'll be the person application developers come to when they need to move faster, more safely and you'll build the systems and guardrails that make that possible.\n\n\nWHAT YOU'LL DO\n\n - Design, build and maintain cloud infrastructure, CI/CD and developer tooling (primarily Azure) using IaC (Terraform) across development, staging, and production environments.\n\n - Own and evolve RBAC/IAM across both cloud/infrastructure and application/product layers for a multi-tenant Portal environment.\n\n - Build and improve CI/CD pipelines to increase developer velocity, reliability and deployment safety.\n\n - Support and improve Kubernetes-based deployment workflows and platform services.\n\n - Build internal tools and observability capabilities that help engineers deliver performant, reliable software at scale.\n\n - Participate in a support/on-call rotation; respond to incidents, support engineers, and contribute to root cause analysis.\n\n - Apply practical security and networking knowledge to harden the platform and coach application developers on best practices.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Strong hands-on cloud infrastructure experience, ideally Azure, with production Terraform/IaC experience.\n\n - Strong RBAC/IAM knowledge at cloud/infrastructure level; experience with application/product-level IAM or multi-tenancy is highly valuable.\n\n - Experience building and maintaining CI/CD pipelines\n\n - Security and networking fundamentals: you are a hands-on builder, not just a reviewer\n\n - Experience as part of a support or on-call rotation\n\n - A strong communicator who can coach and guide application developers, not just build in isolation\n\n - A product mindset: you think about the developer experience and build tools that genuinely improve how the team works\n\n - High autonomy and ownership: you take responsibility for outcomes in a fast-moving team\n\n\nNICE TO HAVE\n\n - Experience working with multiple cloud providers or cross-cloud IAM across Azure, AWS and/or GCP\n\n - Background in developer experience (DX) or internal tooling\n\n - Experience in a startup or high-growth engineering environment\n\n - Security certifications are a plus but not required\n\n \n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"022d25d4-5ad3-4edc-8b62-eb22cbc0484e","title":"Model Release Engineer ","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-07T08:49:37.044+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/022d25d4-5ad3-4edc-8b62-eb22cbc0484e","applyUrl":"https://jobs.ashbyhq.com/wayve/022d25d4-5ad3-4edc-8b62-eb22cbc0484e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re looking for a Model Release Engineer to build the platform that moves Wayve’s AI models from promising new features through training, simulation, on-road testing and release. You’ll automate a complex process spanning multiple systems and teams, creating a scalable, reliable and transparent path to production. Working across the full model-release lifecycle, you’ll directly improve how quickly and confidently we deploy new AI Driver models.
Key responsibilities:
Design and build services and workflows that automate the end-to-end model-release process, from feature integration through training, evaluation, approval and promotion.
Integrate the platform with systems owned by Model Engineering, MLOps, Simulation, Measurement, On-Road Testing, Operations and Release Management.
Work closely with teams across Wayve to understand their requirements, agree interfaces and resolve technical or delivery conflicts across shared workflows.
Improve the reliability, scalability and observability of the platform through effective monitoring, alerting and operational tooling.
Provide clear visibility of model candidates, their progress, evaluation results, approvals and release status.
Use AI-assisted development and agentic workflows to automate manual engineering tasks and accelerate delivery.
In order to set you up for success as a Model Release Engineer at Wayve, we’re looking for the following skills and experience.
Strong software engineering experience, including building production services and platforms in Python.
Experience designing distributed systems, APIs or microservices that connect multiple tools and workflows.
Proven ability to collaborate across organisational boundaries, align stakeholders, agree technical interfaces and work through conflicting priorities.
Experience operating cloud-based services using Kubernetes, with a good understanding of reliability, scalability and performance.
Practical knowledge of observability, monitoring and alerting, including defining meaningful service-health metrics.
Confidence using AI coding tools and agents to improve engineering productivity and automate repeatable work.
A pragmatic, ownership-driven approach and the ability to make progress where requirements and processes are still evolving.
Experience with MLOps, machine-learning infrastructure or production model-training and release pipelines.
Understanding of model evaluation, simulation, experiment orchestration or approval-gated release processes.
Front-end development experience, ideally using React.
Experience supporting highly available platforms used within business-critical production workflows.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe’re looking for a Model Release Engineer to build the platform that moves Wayve’s AI models from promising new features through training, simulation, on-road testing and release. You’ll automate a complex process spanning multiple systems and teams, creating a scalable, reliable and transparent path to production. Working across the full model-release lifecycle, you’ll directly improve how quickly and confidently we deploy new AI Driver models.\n\nKey responsibilities:\n\n - Design and build services and workflows that automate the end-to-end model-release process, from feature integration through training, evaluation, approval and promotion.\n\n - Integrate the platform with systems owned by Model Engineering, MLOps, Simulation, Measurement, On-Road Testing, Operations and Release Management.\n\n - Work closely with teams across Wayve to understand their requirements, agree interfaces and resolve technical or delivery conflicts across shared workflows.\n\n - Improve the reliability, scalability and observability of the platform through effective monitoring, alerting and operational tooling.\n\n - Provide clear visibility of model candidates, their progress, evaluation results, approvals and release status.\n\n - Use AI-assisted development and agentic workflows to automate manual engineering tasks and accelerate delivery.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Model Release Engineer at Wayve, we’re looking for the following skills and experience.\n\n\nESSENTIAL\n\n - Strong software engineering experience, including building production services and platforms in Python.\n\n - Experience designing distributed systems, APIs or microservices that connect multiple tools and workflows.\n\n - Proven ability to collaborate across organisational boundaries, align stakeholders, agree technical interfaces and work through conflicting priorities.\n\n - Experience operating cloud-based services using Kubernetes, with a good understanding of reliability, scalability and performance.\n\n - Practical knowledge of observability, monitoring and alerting, including defining meaningful service-health metrics.\n\n - Confidence using AI coding tools and agents to improve engineering productivity and automate repeatable work.\n\n - A pragmatic, ownership-driven approach and the ability to make progress where requirements and processes are still evolving.\n\n\nDESIRABLE\n\n - Experience with MLOps, machine-learning infrastructure or production model-training and release pipelines.\n\n - Understanding of model evaluation, simulation, experiment orchestration or approval-gated release processes.\n\n - Front-end development experience, ideally using React.\n\n - Experience supporting highly available platforms used within business-critical production workflows.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"6ce654d2-5233-4217-8185-9d28bcbd84a7","title":"Machine Learning Engineer, Performance Tooling","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-08-31T18:36:42.709+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/6ce654d2-5233-4217-8185-9d28bcbd84a7","applyUrl":"https://jobs.ashbyhq.com/wayve/6ce654d2-5233-4217-8185-9d28bcbd84a7/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
You’ll join the AI Performance Tooling team within Wayve’s AI Performance organization, which makes model training and inference faster, more efficient, and more predictable across cloud and embedded hardware. Our mission is to enable data-driven AI performance decisions across priority workloads and hardware targets: Measure performance teams can trust; Monitor trends and catch regressions; Predict the cost of changes before we run them; Advise on bottlenecks and prioritized opportunities. You’ll build tools that reason across the AI stack — models and operators, compilers, runtimes, accelerators, and distributed training infrastructure — turning profiling data into a clear picture of where time, memory, power, and compute go, and what proposed changes will do to latency, throughput, compute spend, and capacity. You’ll work closely with model, compiler, runtime, platform, and hardware teams, bringing a cross-stack view that turns measurement into clear recommendations.
Key responsibilities
Design and build reliable, self-service performance tools that scale across models, hardware targets, and development workflows.
Shape how Wayve measures and predicts AI performance, and set the standards other teams build on.
Model theoretical peak for a platform, compare with achieved performance, and pinpoint where efficiency is lost at layer and op level.
Predict latency, memory, utilization, and compute cost of a model or recipe change before spending compute.
Own monitoring and regression alerting across model builds and training runs.
Work with training and runtime engineers to set performance targets and make the case with data.
About you
In order to set you up for success as a Software Engineer, AI Performance Tooling at Wayve, we’re looking for the following skills and experience.
Essential
Deep, hands-on performance engineering in complex systems: profiling, roofline analysis, latency and throughput optimization, and root-causing what limits a workload.
A track record of owning a tool or service end to end — design, delivery, and adoption by other teams.
Strong Python skills, and comfort profiling and instrumenting large production codebases.
Hands-on experience developing deep learning models with PyTorch.
Data analysis skills to turn noisy measurements into conclusions you can defend.
Judgment to turn an ambiguous performance question into a measurable one, and to prioritize what matters.
Quantitative communication clear enough to influence another team’s priorities.
This is a full-time role based in-office. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nYou’ll join the AI Performance Tooling team within Wayve’s AI Performance organization, which makes model training and inference faster, more efficient, and more predictable across cloud and embedded hardware. Our mission is to enable data-driven AI performance decisions across priority workloads and hardware targets: Measure performance teams can trust; Monitor trends and catch regressions; Predict the cost of changes before we run them; Advise on bottlenecks and prioritized opportunities. You’ll build tools that reason across the AI stack — models and operators, compilers, runtimes, accelerators, and distributed training infrastructure — turning profiling data into a clear picture of where time, memory, power, and compute go, and what proposed changes will do to latency, throughput, compute spend, and capacity. You’ll work closely with model, compiler, runtime, platform, and hardware teams, bringing a cross-stack view that turns measurement into clear recommendations.\n\nKey responsibilities\n\n - Design and build reliable, self-service performance tools that scale across models, hardware targets, and development workflows.\n\n - Shape how Wayve measures and predicts AI performance, and set the standards other teams build on.\n\n - Model theoretical peak for a platform, compare with achieved performance, and pinpoint where efficiency is lost at layer and op level.\n\n - Predict latency, memory, utilization, and compute cost of a model or recipe change before spending compute.\n\n - Own monitoring and regression alerting across model builds and training runs.\n\n - Work with training and runtime engineers to set performance targets and make the case with data.\n\nAbout you\n\nIn order to set you up for success as a Software Engineer, AI Performance Tooling at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Deep, hands-on performance engineering in complex systems: profiling, roofline analysis, latency and throughput optimization, and root-causing what limits a workload.\n\n - A track record of owning a tool or service end to end — design, delivery, and adoption by other teams.\n\n - Strong Python skills, and comfort profiling and instrumenting large production codebases.\n\n - Hands-on experience developing deep learning models with PyTorch.\n\n - Data analysis skills to turn noisy measurements into conclusions you can defend.\n\n - Judgment to turn an ambiguous performance question into a measurable one, and to prioritize what matters.\n\n - Quantitative communication clear enough to influence another team’s priorities.\n\nThis is a full-time role based in-office. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"291242c9-fd0e-4e6b-9e81-37ccab8d19a7","title":"Machine Learning Engineer, Driving Product ","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"Herzliya, Israel","secondaryLocations":[],"publishedAt":"2026-09-14T09:22:54.975+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/291242c9-fd0e-4e6b-9e81-37ccab8d19a7","applyUrl":"https://jobs.ashbyhq.com/wayve/291242c9-fd0e-4e6b-9e81-37ccab8d19a7/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We are hiring Senior and Staff ML Engineers that sit within Driving Product organisation, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan production and Robotaxi). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.
Key responsibilities
Develop the AI driver model architecture and training algorithms to introduce and enhance the driving behaviors for L2/L3/L4
Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.
Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.
About you
In order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Proven experience training deep learning models, with clear end-to-end ownership (data, training, evaluation, iteration).
Experience taking ML models into production, including working through real-world constraints and quality and safety requirements
Desirable
Reinforcement learning experience (especially where it materially improved real-world performance).
Experience with end-to-end driving models and / or transformer networks
Automotive or OEM experience, or prior work that involved deploying ML into physical systems.
Experience with a Pytorch lightning training infrastructure
Experience with model compression and deployments to embedded systems
This is a full-time role based in our office in Sunnyvale, London or Israel. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nWe are hiring Senior and Staff ML Engineers that sit within Driving Product organisation, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan production and Robotaxi). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.\n\nKey responsibilities\n\n - Develop the AI driver model architecture and training algorithms to introduce and enhance the driving behaviors for L2/L3/L4\n\n - Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.\n\n - Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.\n\n - Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.\n\nAbout you\n\n\n\nIn order to set you up for success as a Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.\n\n\n\nEssential\n\n\n\n - Proven experience training deep learning models, with clear end-to-end ownership (data, training, evaluation, iteration).\n\n - Experience taking ML models into production, including working through real-world constraints and quality and safety requirements\n\n \n\nDesirable\n\n - Reinforcement learning experience (especially where it materially improved real-world performance).\n\n - Experience with end-to-end driving models and / or transformer networks\n\n - Automotive or OEM experience, or prior work that involved deploying ML into physical systems.\n\n - Experience with a Pytorch lightning training infrastructure\n\n - Experience with model compression and deployments to embedded systems\n\nThis is a full-time role based in our office in Sunnyvale, London or Israel. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"1e87e056-7dda-4031-a212-d1762dccff72","title":"IT & Security Manager","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-09T15:53:21.703+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/1e87e056-7dda-4031-a212-d1762dccff72","applyUrl":"https://jobs.ashbyhq.com/wayve/1e87e056-7dda-4031-a212-d1762dccff72/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Wayve grows across continents, we are looking for a IT & Security Manager to own the systems and controls layer the whole company runs on: identity, endpoint, device and asset lifecycle, SaaS, and the and the security controls implemented in all of them. Most of this role is platform ownership. You will lead a distributed team of engineers across the UK, Germany and the US.
This is a build role. We are standing this layer up properly for the first time, so you will shape how it works rather than inherit someone else's design, and the team and headcount to do it are already approved.
It is one of three peer leadership roles in our infrastructure, IT and security function, all reporting to the same Head of IT. One peer owns the network estate, one owns our global support service, and you own the platforms and the controls. You will also work closely with our central Security team and with the engineering teams whose work depends the platforms you own.
You will do well here if you like owning platforms end to end, turning manual work into automation, and growing the engineers around you.
Key responsibilities
Own the operation of our corporate security controls: endpoint hardening, identity and access, privileged access, vulnerability and patch management, and access reviews.
Partner with our central Security team on policy, vulnerability management and incident response. They own those processes; you make them real in the IT environment.
Own Okta and everything on it: application onboarding, SSO and SAML migration, group and attribute automation, the application catalogue, and the automation that grants and revokes access. Our Helpdesk Lead runs the joiner, mover and leaver process itself; you own the platform it runs on and the evidence that access was revoked.
Own endpoint management across a genuinely mixed Mac, Windows and Linux fleet, covering enrolment, baselines, patching and compliance reporting.
Own device and asset lifecycle and SaaS and licensing, including records, reconciliation, audit process, inventory accuracy, tenant administration and vendor relationships.
Lead, grow and hire a distributed team across three countries and several time zones, and develop engineers into domain owners with clear standards behind each domain.
Partner with the Helpdesk Lead on what gets automated away, with the Network Manager on work that crosses both lines such as 802.1x and device posture, and act as the function's interface to compliance on identity, endpoint and asset controls.
Turn certification requirements into implemented controls, and into evidence the platform produces on demand.
In order to set you up for success as a IT & Security Manager at Wayve, we are looking for the following skills and experience.
Essential
Experience leading an IT, security or infrastructure team, including hiring, performance management and developing engineers.
Deep hands-on background in corporate IT platforms: identity (Okta or Entra), endpoint management at fleet scale (Iru, Jamf, Intune or equivalent), and SaaS administration.
Hands-on Linux fleet management alongside Mac and Windows.
Practical security operations experience: endpoint hardening, vulnerability and patch management, incident response, access reviews, and privileged access or zero-trust access delivery.
Delivered against a security certification or audit (TISAX, ISO 27001, SOC 2 or equivalent) on the implementation and evidence side.
Scripting or infrastructure-as-code ability, enough to set the standard and review your team's work.
Experience scaling a corporate estate through fast growth and multi-site expansion.
Holds a clear boundary with peer managers, and is honest about risk upward as well as downward.
Desirable
Experience of a supplier-security assessment in an automotive or OEM supply chain.
Has stood up a corporate security capability from scratch rather than inheriting a mature one.
Hands-on with 802.1x and certificate-based device posture from the identity and endpoint side.
Exposure to offices, labs, garages and test facilities rather than offices alone, or to AI development environments.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs Wayve grows across continents, we are looking for a IT & Security Manager to own the systems and controls layer the whole company runs on: identity, endpoint, device and asset lifecycle, SaaS, and the and the security controls implemented in all of them. Most of this role is platform ownership. You will lead a distributed team of engineers across the UK, Germany and the US.\n\nThis is a build role. We are standing this layer up properly for the first time, so you will shape how it works rather than inherit someone else's design, and the team and headcount to do it are already approved.\n\nIt is one of three peer leadership roles in our infrastructure, IT and security function, all reporting to the same Head of IT. One peer owns the network estate, one owns our global support service, and you own the platforms and the controls. You will also work closely with our central Security team and with the engineering teams whose work depends the platforms you own.\n\nYou will do well here if you like owning platforms end to end, turning manual work into automation, and growing the engineers around you.\n\nKey responsibilities\n\n - Own the operation of our corporate security controls: endpoint hardening, identity and access, privileged access, vulnerability and patch management, and access reviews. \n\n - Partner with our central Security team on policy, vulnerability management and incident response. They own those processes; you make them real in the IT environment.\n\n - Own Okta and everything on it: application onboarding, SSO and SAML migration, group and attribute automation, the application catalogue, and the automation that grants and revokes access. Our Helpdesk Lead runs the joiner, mover and leaver process itself; you own the platform it runs on and the evidence that access was revoked.\n\n - Own endpoint management across a genuinely mixed Mac, Windows and Linux fleet, covering enrolment, baselines, patching and compliance reporting.\n\n - Own device and asset lifecycle and SaaS and licensing, including records, reconciliation, audit process, inventory accuracy, tenant administration and vendor relationships.\n\n - Lead, grow and hire a distributed team across three countries and several time zones, and develop engineers into domain owners with clear standards behind each domain.\n\n - Partner with the Helpdesk Lead on what gets automated away, with the Network Manager on work that crosses both lines such as 802.1x and device posture, and act as the function's interface to compliance on identity, endpoint and asset controls.\n\n - Turn certification requirements into implemented controls, and into evidence the platform produces on demand.\n\n\nABOUT YOU \n\nIn order to set you up for success as a IT & Security Manager at Wayve, we are looking for the following skills and experience.\n\nEssential\n\n - Experience leading an IT, security or infrastructure team, including hiring, performance management and developing engineers.\n\n - Deep hands-on background in corporate IT platforms: identity (Okta or Entra), endpoint management at fleet scale (Iru, Jamf, Intune or equivalent), and SaaS administration.\n\n - Hands-on Linux fleet management alongside Mac and Windows.\n\n - Practical security operations experience: endpoint hardening, vulnerability and patch management, incident response, access reviews, and privileged access or zero-trust access delivery.\n\n - Delivered against a security certification or audit (TISAX, ISO 27001, SOC 2 or equivalent) on the implementation and evidence side.\n\n - Scripting or infrastructure-as-code ability, enough to set the standard and review your team's work.\n\n - Experience scaling a corporate estate through fast growth and multi-site expansion.\n\n - Holds a clear boundary with peer managers, and is honest about risk upward as well as downward.\n\nDesirable\n\n - Experience of a supplier-security assessment in an automotive or OEM supply chain.\n\n - Has stood up a corporate security capability from scratch rather than inheriting a mature one.\n\n - Hands-on with 802.1x and certificate-based device posture from the identity and endpoint side.\n\n - Exposure to offices, labs, garages and test facilities rather than offices alone, or to AI development environments.\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"25a941d4-06fe-4e81-9440-c592f529e5b7","title":"Platform Engineer, AI Enablement ","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-09T15:55:13.401+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/25a941d4-06fe-4e81-9440-c592f529e5b7","applyUrl":"https://jobs.ashbyhq.com/wayve/25a941d4-06fe-4e81-9440-c592f529e5b7/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Platform Engineer on Wayve’s AI Enablement team, you’ll build the infrastructure that gives people across the company safe, reliable, and cost-effective access to language models and AI agents.
You’ll help create a governed model-access layer and a secure production environment for agentic workflows, with safety, observability, and operational excellence built in from the start. Your work will span the full lifecycle—from defining problems and designing systems to implementation, deployment, and ongoing operation.
Working closely with Security, IT, and engineering teams, you’ll deliver platform capabilities that scale with the pace of AI adoption at Wayve. You’ll also support teams building agentic workflows, turning successful approaches into reusable patterns and helping colleagues understand what’s possible with the platform.
This is an opportunity to join an early platform team and shape how an AI company puts AI tools to work responsibly. Your technical decisions will influence infrastructure used across Wayve, giving you ownership, visibility, and impact beyond a typical infrastructure role.
Design, build, and operate infrastructure that enables safe and cost-effective access to AI models and tools.
Build the runtime, services, and developer tooling used to run agentic workflows in production.
Create observability across cost, performance, reliability, and usage through metrics, tracing, and logging.
Implement governance and safety controls that make AI use secure, compliant, and auditable.
Develop reusable platform primitives, integrations, and guardrails that reduce one-off solutions.
Contribute to standards and best practices for designing, building, and deploying agents.
Automate infrastructure and deployment processes to keep the platform reliable and scalable.
Partner with Security, IT, and engineering teams on platform integration, policy, and rollout.
Help teams adopt the platform by troubleshooting issues, documenting patterns, and sharing what works.
Educate colleagues on the AI platforms and tools available to them and how to use them effectively.
Own projects end to end and improve the platform based on real-world usage and feedback.
Participate in the team’s on-call rotation, providing out-of-hours support for critical systems when required.
You’re a hands-on engineer who enjoys building reliable platforms for other teams. You’re comfortable navigating ambiguity, taking ownership across the full delivery lifecycle, and collaborating with technical and non-technical partners. You combine strong engineering fundamentals with curiosity about the fast-evolving AI tooling ecosystem.
3+ years of software engineering experience building APIs, services, and developer tooling.
Strong system-design fundamentals and experience making infrastructure decisions that affect multiple teams.
Experience building and operating platforms or infrastructure used by other engineering teams.
Hands-on experience with cloud infrastructure, Kubernetes, and infrastructure as code.
Familiarity with LLM APIs and the surrounding ecosystem, including model providers, gateways, MCP, agent frameworks, and retrieval-augmented generation.
Experience building observability into distributed systems using metrics, tracing, and logging.
A security-conscious approach, including experience with authentication, authorization, and auditability.
A strong sense of ownership and comfort working in an ambiguous, fast-moving environment.
Clear communication and documentation skills that enable other teams to self-serve.
Experience operating an LLM gateway or model-routing layer in production, including cost controls and budget enforcement.
Experience with agent orchestration frameworks or tool-calling protocols such as MCP.
Exposure to AI governance, model risk management, or responsible AI practices.
Experience working in an organisation with a strong safety culture, ideally in autonomy, robotics, or another safety-critical field.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Platform Engineer on Wayve’s AI Enablement team, you’ll build the infrastructure that gives people across the company safe, reliable, and cost-effective access to language models and AI agents.\n\nYou’ll help create a governed model-access layer and a secure production environment for agentic workflows, with safety, observability, and operational excellence built in from the start. Your work will span the full lifecycle—from defining problems and designing systems to implementation, deployment, and ongoing operation.\n\nWorking closely with Security, IT, and engineering teams, you’ll deliver platform capabilities that scale with the pace of AI adoption at Wayve. You’ll also support teams building agentic workflows, turning successful approaches into reusable patterns and helping colleagues understand what’s possible with the platform.\n\nThis is an opportunity to join an early platform team and shape how an AI company puts AI tools to work responsibly. Your technical decisions will influence infrastructure used across Wayve, giving you ownership, visibility, and impact beyond a typical infrastructure role.\n\n\nKEY RESPONSIBILITIES\n\n - Design, build, and operate infrastructure that enables safe and cost-effective access to AI models and tools.\n\n - Build the runtime, services, and developer tooling used to run agentic workflows in production.\n\n - Create observability across cost, performance, reliability, and usage through metrics, tracing, and logging.\n\n - Implement governance and safety controls that make AI use secure, compliant, and auditable.\n\n - Develop reusable platform primitives, integrations, and guardrails that reduce one-off solutions.\n\n - Contribute to standards and best practices for designing, building, and deploying agents.\n\n - Automate infrastructure and deployment processes to keep the platform reliable and scalable.\n\n - Partner with Security, IT, and engineering teams on platform integration, policy, and rollout.\n\n - Help teams adopt the platform by troubleshooting issues, documenting patterns, and sharing what works.\n\n - Educate colleagues on the AI platforms and tools available to them and how to use them effectively.\n\n - Own projects end to end and improve the platform based on real-world usage and feedback.\n\n - Participate in the team’s on-call rotation, providing out-of-hours support for critical systems when required.\n\n\nABOUT YOU\n\nYou’re a hands-on engineer who enjoys building reliable platforms for other teams. You’re comfortable navigating ambiguity, taking ownership across the full delivery lifecycle, and collaborating with technical and non-technical partners. You combine strong engineering fundamentals with curiosity about the fast-evolving AI tooling ecosystem.\n\n\nESSENTIAL SKILLS AND EXPERIENCE\n\n - 3+ years of software engineering experience building APIs, services, and developer tooling.\n\n - Strong system-design fundamentals and experience making infrastructure decisions that affect multiple teams.\n\n - Experience building and operating platforms or infrastructure used by other engineering teams.\n\n - Hands-on experience with cloud infrastructure, Kubernetes, and infrastructure as code.\n\n - Familiarity with LLM APIs and the surrounding ecosystem, including model providers, gateways, MCP, agent frameworks, and retrieval-augmented generation.\n\n - Experience building observability into distributed systems using metrics, tracing, and logging.\n\n - A security-conscious approach, including experience with authentication, authorization, and auditability.\n\n - A strong sense of ownership and comfort working in an ambiguous, fast-moving environment.\n\n - Clear communication and documentation skills that enable other teams to self-serve.\n\n\nDESIRABLE SKILLS AND EXPERIENCE\n\n - Experience operating an LLM gateway or model-routing layer in production, including cost controls and budget enforcement.\n\n - Experience with agent orchestration frameworks or tool-calling protocols such as MCP.\n\n - Exposure to AI governance, model risk management, or responsible AI practices.\n\n - Experience working in an organisation with a strong safety culture, ideally in autonomy, robotics, or another safety-critical field.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"a66e9af3-8111-4730-95ee-6a76a340c6b6","title":"Platform Engineer (SDO)","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-17T08:09:59.969+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/a66e9af3-8111-4730-95ee-6a76a340c6b6","applyUrl":"https://jobs.ashbyhq.com/wayve/a66e9af3-8111-4730-95ee-6a76a340c6b6/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Platform Engineer, you will help build, operate, and improve the cloud platforms and infrastructure that support Wayve's software development and release systems.
Working as part of a team, you’ll focus on maintaining reliable, scalable, and secure cloud environments, while improving the systems that enable efficient software development, testing, and deployment. This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure, automation, and platform engineering.
Build, maintain, and improve cloud infrastructure (primarily Azure) to support development, testing, and production environments.
Contribute to Infrastructure-as-Code (IaC) implementations (e.g. Terraform, Ansible) to ensure consistent and repeatable infrastructure provisioning.
Support and improve CI/CD pipelines and deployment systems running in cloud environments.
Monitor, troubleshoot, and optimise cloud systems for performance, reliability, and cost efficiency.
Assist in managing containerised workloads and orchestration platforms (e.g. Docker, Kubernetes).
Implement and maintain observability tools (logging, metrics, alerting) to ensure system health and rapid incident response.
Work with engineering teams to ensure infrastructure meets application requirements and supports scalable software delivery.
Help improve security, access control, and compliance within cloud environments.
Participate in incident response and root cause analysis for infrastructure and deployment issues.
Continuously improve automation, reducing manual operations across infrastructure and deployment workflows.
Essential:
2–5 years of experience in DevOps, cloud infrastructure, or related engineering roles.
Hands-on experience with at least one cloud platform (Azure, AWS, or GCP).
Experience with Infrastructure-as-Code tools (e.g. Terraform, Ansible).
Familiarity with CI/CD systems and cloud-based deployment pipelines.
Basic understanding of networking, cloud architecture, and system reliability.
Strong troubleshooting and problem-solving skills.
Desirable:
Experience with containerisation and orchestration (Docker, Kubernetes).
Familiarity with monitoring and observability tools (e.g. Prometheus, Grafana, ELK).
Experience working with Linux systems and shell scripting.
Programming or scripting experience (e.g. Python, Bash, Go, or similar).
Understanding of security best practices in cloud environments.
Exposure to large-scale or distributed systems
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Platform Engineer, you will help build, operate, and improve the cloud platforms and infrastructure that support Wayve's software development and release systems.\n\nWorking as part of a team, you’ll focus on maintaining reliable, scalable, and secure cloud environments, while improving the systems that enable efficient software development, testing, and deployment. This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure, automation, and platform engineering.\n\n\nKEY RESPONSIBILITIES\n\n - Build, maintain, and improve cloud infrastructure (primarily Azure) to support development, testing, and production environments.\n\n - Contribute to Infrastructure-as-Code (IaC) implementations (e.g. Terraform, Ansible) to ensure consistent and repeatable infrastructure provisioning.\n\n - Support and improve CI/CD pipelines and deployment systems running in cloud environments.\n\n - Monitor, troubleshoot, and optimise cloud systems for performance, reliability, and cost efficiency.\n\n - Assist in managing containerised workloads and orchestration platforms (e.g. Docker, Kubernetes).\n\n - Implement and maintain observability tools (logging, metrics, alerting) to ensure system health and rapid incident response.\n\n - Work with engineering teams to ensure infrastructure meets application requirements and supports scalable software delivery.\n\n - Help improve security, access control, and compliance within cloud environments.\n\n - Participate in incident response and root cause analysis for infrastructure and deployment issues.\n\n - Continuously improve automation, reducing manual operations across infrastructure and deployment workflows.\n\n\nABOUT YOU\n\nEssential:\n\n - 2–5 years of experience in DevOps, cloud infrastructure, or related engineering roles.\n\n - Hands-on experience with at least one cloud platform (Azure, AWS, or GCP).\n\n - Experience with Infrastructure-as-Code tools (e.g. Terraform, Ansible).\n\n - Familiarity with CI/CD systems and cloud-based deployment pipelines.\n\n - Basic understanding of networking, cloud architecture, and system reliability.\n\n - Strong troubleshooting and problem-solving skills.\n\nDesirable:\n\n - Experience with containerisation and orchestration (Docker, Kubernetes).\n\n - Familiarity with monitoring and observability tools (e.g. Prometheus, Grafana, ELK).\n\n - Experience working with Linux systems and shell scripting.\n\n - Programming or scripting experience (e.g. Python, Bash, Go, or similar).\n\n - Understanding of security best practices in cloud environments.\n\n - Exposure to large-scale or distributed systems\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"2431c009-19d3-4cef-90e8-b4273e24d28a","title":"Systems Engineer, Robotaxi","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-09T21:22:13.820+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/2431c009-19d3-4cef-90e8-b4273e24d28a","applyUrl":"https://jobs.ashbyhq.com/wayve/2431c009-19d3-4cef-90e8-b4273e24d28a/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is developing driver-out Robotaxi systems that bring together the AI Driver, vehicle platform, sensors and compute, safety mechanisms, Remote Assistance, fleet services, and cloud operations.
We are looking for a Systems Engineer, Robotaxi to turn defined parts of this system-level vision into clear, implementable architecture. You will work closely alongside Wayve's lead Robotaxi System Architect, translating their reference architecture into functions, requirements, interfaces, decisions, and verification-ready outputs for the areas you own..
Your scope covers how the Robotaxi system works as a safe, scalable driver-out service — the vehicle, ADS, onboard compute, offboard capabilities, and the boundaries between Wayve, OEMs, Tier1s, and Robotaxi partners — and includes working directly with those partners to define architecture and product boundaries together, including leading technical discussions with them.
Own the systems engineering for defined parts of the Robotaxi architecture — for example vehicle/ADS interfaces, Remote Assistance/offboard boundaries, or fleet/cloud integration
Translate use cases, operational concepts, and constraints into system requirements, interfaces, assumptions, and verification-ready specifications for the areas you own.
Work directly with OEM, Tier1, and Robotaxi operator partners to define system and product boundaries together, including leading technical working sessions and design discussions with them.
Apply the Robotaxi reference architecture to real vehicle programs across sensors, compute, ECU topology, vehicle interfaces, and degraded-operation behavior.
Support implementation through technical reviews, bring-up planning, issue triage, and design-change impact analysis.
Escalate cross-domain or cross-program trade-offs that go beyond your defined scope to the lead Robotaxi System Architect and relevant domain owners.
You are a hands-on Robotaxi systems engineer who has worked on a real Robotaxi or production-intent L4 driver-out system. You can reason across hardware, embedded software, autonomy, safety, vehicle integration, offboard services, and operations, while producing engineering artifacts that teams can implement and verify.
You are comfortable owning a defined technical scope within a larger reference architecture, working in close partnership with a lead architect, and collaborating across domain boundaries. You can engage external partners directly — defining system and product boundaries together and running technical discussions — while staying clear on internal ownership.
Direct, hands-on experience designing, integrating, or deploying a Robotaxi or production-intent L4 driver-out autonomous system.
Systems engineering experience spanning several parts of the system, such as vehicle platform, sensors, compute, embedded software, ADS, safety mechanisms, Remote Assistance/offboard services, fleet/cloud systems, or operations.
Experience converting use cases and operational concepts into functional decomposition, system requirements, interfaces, assumptions, trade studies, and verification intent.
Experience defining system and product boundaries across multiple companies or organizations, such as an autonomy developer, OEM, Tier1, operator, or technology partner.
Practical vehicle or robotic-system integration experience, including architecture reviews, bring-up, issue triage, debugging, or design-change impact analysis.
Working knowledge of driver-out safety concepts, including redundancy, degraded operation, Minimum Risk Manoeuvre, fail-operational behavior, functional safety, SOTIF, and safety-case evidence.
Ability to communicate complex system designs cuments, diagrams, requirements, and technical reviews.
Robotaxi launch readiness, fleet operations, Remote Assistance, teleoperation interfaces, depot operations, rider/passenger systems, or operational monitoring.
Production automotive E/E architecture, CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX, Linux, diagnostics, time synchronization, or data logging.
Sensor and compute architecture involving cameras, radar, LiDAR, IMU/GNSS, calibration, timestamping, primary/secondary compute, or redundancy.
Requirements and architecture tooling such as Jama, MBSE/SysML, interface-control documents, decision records, and traceability systems.
Experience applying one reference architecture across more than one vehicle platform, OEM, or deployment model.
Familiarity with AI/ML-based driving systems and the implications of model capability, generalization, compute headroom, and evidence for product architecture.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWayve is developing driver-out Robotaxi systems that bring together the AI Driver, vehicle platform, sensors and compute, safety mechanisms, Remote Assistance, fleet services, and cloud operations.\n\nWe are looking for a Systems Engineer, Robotaxi to turn defined parts of this system-level vision into clear, implementable architecture. You will work closely alongside Wayve's lead Robotaxi System Architect, translating their reference architecture into functions, requirements, interfaces, decisions, and verification-ready outputs for the areas you own..\n\nYour scope covers how the Robotaxi system works as a safe, scalable driver-out service — the vehicle, ADS, onboard compute, offboard capabilities, and the boundaries between Wayve, OEMs, Tier1s, and Robotaxi partners — and includes working directly with those partners to define architecture and product boundaries together, including leading technical discussions with them.\n\n\nKEY RESPONSIBILITIES\n\n - Own the systems engineering for defined parts of the Robotaxi architecture — for example vehicle/ADS interfaces, Remote Assistance/offboard boundaries, or fleet/cloud integration\n\n - Translate use cases, operational concepts, and constraints into system requirements, interfaces, assumptions, and verification-ready specifications for the areas you own.\n\n - Work directly with OEM, Tier1, and Robotaxi operator partners to define system and product boundaries together, including leading technical working sessions and design discussions with them.\n\n - Apply the Robotaxi reference architecture to real vehicle programs across sensors, compute, ECU topology, vehicle interfaces, and degraded-operation behavior.\n\n - Support implementation through technical reviews, bring-up planning, issue triage, and design-change impact analysis.\n\n - Escalate cross-domain or cross-program trade-offs that go beyond your defined scope to the lead Robotaxi System Architect and relevant domain owners.\n\n\nABOUT YOU\n\nYou are a hands-on Robotaxi systems engineer who has worked on a real Robotaxi or production-intent L4 driver-out system. You can reason across hardware, embedded software, autonomy, safety, vehicle integration, offboard services, and operations, while producing engineering artifacts that teams can implement and verify.\n\nYou are comfortable owning a defined technical scope within a larger reference architecture, working in close partnership with a lead architect, and collaborating across domain boundaries. You can engage external partners directly — defining system and product boundaries together and running technical discussions — while staying clear on internal ownership.\n\n\nESSENTIAL\n\n - Direct, hands-on experience designing, integrating, or deploying a Robotaxi or production-intent L4 driver-out autonomous system.\n\n - Systems engineering experience spanning several parts of the system, such as vehicle platform, sensors, compute, embedded software, ADS, safety mechanisms, Remote Assistance/offboard services, fleet/cloud systems, or operations.\n\n - Experience converting use cases and operational concepts into functional decomposition, system requirements, interfaces, assumptions, trade studies, and verification intent.\n\n - Experience defining system and product boundaries across multiple companies or organizations, such as an autonomy developer, OEM, Tier1, operator, or technology partner.\n\n - Practical vehicle or robotic-system integration experience, including architecture reviews, bring-up, issue triage, debugging, or design-change impact analysis.\n\n - Working knowledge of driver-out safety concepts, including redundancy, degraded operation, Minimum Risk Manoeuvre, fail-operational behavior, functional safety, SOTIF, and safety-case evidence.\n\n - Ability to communicate complex system designs cuments, diagrams, requirements, and technical reviews.\n\n\nDESIRABLE\n\n - Robotaxi launch readiness, fleet operations, Remote Assistance, teleoperation interfaces, depot operations, rider/passenger systems, or operational monitoring.\n\n - Production automotive E/E architecture, CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX, Linux, diagnostics, time synchronization, or data logging.\n\n - Sensor and compute architecture involving cameras, radar, LiDAR, IMU/GNSS, calibration, timestamping, primary/secondary compute, or redundancy.\n\n - Requirements and architecture tooling such as Jama, MBSE/SysML, interface-control documents, decision records, and traceability systems.\n\n - Experience applying one reference architecture across more than one vehicle platform, OEM, or deployment model.\n\n - Familiarity with AI/ML-based driving systems and the implications of model capability, generalization, compute headroom, and evidence for product architecture.\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to 311,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"94b7837b-c7b0-4dce-8cfb-24682ebe5f48","title":"Senior Software Engineer - OS, Robot Software","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-08T17:00:13.534+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/94b7837b-c7b0-4dce-8cfb-24682ebe5f48","applyUrl":"https://jobs.ashbyhq.com/wayve/94b7837b-c7b0-4dce-8cfb-24682ebe5f48/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.
The OS team within Robot Software are the curators of Wayve's bespoke Linux distribution, which is installed across our ever-expanding development fleet. The team works closely with various groups across Wayve, including other parts of Robot Software, the hardware and supply chain teams, and our field engineering and reliability engineering teams. The team's responsibilities include developing and maintaining our Linux distribution using Yocto, creating and updating Linux kernel drivers for new hardware sensors and peripherals, and hardening our development fleet against all forms of cyber attack.
Key responsibilities:
Expertise in Linux: Own the creation and maintenance of Linux kernel and device drivers.
Collaborate with technical and business stakeholders: Work with Product, Project, and Engineering management to advise and build the right solution
Software Development: Build and deliver software in C++ with high quality and reliability. Create software which is observable and debuggable when running on a device 2000 km away and with limited connectivity.
Fault Tolerance and Diagnostics: Create robust, fault-tolerant software solutions with comprehensive system diagnostics to enable us to quickly and efficiently resolve any issues preventing our deployed fleet from operating at maximum capacity.
Drive a strong engineering culture: Lead by example as you demonstrate best practices for: testing, documentation, ease-of-use, technical (and non-technical) tooling, mentorship, and collaboration.
In order to set you up for success as a Software Engineer on the OS Team, we’re looking for the following skills and experience.
Essential
Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C and C++. Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization.
Linux Expertise: Familiarity with embedded Linux (kernel, device tree), build systems (Yocto), boot sequence, secured boot and user space application software development.
Debugging Skills: Ability to delve deep into performance issues, stack traces, core dumps, slow disk writes, high system load, memory bottlenecks, external device bottlenecks, and threading issues.
IPC Middleware Knowledge: Strong understanding IPC mechanisms and how to optimally use and configure IPC middleware for high data throughput robotics applications (e.g. with frameworks such as ROS).
Desirable
Experience with robotics or automotive frameworks such as Nvidia Jetson or Nvidia Drive.
Experience with embedded real time (RT) OS such as QNX.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $260,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.\n\nThe OS team within Robot Software are the curators of Wayve's bespoke Linux distribution, which is installed across our ever-expanding development fleet. The team works closely with various groups across Wayve, including other parts of Robot Software, the hardware and supply chain teams, and our field engineering and reliability engineering teams. The team's responsibilities include developing and maintaining our Linux distribution using Yocto, creating and updating Linux kernel drivers for new hardware sensors and peripherals, and hardening our development fleet against all forms of cyber attack.\n\nKey responsibilities:\n\n - Expertise in Linux: Own the creation and maintenance of Linux kernel and device drivers.\n\n - Collaborate with technical and business stakeholders: Work with Product, Project, and Engineering management to advise and build the right solution\n\n - Software Development: Build and deliver software in C++ with high quality and reliability. Create software which is observable and debuggable when running on a device 2000 km away and with limited connectivity.\n\n - Fault Tolerance and Diagnostics: Create robust, fault-tolerant software solutions with comprehensive system diagnostics to enable us to quickly and efficiently resolve any issues preventing our deployed fleet from operating at maximum capacity.\n\n - Drive a strong engineering culture: Lead by example as you demonstrate best practices for: testing, documentation, ease-of-use, technical (and non-technical) tooling, mentorship, and collaboration.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Software Engineer on the OS Team, we’re looking for the following skills and experience. \n\nEssential \n\n - Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C and C++. Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization.\n\n - Linux Expertise: Familiarity with embedded Linux (kernel, device tree), build systems (Yocto), boot sequence, secured boot and user space application software development.\n\n - Debugging Skills: Ability to delve deep into performance issues, stack traces, core dumps, slow disk writes, high system load, memory bottlenecks, external device bottlenecks, and threading issues.\n\n - IPC Middleware Knowledge: Strong understanding IPC mechanisms and how to optimally use and configure IPC middleware for high data throughput robotics applications (e.g. with frameworks such as ROS).\n\nDesirable \n\n - Experience with robotics or automotive frameworks such as Nvidia Jetson or Nvidia Drive.\n\n - Experience with embedded real time (RT) OS such as QNX. \n\n \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,700 to $260,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"4152851c-742b-4823-9513-ff5153904f17","title":"Technical Lead Manager, Synthetic Data","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-08T16:57:44.157+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/4152851c-742b-4823-9513-ff5153904f17","applyUrl":"https://jobs.ashbyhq.com/wayve/4152851c-742b-4823-9513-ff5153904f17/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Simulation is advancing our end-to-end autonomous driving research. The team’s mission is to accelerate our journey to AV2.0 by incubating capabilities that become company-level advantages. GAIA, our generative world models, and the synthetic data they produce, are one of those.
What this team is solving:
This role leads Synthetic Data within Simulation. The team exists to dramatically reduce our dependency on expensive and time-consuming on-road data collection by turning generative world models (models like GAIA-3) into a production engine for training-grade experience. When we can restage real driving onto a camera rig that does not exist yet, rewrite ego motion to create scenarios we have never encountered, and land that data in the same training stack we use for real driving, we can train, evaluate and deploy on vehicles and in geographies we have barely collected from.
These are some areas the workstream is focused on:
Post-training GAIA-class world models for synthetic-data capabilities: rig transfer (new camera and vehicle embodiments), pose transfer (rewritten ego trajectories), and related conditioning on geometry, calibration and actions.
Running generation at scale with clear lineage from the model and settings that produced them.
Landing synthetic data in driving-model training and proving its impact on suite and on-road metrics.
Expanding coverage to new vehicle platforms and safety-critical scenarios, including OEM bring-up and features
Modify existing data in a controllable and scalable way to create new scenarios or create new ones from scratch.
Where you’ll have impact:
As Tech Lead Manager, you’ll lead a high-performing team of machine learning engineers and help us answer questions like:
Can we train and validate a driving model for a vehicle platform before the fleet exists?
Can synthetically generated data replace scarce real-world data for training and evaluation — and how would we know?
How quickly can we deploy autonomous driving in a geography where we’ve never collected AV data?
Technical contributions & leadership
As a technical leader you will:
Architect the future — set the technical direction for how we post-train and condition world models for synthetic-data capabilities (rig transfer, pose transfer, controllability), holding a high bar for what counts as training-grade generation.
Own the loop end to end — make sure generation, evaluation and training stay one system: from checkpoint and config, through large-scale GPU inference, to artefacts that land in driving-model training with reproducible lineage.
Get hands-on when it matters — lead from the front on key components, codebases and experiments.
Push throughput and yield — drive inference optimisation (distillation, few-step sampling, KV caching, step count), valid-generation rate, and self-serve workflows so model developers can request synthetic sets without a specialist in the loop.
Disrupt thoughtfully — challenge assumptions about where synthetic data pays off, ask sharp questions, and champion bold ideas that move us beyond incremental gains.
Team management & cross-functional execution
As a people and execution leader you will:
Make things happen — lead a high-performing, cross-functional team of ML engineers and applied scientists working across generative modelling, generation infrastructure and training. Drive quarterly planning and execution in a high-ambiguity environment where the target moves.
Align and connect — collaborate with world-model researchers, platform and infra engineers, driving-model owners and evaluation so synthetic data is integrated into the broader stack, not delivered over a wall. Manage upwards and laterally to align your team’s goals with company priorities and OEM programme timelines.
Architect teams — grow and structure a resilient team by hiring top talent, designing effective operating models, and fostering a sense of belonging regardless of location. Cultivate a strong, inclusive culture rooted in scientific rigour, collaboration and curiosity.
Level up — coach and mentor team members, tailoring growth plans to individual strengths and aspirations. Lead by example through technical engagement and clear feedback.
Champion change — navigate your team through evolving research priorities and fast-moving execution, maintaining stability and trust through uncertainty.
In order to set you up for success as a Tech Lead Manager at Wayve, we’re looking for the following skills and experience.
Essential
5+ years of experience in ML engineering or applied research roles, with a track record of training and shipping neural networks — not only operating data platforms.
4+ years of people management experience, including direct reports and cross-functional project ownership.
Deep knowledge of generative modelling (diffusion, flow matching, autoregressive, or VAEs) applied to video or other high-dimensional temporal data.
Hands-on experience with video, generative or world models — for example video generation, novel-view synthesis, neural rendering, or controllable generation.
Working knowledge of cameras and 3D geometry (multi-camera rigs, intrinsics/extrinsics, warps and reprojection) and why they break generation or downstream training.
Evidence of closing the loop: taking generated or simulated data into a trained downstream model and measuring impact through mix ratios, ablations and failure analysis.
Experience operating generation or training at real scale — multi-GPU jobs, workflow orchestration, large video artefacts — and making that path reliable.
Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools.
Excellent communication skills and a passion for coaching and mentoring others.
You balance technical depth with people leadership. You know when to lead from the front and when to empower your team.
You embrace ambiguity and help your team make sense of it, keeping clarity and momentum through uncertainty.
Nice to have
Experience in AVs, robotics, simulation, or other embodied AI domains, and with multi-sensor driving data (video, telemetry; LiDAR a plus).
Distillation, few-step sampling, KV caching, or other inference-speed work on large generative models.
Reward models, offline RL, or closed-loop evaluation of driving policies.
Productionising research: Flyte/Ray/Spark-style jobs, dataset lineage, training mix configuration; cloud GPU fleets (Azure/AWS/GCP) and distributed training.
Strong publication record or contributions to open-source ML tooling.
Previous experience in startup-like or high-ambiguity environments.
This role might not be for you if:
You’re at your best when solving complex technical problems hands-on, rather than leading through others via mentoring and team support.
You are mainly managing teams and no longer hands-on in technical projects, and have no desire to get in the weeds or in the code again.
Your generative modelling experience stops at the checkpoint — you haven’t taken generated data through to a downstream model’s metrics, and don’t want to.
You aren’t comfortable working on high-ambiguity, research-adjacent projects with moving targets.
You haven’t yet managed a team with direct reports through full-cycle planning, delivery, and feedback loops.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nSimulation is advancing our end-to-end autonomous driving research. The team’s mission is to accelerate our journey to AV2.0 by incubating capabilities that become company-level advantages. GAIA, our generative world models, and the synthetic data they produce, are one of those.\n\nWhat this team is solving:\n\nThis role leads Synthetic Data within Simulation. The team exists to dramatically reduce our dependency on expensive and time-consuming on-road data collection by turning generative world models (models like GAIA-3 https://wayve.ai/thinking/gaia-3/) into a production engine for training-grade experience. When we can restage real driving onto a camera rig that does not exist yet, rewrite ego motion to create scenarios we have never encountered, and land that data in the same training stack we use for real driving, we can train, evaluate and deploy on vehicles and in geographies we have barely collected from.\n\nThese are some areas the workstream is focused on:\n\n - Post-training GAIA-class world models for synthetic-data capabilities: rig transfer (new camera and vehicle embodiments), pose transfer (rewritten ego trajectories), and related conditioning on geometry, calibration and actions.\n\n - Running generation at scale with clear lineage from the model and settings that produced them.\n\n - Landing synthetic data in driving-model training and proving its impact on suite and on-road metrics.\n\n - Expanding coverage to new vehicle platforms and safety-critical scenarios, including OEM bring-up and features\n\n - Modify existing data in a controllable and scalable way to create new scenarios or create new ones from scratch.\n\nWhere you’ll have impact:\n\nAs Tech Lead Manager, you’ll lead a high-performing team of machine learning engineers and help us answer questions like:\n\n - Can we train and validate a driving model for a vehicle platform before the fleet exists?\n\n - Can synthetically generated data replace scarce real-world data for training and evaluation — and how would we know?\n\n - How quickly can we deploy autonomous driving in a geography where we’ve never collected AV data?\n\n\nKEY RESPONSIBILITIES\n\nTechnical contributions & leadership\n\nAs a technical leader you will:\n\n - Architect the future — set the technical direction for how we post-train and condition world models for synthetic-data capabilities (rig transfer, pose transfer, controllability), holding a high bar for what counts as training-grade generation.\n\n - Own the loop end to end — make sure generation, evaluation and training stay one system: from checkpoint and config, through large-scale GPU inference, to artefacts that land in driving-model training with reproducible lineage.\n\n - Get hands-on when it matters — lead from the front on key components, codebases and experiments.\n\n - Push throughput and yield — drive inference optimisation (distillation, few-step sampling, KV caching, step count), valid-generation rate, and self-serve workflows so model developers can request synthetic sets without a specialist in the loop.\n\n - Disrupt thoughtfully — challenge assumptions about where synthetic data pays off, ask sharp questions, and champion bold ideas that move us beyond incremental gains.\n\nTeam management & cross-functional execution\n\nAs a people and execution leader you will:\n\n - Make things happen — lead a high-performing, cross-functional team of ML engineers and applied scientists working across generative modelling, generation infrastructure and training. Drive quarterly planning and execution in a high-ambiguity environment where the target moves.\n\n - Align and connect — collaborate with world-model researchers, platform and infra engineers, driving-model owners and evaluation so synthetic data is integrated into the broader stack, not delivered over a wall. Manage upwards and laterally to align your team’s goals with company priorities and OEM programme timelines.\n\n - Architect teams — grow and structure a resilient team by hiring top talent, designing effective operating models, and fostering a sense of belonging regardless of location. Cultivate a strong, inclusive culture rooted in scientific rigour, collaboration and curiosity.\n\n - Level up — coach and mentor team members, tailoring growth plans to individual strengths and aspirations. Lead by example through technical engagement and clear feedback.\n\n - Champion change — navigate your team through evolving research priorities and fast-moving execution, maintaining stability and trust through uncertainty.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Tech Lead Manager at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - 5+ years of experience in ML engineering or applied research roles, with a track record of training and shipping neural networks — not only operating data platforms.\n\n - 4+ years of people management experience, including direct reports and cross-functional project ownership.\n\n - Deep knowledge of generative modelling (diffusion, flow matching, autoregressive, or VAEs) applied to video or other high-dimensional temporal data.\n\n - Hands-on experience with video, generative or world models — for example video generation, novel-view synthesis, neural rendering, or controllable generation.\n\n - Working knowledge of cameras and 3D geometry (multi-camera rigs, intrinsics/extrinsics, warps and reprojection) and why they break generation or downstream training.\n\n - Evidence of closing the loop: taking generated or simulated data into a trained downstream model and measuring impact through mix ratios, ablations and failure analysis.\n\n - Experience operating generation or training at real scale — multi-GPU jobs, workflow orchestration, large video artefacts — and making that path reliable.\n\n - Strong Python and PyTorch engineering fundamentals, and experience building research-grade production tools.\n\n - Excellent communication skills and a passion for coaching and mentoring others.\n\n - You balance technical depth with people leadership. You know when to lead from the front and when to empower your team.\n\n - You embrace ambiguity and help your team make sense of it, keeping clarity and momentum through uncertainty.\n\nNice to have\n\n - Experience in AVs, robotics, simulation, or other embodied AI domains, and with multi-sensor driving data (video, telemetry; LiDAR a plus).\n\n - Distillation, few-step sampling, KV caching, or other inference-speed work on large generative models.\n\n - Reward models, offline RL, or closed-loop evaluation of driving policies.\n\n - Productionising research: Flyte/Ray/Spark-style jobs, dataset lineage, training mix configuration; cloud GPU fleets (Azure/AWS/GCP) and distributed training.\n\n - Strong publication record or contributions to open-source ML tooling.\n\n - Previous experience in startup-like or high-ambiguity environments.\n\nThis role might not be for you if:\n\n - You’re at your best when solving complex technical problems hands-on, rather than leading through others via mentoring and team support.\n\n - You are mainly managing teams and no longer hands-on in technical projects, and have no desire to get in the weeds or in the code again.\n\n - Your generative modelling experience stops at the checkpoint — you haven’t taken generated data through to a downstream model’s metrics, and don’t want to.\n\n - You aren’t comfortable working on high-ambiguity, research-adjacent projects with moving targets.\n\n - You haven’t yet managed a team with direct reports through full-cycle planning, delivery, and feedback loops.\n\n \n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"9560446d-f9ad-4db2-8985-857468b54c93","title":"Technical Program Manager, Robotaxi","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-09-10T01:39:07.757+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/9560446d-f9ad-4db2-8985-857468b54c93","applyUrl":"https://jobs.ashbyhq.com/wayve/9560446d-f9ad-4db2-8985-857468b54c93/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Technical Program Manager for Robotaxi at Wayve, you'll own the programs that bring our robotaxi service to life - from vehicle and fleet readiness to on-the-ground launch and scaling in market. Based in Yokohama, you'll work across autonomy, vehicle software, hardware, operations, safety, and local partners to turn Wayve's AI Driver into a safe, reliable robotaxi service - keeping complex, multi-team, cross-geography delivery predictable in a fast-moving, ambiguous environment. You'll often bridge Wayve's global R&D with local delivery in Japan. As the only TPM on the ground in Japan, this is a generalist role: alongside robotaxi delivery, you'll help support local vehicle programs across hardware and software as needed.
Your impact will be measured by your ability to deliver programs, drive efficiency, manage risk, and align execution with business goals. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.
Key responsibilities:
Drive program delivery: Own the lifecycle of robotaxi programs - from vehicle and fleet readiness to launch and in-market scaling - improving delivery through structured execution and coordination.
Manage dependencies & risk: Track and manage dependencies, risks, and trade-offs across autonomy, vehicle, operations, and safety - and escalate early with clear options.
Coordinate across functions & geographies: Keep engineering, fleet operations, safety, and local partner teams aligned - bridging Wayve's global R&D with local delivery in Japan.
Support launch & operations on the ground: Provide hands-on program support for robotaxi launch and in-market operations, on the ground in Yokohama.
Support local vehicle programs: As the only TPM in Japan, flex to support local vehicle hardware and software programs as needed.
Run delivery rhythms: Run planning, stand-ups, reviews, and retros that keep multi-team delivery predictable and reliable.
Keep stakeholders aligned: Communicate progress and risk to engineers, partners, and senior leaders, tailoring updates to each audience.
Champion continuous improvement: Improve tooling, processes, and ways of working, and share patterns across the TPM org
In order to set you up for success as a Technical Program Manager for Robotaxi at Wayve, we're looking for the following skills and experience.
Essential
Bias for action: 5+ years leading complex, multi-team programs (or a strong record at this level). You lead high-complexity work across teams and get things done.
Technically strong across software and hardware: Credible with engineers across autonomy, vehicle software, and vehicle hardware; you reason about how the AI Driver runs as a robotaxi service on real vehicles - and can support vehicle hardware / software programs too - even though you won't write production code.
Stays neutral and adapts under pressure: Effective in ambiguous, safety-critical environments; you flex your style and bring structure without slowing delivery.
Strong project management: Skilled at planning, prioritising, and managing risk and dependencies across teams.
Exceptional communicator & collaborator: Operating from a remote office, you keep distributed teams aligned across time zones - communicating with clarity, proactively and in writing - and influence without authority across all stakeholders.
Cross-cultural & on the ground: Comfortable working across geographies and cultures, and hands-on with vehicles and operations in Japan; Japanese language skills a plus.
Generalist range: As the only TPM in-country, comfortable flexing beyond robotaxi to support vehicle hardware and software programs; happy wearing multiple hats.
Data-driven: Comfortable defining and using metrics to steer delivery and decisions.
Growth mindset: Open to feedback and always looking to improve.
Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.
Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.
Desirable
Robotaxi / AV operations, fleet, mobility, ride-hailing, or automotive experience; experience launching or scaling a service in market.
Exposure to ML, autonomy, or other compute-heavy / safety-critical domains; experience working across global and local teams. Japanese language skills and/or based in (or willing to relocate to) Yokohama / Tokyo.
An engineering or computer science degree, or experience working as an engineer.
This is a full-time role based in our office in Yokohama / Tokyo, Japan. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a Technical Program Manager for Robotaxi at Wayve, you'll own the programs that bring our robotaxi service to life - from vehicle and fleet readiness to on-the-ground launch and scaling in market. Based in Yokohama, you'll work across autonomy, vehicle software, hardware, operations, safety, and local partners to turn Wayve's AI Driver into a safe, reliable robotaxi service - keeping complex, multi-team, cross-geography delivery predictable in a fast-moving, ambiguous environment. You'll often bridge Wayve's global R&D with local delivery in Japan. As the only TPM on the ground in Japan, this is a generalist role: alongside robotaxi delivery, you'll help support local vehicle programs across hardware and software as needed.\n\nYour impact will be measured by your ability to deliver programs, drive efficiency, manage risk, and align execution with business goals. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.\n\nKey responsibilities:\n\n - Drive program delivery: Own the lifecycle of robotaxi programs - from vehicle and fleet readiness to launch and in-market scaling - improving delivery through structured execution and coordination.\n\n - Manage dependencies & risk: Track and manage dependencies, risks, and trade-offs across autonomy, vehicle, operations, and safety - and escalate early with clear options.\n\n - Coordinate across functions & geographies: Keep engineering, fleet operations, safety, and local partner teams aligned - bridging Wayve's global R&D with local delivery in Japan.\n\n - Support launch & operations on the ground: Provide hands-on program support for robotaxi launch and in-market operations, on the ground in Yokohama.\n\n - Support local vehicle programs: As the only TPM in Japan, flex to support local vehicle hardware and software programs as needed.\n\n - Run delivery rhythms: Run planning, stand-ups, reviews, and retros that keep multi-team delivery predictable and reliable.\n\n - Keep stakeholders aligned: Communicate progress and risk to engineers, partners, and senior leaders, tailoring updates to each audience.\n\n - Champion continuous improvement: Improve tooling, processes, and ways of working, and share patterns across the TPM org\n\n\nABOUT YOU \n\nIn order to set you up for success as a Technical Program Manager for Robotaxi at Wayve, we're looking for the following skills and experience.\n\nEssential\n\n - Bias for action: 5+ years leading complex, multi-team programs (or a strong record at this level). You lead high-complexity work across teams and get things done.\n\n - Technically strong across software and hardware: Credible with engineers across autonomy, vehicle software, and vehicle hardware; you reason about how the AI Driver runs as a robotaxi service on real vehicles - and can support vehicle hardware / software programs too - even though you won't write production code.\n\n - Stays neutral and adapts under pressure: Effective in ambiguous, safety-critical environments; you flex your style and bring structure without slowing delivery.\n\n - Strong project management: Skilled at planning, prioritising, and managing risk and dependencies across teams.\n\n - Exceptional communicator & collaborator: Operating from a remote office, you keep distributed teams aligned across time zones - communicating with clarity, proactively and in writing - and influence without authority across all stakeholders.\n\n - Cross-cultural & on the ground: Comfortable working across geographies and cultures, and hands-on with vehicles and operations in Japan; Japanese language skills a plus.\n\n - Generalist range: As the only TPM in-country, comfortable flexing beyond robotaxi to support vehicle hardware and software programs; happy wearing multiple hats.\n\n - Data-driven: Comfortable defining and using metrics to steer delivery and decisions.\n\n - Growth mindset: Open to feedback and always looking to improve.\n\n - Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.\n\n - Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.\n\nDesirable\n\n - Robotaxi / AV operations, fleet, mobility, ride-hailing, or automotive experience; experience launching or scaling a service in market.\n\n - Exposure to ML, autonomy, or other compute-heavy / safety-critical domains; experience working across global and local teams. Japanese language skills and/or based in (or willing to relocate to) Yokohama / Tokyo.\n\n - An engineering or computer science degree, or experience working as an engineer.\n\nThis is a full-time role based in our office in Yokohama / Tokyo, Japan. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.\n\n \n\nWe understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c0ec8c89-d466-40d9-8da0-86bec490bd0e","title":"Senior Software Engineer, Data & Orchestration","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-09T13:22:46.418+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c0ec8c89-d466-40d9-8da0-86bec490bd0e","applyUrl":"https://jobs.ashbyhq.com/wayve/c0ec8c89-d466-40d9-8da0-86bec490bd0e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
We’re looking for a Senior Software Engineer to join Wayve’s Data and Orchestration team in London, working on the platforms that power our data engineering, orchestration and inference workflows at scale. This team builds the infrastructure that enables partner teams to ingest, process and transform high-volume data from external vendors, vehicle fleets and customer programmes, while ensuring systems are reliable, efficient and easy to use.
A key focus for the role will be the evolution of Wayve’s data pipeline platform, including the revamp of our existing Harness system and the development of a new DAG-based orchestration system designed for our vehicle fleet’s next generation data volumes. You’ll have the opportunity to help shape foundational infrastructure used across the company, supporting high-priority data runs, batch inference, evaluations and business-critical incident response.
Key responsibilities
Design, build and evolve scalable data pipeline and orchestration infrastructure for Wayve’s next-generation autonomous driving data platform
Contribute to the revamp of the existing Harness system and the development of a new DAG-based workflow platform
Build tooling and libraries that make data ingestion, processing, inference and evaluation workflows simple, reliable and consistent across teams
Ensure the platform can run hundreds of parallel pipeline steps efficiently, with correct outputs, no conflicts and effective resource prioritisation
Support batch inference and performance optimisation workflows, helping teams run evaluations in a cost-effective and scalable way
Improve platform reliability, quality and usability, including incident response workflows aligned to business-defined SLOs
Collaborate with partner teams to understand their pipeline requirements and provide the underlying infrastructure that enables them to move quickly
About you
In order to set you up for success as a Senior Software Engineer in Data and Orchestration at Wayve, we’re looking for the following skills and experience.
Essential
7+ years of professional experience in software engineering or a related technical field.
Strong software engineering fundamentals, with experience designing, building and maintaining production-grade systems.
Solid Python programming skills
Good understanding of software engineering best practices, including unit testing, integration testing, test-driven development and data-driven development
Experience working with systems at scale, ideally involving distributed systems, large data volumes or high-throughput processing
Familiarity with distributed event streaming platforms such as Apache Kafka
Understanding of database principles and consistency models, including concepts such as eventual consistency, strong consistency and distributed data systems
Familiarity with traditional databases or data warehouses such as Postgres, ClickHouse or column-oriented databases
Desirable
Experience in data engineering, data platforms, workflow orchestration or pipeline infrastructure
Experience with machine learning infrastructure, inference systems or ML performance optimisation
Exposure to large-scale batch processing, compute scheduling or resource prioritisation
Experience with tools or frameworks such as Ray, Flyte or Spark
Experience building shared libraries, developer tooling or internal platforms used across multiple teams
#LI-HH1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nWe’re looking for a Senior Software Engineer to join Wayve’s Data and Orchestration team in London, working on the platforms that power our data engineering, orchestration and inference workflows at scale. This team builds the infrastructure that enables partner teams to ingest, process and transform high-volume data from external vendors, vehicle fleets and customer programmes, while ensuring systems are reliable, efficient and easy to use.\n\nA key focus for the role will be the evolution of Wayve’s data pipeline platform, including the revamp of our existing Harness system and the development of a new DAG-based orchestration system designed for our vehicle fleet’s next generation data volumes. You’ll have the opportunity to help shape foundational infrastructure used across the company, supporting high-priority data runs, batch inference, evaluations and business-critical incident response.\n\nKey responsibilities\n\n - Design, build and evolve scalable data pipeline and orchestration infrastructure for Wayve’s next-generation autonomous driving data platform\n\n - Contribute to the revamp of the existing Harness system and the development of a new DAG-based workflow platform\n\n - Build tooling and libraries that make data ingestion, processing, inference and evaluation workflows simple, reliable and consistent across teams\n\n - Ensure the platform can run hundreds of parallel pipeline steps efficiently, with correct outputs, no conflicts and effective resource prioritisation\n\n - Support batch inference and performance optimisation workflows, helping teams run evaluations in a cost-effective and scalable way\n\n - Improve platform reliability, quality and usability, including incident response workflows aligned to business-defined SLOs\n\n - Collaborate with partner teams to understand their pipeline requirements and provide the underlying infrastructure that enables them to move quickly\n\nAbout you\n\nIn order to set you up for success as a Senior Software Engineer in Data and Orchestration at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - 7+ years of professional experience in software engineering or a related technical field.\n\n - Strong software engineering fundamentals, with experience designing, building and maintaining production-grade systems. \n\n - Solid Python programming skills\n\n - Good understanding of software engineering best practices, including unit testing, integration testing, test-driven development and data-driven development\n\n - Experience working with systems at scale, ideally involving distributed systems, large data volumes or high-throughput processing\n\n - Familiarity with distributed event streaming platforms such as Apache Kafka\n\n - Understanding of database principles and consistency models, including concepts such as eventual consistency, strong consistency and distributed data systems\n\n - Familiarity with traditional databases or data warehouses such as Postgres, ClickHouse or column-oriented databases\n\nDesirable\n\n - Experience in data engineering, data platforms, workflow orchestration or pipeline infrastructure\n\n - Experience with machine learning infrastructure, inference systems or ML performance optimisation\n\n - Exposure to large-scale batch processing, compute scheduling or resource prioritisation\n\n - Experience with tools or frameworks such as Ray, Flyte or Spark\n\n - Experience building shared libraries, developer tooling or internal platforms used across multiple teams\n\n#LI-HH1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c8c17659-b4b5-4215-8ef0-02016208b118","title":"People Operations Associate","department":"People & Talent","team":"People & Talent","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-09-12T01:49:30.164+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c8c17659-b4b5-4215-8ef0-02016208b118","applyUrl":"https://jobs.ashbyhq.com/wayve/c8c17659-b4b5-4215-8ef0-02016208b118/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As part of our People team, you will help build and run the operational backbone that lets our people do their best work. Across the full employee lifecycle — from onboarding through to offboarding — you’ll keep day-to-day People operations running smoothly and accurately, covering areas such as onboarding, working hours, social and labour insurance, employee documentation and compliance, working closely with the wider team and our external partners.
The most exciting part of this role is that you’ll help shape our People foundations in Japan from an early stage. Rather than simply operating a finished machine, you’ll be working in an environment with plenty of white space — where the way you work directly improves how our processes and systems evolve. There’s real room here to make things better, and it’s largely yours to shape.
In a fast-growing scale-up, we’re looking for someone who enjoys more than just completing set tasks — someone who spots “this could work better” and turns it into reality. Partnering with employees, managers and external providers across a broad range of areas, you’ll naturally develop a wide, cross-functional view of People operations in Japan.
Key responsibilities:
Onboarding: preparing offers and employment contracts, collecting required documents, Day 1 setup, and probation management.
Offboarding: supporting leaver processing and final pay, issuing separation and withholding certificates, equipment return and access removal.
HRIS administration: maintaining employee data, managing leave balances, producing reports, and monitoring PTO uptake.
Working hours: reconciling and operating attendance records, supporting monitoring of the 36-Agreement, and checking submissions and approvals.
Social & labour insurance: enrolments and withdrawals on hire and leave, employment insurance, standard and revised remuneration filings, and the annual labour insurance update (all handled and submitted in partnership with our external providers), plus maternity, childcare and injury/sickness benefits.
Payroll & tax: monthly coordination with our external provider and payroll team, commuting and other allowances, resident tax updates, and supporting the year-end adjustment.
Benefits & health: liaising with benefits vendors, coordinating health checks and stress checks, arranging occupational physician meetings, and setting up and following through on worksite visits.
Letters & certificates: employment contracts and terms notices, employment and salary certificates, and similar documentation.
Compliance: maintaining the employee roster and wage ledger, tracking residence status, managing fixed-term renewals, and supporting audit preparation.
In order to set you up for success as a People Operations Associate at Wayve, we’re looking for the following skills and experience.
Essential
At least one year of experience in a People Operations or HR administrative role, with a solid understanding of the full employee lifecycle.
Knowledge and hands-on experience of Japanese HR administration, including payroll, social and labour insurance, and working-hours management.
Someone who enjoys not just completing set tasks but spotting where things can be improved and making it happen.
Able to manage several tasks in parallel, prioritising effectively to keep work moving.
Strong, considerate communication skills, with the ability to build trust with employees, managers and external partners.
Able to work in both Japanese (fluency is essential, N1 or above) and English (able to work with stakeholders over written and verbal communication).
Desirable
Experience in a start-up or fast-growth environment.
Experience supporting teams across multiple locations or geographies.
Experience using AI tooling to make workflows more efficient.
This is a full-time role based in our office in Tokyo, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
#LI-AF1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs part of our People team, you will help build and run the operational backbone that lets our people do their best work. Across the full employee lifecycle — from onboarding through to offboarding — you’ll keep day-to-day People operations running smoothly and accurately, covering areas such as onboarding, working hours, social and labour insurance, employee documentation and compliance, working closely with the wider team and our external partners.\n\nThe most exciting part of this role is that you’ll help shape our People foundations in Japan from an early stage. Rather than simply operating a finished machine, you’ll be working in an environment with plenty of white space — where the way you work directly improves how our processes and systems evolve. There’s real room here to make things better, and it’s largely yours to shape.\n\nIn a fast-growing scale-up, we’re looking for someone who enjoys more than just completing set tasks — someone who spots “this could work better” and turns it into reality. Partnering with employees, managers and external providers across a broad range of areas, you’ll naturally develop a wide, cross-functional view of People operations in Japan.\n\nKey responsibilities:\n\n - Onboarding: preparing offers and employment contracts, collecting required documents, Day 1 setup, and probation management.\n\n - Offboarding: supporting leaver processing and final pay, issuing separation and withholding certificates, equipment return and access removal.\n\n - HRIS administration: maintaining employee data, managing leave balances, producing reports, and monitoring PTO uptake.\n\n - Working hours: reconciling and operating attendance records, supporting monitoring of the 36-Agreement, and checking submissions and approvals.\n\n - Social & labour insurance: enrolments and withdrawals on hire and leave, employment insurance, standard and revised remuneration filings, and the annual labour insurance update (all handled and submitted in partnership with our external providers), plus maternity, childcare and injury/sickness benefits.\n\n - Payroll & tax: monthly coordination with our external provider and payroll team, commuting and other allowances, resident tax updates, and supporting the year-end adjustment.\n\n - Benefits & health: liaising with benefits vendors, coordinating health checks and stress checks, arranging occupational physician meetings, and setting up and following through on worksite visits.\n\n - Letters & certificates: employment contracts and terms notices, employment and salary certificates, and similar documentation.\n\n - Compliance: maintaining the employee roster and wage ledger, tracking residence status, managing fixed-term renewals, and supporting audit preparation.\n\n\nABOUT YOU \n\nIn order to set you up for success as a People Operations Associate at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - At least one year of experience in a People Operations or HR administrative role, with a solid understanding of the full employee lifecycle.\n\n - Knowledge and hands-on experience of Japanese HR administration, including payroll, social and labour insurance, and working-hours management.\n\n - Someone who enjoys not just completing set tasks but spotting where things can be improved and making it happen.\n\n - Able to manage several tasks in parallel, prioritising effectively to keep work moving.\n\n - Strong, considerate communication skills, with the ability to build trust with employees, managers and external partners.\n\n - Able to work in both Japanese (fluency is essential, N1 or above) and English (able to work with stakeholders over written and verbal communication).\n\nDesirable \n\n - Experience in a start-up or fast-growth environment.\n\n - Experience supporting teams across multiple locations or geographies.\n\n - Experience using AI tooling to make workflows more efficient.\n\nThis is a full-time role based in our office in Tokyo, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\n\n#LI-AF1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"5b9f7ee0-137c-4ee0-9b25-a9a3342452ca","title":"Staff / Senior Machine Learning Engineer, Reinforcement Learning","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-10T17:32:37.329+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/5b9f7ee0-137c-4ee0-9b25-a9a3342452ca","applyUrl":"https://jobs.ashbyhq.com/wayve/5b9f7ee0-137c-4ee0-9b25-a9a3342452ca/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Senior / Staff Machine Learning Engineer in Wayve's AV Core organisation, you will advance reinforcement learning methods for end-to-end driving models. You will identify where learning from reward or feedback can improve beyond behavior cloning, then take promising ideas from design through large-scale experiments, rigorous evaluation, and integration into our best driving models.
Driving Core team develops the learning methods that turn diverse driving data into robust closed-loop behavior. You will be a technical owner for reinforcement learning within the group, working closely with researchers and engineers across AV Core, Simulation, Evaluation, and Product Engineering. Success means producing measurable improvements in driving behavior.
Core Model Safety team develops the core model competencies that enable safe, driverless operation. You will lead the technical direction and delivery of a learned emergency trajectory model for low-frequency, high-consequence maneuvers such as evasive steering and emergency braking. You will take the programme from problem definition through modelling, evaluation, integration, and evidence for deployment.
Key responsibilities
Shape and execute the reinforcement learning roadmap for Driving Core / Core Model Safety, selecting problems and methods against clear behavioral gaps and measurable success criteria.
Develop and evaluate post-behavior-cloning optimization methods, including offline and off-policy reinforcement learning as well as other reward-guided approaches; design the regularization, data strategy, and diagnostics needed to make policies reliably better.
Help improve the reward models and related learning signals used to train and evaluate driving policies, working with partner teams to strengthen their quality, scalability, and downstream usefulness.
Build robust training and experimentation workflows using large-scale driving data; diagnose distribution shift, objective misspecification, optimization instability, and data or evaluation bias.
Define evidence across offline metrics, open-loop tests, closed-loop simulation, and on-road evaluation, and distinguish genuine policy improvement from benchmark overfitting.
Productionize successful methods in the shared ML stack, communicate decisions and results clearly, and raise the technical bar through design reviews, code reviews, and mentoring.
In order to set you up for success as a Staff / Senior Machine Learning Engineer at Wayve, we’re looking for the following skills and experience.
Essential
A strong track record developing and experimentally validating reinforcement learning or closely related sequential decision-making methods on complex, high-dimensional problems.
Deep understanding of modern reinforcement learning fundamentals, including policy and value learning, off-policy learning, function approximation, distribution shift, and the failure modes of learned objectives.
Hands-on experience with behaviour cloning, reinforcement learning, or related methods.
Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable machine learning training and evaluation systems.
Excellent experimental judgement: able to turn an ambiguous behavioral problem into falsifiable hypotheses, useful metrics, disciplined ablations, and clear technical decisions.
Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries, and bring others along through clear written and verbal communication.
Desirable
Experience with offline reinforcement learning, imitation learning, reward modeling, preference learning, or post-training of large neural policies.
Experience in autonomous vehicles, robotics, control, or another domain where policies interact with safety-critical physical systems, including an understanding of motion planning, vehicle dynamics, control, or collision avoidance.
Experience with closed-loop simulation, off-policy evaluation, uncertainty or calibration, and evaluation under rare or shifted conditions.
Experience training multimodal, transformer-based, or generative policy models at scale.
Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems.
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $311,850 to $389,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a Senior / Staff Machine Learning Engineer in Wayve's AV Core organisation, you will advance reinforcement learning methods for end-to-end driving models. You will identify where learning from reward or feedback can improve beyond behavior cloning, then take promising ideas from design through large-scale experiments, rigorous evaluation, and integration into our best driving models.\n\nDriving Core team develops the learning methods that turn diverse driving data into robust closed-loop behavior. You will be a technical owner for reinforcement learning within the group, working closely with researchers and engineers across AV Core, Simulation, Evaluation, and Product Engineering. Success means producing measurable improvements in driving behavior.\n\nCore Model Safety team develops the core model competencies that enable safe, driverless operation. You will lead the technical direction and delivery of a learned emergency trajectory model for low-frequency, high-consequence maneuvers such as evasive steering and emergency braking. You will take the programme from problem definition through modelling, evaluation, integration, and evidence for deployment.\n\nKey responsibilities\n\n - Shape and execute the reinforcement learning roadmap for Driving Core / Core Model Safety, selecting problems and methods against clear behavioral gaps and measurable success criteria.\n\n - Develop and evaluate post-behavior-cloning optimization methods, including offline and off-policy reinforcement learning as well as other reward-guided approaches; design the regularization, data strategy, and diagnostics needed to make policies reliably better.\n\n - Help improve the reward models and related learning signals used to train and evaluate driving policies, working with partner teams to strengthen their quality, scalability, and downstream usefulness.\n\n - Build robust training and experimentation workflows using large-scale driving data; diagnose distribution shift, objective misspecification, optimization instability, and data or evaluation bias.\n\n - Define evidence across offline metrics, open-loop tests, closed-loop simulation, and on-road evaluation, and distinguish genuine policy improvement from benchmark overfitting.\n\n - Productionize successful methods in the shared ML stack, communicate decisions and results clearly, and raise the technical bar through design reviews, code reviews, and mentoring.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Staff / Senior Machine Learning Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - A strong track record developing and experimentally validating reinforcement learning or closely related sequential decision-making methods on complex, high-dimensional problems.\n\n - Deep understanding of modern reinforcement learning fundamentals, including policy and value learning, off-policy learning, function approximation, distribution shift, and the failure modes of learned objectives.\n\n - Hands-on experience with behaviour cloning, reinforcement learning, or related methods.\n\n - Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable machine learning training and evaluation systems.\n\n - Excellent experimental judgement: able to turn an ambiguous behavioral problem into falsifiable hypotheses, useful metrics, disciplined ablations, and clear technical decisions.\n\n - Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries, and bring others along through clear written and verbal communication.\n\nDesirable \n\n - Experience with offline reinforcement learning, imitation learning, reward modeling, preference learning, or post-training of large neural policies.\n\n - Experience in autonomous vehicles, robotics, control, or another domain where policies interact with safety-critical physical systems, including an understanding of motion planning, vehicle dynamics, control, or collision avoidance.\n\n - Experience with closed-loop simulation, off-policy evaluation, uncertainty or calibration, and evaluation under rare or shifted conditions.\n\n - Experience training multimodal, transformer-based, or generative policy models at scale.\n\n - Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems.\n\n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $311,850 to $389,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"8527302e-da7b-4b11-bfef-4ca3e8767937","title":"Platform Engineer","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-09-15T11:44:29.505+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/8527302e-da7b-4b11-bfef-4ca3e8767937","applyUrl":"https://jobs.ashbyhq.com/wayve/8527302e-da7b-4b11-bfef-4ca3e8767937/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a DevOps / Cloud Infrastructure & CI/CD Engineer, you will help build, operate, and improve the cloud platforms, build systems, and continuous integration and delivery infrastructure that support Wayve’s software development lifecycle.
Working as part of a team, you’ll focus on creating reliable, scalable, secure, and efficient environments for software development, testing, deployment, and release. This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure, CI/CD, build systems, developer tooling, automation, observability, and platform engineering.
Build, operate, and improve cloud infrastructure, CI/CD pipelines, and build systems supporting development, testing, and production.
Develop and maintain Infrastructure-as-Code, automation, and developer tooling to enable reliable, repeatable delivery.
Operate and scale CI/CD services, including build agents, runners, artifact storage, and containerised workloads.
Implement observability, monitor system health, and troubleshoot infrastructure, pipeline, and deployment issues.
Work with engineering teams to ensure platforms meet application needs and support scalable software delivery.
Contribute to incident response, root cause analysis, and continuous improvement of infrastructure and operational practices.
Essential
Strong troubleshooting, problem-solving, and communication skills.
5 years of experience in DevOps, cloud infrastructure, CI/CD, build engineering, developer infrastructure, or related engineering roles.
Experience with one or more of the following:
At least one cloud platform, such as Azure, AWS, or GCP.
Infrastructure-as-Code tools, such as Terraform and Ansible.
CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, Buildkite, Azure DevOps, or similar.
Build tooling and concepts including dependency management, caching, incremental builds, and reproducible builds.
Networking, cloud architecture, system reliability, and secure access controls.Experience with Linux, Git, and shell scripting.
Desirable
Experience with build systems such as Bazel, Buildkite, or similar.
Experience operating CI/CD infrastructure at scale, including distributed execution, caching, and artifact management.
Experience with Docker, Kubernetes, and container-based build or deployment environments.
Familiarity with monitoring and observability tools such as Prometheus, Grafana, and ELK.
Understanding of software supply-chain security, secure build practices, and cloud security best practices.
Experience supporting large, multi-language codebases or distributed systems.
Experience improving cloud cost efficiency and operational resilience.
This is a full-time role based in our office in Tokyo, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
#LI-AF1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a DevOps / Cloud Infrastructure & CI/CD Engineer, you will help build, operate, and improve the cloud platforms, build systems, and continuous integration and delivery infrastructure that support Wayve’s software development lifecycle.\nWorking as part of a team, you’ll focus on creating reliable, scalable, secure, and efficient environments for software development, testing, deployment, and release. This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure, CI/CD, build systems, developer tooling, automation, observability, and platform engineering.\n\n\nKEY RESPONSIBILITIES\n\n - Build, operate, and improve cloud infrastructure, CI/CD pipelines, and build systems supporting development, testing, and production.\n\n - Develop and maintain Infrastructure-as-Code, automation, and developer tooling to enable reliable, repeatable delivery.\n\n - Operate and scale CI/CD services, including build agents, runners, artifact storage, and containerised workloads.\n\n - Implement observability, monitor system health, and troubleshoot infrastructure, pipeline, and deployment issues.\n\n - Work with engineering teams to ensure platforms meet application needs and support scalable software delivery.\n\n - Contribute to incident response, root cause analysis, and continuous improvement of infrastructure and operational practices.\n\n\nABOUT YOU\n\nEssential\n\n - Strong troubleshooting, problem-solving, and communication skills.\n\n - 5 years of experience in DevOps, cloud infrastructure, CI/CD, build engineering, developer infrastructure, or related engineering roles.\n\n - Experience with one or more of the following:\n \n - At least one cloud platform, such as Azure, AWS, or GCP.\n \n - Infrastructure-as-Code tools, such as Terraform and Ansible.\n \n - CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, Buildkite, Azure DevOps, or similar.\n \n - Build tooling and concepts including dependency management, caching, incremental builds, and reproducible builds.\n \n - Networking, cloud architecture, system reliability, and secure access controls.Experience with Linux, Git, and shell scripting.\n\n\nDesirable\n\n - Experience with build systems such as Bazel, Buildkite, or similar.\n\n - Experience operating CI/CD infrastructure at scale, including distributed execution, caching, and artifact management.\n\n - Experience with Docker, Kubernetes, and container-based build or deployment environments.\n\n - Familiarity with monitoring and observability tools such as Prometheus, Grafana, and ELK.\n\n - Understanding of software supply-chain security, secure build practices, and cloud security best practices.\n\n - Experience supporting large, multi-language codebases or distributed systems.\n\n - Experience improving cloud cost efficiency and operational resilience.\n\nThis is a full-time role based in our office in Tokyo, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\n\n \n\n\n#LI-AF1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"a4b9361d-f878-450a-a9d3-1a92078327c8","title":"Shift Lead","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-09-11T12:53:10.415+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/a4b9361d-f878-450a-a9d3-1a92078327c8","applyUrl":"https://jobs.ashbyhq.com/wayve/a4b9361d-f878-450a-a9d3-1a92078327c8/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Shift leads are a pivotal layer of management in German Fleet Operations, responsible for ensuring daily operations are conducted with the highest levels of safety and efficiency. They play a crucial role in fostering an inclusive working environment where Vehicle Safety Operators (VSOs) feel their ideas are valued and can voice safety concerns without fear. This role is vital, and candidates must possess exceptional skills and qualifications.
As a Shift Lead, you will be responsible for managing a team of Vehicle Safety Operators to ensure that they are trained, motivated, and performing their roles safely and achieving operational hours.
Key responsibilities
Leadership and Supervision: Lead a team of VSOs during a shift, providing guidance, support, and direction to ensure tasks are completed efficiently and effectively.
Operational Management: Oversee the day-to-day operations within the shift, ensuring they meet the company's standards and goals. This includes managing work schedules, assigning tasks, and monitoring performance and ensuring key KPIs are met.
Performance management: Line manage a group of VSOs who will operate across a rostered shift pattern, ensuring that you have face-to-face, documented contact with each member at least on a monthly basis. Ensure high performance and manage any performance issues.
Safety and Compliance: Ensure all operations comply with company policies and legal regulations. Promote a safe work environment by enforcing safety protocols.
Quality Control: Monitor the quality of on-road testing during a shift to ensure they meet the required standards. Address any issues or discrepancies and highlight them to the Quality Assurance team.
Problem Solving: Identify operational problems and challenges. Develop and implement practical solutions to overcome these issues, ensuring minimal disruption to the operations.
Communication: Serve as the primary point of contact for the operations team during the shift. Communicate effectively with team members, management, and other departments to ensure a cohesive operation.
Reporting and Documentation: Prepare and submit reports on shift activities, including performance metrics, incident reports, and any deviations from the standard operating procedures.
Incident Management: Provide the initial point of contact for an on-road incident and initial ‘Operations Officer’ as per the company Major Incident Management Plan.
Training and Development: Coordinate individual and collective training and development events with the Quality Assurance team.
Continuous Improvement: Continuously seek ways to improve operational efficiency and effectiveness. Implement process improvements and best practices.
In order to set you up for success as a Shift Lead at Wayve, we’re looking for the following skills and experience.
Essential
Full clean German driving licence.
At least 5 years' driving experience in Europe.
You remain calm and controlled in a pressured environment.
You take on board feedback and learn from your mistakes, employing a growth mindset to the way you develop yourself
You enjoy working with people, thriving in a team environment
You know how to manage your wellbeing including fatigue, stress and have personal, proven strategies to do this
Proven experience as a team coordinator or similar role.
Strong leadership and communication skills in a 1:1 capacity, downwards to your team, and upwards and laterally with your other stakeholders
Ability to work under pressure and manage multiple priorities.
Excellent problem-solving skills and attention to detail.
Proficiency in Google Workspace or Microsoft Office suite.
Strong driving skills and knowledge and willingness to continue developing.
All applications are required to disclose any second job as part of the application process.
All applicants will be subject to a health check (before/after) the offer and should disclose any conditions that may affect their ability to safely operate a vehicle.
Employment is contingent upon passing random drug and alcohol testing, in accordance with our Drugs & Alcohol policy.
Fluent in English and German.
Desirable
Prior experience in leading vehicle testing, AV environments, or technical demonstrations.
Knowledge of AV technology or autonomous systems.
T1 and T2 Bertha certification.
Shift leads are expected to be onsite at our Leonberg office during operating hours, conducting meetings remotely from this location. Remote working from other locations is permitted only by exception, with the understanding that shift leads may be required to come to the office at short notice.
This role will be a dedicated shift role, working within a rotating shift model that includes early and late shifts, as well as weekends and public holidays.
6.30 - 15:00
14:30 - 23:00
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nShift leads are a pivotal layer of management in German Fleet Operations, responsible for ensuring daily operations are conducted with the highest levels of safety and efficiency. They play a crucial role in fostering an inclusive working environment where Vehicle Safety Operators (VSOs) feel their ideas are valued and can voice safety concerns without fear. This role is vital, and candidates must possess exceptional skills and qualifications.\n\nAs a Shift Lead, you will be responsible for managing a team of Vehicle Safety Operators to ensure that they are trained, motivated, and performing their roles safely and achieving operational hours.\n\nKey responsibilities\n\n - Leadership and Supervision: Lead a team of VSOs during a shift, providing guidance, support, and direction to ensure tasks are completed efficiently and effectively.\n\n - Operational Management: Oversee the day-to-day operations within the shift, ensuring they meet the company's standards and goals. This includes managing work schedules, assigning tasks, and monitoring performance and ensuring key KPIs are met.\n\n - Performance management: Line manage a group of VSOs who will operate across a rostered shift pattern, ensuring that you have face-to-face, documented contact with each member at least on a monthly basis. Ensure high performance and manage any performance issues.\n\n - Safety and Compliance: Ensure all operations comply with company policies and legal regulations. Promote a safe work environment by enforcing safety protocols.\n\n - Quality Control: Monitor the quality of on-road testing during a shift to ensure they meet the required standards. Address any issues or discrepancies and highlight them to the Quality Assurance team.\n\n - Problem Solving: Identify operational problems and challenges. Develop and implement practical solutions to overcome these issues, ensuring minimal disruption to the operations.\n\n - Communication: Serve as the primary point of contact for the operations team during the shift. Communicate effectively with team members, management, and other departments to ensure a cohesive operation.\n\n - Reporting and Documentation: Prepare and submit reports on shift activities, including performance metrics, incident reports, and any deviations from the standard operating procedures.\n\n - Incident Management: Provide the initial point of contact for an on-road incident and initial ‘Operations Officer’ as per the company Major Incident Management Plan.\n\n - Training and Development: Coordinate individual and collective training and development events with the Quality Assurance team.\n\n - Continuous Improvement: Continuously seek ways to improve operational efficiency and effectiveness. Implement process improvements and best practices.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Shift Lead at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Full clean German driving licence.\n\n - At least 5 years' driving experience in Europe.\n\n - You remain calm and controlled in a pressured environment.\n\n - You take on board feedback and learn from your mistakes, employing a growth mindset to the way you develop yourself\n\n - You enjoy working with people, thriving in a team environment\n\n - You know how to manage your wellbeing including fatigue, stress and have personal, proven strategies to do this\n\n - Proven experience as a team coordinator or similar role.\n\n - Strong leadership and communication skills in a 1:1 capacity, downwards to your team, and upwards and laterally with your other stakeholders\n\n - Ability to work under pressure and manage multiple priorities.\n\n - Excellent problem-solving skills and attention to detail.\n\n - Proficiency in Google Workspace or Microsoft Office suite.\n\n - Strong driving skills and knowledge and willingness to continue developing.\n\n - All applications are required to disclose any second job as part of the application process.\n\n - All applicants will be subject to a health check (before/after) the offer and should disclose any conditions that may affect their ability to safely operate a vehicle.\n\n - Employment is contingent upon passing random drug and alcohol testing, in accordance with our Drugs & Alcohol policy.\n\n - Fluent in English and German.\n\nDesirable \n\n - Prior experience in leading vehicle testing, AV environments, or technical demonstrations.\n\n - Knowledge of AV technology or autonomous systems.\n\n - T1 and T2 Bertha certification.\n\nShift leads are expected to be onsite at our Leonberg office during operating hours, conducting meetings remotely from this location. Remote working from other locations is permitted only by exception, with the understanding that shift leads may be required to come to the office at short notice.\n\nThis role will be a dedicated shift role, working within a rotating shift model that includes early and late shifts, as well as weekends and public holidays.\n\n - 6.30 - 15:00\n\n - 14:30 - 23:00\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"428f1193-8363-4b03-b685-de158dca1eb1","title":"Legal Counsel (Commercial)","department":"Commercial & Operations","team":"Commercial & Operations","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-06-02T10:30:29.807+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/428f1193-8363-4b03-b685-de158dca1eb1","applyUrl":"https://jobs.ashbyhq.com/wayve/428f1193-8363-4b03-b685-de158dca1eb1/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Role
Wayve is looking for a Commercial Counsel based in Sunnyvale, California to support a broad range of commercial matters across the business. This is a mid-level position that will play a critical role in shaping Wayve’s commercial legal function in the United States as we scale globally and bring embodied AI technology into real-world deployment.
This role is ideal for someone who thrives in fast-moving, technology-driven environments and enjoys working at the intersection of commercial contracting, product innovation, and operational scale. While experience in autonomous vehicles, robotics, automotive, or AI would be valuable, it is not essential. We are more interested in candidates with strong foundational commercial skills, sound judgement, and a proven ability to navigate complex contractual landscapes within technology, mobility, or other highly regulated industries.
We are looking for a proactive, commercially minded self-starter who is comfortable operating independently, building scalable processes and frameworks, and partnering closely with senior stakeholders across the business. This role will have significant exposure to cross-border matters and will work closely with commercial, procurement, engineering, product, finance, privacy, and operational teams as the company continues to expand internationally.
Key responsibilities:
This role will support the legal and leadership teams on a wide range of commercial matters, including:
Advising the business on a broad range of commercial matters, with a primary focus on global procurement, supply chain, technology, and vendor management, as well as general US commercial work
Drafting, reviewing, and negotiating a wide range of commercial agreements, including procurement, supplier, services, software/SaaS, data, licensing, consulting, and other operational contracts
Supporting large, complex strategic transactions involving OEM partnerships and Tier 1 suppliers, including development, proofs of concept, integration, deployment, production, and related commercial arrangements
Advising on product, marketing, intellectual property, data privacy, and general corporate matters on an ad hoc basis, in partnership with other members of the Legal Team and external counsel where required
Partnering closely with engineering, procurement, finance, privacy, communications, commercial, and operational teams to provide practical and commercially focused legal advice
Helping to develop scalable processes, templates, playbooks, and governance structures to support Wayve’s growth and contracting volume
Managing external counsel and coordinating cross-border legal advice where required
Supporting strategic initiatives, market expansion, and new product deployments from a commercial legal perspective
Helping to build and shape Wayve’s broader US commercial legal capability as the team grows
Educating and enabling the business on commercial risk, contracting best practices, and legal process matters
About you
In order to set you up for success as a Commercial Counsel at Wayve, we’re looking for the following skills and experience.
Essential
Licensed attorney admitted to practice in California
3+ years of relevant legal experience, with a minimum of 2 years of law firm experience and some in-house experience (preferably at a high-growth B2B tech or AI company)
Strong experience drafting and negotiating complex commercial agreements, including procurement, supply chain, technology, and vendor contracts
Experience supporting strategic commercial transactions and working closely with business stakeholders in fast-moving, technology-driven environments
Excellent legal analysis, pragmatic communication, and stakeholder management skills
Strong commercial judgment and ability to assess legal risk in the context of broader business objectives
Ability to work autonomously, take initiative, and operate effectively in a fast-paced and evolving environment
Experience partnering cross-functionally with senior business stakeholders
Strong organizational and prioritization skills, with the ability to manage multiple workstreams simultaneously
Interest in helping to build and scale Wayve’s US commercial legal capability
Desirable
Experience in one or more of the following areas will be a major plus:
Commercial or product counseling experience within the automotive, mobility, or broader technology sector, particularly at an OEM, Tier 1 supplier, or similarly complex engineering-led organization
Experience supporting OEM, strategic partnership, or other large-scale B2B transactions involving hardware, software, data, or integrated technology solutions
Familiarity with procurement, supply chain, manufacturing, logistics, or other operational contracting matters in a global business
Exposure to autonomous vehicle, AI, product, data privacy, intellectual property, or marketing legal issues
Cross-border commercial advisory experience across the US, the UK, Europe, Asia, or other international markets
Experience helping to establish or scale legal processes, templates, or commercial legal functions within growing businesses
Pay Transparency Disclosure
If based in Wayve’s Sunnyvale office, this role has the annual base salary range stated below.
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
Annual Base Salary Range:
$150,000 - $200,000 USD
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe Role\n\nWayve is looking for a Commercial Counsel based in Sunnyvale, California to support a broad range of commercial matters across the business. This is a mid-level position that will play a critical role in shaping Wayve’s commercial legal function in the United States as we scale globally and bring embodied AI technology into real-world deployment.\n\nThis role is ideal for someone who thrives in fast-moving, technology-driven environments and enjoys working at the intersection of commercial contracting, product innovation, and operational scale. While experience in autonomous vehicles, robotics, automotive, or AI would be valuable, it is not essential. We are more interested in candidates with strong foundational commercial skills, sound judgement, and a proven ability to navigate complex contractual landscapes within technology, mobility, or other highly regulated industries.\n\nWe are looking for a proactive, commercially minded self-starter who is comfortable operating independently, building scalable processes and frameworks, and partnering closely with senior stakeholders across the business. This role will have significant exposure to cross-border matters and will work closely with commercial, procurement, engineering, product, finance, privacy, and operational teams as the company continues to expand internationally.\n\nKey responsibilities:\n\nThis role will support the legal and leadership teams on a wide range of commercial matters, including:\n\n - Advising the business on a broad range of commercial matters, with a primary focus on global procurement, supply chain, technology, and vendor management, as well as general US commercial work\n\n - Drafting, reviewing, and negotiating a wide range of commercial agreements, including procurement, supplier, services, software/SaaS, data, licensing, consulting, and other operational contracts\n\n - Supporting large, complex strategic transactions involving OEM partnerships and Tier 1 suppliers, including development, proofs of concept, integration, deployment, production, and related commercial arrangements\n\n - Advising on product, marketing, intellectual property, data privacy, and general corporate matters on an ad hoc basis, in partnership with other members of the Legal Team and external counsel where required\n\n - Partnering closely with engineering, procurement, finance, privacy, communications, commercial, and operational teams to provide practical and commercially focused legal advice\n\n - Helping to develop scalable processes, templates, playbooks, and governance structures to support Wayve’s growth and contracting volume\n\n - Managing external counsel and coordinating cross-border legal advice where required\n\n - Supporting strategic initiatives, market expansion, and new product deployments from a commercial legal perspective\n\n - Helping to build and shape Wayve’s broader US commercial legal capability as the team grows\n\n - Educating and enabling the business on commercial risk, contracting best practices, and legal process matters\n\nAbout you\n\nIn order to set you up for success as a Commercial Counsel at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Licensed attorney admitted to practice in California\n\n - 3+ years of relevant legal experience, with a minimum of 2 years of law firm experience and some in-house experience (preferably at a high-growth B2B tech or AI company)\n\n - Strong experience drafting and negotiating complex commercial agreements, including procurement, supply chain, technology, and vendor contracts\n\n - Experience supporting strategic commercial transactions and working closely with business stakeholders in fast-moving, technology-driven environments\n\n - Excellent legal analysis, pragmatic communication, and stakeholder management skills\n\n - Strong commercial judgment and ability to assess legal risk in the context of broader business objectives\n\n - Ability to work autonomously, take initiative, and operate effectively in a fast-paced and evolving environment\n\n - Experience partnering cross-functionally with senior business stakeholders\n\n - Strong organizational and prioritization skills, with the ability to manage multiple workstreams simultaneously\n\n - Interest in helping to build and scale Wayve’s US commercial legal capability\n\nDesirable\n\nExperience in one or more of the following areas will be a major plus:\n\n - Commercial or product counseling experience within the automotive, mobility, or broader technology sector, particularly at an OEM, Tier 1 supplier, or similarly complex engineering-led organization\n\n - Experience supporting OEM, strategic partnership, or other large-scale B2B transactions involving hardware, software, data, or integrated technology solutions\n\n - Familiarity with procurement, supply chain, manufacturing, logistics, or other operational contracting matters in a global business\n\n - Exposure to autonomous vehicle, AI, product, data privacy, intellectual property, or marketing legal issues\n\n - Cross-border commercial advisory experience across the US, the UK, Europe, Asia, or other international markets\n\n - Experience helping to establish or scale legal processes, templates, or commercial legal functions within growing businesses\n\n \n\nPay Transparency Disclosure\n\nIf based in Wayve’s Sunnyvale office, this role has the annual base salary range stated below.\n\nJob level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.\n\nAnnual Base Salary Range:\n\n$150,000 - $200,000 USD\n\n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"02628ce9-b78d-48f7-ad0a-689e317e14d4","title":"Machine Learning Engineer, Compiler","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-15T22:12:16.579+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/02628ce9-b78d-48f7-ad0a-689e317e14d4","applyUrl":"https://jobs.ashbyhq.com/wayve/02628ce9-b78d-48f7-ad0a-689e317e14d4/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Wayve is building autonomous driving technology that runs on real vehicles. Getting our models onto embedded hardware — correctly, quickly, and reproducibly — is one of the hardest problems between research and product.
As a ML Compiler Engineer, you will own the compilation pipeline that makes that possible. You will build and extend Wayve's ML compiler end-to-end: designing passes, integrating with vendor toolchains like NVIDIA TensorRT and Qualcomm QNN, and delivering deployable bundles that meet our accuracy and latency requirements on every target platform.
Each stage in the pipeline — capture, decomposition, precision assignment, legalisation, partitioning — can affect accuracy, latency, or whether a vendor backend accepts the graph. Your work spans the full lowering stack, building compiler passes and infrastructure that scale across architectures and target platforms.
Own the ML compilation pipeline end-to-end — from checkpoint to deployable bundle on NVIDIA (TensorRT) and Qualcomm (QNN) targets.
Design and implement compiler passes with accuracy and latency gates, so bad compiles are caught before they reach hardware.
Build compilation infrastructure that scales across platforms, model architectures, and SoCs — without re-engineering for each new target.
Partner with model and training teams on compilability; build regression and benchmarking to validate changes across releases.
Set technical direction and raise the bar for compiler engineering across the team.
You have built or significantly extended ML compilation or graph-lowering pipelines.
You understand multi-stage lowering (capture, decomposition, precision assignment, legalisation) and can debug what breaks at each stage.
Strong proficiency with at least one relevant stack (e.g. MLIR, ONNX, TensorRT, Qualcomm QNN, PyTorch export/capture) and confidence learning adjacent frameworks quickly.
Experience with quantisation in compilation — precision typing, PTQ integration, and tracking down accuracy loss from compiler transforms.
Comfortable from high-level model graphs down to vendor backend constraints; strong Python, with C++ a plus.
Clear communicator who can align cross-functional teams on compilation trade-offs.
Real compiler ownership — full lowering pipeline from checkpoint to deployable bundle, working deeply with TensorRT and QNN.
Hard problems — quantisation preservation through decomposition, cross-SoC precision typing, graph partitioning under speed/accuracy trade-offs, legalisation that does not silently break earlier passes.
Vehicle impact — compiler passes determine what runs on embedded hardware in Wayve's driving product.
Greenfield at Staff level — small team, high leverage, shaping the compilation stack from early stages.
Scalable infrastructure — building pipelines that work across platforms and architectures without starting from scratch each time.
Day-to-day / scope of the role
Own the ML compilation pipeline end-to-end on NVIDIA (TensorRT) and Qualcomm (QNN) targets.
Design and implement compiler passes with accuracy and latency gates.
Extend precision typing and graph-splitting logic for new architectures and SoCs.
Partner with model and training teams on compilability.
Build regression and benchmarking to validate changes across releases.
Set technical direction and mentor on compiler design.
Top hard requirements (skills/experience)
Built or owned significant parts of an ML compilation or graph-lowering pipeline.
Deep experience with quantisation in compilation — precision typing, PTQ integration, debugging accuracy loss from compiler transforms.
Strong Python; comfortable building and testing compiler infrastructure in production codebases.
Proficiency with at least one of: MLIR, ONNX, TensorRT, Qualcomm QNN, PyTorch graph capture/export.
Experience with multi-target compilation or graph partitioning across hardware backends.
Ability to reason about correctness and performance trade-offs at each compiler stage.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWayve is building autonomous driving technology that runs on real vehicles. Getting our models onto embedded hardware — correctly, quickly, and reproducibly — is one of the hardest problems between research and product.\n\nAs a ML Compiler Engineer, you will own the compilation pipeline that makes that possible. You will build and extend Wayve's ML compiler end-to-end: designing passes, integrating with vendor toolchains like NVIDIA TensorRT and Qualcomm QNN, and delivering deployable bundles that meet our accuracy and latency requirements on every target platform.\n\nEach stage in the pipeline — capture, decomposition, precision assignment, legalisation, partitioning — can affect accuracy, latency, or whether a vendor backend accepts the graph. Your work spans the full lowering stack, building compiler passes and infrastructure that scale across architectures and target platforms.\n\n\nKEY RESPONSIBILITIES\n\n - Own the ML compilation pipeline end-to-end — from checkpoint to deployable bundle on NVIDIA (TensorRT) and Qualcomm (QNN) targets.\n\n - Design and implement compiler passes with accuracy and latency gates, so bad compiles are caught before they reach hardware.\n\n - Build compilation infrastructure that scales across platforms, model architectures, and SoCs — without re-engineering for each new target.\n\n - Partner with model and training teams on compilability; build regression and benchmarking to validate changes across releases.\n\n - Set technical direction and raise the bar for compiler engineering across the team.\n\n\nABOUT YOU\n\n - You have built or significantly extended ML compilation or graph-lowering pipelines.\n\n - You understand multi-stage lowering (capture, decomposition, precision assignment, legalisation) and can debug what breaks at each stage.\n\n - Strong proficiency with at least one relevant stack (e.g. MLIR, ONNX, TensorRT, Qualcomm QNN, PyTorch export/capture) and confidence learning adjacent frameworks quickly.\n\n - Experience with quantisation in compilation — precision typing, PTQ integration, and tracking down accuracy loss from compiler transforms.\n\n - Comfortable from high-level model graphs down to vendor backend constraints; strong Python, with C++ a plus.\n\n - Clear communicator who can align cross-functional teams on compilation trade-offs.\n\n - Real compiler ownership — full lowering pipeline from checkpoint to deployable bundle, working deeply with TensorRT and QNN.\n\n - Hard problems — quantisation preservation through decomposition, cross-SoC precision typing, graph partitioning under speed/accuracy trade-offs, legalisation that does not silently break earlier passes.\n\n - Vehicle impact — compiler passes determine what runs on embedded hardware in Wayve's driving product.\n\n - Greenfield at Staff level — small team, high leverage, shaping the compilation stack from early stages.\n\n - Scalable infrastructure — building pipelines that work across platforms and architectures without starting from scratch each time.\n\nDay-to-day / scope of the role\n\n - Own the ML compilation pipeline end-to-end on NVIDIA (TensorRT) and Qualcomm (QNN) targets.\n\n - Design and implement compiler passes with accuracy and latency gates.\n\n - Extend precision typing and graph-splitting logic for new architectures and SoCs.\n\n - Partner with model and training teams on compilability.\n\n - Build regression and benchmarking to validate changes across releases.\n\n - Set technical direction and mentor on compiler design.\n\nTop hard requirements (skills/experience)\n\n 1. Built or owned significant parts of an ML compilation or graph-lowering pipeline.\n\n 2. Deep experience with quantisation in compilation — precision typing, PTQ integration, debugging accuracy loss from compiler transforms.\n\n 3. Strong Python; comfortable building and testing compiler infrastructure in production codebases.\n\n 4. Proficiency with at least one of: MLIR, ONNX, TensorRT, Qualcomm QNN, PyTorch graph capture/export.\n\n 5. Experience with multi-target compilation or graph partitioning across hardware backends.\n\n 6. Ability to reason about correctness and performance trade-offs at each compiler stage.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"32611b61-c453-4ffa-94dc-7808f71a734e","title":"Staff Robotics Engineer, AV Core ","department":"AV Engineering","team":"AV Engineering","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-16T10:04:44.500+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/32611b61-c453-4ffa-94dc-7808f71a734e","applyUrl":"https://jobs.ashbyhq.com/wayve/32611b61-c453-4ffa-94dc-7808f71a734e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Staff Robotics Engineer in Wayve's AV Core organisation, you will lead the technical direction and delivery of fault detection and fallback systems for driverless operation. You will work alongside machine learning experts to build robust systems, and do some ML yourself. Physical AI is not just a learning problem; deployment in the real-world requires deep systems understanding of robotics.
The Core Model Safety team builds foundational capabilities for assisted and automated driving - collision avoidance, model understanding, and robustness under failure. You will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied engineering.
Key responsibilities
Set the technical strategy and roadmap for fault detection and fallback, from a robotics systems perspective, including its behavioral scope, operating envelope, system interfaces, and measurable acceptance criteria.
Design and train fault detection mechanisms using the methods best supported by evidence to enable robust driverless operation.
Collaborate across functions and expertise areas with machine learning, inference optimisation, software engineers, etc.
Lead integration into the shared driving stack, align technical decisions across teams, and raise the bar through architecture reviews, mentoring, and clear communication of risks, trade-offs, and evidence.
Use your judgement and expertise to improve the overall robustness of the robot system (beyond just fault detection and fallback).
Essential
Robotics: Proficiency in developing, implementing, and troubleshooting robotics solutions, backed by practical, real-world experience.
A track record of staff-level technical leadership: setting direction for ambiguous programmes, aligning multiple teams, and carrying work from research through production deployment.
Exceptional technical judgement and communication: able to make safety-relevant trade-offs explicit, define the evidence needed for decisions, and lead without relying on formal authority.
Experience with Python and C++ for robotics.
Desirable
Operating robotics in the real world at scale: Proven experience in deploying and maintaining fleets of robots or vehicles under real-world conditions.
Developing tooling to triage and debug robotic systems: Ability to create and refine data collection and analysis tools.
Cloud infrastructure for monitoring: Experience setting up cloud-based monitoring solutions for large-scale fleets, including dashboards, logging, and real-time alerts.
Knowledge of embedded / real-time systems: Familiarity with low-level hardware interactions and real-time constraints for safety-critical applications.
Experience with machine learning and inference optimisation.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nAs a Staff Robotics Engineer in Wayve's AV Core organisation, you will lead the technical direction and delivery of fault detection and fallback systems for driverless operation. You will work alongside machine learning experts to build robust systems, and do some ML yourself. Physical AI is not just a learning problem; deployment in the real-world requires deep systems understanding of robotics.\n\nThe Core Model Safety team builds foundational capabilities for assisted and automated driving - collision avoidance, model understanding, and robustness under failure. You will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied engineering.\n\nKey responsibilities\n\n - Set the technical strategy and roadmap for fault detection and fallback, from a robotics systems perspective, including its behavioral scope, operating envelope, system interfaces, and measurable acceptance criteria. \n\n - Design and train fault detection mechanisms using the methods best supported by evidence to enable robust driverless operation. \n\n - Collaborate across functions and expertise areas with machine learning, inference optimisation, software engineers, etc. \n\n - Lead integration into the shared driving stack, align technical decisions across teams, and raise the bar through architecture reviews, mentoring, and clear communication of risks, trade-offs, and evidence. \n\n - Use your judgement and expertise to improve the overall robustness of the robot system (beyond just fault detection and fallback). \n\nEssential \n\n - Robotics: Proficiency in developing, implementing, and troubleshooting robotics solutions, backed by practical, real-world experience. \n\n - A track record of staff-level technical leadership: setting direction for ambiguous programmes, aligning multiple teams, and carrying work from research through production deployment. \n\n - Exceptional technical judgement and communication: able to make safety-relevant trade-offs explicit, define the evidence needed for decisions, and lead without relying on formal authority. \n\n - Experience with Python and C++ for robotics. \n\nDesirable \n\n - Operating robotics in the real world at scale: Proven experience in deploying and maintaining fleets of robots or vehicles under real-world conditions. \n\n - Developing tooling to triage and debug robotic systems: Ability to create and refine data collection and analysis tools. \n\n - Cloud infrastructure for monitoring: Experience setting up cloud-based monitoring solutions for large-scale fleets, including dashboards, logging, and real-time alerts. \n\n - Knowledge of embedded / real-time systems: Familiarity with low-level hardware interactions and real-time constraints for safety-critical applications. \n\n - Experience with machine learning and inference optimisation.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"cd061e56-1107-4825-9dff-137aea3fe682","title":"Staff ML Engineer Gaia","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-15T09:22:16.724+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/cd061e56-1107-4825-9dff-137aea3fe682","applyUrl":"https://jobs.ashbyhq.com/wayve/cd061e56-1107-4825-9dff-137aea3fe682/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
Gaia is Wayve’s video world model: trained on large-scale driving video, it predicts future frames from past context—functioning as a simulator that helps generate synthetic scenarios, including rare or safety-critical events. As a Staff ML Engineer on Gaia, you’ll own and drive work on training and improving frontier-scale models trained in-house. This is a high-impact role with the opportunity to tech-lead a key area and help shape the next version of Gaia in a fast-paced, results-focused environment.
Key responsibilities:
Lead and execute large-scale training runs for video (or adjacent) foundation models, from experimental design through production-grade execution
Contribute to model architecture and training strategy, using first-principles understanding rather than “off-the-shelf” application
Improve world-model capabilities that enable synthetic scenario generation and downstream evaluation/training of the driving model
Partner closely with research, applications, simulation engineering, and cloud/infrastructure teams to deliver end-to-end impact
Provide technical leadership through mentorship, review, and setting high engineering/research standards (Senior/Staff scope)
In order to set you up for success as a Staff ML Engineer (Gaia) at Wayve, we’re looking for the following skills and experience.
Essential
In-depth experience training large-scale models (language, video, or other foundation models), including ownership of training at scale
Strong understanding of model architecture and the ability to contribute meaningfully to architectural/training decisions
Strong hands-on engineering skills with modern ML stacks (e.g., PyTorch), including debugging and performance/reliability-minded development
Relevant industry experience (typically 4–5+ years); advanced degrees are valued, but depth of applied experience is important
Desirable
Direct experience with world models, video generation, or long-horizon prediction
Experience improving data/training pipelines and working across infrastructure constraints (distributed training, efficiency, reliability)
Proven technical leadership (tech lead ownership, mentoring, setting direction across an area)
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nGaia is Wayve’s video world model: trained on large-scale driving video, it predicts future frames from past context—functioning as a simulator that helps generate synthetic scenarios, including rare or safety-critical events. As a Staff ML Engineer on Gaia, you’ll own and drive work on training and improving frontier-scale models trained in-house. This is a high-impact role with the opportunity to tech-lead a key area and help shape the next version of Gaia in a fast-paced, results-focused environment.\n\nKey responsibilities:\n\n - Lead and execute large-scale training runs for video (or adjacent) foundation models, from experimental design through production-grade execution\n\n - Contribute to model architecture and training strategy, using first-principles understanding rather than “off-the-shelf” application\n\n - Improve world-model capabilities that enable synthetic scenario generation and downstream evaluation/training of the driving model\n\n - Partner closely with research, applications, simulation engineering, and cloud/infrastructure teams to deliver end-to-end impact\n\n - Provide technical leadership through mentorship, review, and setting high engineering/research standards (Senior/Staff scope)\n\n\nABOUT YOU \n\nIn order to set you up for success as a Staff ML Engineer (Gaia) at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - In-depth experience training large-scale models (language, video, or other foundation models), including ownership of training at scale\n\n - Strong understanding of model architecture and the ability to contribute meaningfully to architectural/training decisions\n\n - Strong hands-on engineering skills with modern ML stacks (e.g., PyTorch), including debugging and performance/reliability-minded development\n\n - Relevant industry experience (typically 4–5+ years); advanced degrees are valued, but depth of applied experience is important\n\nDesirable\n\n - Direct experience with world models, video generation, or long-horizon prediction\n\n - Experience improving data/training pipelines and working across infrastructure constraints (distributed training, efficiency, reliability)\n\n - Proven technical leadership (tech lead ownership, mentoring, setting direction across an area)\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"908a83a4-ee8d-48b0-9314-09949c4608e8","title":"SWE, Data Ingestion ","department":"AI Platform","team":"AI Platform","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-16T15:50:09.806+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/908a83a4-ee8d-48b0-9314-09949c4608e8","applyUrl":"https://jobs.ashbyhq.com/wayve/908a83a4-ee8d-48b0-9314-09949c4608e8/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Role
We are looking for a Data Ingestion Engineer to help build and strengthen the data foundations behind Wayve’s self-driving technology.
At Wayve, we do not hand-code cars to drive. We train them to drive from data. That makes data ingestion one of the most important parts of our learning system. The faster, more reliably and more intelligently we can process real-world driving data, the faster we can improve our models and bring embodied AI into the world.
This is a hands-on permanent role for an engineer who enjoy solving practical, high-impact problems at scale. You will help keep our ingestion pipelines running smoothly, unblock critical data flows, and contribute to the long-term evolution of the systems that support annotation, data science, model training and evaluation.
Our data platform operates at significant scale, with over 500,000 hours of driving data, equating to 100’s of PBs. As our ADAS and autonomy work grows, we need ingestion systems that are robust, efficient and cost-effective. A single bad data segment can block a pipeline, build up queues and slow down downstream teams, so this role has a direct impact on how quickly Wayve’s AI can learn.
Key Responsibilities
You will work within the Data Ingestion team to improve the reliability, efficiency and throughput of the pipelines that move real-world driving data through Wayve.
Debug and resolve failing or blocked ingestion pipelines.
Investigate issues caused by corrupt, malformed or unexpected data.
Design and implement more resilient pipelines so individual bad data segments do not block wider workflows.
Improve how we handle varied data formats from partners, suppliers and third-party sources.
Support orchestration across multi-step ingestion workflows, including dependencies, retries and queue management.
Optimise Spark jobs and data-processing pipelines for throughput, compute efficiency and reliability.
Reduce operational toil around failed jobs, stalled pipelines and manual interventions.
Work on high-volume batch-processing systems where throughput, reliability and cost all matter.
Help prioritise and unblock important datasets for downstream annotation, data science and model training teams.
Partner with engineers across Data Platform and downstream teams to deliver both immediate improvements and scalable long-term solutions.
Contribute to the technical direction, maintainability and operational excellence of Wayve’s ingestion platform.
About You
You are an experienced Data Engineer, Platform Engineer or Distributed Systems Engineer who enjoys working on large-scale production data systems.
You have seen how data pipelines behave in the real world: messy inputs, strange edge cases, corrupt files, stalled queues, unexpected formats and failures that only appear at scale. You are comfortable digging into those problems, finding the root cause and making systems better as a result.
You combine strong technical depth with a practical, collaborative approach. You can take ownership of complex systems, work effectively across teams and balance urgent operational needs with thoughtful, durable engineering improvements.
Essential
Strong production experience with Apache Spark.
Strong Python engineering experience.
Experience building, debugging or operating large-scale data-ingestion, ETL or data-processing pipelines.
Experience with distributed data-processing systems.
Ability to optimise jobs for throughput, compute efficiency and reliability.
Experience debugging production pipeline failures.
Comfort working with messy, corrupt, incomplete or inconsistent data.
Understanding of orchestration across multi-step pipelines and downstream dependencies.
Ability to work independently in a fast-moving, highly technical environment.
A practical, delivery-focused mindset with a focus on continuous improvement.
Experience working at significant data scale, ideally PB-scale or similarly high-throughput environments.
Desirable
Experience in one or more of the following areas would be a strong advantage:
Airflow, Flyte, Databricks Workflows or similar orchestration tooling.
Databricks, Delta Lake or Delta tables.
Scala or Java, especially in Spark-based environments.
Queue-based processing, retry handling and priority data workflows.
High-throughput batch data-processing systems.
Production systems with many data producers, consumers or external data sources.
Handling third-party, partner or supplier data with inconsistent formats and quality issues.
Automotive, robotics, autonomy, mapping, ML data platforms or embodied AI environments.
Cost optimisation for compute- and storage-heavy data platforms.
High-performance engineering experience from domains such as trading, where it includes relevant distributed-systems or throughput-focused work.
This is a full-time, permanent role based in our Sunnyvale, CA office. and the reasonably estimated salary for this role ranges from $210,000 to $250,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
At Wayve, we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe Role\n\nWe are looking for a Data Ingestion Engineer to help build and strengthen the data foundations behind Wayve’s self-driving technology.\n\nAt Wayve, we do not hand-code cars to drive. We train them to drive from data. That makes data ingestion one of the most important parts of our learning system. The faster, more reliably and more intelligently we can process real-world driving data, the faster we can improve our models and bring embodied AI into the world.\n\nThis is a hands-on permanent role for an engineer who enjoy solving practical, high-impact problems at scale. You will help keep our ingestion pipelines running smoothly, unblock critical data flows, and contribute to the long-term evolution of the systems that support annotation, data science, model training and evaluation.\n\nOur data platform operates at significant scale, with over 500,000 hours of driving data, equating to 100’s of PBs. As our ADAS and autonomy work grows, we need ingestion systems that are robust, efficient and cost-effective. A single bad data segment can block a pipeline, build up queues and slow down downstream teams, so this role has a direct impact on how quickly Wayve’s AI can learn.\n\nKey Responsibilities\n\nYou will work within the Data Ingestion team to improve the reliability, efficiency and throughput of the pipelines that move real-world driving data through Wayve.\n\n - Debug and resolve failing or blocked ingestion pipelines.\n\n - Investigate issues caused by corrupt, malformed or unexpected data.\n\n - Design and implement more resilient pipelines so individual bad data segments do not block wider workflows.\n\n - Improve how we handle varied data formats from partners, suppliers and third-party sources.\n\n - Support orchestration across multi-step ingestion workflows, including dependencies, retries and queue management.\n\n - Optimise Spark jobs and data-processing pipelines for throughput, compute efficiency and reliability.\n\n - Reduce operational toil around failed jobs, stalled pipelines and manual interventions.\n\n - Work on high-volume batch-processing systems where throughput, reliability and cost all matter.\n\n - Help prioritise and unblock important datasets for downstream annotation, data science and model training teams.\n\n - Partner with engineers across Data Platform and downstream teams to deliver both immediate improvements and scalable long-term solutions.\n\n - Contribute to the technical direction, maintainability and operational excellence of Wayve’s ingestion platform.\n\nAbout You\n\nYou are an experienced Data Engineer, Platform Engineer or Distributed Systems Engineer who enjoys working on large-scale production data systems.\n\nYou have seen how data pipelines behave in the real world: messy inputs, strange edge cases, corrupt files, stalled queues, unexpected formats and failures that only appear at scale. You are comfortable digging into those problems, finding the root cause and making systems better as a result.\n\nYou combine strong technical depth with a practical, collaborative approach. You can take ownership of complex systems, work effectively across teams and balance urgent operational needs with thoughtful, durable engineering improvements.\n\nEssential\n\n - Strong production experience with Apache Spark.\n\n - Strong Python engineering experience.\n\n - Experience building, debugging or operating large-scale data-ingestion, ETL or data-processing pipelines.\n\n - Experience with distributed data-processing systems.\n\n - Ability to optimise jobs for throughput, compute efficiency and reliability.\n\n - Experience debugging production pipeline failures.\n\n - Comfort working with messy, corrupt, incomplete or inconsistent data.\n\n - Understanding of orchestration across multi-step pipelines and downstream dependencies.\n\n - Ability to work independently in a fast-moving, highly technical environment.\n\n - A practical, delivery-focused mindset with a focus on continuous improvement.\n\n - Experience working at significant data scale, ideally PB-scale or similarly high-throughput environments.\n\nDesirable\n\nExperience in one or more of the following areas would be a strong advantage:\n\n - Airflow, Flyte, Databricks Workflows or similar orchestration tooling.\n\n - Databricks, Delta Lake or Delta tables.\n\n - Scala or Java, especially in Spark-based environments.\n\n - Queue-based processing, retry handling and priority data workflows.\n\n - High-throughput batch data-processing systems.\n\n - Production systems with many data producers, consumers or external data sources.\n\n - Handling third-party, partner or supplier data with inconsistent formats and quality issues.\n\n - Automotive, robotics, autonomy, mapping, ML data platforms or embodied AI environments.\n\n - Cost optimisation for compute- and storage-heavy data platforms.\n\n - High-performance engineering experience from domains such as trading, where it includes relevant distributed-systems or throughput-focused work.\n\nThis is a full-time, permanent role based in our Sunnyvale, CA office. and the reasonably estimated salary for this role ranges from $210,000 to $250,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nAt Wayve, we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.\n\n \n\nAt Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. \n\nFor more information visit Careers at Wayve. https://wayve.ai/careers/\n\nTo learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/\n\nDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"6335b12d-d47b-42cf-aba9-1a7468659f4b","title":"Machine Learning Engineer","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-09-15T11:44:10.369+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/6335b12d-d47b-42cf-aba9-1a7468659f4b","applyUrl":"https://jobs.ashbyhq.com/wayve/6335b12d-d47b-42cf-aba9-1a7468659f4b/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration.
You’ll design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.
Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.
Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
Mentor senior engineers and shape the long-term technical direction across Autonomy.
Extensive and proven track record of shipping deep learning systems to production.
Expert in deep learning (esp. sequential models, control, planning, or perception).
Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.
Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.
Prior work in autonomous driving, imitation learning, or trajectory prediction.
Familiarity with personalization, human behavior modelling, or driver intent inference.
Experience integrating ML systems into production hardware or multi-agent simulation.
This is a full-time role based in our office in Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration.\n\nYou’ll design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.\n\n\nWHAT YOU’LL BE WORKING ON\n\n - Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.\n\n - Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.\n\n - Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.\n\n - Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.\n\n - Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.\n\n - Collaborate cross-functionally across various teams to ensure integration and iteration velocity.\n\n - Mentor senior engineers and shape the long-term technical direction across Autonomy.\n \n \n\n\nABOUT YOU \n\n\nESSENTIAL \n\n - Extensive and proven track record of shipping deep learning systems to production.\n\n - Expert in deep learning (esp. sequential models, control, planning, or perception).\n\n - Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.\n\n - Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.\n\n - Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.\n\n\nDESIRABLE \n\n - Prior work in autonomous driving, imitation learning, or trajectory prediction.\n\n - Familiarity with personalization, human behavior modelling, or driver intent inference.\n\n - Experience integrating ML systems into production hardware or multi-agent simulation.\n \n \n\nThis is a full-time role based in our office in Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"3fb92fd5-1cc5-46cc-bfd6-2dcd807838bc","title":"Data Engineer, Application Software","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Tokyo, Japan","secondaryLocations":[],"publishedAt":"2026-09-15T11:43:33.924+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/3fb92fd5-1cc5-46cc-bfd6-2dcd807838bc","applyUrl":"https://jobs.ashbyhq.com/wayve/3fb92fd5-1cc5-46cc-bfd6-2dcd807838bc/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Data Engineer within the Machine Learning team in Application Software, you’ll contribute to critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration.
You’ll design and deliver scalable data pipelines that transform vast amounts of data from diverse internal and external sources into structured, reliable, and model-ready datasets. Your work will span data ingestion, data quality assurance, transformation, curation, evaluation and ML support. You’ll collaborate deeply with Wayve’s Data Corpus teams and ML engineers to build systems that are performant, adaptable, and ready for production.
Key Responsibilities:
Build and improve scalable data pipelines that support model development, evaluation, and production ML workflows for autonomous driving.
Ingest, transform, and curate large-scale real-world, synthetic, and partner-provided datasets into structured, reliable, and model-ready formats aligned with standardised taxonomies and coordinate systems.
Develop data quality checks, validation processes, and monitoring to ensure both raw data from our vehicle platforms and processed datasets are high-quality, complete, consistent, traceable, and fit for ML use cases.
Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
Improve pipeline performance, reliability, and usability, helping reduce bottlenecks and increase iteration velocity across ML development.
Collaborate closely with Machine Learning engineers, Data Corpus, AI Platform, and external partners to ensure data pipelines integrate effectively with production-scale learning systems.
In order to set you up for success as a Data Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Proven experience building and operating scalable data pipelines or distributed data processing systems in production environments.
Strong software engineering skills in Python, with a solid foundation in maintainable, reliable, and well-tested software development practices.
Proficient in SQL and PySpark, with experience using warehouse/OLAP concepts, window functions, and Spark for distributed data processing.
Experience with modern data pipeline architectures, including workflow orchestration and DAG-based systems such as Airflow, Flyte, Ray, or similar.
Solid understanding of robotics and automated driving data concepts, including sensor characteristics, timestamping and clock synchronisation, coordinate transformations, calibration, and ego-motion signals such as GNSS/IMU and vehicle odometry.
Understanding of machine learning development workflows, including training data generation, evaluation datasets, scenario mining, and model iteration.
Excellent communication and collaborative skills, capable of working effectively with interdisciplinary teams.
Desirable
Prior work in calibration, perception, imitation learning, or trajectory prediction.
Experience with third-party dataset ingestion and transformation.
Familiarity with automated driving data and scenario taxonomies, including ODD definitions, manoeuvre and behavior labels, scene classification, event tagging, semantic understanding.
This is a full-time role based in our office in Tokyo, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a Data Engineer within the Machine Learning team in Application Software, you’ll contribute to critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration.\n\nYou’ll design and deliver scalable data pipelines that transform vast amounts of data from diverse internal and external sources into structured, reliable, and model-ready datasets. Your work will span data ingestion, data quality assurance, transformation, curation, evaluation and ML support. You’ll collaborate deeply with Wayve’s Data Corpus teams and ML engineers to build systems that are performant, adaptable, and ready for production.\n\nKey Responsibilities:\n\n - Build and improve scalable data pipelines that support model development, evaluation, and production ML workflows for autonomous driving.\n\n - Ingest, transform, and curate large-scale real-world, synthetic, and partner-provided datasets into structured, reliable, and model-ready formats aligned with standardised taxonomies and coordinate systems.\n\n - Develop data quality checks, validation processes, and monitoring to ensure both raw data from our vehicle platforms and processed datasets are high-quality, complete, consistent, traceable, and fit for ML use cases.\n\n - Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.\n\n - Improve pipeline performance, reliability, and usability, helping reduce bottlenecks and increase iteration velocity across ML development.\n\n - Collaborate closely with Machine Learning engineers, Data Corpus, AI Platform, and external partners to ensure data pipelines integrate effectively with production-scale learning systems.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Data Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Proven experience building and operating scalable data pipelines or distributed data processing systems in production environments.\n\n - Strong software engineering skills in Python, with a solid foundation in maintainable, reliable, and well-tested software development practices.\n\n - Proficient in SQL and PySpark, with experience using warehouse/OLAP concepts, window functions, and Spark for distributed data processing.\n\n - Experience with modern data pipeline architectures, including workflow orchestration and DAG-based systems such as Airflow, Flyte, Ray, or similar.\n\n - Solid understanding of robotics and automated driving data concepts, including sensor characteristics, timestamping and clock synchronisation, coordinate transformations, calibration, and ego-motion signals such as GNSS/IMU and vehicle odometry.\n\n - Understanding of machine learning development workflows, including training data generation, evaluation datasets, scenario mining, and model iteration.\n\n - Excellent communication and collaborative skills, capable of working effectively with interdisciplinary teams.\n\nDesirable \n\n - Prior work in calibration, perception, imitation learning, or trajectory prediction.\n\n - Experience with third-party dataset ingestion and transformation.\n\n - Familiarity with automated driving data and scenario taxonomies, including ODD definitions, manoeuvre and behavior labels, scene classification, event tagging, semantic understanding.\n\nThis is a full-time role based in our office in Tokyo, Japan. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"88f800a1-7109-4965-b350-f8e2f3223d2a","title":"Data Scientist, Data Quality & Provenance","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-09-16T16:36:56.552+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/88f800a1-7109-4965-b350-f8e2f3223d2a","applyUrl":"https://jobs.ashbyhq.com/wayve/88f800a1-7109-4965-b350-f8e2f3223d2a/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.
This means you might:
Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements
3+ years experience working in a Data Science role.
Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
Track record of influencing team direction through your findings
A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
Comfortable working asynchronously across time zones with cross-functional partners
You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.
Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production.
Track record of promoting statistical rigour and experimental best practices in your prior roles.
Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
Experience working in a fast-moving tech company or startup.
This role is a full-time role based in Stuttgart, Germany. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nAs a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.\n\nThis means you might:\n\n - Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success\n\n - Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance\n\n - Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements\n\n\nABOUT YOU\n\n\nESSENTIAL:\n\n - 3+ years experience working in a Data Science role.\n\n - Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.\n\n - Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics\n\n - Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats\n\n - Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)\n\n - Well-versed in summarising, visualising and communicating findings in an accessible and compelling way\n\n - Track record of influencing team direction through your findings\n\n - A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.\n\n - Comfortable working asynchronously across time zones with cross-functional partners\n\n - You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.\n\n\nDESIRABLE:\n\n - Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production.\n\n - Track record of promoting statistical rigour and experimental best practices in your prior roles.\n\n - Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.\n\n - Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)\n\n - Experience working in a fast-moving tech company or startup.\n\nThis role is a full-time role based in Stuttgart, Germany. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"f0c54810-4391-4965-93ca-2000a24199b6","title":"Staff Software Engineer, Data Enrichment Platform","department":"Simulation, Evaluation, Validation","team":"Simulation, Evaluation, Validation","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-16T16:03:40.494+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/f0c54810-4391-4965-93ca-2000a24199b6","applyUrl":"https://jobs.ashbyhq.com/wayve/f0c54810-4391-4965-93ca-2000a24199b6/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
As a Staff Software Engineer for the Data Enrichment Platform, you will own the technical vision for the systems that enable Wayve’s teams to deploy, run, evaluate and continually improve machine-learning models. You will shape a platform that processes petabytes of driving data, operates across large GPU fleets and supports dozens of model engineers. Working across model engineering, infrastructure, compute and data teams, you will create dependable, self-service capabilities that improve model quality while reducing cost and operational effort.
Key responsibilities:
Define the technical vision and architecture for Wayve’s end-to-end Data Enrichment Platform.
Lead the development of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities and dataset catalogues.
Build scalable and reliable systems for large-scale inference, automated evaluation, model monitoring, active learning and retraining.
Partner with platform teams to address data locality, scheduling, capacity, backpressure, failure recovery, observability and cost across petabyte-scale datasets and large GPU fleets.
Make effective build, buy, reuse, integrate, consolidate and replace decisions as Wayve’s requirements and the technology landscape evolve.
Establish clear technical boundaries and working relationships across AI Platform, infrastructure, compute, storage, data and model-engineering teams.
Remain hands-on while leading cross-team delivery, mentoring engineers and driving the adoption of reusable, self-service platform capabilities.
Define measurable service levels and success metrics covering platform reliability, throughput, cost, automation and adoption.
About you
In order to set you up for success as a Staff Software Engineer for the Data Enrichment Platform at Wayve, we’re looking for the following skills and experience.
Essential
Experience owning the long-term technical direction and measurable outcomes of a complex, multi-system platform or capability.
Strong production software-engineering experience in Python, including building maintainable, tested and observable backend services, APIs and data-processing systems.
Deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads.
A track record of productising internal platforms for broad adoption, with a focus on reliability, usability and self-service.
Excellent architecture and technology judgement, combined with the ability to remain hands-on and lead delivery across organisational boundaries.
Strong communication and influencing skills, with experience mentoring senior engineers and aligning multiple technical teams.
Desirable
Experience with workflow-orchestration technologies such as Flyte, Airflow, Dagster or Argo.
Experience building large-scale batch-inference or ML-platform systems, including model deployment and model registries.
Knowledge of Spark, Databricks, Ray or comparable distributed-compute technologies.
Experience with annotation or dataset-catalogue platforms, including metadata, provenance, versioning, lineage and quality control.
Experience with Kubernetes, GPU infrastructure and cost-aware cloud architecture.
Experience implementing continuous evaluation, model-quality monitoring, active-learning or automated retraining workflows.
Experience designing or operating production platforms for robotics or computer-vision workloads, with an understanding of how data, annotation, inference, evaluation and monitoring fit together. Relevant workloads could include object detection, depth estimation, segmentation, tracking, sensor data or 3D models; computer-vision research expertise is not required.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nAs a Staff Software Engineer for the Data Enrichment Platform, you will own the technical vision for the systems that enable Wayve’s teams to deploy, run, evaluate and continually improve machine-learning models. You will shape a platform that processes petabytes of driving data, operates across large GPU fleets and supports dozens of model engineers. Working across model engineering, infrastructure, compute and data teams, you will create dependable, self-service capabilities that improve model quality while reducing cost and operational effort.\n\nKey responsibilities:\n\n - Define the technical vision and architecture for Wayve’s end-to-end Data Enrichment Platform.\n\n - Lead the development of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities and dataset catalogues.\n\n - Build scalable and reliable systems for large-scale inference, automated evaluation, model monitoring, active learning and retraining.\n\n - Partner with platform teams to address data locality, scheduling, capacity, backpressure, failure recovery, observability and cost across petabyte-scale datasets and large GPU fleets.\n\n - Make effective build, buy, reuse, integrate, consolidate and replace decisions as Wayve’s requirements and the technology landscape evolve.\n\n - Establish clear technical boundaries and working relationships across AI Platform, infrastructure, compute, storage, data and model-engineering teams.\n\n - Remain hands-on while leading cross-team delivery, mentoring engineers and driving the adoption of reusable, self-service platform capabilities.\n\n - Define measurable service levels and success metrics covering platform reliability, throughput, cost, automation and adoption.\n\nAbout you\n\nIn order to set you up for success as a Staff Software Engineer for the Data Enrichment Platform at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Experience owning the long-term technical direction and measurable outcomes of a complex, multi-system platform or capability.\n\n - Strong production software-engineering experience in Python, including building maintainable, tested and observable backend services, APIs and data-processing systems.\n\n - Deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads.\n\n - A track record of productising internal platforms for broad adoption, with a focus on reliability, usability and self-service.\n\n - Excellent architecture and technology judgement, combined with the ability to remain hands-on and lead delivery across organisational boundaries.\n\n - Strong communication and influencing skills, with experience mentoring senior engineers and aligning multiple technical teams.\n\nDesirable\n\n - Experience with workflow-orchestration technologies such as Flyte, Airflow, Dagster or Argo.\n\n - Experience building large-scale batch-inference or ML-platform systems, including model deployment and model registries.\n\n - Knowledge of Spark, Databricks, Ray or comparable distributed-compute technologies.\n\n - Experience with annotation or dataset-catalogue platforms, including metadata, provenance, versioning, lineage and quality control.\n\n - Experience with Kubernetes, GPU infrastructure and cost-aware cloud architecture.\n\n - Experience implementing continuous evaluation, model-quality monitoring, active-learning or automated retraining workflows.\n\n - Experience designing or operating production platforms for robotics or computer-vision workloads, with an understanding of how data, annotation, inference, evaluation and monitoring fit together. Relevant workloads could include object detection, depth estimation, segmentation, tracking, sensor data or 3D models; computer-vision research expertise is not required.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"7d5cfacd-fd01-40d1-8009-fa02ef6b788e","title":"Staff Machine Learning Scientist/Engineer","department":"Wayve Labs","team":"Wayve Labs","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-15T14:36:56.382+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/7d5cfacd-fd01-40d1-8009-fa02ef6b788e","applyUrl":"https://jobs.ashbyhq.com/wayve/7d5cfacd-fd01-40d1-8009-fa02ef6b788e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
We are looking for a Research Scientist to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member.
MEGA is building foundation models for general-purpose robots: models that learn from large-scale video, language, and robot-interaction data, then generalize across tasks and embodiments—including mobile manipulators, dual-arm platforms, and humanoids. Our aim is to build agents that can perceive, reason about, and act reliably in the physical world.
You will help define and build the foundation-model learning stack for robotics: novel model architectures, pre-training objectives, post-training methods, and scalable data and training systems. The work combines frontier ML research with a direct route to real-world evaluation on a growing fleet of robots.
Your work may span vision-language-action models, world and action models, video and multimodal models, imitation learning, reinforcement learning, and self-supervised learning. You will work with large-scale video and robotics datasets and distributed training infrastructure to develop increasingly capable, robust, and general robot policies.
You will collaborate with research scientists, ML engineers, roboticists, and hardware teams to turn promising ideas into large-scale experiments, strong research contributions, and compelling robot demonstrations. This is an opportunity to take meaningful ownership of a new ML-first research program at the frontier of foundation models and embodied intelligence.
Key responsibilities
Research and develop model architectures, learning objectives, and data strategies for robot foundation models.
Empirical research experience – experience hill climbing on ML models.
Experience with various data sources – annotation, filtering, mixing strategies.
Develop scalable self-supervised and generative pre-training methods using web video, egocentric video, and robot-interaction data.
Develop post-training approaches—including supervised fine-tuning, imitation learning, reinforcement learning, and related methods—to improve real-world robot capabilities.
Curate, filter, and evaluate large-scale robotics datasets, including egocentric, UMI, and teleoperated data.
Build and use distributed training pipelines for large models and large multimodal datasets.
Work closely with robotics and hardware teams to connect model progress to measurable real-world performance.
Communicate research clearly internally and, where appropriate, through publications and Wayve’s scientific presence.
About you
In order to set you up for success as a Research Scientist at Wayve, we’re looking for the following skills and experience.
Essential
Experience in machine learning, with focus in multimodal foundation models and data for foundation models.
Experience with scalable training, such as multi-node training, large datasets and/or large model training.
Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML or ICLR.
Strong engineering skills and hands-on experience with modern machine learning frameworks.
Ability to design and run rigorous experiments while collaborating closely with engineering and robotics teams.
Experience translating research ideas into working systems, experiments or deployed capabilities.
Strong communication skills and the ability to share research clearly across teams
Desirable
PhD or MS in Computer Science, Machine Learning, Robotics, Computer Vision or a related technical field.
Industry experience in machine learning, robotics, embodied AI or related applied research environments.
Experience with real robots, robotic learning, embodied AI, simulation or policy learning.
Experience working with large-scale video data and sequential decision-making systems.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $370,000 to $419,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nWe are looking for a Research Scientist to join the Multi-Embodiment Generalist Agent (MEGA) team within Wayve Science as a founding member.\n\nMEGA is building foundation models for general-purpose robots: models that learn from large-scale video, language, and robot-interaction data, then generalize across tasks and embodiments—including mobile manipulators, dual-arm platforms, and humanoids. Our aim is to build agents that can perceive, reason about, and act reliably in the physical world.\n\nYou will help define and build the foundation-model learning stack for robotics: novel model architectures, pre-training objectives, post-training methods, and scalable data and training systems. The work combines frontier ML research with a direct route to real-world evaluation on a growing fleet of robots.\n\nYour work may span vision-language-action models, world and action models, video and multimodal models, imitation learning, reinforcement learning, and self-supervised learning. You will work with large-scale video and robotics datasets and distributed training infrastructure to develop increasingly capable, robust, and general robot policies.\n\nYou will collaborate with research scientists, ML engineers, roboticists, and hardware teams to turn promising ideas into large-scale experiments, strong research contributions, and compelling robot demonstrations. This is an opportunity to take meaningful ownership of a new ML-first research program at the frontier of foundation models and embodied intelligence.\n\nKey responsibilities\n\n - Research and develop model architectures, learning objectives, and data strategies for robot foundation models.\n\n - Empirical research experience – experience hill climbing on ML models.\n\n - Experience with various data sources – annotation, filtering, mixing strategies.\n\n - Develop scalable self-supervised and generative pre-training methods using web video, egocentric video, and robot-interaction data.\n\n - Develop post-training approaches—including supervised fine-tuning, imitation learning, reinforcement learning, and related methods—to improve real-world robot capabilities.\n\n - Curate, filter, and evaluate large-scale robotics datasets, including egocentric, UMI, and teleoperated data.\n\n - Build and use distributed training pipelines for large models and large multimodal datasets.\n\n - Work closely with robotics and hardware teams to connect model progress to measurable real-world performance.\n\n - Communicate research clearly internally and, where appropriate, through publications and Wayve’s scientific presence.\n\nAbout you\n\nIn order to set you up for success as a Research Scientist at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Experience in machine learning, with focus in multimodal foundation models and data for foundation models.\n\n - Experience with scalable training, such as multi-node training, large datasets and/or large model training.\n\n - Strong research track record, including publications in top-tier venues such as ICRA, CoRL, CVPR, NeurIPS, ICML or ICLR.\n\n - Strong engineering skills and hands-on experience with modern machine learning frameworks.\n\n - Ability to design and run rigorous experiments while collaborating closely with engineering and robotics teams.\n\n - Experience translating research ideas into working systems, experiments or deployed capabilities.\n\n - Strong communication skills and the ability to share research clearly across teams\n\nDesirable\n\n - PhD or MS in Computer Science, Machine Learning, Robotics, Computer Vision or a related technical field.\n\n - Industry experience in machine learning, robotics, embodied AI or related applied research environments.\n\n - Experience with real robots, robotic learning, embodied AI, simulation or policy learning.\n\n - Experience working with large-scale video data and sequential decision-making systems.\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $370,000 to $419,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"245e741b-954f-4287-a0d8-6f27e5f4ec3c","title":"Senior Software Engineer - Platform Integration, Robot Software","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-16T20:09:50.598+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/245e741b-954f-4287-a0d8-6f27e5f4ec3c","applyUrl":"https://jobs.ashbyhq.com/wayve/245e741b-954f-4287-a0d8-6f27e5f4ec3c/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As a Software Engineer on the Platform Integration Team, you will play a key role in the hands-on software bring-up of new vehicle programs, helping turn them into stable, reliable robot systems. Alongside integration activities, you’ll design and deliver improvements to vehicle-facing software components and frameworks that make future integrations faster, more predictable, and less bespoke. This is a highly technical engineering role within our Robot Software group, where your work directly enables safe, scalable deployment across multiple vehicle programs
Key responsibilities:
Contribute to the software bring-up of new vehicle programs, supporting bench, HIL, and on-vehicle integration activities, including hands-on work at international test locations.
Design, develop, and maintain vehicle-facing software components and shared frameworks that improve reliability, abstraction, and reuse across vehicle programs.
Improve the stability of early-stage vehicles by diagnosing integration issues, implementing fixes where appropriate, and driving issues through to resolution with relevant teams.
Identify and deliver architectural improvements that reduce bespoke changes and make future vehicle integrations faster and more predictable.
Build and maintain tooling, diagnostics, and metrics to monitor robot software performance and enable continuous reliability improvements.
Produce clear documentation and runbooks to support knowledge transfer and long-term maintainability.
Collaborate closely with hardware, safety, controls, calibration, and reliability teams to ensure smooth and scalable vehicle software integration.
In order to set you up for success as a Software Engineer on the Platform Integration Team at Wayve, we’re looking for the following skills and experience:
Essential
Strong software development experience in C++, Python, and/or Rust, with a track record of delivering production-quality systems.
Experience developing and debugging software on Linux-based robotic or automotive platforms, including multi-process or distributed systems.
Experience with ROS2 or similar robotics middleware, including node development, message interfaces, and system integration.
Hands-on experience integrating software with vehicle or embedded hardware, including debugging using logs, telemetry, and on-target testing.
Practical experience working with vehicle sensors, including topics such as calibration, synchronisation, and data validation.
Experience working with automotive-grade high-performance compute platforms (e.g., NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded SoCs).
Strong systems-level debugging skills, with the ability to diagnose and resolve complex integration issues across software and hardware boundaries.
Familiarity with vehicle communication systems (e.g. CAN, Automotive Ethernet) and associated debugging tools.
Desirable
Experience with drive-by-wire systems or other safety-critical control interfaces.
Familiarity with state-of-the-art automotive bus analyzing tools (Vector CANoe/ CANalyzer/ Kvaser)
Experience building or evolving shared frameworks, libraries, or internal platforms used by multiple teams.
Experience improving system architecture to reduce technical debt and increase reuse across projects.
Experience with hardware-in-the-loop (HIL) or simulation environments for integration and validation.
Exposure to functional safety concepts or development within safety-critical systems.
Experience writing clear technical documentation, integration guides, or operational runbooks.
Experience contributing to observability, logging, or system metrics for reliability and performance monitoring.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,000 to $260,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs a Software Engineer on the Platform Integration Team, you will play a key role in the hands-on software bring-up of new vehicle programs, helping turn them into stable, reliable robot systems. Alongside integration activities, you’ll design and deliver improvements to vehicle-facing software components and frameworks that make future integrations faster, more predictable, and less bespoke. This is a highly technical engineering role within our Robot Software group, where your work directly enables safe, scalable deployment across multiple vehicle programs\n\nKey responsibilities:\n\n - Contribute to the software bring-up of new vehicle programs, supporting bench, HIL, and on-vehicle integration activities, including hands-on work at international test locations.\n\n - Design, develop, and maintain vehicle-facing software components and shared frameworks that improve reliability, abstraction, and reuse across vehicle programs.\n\n - Improve the stability of early-stage vehicles by diagnosing integration issues, implementing fixes where appropriate, and driving issues through to resolution with relevant teams.\n\n - Identify and deliver architectural improvements that reduce bespoke changes and make future vehicle integrations faster and more predictable.\n\n - Build and maintain tooling, diagnostics, and metrics to monitor robot software performance and enable continuous reliability improvements.\n\n - Produce clear documentation and runbooks to support knowledge transfer and long-term maintainability.\n\n - Collaborate closely with hardware, safety, controls, calibration, and reliability teams to ensure smooth and scalable vehicle software integration.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Software Engineer on the Platform Integration Team at Wayve, we’re looking for the following skills and experience: \n\nEssential \n\n - Strong software development experience in C++, Python, and/or Rust, with a track record of delivering production-quality systems.\n\n - Experience developing and debugging software on Linux-based robotic or automotive platforms, including multi-process or distributed systems.\n\n - Experience with ROS2 or similar robotics middleware, including node development, message interfaces, and system integration.\n\n - Hands-on experience integrating software with vehicle or embedded hardware, including debugging using logs, telemetry, and on-target testing.\n\n - Practical experience working with vehicle sensors, including topics such as calibration, synchronisation, and data validation.\n\n - Experience working with automotive-grade high-performance compute platforms (e.g., NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded SoCs).\n\n - Strong systems-level debugging skills, with the ability to diagnose and resolve complex integration issues across software and hardware boundaries.\n\n - Familiarity with vehicle communication systems (e.g. CAN, Automotive Ethernet) and associated debugging tools.\n\nDesirable \n\n - Experience with drive-by-wire systems or other safety-critical control interfaces.\n\n - Familiarity with state-of-the-art automotive bus analyzing tools (Vector CANoe/ CANalyzer/ Kvaser)\n\n - Experience building or evolving shared frameworks, libraries, or internal platforms used by multiple teams.\n\n - Experience improving system architecture to reduce technical debt and increase reuse across projects.\n\n - Experience with hardware-in-the-loop (HIL) or simulation environments for integration and validation.\n\n - Exposure to functional safety concepts or development within safety-critical systems.\n\n - Experience writing clear technical documentation, integration guides, or operational runbooks.\n\n - Experience contributing to observability, logging, or system metrics for reliability and performance monitoring.\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,000 to $260,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c58f5752-6da4-4b0e-bffd-d2ecb09490bd","title":"Staff Software Engineer - OS, Robot Software","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-16T16:16:17.482+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c58f5752-6da4-4b0e-bffd-d2ecb09490bd","applyUrl":"https://jobs.ashbyhq.com/wayve/c58f5752-6da4-4b0e-bffd-d2ecb09490bd/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.
The OS team within Robot Software are the curators of Wayve's bespoke Linux distribution, which is installed across our ever-expanding development fleet. The team works closely with various groups across Wayve, including other parts of Robot Software, the hardware and supply chain teams, and our field engineering and reliability engineering teams. The team's responsibilities include developing and maintaining our Linux distribution using Yocto, creating and updating Linux kernel drivers for new hardware sensors and peripherals, and hardening our development fleet against all forms of cyber attack.
Key responsibilities:
Expertise in Linux: Own the creation and maintenance of Linux kernel and device drivers.
Collaborate with technical and business stakeholders: Work with Product, Project, and Engineering management to advise and build the right solution
Software Development: Build and deliver software in C++ with high quality and reliability. Create software which is observable and debuggable when running on a device 2000 km away and with limited connectivity.
Fault Tolerance and Diagnostics: Create robust, fault-tolerant software solutions with comprehensive system diagnostics to enable us to quickly and efficiently resolve any issues preventing our deployed fleet from operating at maximum capacity.
Drive a strong engineering culture: Lead by example as you demonstrate best practices for: testing, documentation, ease-of-use, technical (and non-technical) tooling, mentorship, and collaboration.
In order to set you up for success as a Staff Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C and C++. Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization.
Linux Expertise: Familiarity with embedded Linux (kernel, device tree), build systems (Yocto), boot sequence, secured boot and user space application software development.
Debugging Skills: Ability to delve deep into performance issues, stack traces, core dumps, slow disk writes, high system load, memory bottlenecks, external device bottlenecks, and threading issues.
IPC Middleware Knowledge: Strong understanding IPC mechanisms and how to optimally use and configure IPC middleware for high data throughput robotics applications (e.g. with frameworks such as ROS).
Desirable
Experience with robotics or automotive frameworks such as Nvidia Jetson or Nvidia Drive.
Experience with embedded real time (RT) OS such as QNX.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $210,00 to $290,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.\n\nThe OS team within Robot Software are the curators of Wayve's bespoke Linux distribution, which is installed across our ever-expanding development fleet. The team works closely with various groups across Wayve, including other parts of Robot Software, the hardware and supply chain teams, and our field engineering and reliability engineering teams. The team's responsibilities include developing and maintaining our Linux distribution using Yocto, creating and updating Linux kernel drivers for new hardware sensors and peripherals, and hardening our development fleet against all forms of cyber attack.\n\nKey responsibilities:\n\n - Expertise in Linux: Own the creation and maintenance of Linux kernel and device drivers.\n\n - Collaborate with technical and business stakeholders: Work with Product, Project, and Engineering management to advise and build the right solution\n\n - Software Development: Build and deliver software in C++ with high quality and reliability. Create software which is observable and debuggable when running on a device 2000 km away and with limited connectivity.\n\n - Fault Tolerance and Diagnostics: Create robust, fault-tolerant software solutions with comprehensive system diagnostics to enable us to quickly and efficiently resolve any issues preventing our deployed fleet from operating at maximum capacity.\n\n - Drive a strong engineering culture: Lead by example as you demonstrate best practices for: testing, documentation, ease-of-use, technical (and non-technical) tooling, mentorship, and collaboration.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Staff Software Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential \n\n - Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C and C++. Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization.\n\n - Linux Expertise: Familiarity with embedded Linux (kernel, device tree), build systems (Yocto), boot sequence, secured boot and user space application software development.\n\n - Debugging Skills: Ability to delve deep into performance issues, stack traces, core dumps, slow disk writes, high system load, memory bottlenecks, external device bottlenecks, and threading issues.\n\n - IPC Middleware Knowledge: Strong understanding IPC mechanisms and how to optimally use and configure IPC middleware for high data throughput robotics applications (e.g. with frameworks such as ROS).\n\nDesirable \n\n - Experience with robotics or automotive frameworks such as Nvidia Jetson or Nvidia Drive.\n\n - Experience with embedded real time (RT) OS such as QNX. \n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $210,00 to $290,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"0947dbe9-c093-469c-81df-0c642e5533b9","title":"Field Engineer","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-09-18T11:32:59.005+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/0947dbe9-c093-469c-81df-0c642e5533b9","applyUrl":"https://jobs.ashbyhq.com/wayve/0947dbe9-c093-469c-81df-0c642e5533b9/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Field Engineer is a hands-on technical contributor responsible for diagnosing and resolving vehicle software and hardware issues to keep the fleet operational. They will play a critical role in rapid fault triage, ensuring a 5-minute response time while strictly adhering to safety protocols. Working closely with fellow engineers and global teams, they will contribute to seamless operations through effective communication and problem-solving. As part of a newly established function within Fleet Operations, the Field Engineer will help refine processes and drive efficiency in a fast-paced, high-impact environment.
Key responsibilities:
Perform on-site fault triage and resolution, diagnosing and repairing vehicle software and hardware issues quickly to maintain fleet uptime.
Follow structured fault diagnosis and repair protocols, ensuring all work is carried out efficiently and in alignment with operational workflows.
Collaborate with fellow field engineers and cross-functional teams to troubleshoot and resolve technical issues effectively.
Respond rapidly to issues, meeting the 5-minute issue response to keep vehicles operational and our teams feeling adequately supported.
Maintain clear communication with the Field Engineering Lead, providing updates on ongoing repairs and ensuring smooth handovers across geographical locations.
Participate in on-call rotations, assisting with technical support and issue resolution across multiple regions as part of a 24/7 global support network.
Adhere to strict safety and compliance protocols, ensuring all fault triage, diagnosis, and repairs follow the correct procedures and approvals.
Contribute to continuous improvement efforts, identifying operational challenges and providing feedback to optimise field engineering support and efficiency.
In order to set you up for success as a Field Engineer at Wayve, we’re looking for the following skills and experience.
Essential:
Full German driving licence.
Technical Expertise – Strong understanding of vehicle diagnostics, software and hardware fault triage, and repair processes. Experience in fleet operations, automotive systems, or ADAS technology is a plus.
Problem-Solving & Efficiency – Ability to troubleshoot and resolve technical issues quickly, meeting strict SLAs (5-minute response time) to keep vehicles operational.
Communication & Collaboration – Capable of working closely with global teams, providing clear technical updates, and ensuring smooth handovers across locations.
Safety & Compliance – Deep understanding of safety protocols, incident management, and adherence to operational procedures to ensure secure and effective repairs.
Adaptability & Flexibility – Comfortable working in a fast-paced, evolving environment, including participation in on-call rotations and weekend coverage as needed.
Technical Tools & Platforms – Familiarity with diagnostic tools, software monitoring platforms (e.g., Datadog, Mender), and ticketing systems like JIRA.
Fluent in English and German.
Desirable:
Bachelor’s degree (B.Sc. or equivalent) in Automotive, Mechanical, Electrical/Electronic Engineering, Computer Science, Robotics, or a related technical discipline.
Knowledge of ADAS on-road testing, safe vehicle-operation procedures, and relevant safety or high-voltage/EV certifications.
High-voltage/EV certification and practical experience diagnosing EV systems.
Demonstrated continuous-improvement mindset; able to identify recurring vehicle issues, turn field observations into actionable feedback, and help improve repair processes, vehicle uptime, and operational safety.
This role is based on a rota with a shift pattern:
Monday to Sunday - (must be able to work weekends)
06:00 - 15:00
13:00 - 22:00
On-site at our office in Leonberg.
All applications are required to disclose any second job as part of the application process.
All applications will be subject to a health check before/after.
Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nThe Field Engineer is a hands-on technical contributor responsible for diagnosing and resolving vehicle software and hardware issues to keep the fleet operational. They will play a critical role in rapid fault triage, ensuring a 5-minute response time while strictly adhering to safety protocols. Working closely with fellow engineers and global teams, they will contribute to seamless operations through effective communication and problem-solving. As part of a newly established function within Fleet Operations, the Field Engineer will help refine processes and drive efficiency in a fast-paced, high-impact environment.\n\nKey responsibilities:\n\n - Perform on-site fault triage and resolution, diagnosing and repairing vehicle software and hardware issues quickly to maintain fleet uptime.\n\n - Follow structured fault diagnosis and repair protocols, ensuring all work is carried out efficiently and in alignment with operational workflows.\n\n - Collaborate with fellow field engineers and cross-functional teams to troubleshoot and resolve technical issues effectively.\n\n - Respond rapidly to issues, meeting the 5-minute issue response to keep vehicles operational and our teams feeling adequately supported.\n\n - Maintain clear communication with the Field Engineering Lead, providing updates on ongoing repairs and ensuring smooth handovers across geographical locations.\n\n - Participate in on-call rotations, assisting with technical support and issue resolution across multiple regions as part of a 24/7 global support network.\n\n - Adhere to strict safety and compliance protocols, ensuring all fault triage, diagnosis, and repairs follow the correct procedures and approvals.\n\n - Contribute to continuous improvement efforts, identifying operational challenges and providing feedback to optimise field engineering support and efficiency.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Field Engineer at Wayve, we’re looking for the following skills and experience. \n\nEssential:\n\n - Full German driving licence.\n\n - Technical Expertise – Strong understanding of vehicle diagnostics, software and hardware fault triage, and repair processes. Experience in fleet operations, automotive systems, or ADAS technology is a plus.\n\n - Problem-Solving & Efficiency – Ability to troubleshoot and resolve technical issues quickly, meeting strict SLAs (5-minute response time) to keep vehicles operational.\n\n - Communication & Collaboration – Capable of working closely with global teams, providing clear technical updates, and ensuring smooth handovers across locations.\n\n - Safety & Compliance – Deep understanding of safety protocols, incident management, and adherence to operational procedures to ensure secure and effective repairs.\n\n - Adaptability & Flexibility – Comfortable working in a fast-paced, evolving environment, including participation in on-call rotations and weekend coverage as needed.\n\n - Technical Tools & Platforms – Familiarity with diagnostic tools, software monitoring platforms (e.g., Datadog, Mender), and ticketing systems like JIRA.\n\n - Fluent in English and German.\n\nDesirable:\n\n - Bachelor’s degree (B.Sc. or equivalent) in Automotive, Mechanical, Electrical/Electronic Engineering, Computer Science, Robotics, or a related technical discipline.\n\n - Knowledge of ADAS on-road testing, safe vehicle-operation procedures, and relevant safety or high-voltage/EV certifications.\n\n - High-voltage/EV certification and practical experience diagnosing EV systems.\n\n - Demonstrated continuous-improvement mindset; able to identify recurring vehicle issues, turn field observations into actionable feedback, and help improve repair processes, vehicle uptime, and operational safety.\n\n\nADDITIONAL REQUIREMENTS:\n\n - This role is based on a rota with a shift pattern:\n Monday to Sunday - (must be able to work weekends)\n 06:00 - 15:00\n 13:00 - 22:00\n \n\n - On-site at our office in Leonberg.\n\n - All applications are required to disclose any second job as part of the application process.\n\n - All applications will be subject to a health check before/after. \n\n - Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.\n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"cd8513f9-8357-4050-95aa-fb41842a0511","title":"Technical Configuration Manager","department":"Product & Delivery","team":"Product & Delivery","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-09-16T20:17:15.663+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/cd8513f9-8357-4050-95aa-fb41842a0511","applyUrl":"https://jobs.ashbyhq.com/wayve/cd8513f9-8357-4050-95aa-fb41842a0511/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Configuration Manager is responsible for establishing and operating effective configuration and change management across the engineering lifecycle. Working within the Technical Process Excellence team, the role ensures that engineering work products, baselines, releases and changes are controlled, traceable and compliant with Wayve's engineering processes and automotive development standards.
Beyond core configuration management, the role will support requirements management and wider engineering process activities, making it well suited to someone with broad experience of automotive development processes and Automotive SPICE.
Configuration Management: Define, implement and continuously improve configuration management processes covering configuration identification, baselining, change control, status accounting and configuration audits.
Engineering Lifecycle: Establish and maintain configuration structures and baselines across requirements, architecture, software, verification evidence and releases, ensuring consistency and end-to-end traceability.
Requirements Management: Support requirements management practices, including requirements structure, attributes, traceability, baselining, change management and requirements tooling.
Process & Compliance: Support engineering teams in applying Automotive SPICE processes, identifying process gaps and preparing engineering evidence for internal, customer and external assessments.
Tools & Improvement: Develop and improve workflows, tooling, automation, metrics and guidance across configuration and requirements management, working closely with engineering teams and process owners.
Essential
Experience in configuration management within automotive, aerospace or another complex software/systems engineering environment.
Practical knowledge of configuration identification, baselines, change control, status accounting and configuration audits.
Experience working across software, systems engineering and requirements management lifecycles.
Familiarity with modern engineering toolchains such as Git/GitHub, Jama Connect, Jira or equivalent.
Strong communication skills and the ability to establish effective processes across multiple engineering teams.
Desirable
Good working knowledge of Automotive SPICE, particularly SUP.8, SUP.9 and the requirements engineering processes.
Experience with requirements management and traceability in Jama Connect or a comparable requirements management tool.
Knowledge of ISO 26262, ISO 21434 or other automotive engineering standards.
intacs™ Automotive SPICE Process Expert or Assessor qualification.
Experience improving or automating engineering lifecycle, configuration or compliance workflows.
This is a full-time role based in our office in Leonberg or London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe Configuration Manager is responsible for establishing and operating effective configuration and change management across the engineering lifecycle. Working within the Technical Process Excellence team, the role ensures that engineering work products, baselines, releases and changes are controlled, traceable and compliant with Wayve's engineering processes and automotive development standards.\n\nBeyond core configuration management, the role will support requirements management and wider engineering process activities, making it well suited to someone with broad experience of automotive development processes and Automotive SPICE.\n\n\nKEY RESPONSIBILITIES\n\n - Configuration Management: Define, implement and continuously improve configuration management processes covering configuration identification, baselining, change control, status accounting and configuration audits.\n\n - Engineering Lifecycle: Establish and maintain configuration structures and baselines across requirements, architecture, software, verification evidence and releases, ensuring consistency and end-to-end traceability.\n\n - Requirements Management: Support requirements management practices, including requirements structure, attributes, traceability, baselining, change management and requirements tooling.\n\n - Process & Compliance: Support engineering teams in applying Automotive SPICE processes, identifying process gaps and preparing engineering evidence for internal, customer and external assessments.\n\n - Tools & Improvement: Develop and improve workflows, tooling, automation, metrics and guidance across configuration and requirements management, working closely with engineering teams and process owners.\n\n\nEXPERIENCE\n\nEssential\n\n - Experience in configuration management within automotive, aerospace or another complex software/systems engineering environment.\n\n - Practical knowledge of configuration identification, baselines, change control, status accounting and configuration audits.\n\n - Experience working across software, systems engineering and requirements management lifecycles.\n\n - Familiarity with modern engineering toolchains such as Git/GitHub, Jama Connect, Jira or equivalent.\n\n - Strong communication skills and the ability to establish effective processes across multiple engineering teams.\n\nDesirable\n\n - Good working knowledge of Automotive SPICE, particularly SUP.8, SUP.9 and the requirements engineering processes.\n\n - Experience with requirements management and traceability in Jama Connect or a comparable requirements management tool.\n\n - Knowledge of ISO 26262, ISO 21434 or other automotive engineering standards.\n\n - intacs™ Automotive SPICE Process Expert or Assessor qualification.\n\n - Experience improving or automating engineering lifecycle, configuration or compliance workflows.\n\n\nThis is a full-time role based in our office in Leonberg or London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"4775385b-b5c9-4944-8b5e-76e30bd16f61","title":"Fleet Service and Maintenance Technician","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Detroit, Michigan USA","secondaryLocations":[],"publishedAt":"2026-09-16T22:20:44.372+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/4775385b-b5c9-4944-8b5e-76e30bd16f61","applyUrl":"https://jobs.ashbyhq.com/wayve/4775385b-b5c9-4944-8b5e-76e30bd16f61/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Fleet Service and Maintenance Technician plays a critical role in maintaining the safety, performance, and operational readiness of Wayve’s autonomous vehicle fleet. From routine servicing and diagnostics to urgent repairs and vehicle readiness for high-visibility events, technicians ensure our fleet remains in peak condition to support testing, demonstrations, and real-world deployment.
Reporting to the Fleet Service Manager, this hands-on role requires strong mechanical knowledge, the ability to work with modern diagnostic systems, and a proactive, safety-conscious mindset. Working closely with engineering, drivers, and operations teams, you’ll help keep autonomy moving forward, every single day.
Routine & Preventative Maintenance – Execute scheduled servicing and inspections per manufacturer and internal guidelines.
Mechanical & Electrical Fault Resolution – Diagnose and repair a wide range of issues using OEM documentation and advanced diagnostic equipment.
Vehicle Readiness for Demonstrations – Ensure vehicles meet high standards of cleanliness, reliability, and functionality for public-facing use.
Workshop Safety & Compliance – Adhere to safety best practices, risk assessments, and regulations.
Repair Documentation & Tracking – Accurately record faults found, actions taken, and parts used using digital tools.
Feedback into Fleet Performance – Communicate recurring issues or improvement ideas to the Fleet Service Manager and Field Engineering teams.
Customer-Facing Communication – Engage with fleet drivers to resolve issues they report and ensure a positive operational experience.
In order to set you up for success as a Fleet Servicing and Maintenance Technician at Wayve, we’re looking for the following skills and experience.
Relevant qualifications in automotive servicing, diagnostics and repairs
Proven experience as a Vehicle Technician in an automotive servicing or fleet environment.
Strong diagnostics capability using OEM or third-party diagnostic equipment.
Familiarity with mechanical and bodywork repairs using OEM repair manuals.
Competent with computer systems for tracking and recording maintenance tasks (e.g., Word, Excel).
Comfortable interacting with engineers, operations staff, and drivers.
Strong understanding of workshop safety and compliance standards.
US driving license.
Experience working with vehicles equipped with ADAS or autonomous technology.
Understanding of AV fleet operational needs in a high-uptime environment.
Passion for emerging mobility technologies and willingness to learn new systems.
This role is a Shift Based full-time role based in Detroit, MI and the reasonably estimated salary for this role ranges from $75,0000 to $85,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nThe Fleet Service and Maintenance Technician plays a critical role in maintaining the safety, performance, and operational readiness of Wayve’s autonomous vehicle fleet. From routine servicing and diagnostics to urgent repairs and vehicle readiness for high-visibility events, technicians ensure our fleet remains in peak condition to support testing, demonstrations, and real-world deployment.\n\nReporting to the Fleet Service Manager, this hands-on role requires strong mechanical knowledge, the ability to work with modern diagnostic systems, and a proactive, safety-conscious mindset. Working closely with engineering, drivers, and operations teams, you’ll help keep autonomy moving forward, every single day.\n\n\nKEY RESPONSIBILITIES:\n\n - Routine & Preventative Maintenance – Execute scheduled servicing and inspections per manufacturer and internal guidelines.\n\n - Mechanical & Electrical Fault Resolution – Diagnose and repair a wide range of issues using OEM documentation and advanced diagnostic equipment.\n\n - Vehicle Readiness for Demonstrations – Ensure vehicles meet high standards of cleanliness, reliability, and functionality for public-facing use.\n\n - Workshop Safety & Compliance – Adhere to safety best practices, risk assessments, and regulations.\n\n - Repair Documentation & Tracking – Accurately record faults found, actions taken, and parts used using digital tools.\n\n - Feedback into Fleet Performance – Communicate recurring issues or improvement ideas to the Fleet Service Manager and Field Engineering teams.\n\n - Customer-Facing Communication – Engage with fleet drivers to resolve issues they report and ensure a positive operational experience.\n\n\nABOUT YOU \n\nIn order to set you up for success as a Fleet Servicing and Maintenance Technician at Wayve, we’re looking for the following skills and experience. \n\n\nESSENTIAL \n\n - Relevant qualifications in automotive servicing, diagnostics and repairs\n\n - Proven experience as a Vehicle Technician in an automotive servicing or fleet environment.\n\n - Strong diagnostics capability using OEM or third-party diagnostic equipment.\n\n - Familiarity with mechanical and bodywork repairs using OEM repair manuals.\n\n - Competent with computer systems for tracking and recording maintenance tasks (e.g., Word, Excel).\n\n - Comfortable interacting with engineers, operations staff, and drivers.\n\n - Strong understanding of workshop safety and compliance standards.\n\n - US driving license.\n\n\nDESIRABLE:\n\n - Experience working with vehicles equipped with ADAS or autonomous technology.\n\n - Understanding of AV fleet operational needs in a high-uptime environment.\n\n - Passion for emerging mobility technologies and willingness to learn new systems.\n \n \n\nThis role is a Shift Based full-time role based in Detroit, MI and the reasonably estimated salary for this role ranges from $75,0000 to $85,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"e2cd868f-d81c-4bb6-a5d7-045fcfb1cb23","title":"Fleet Operations Trainer - DE","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-09-16T23:16:28.275+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/e2cd868f-d81c-4bb6-a5d7-045fcfb1cb23","applyUrl":"https://jobs.ashbyhq.com/wayve/e2cd868f-d81c-4bb6-a5d7-045fcfb1cb23/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
If you're passionate about quality and continuous improvement, this role offers the opportunity to ensure the effectiveness of training programs, materials and delivery methods, while working closely with teams to uphold operating standards and support professional development.
Key responsibilities:
Monitor and evaluate the effectiveness of training programs and make recommendations for improvements.
Maintain training records and ensure compliance with company policies and legal requirements.
Conduct regular assessments of operating standards across teams and individuals to ensure they meet quality standards and objectives.
Develop and maintain training materials, including manuals, presentations, and online resources.
Collaborate with subject matter experts to identify areas for improvement in training content, delivery and operating standards.
Monitor and analyse training metrics to identify trends and opportunities for improvement.
Develop and oversee the implementation of quality assurance processes for training programs and operating standards.
In conjunction with Team Leads, assist with staff professional development and course completion.
Interact with cross-functional stakeholders to understand training requirements for future business needs e.g. growth of commercial operations.
In order to set you up for success as a Trainer at Wayve, we’re looking for the following skills and experience.
Essentials:
Full clean DE driving licence.
At least 8 years' driving experience - mainly in DE.
No blameworthy insurance claims in the past three years.
You remain calm and controlled in a pressured environment.
You take on board feedback and learn from your mistakes, employing a growth mindset to the way you develop yourself.
You enjoy working with people, thriving in a team environment.
You know how to manage your wellbeing including fatigue, stress and have personal, proven strategies to do this
Proven experience as a team coordinator or similar role.
Strong leadership and communication skills in a 1:1 capacity, downwards to your team, and upwards and laterally with your other stakeholders
Ability to work under pressure and manage multiple priorities.
Excellent problem-solving skills and attention to detail.
Proficiency in Google Workspace or Microsoft Office suite.
Excellent written and verbal communication skills.
Strong attention to detail and problem-solving skills.
Excellent time management and organisational skills.
Fluent in English.
A recognised Assessor qualification.
A qualified Vehicle Safety Operator with a current qualification.
A recognised Quality Assurance qualification.
Available to work full-time on-site based out of our Leonberg office, 5 days a week.
All applications are required to disclose any second job as part of the application process.
All applications will be subject to a health check before/after.
Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy. You will be tested for drugs and alcohol during your onsite interview.
#LI-KM2
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nIf you're passionate about quality and continuous improvement, this role offers the opportunity to ensure the effectiveness of training programs, materials and delivery methods, while working closely with teams to uphold operating standards and support professional development.\n\nKey responsibilities:\n\n - Monitor and evaluate the effectiveness of training programs and make recommendations for improvements.\n\n - Maintain training records and ensure compliance with company policies and legal requirements.\n\n - Conduct regular assessments of operating standards across teams and individuals to ensure they meet quality standards and objectives.\n\n - Develop and maintain training materials, including manuals, presentations, and online resources.\n\n - Collaborate with subject matter experts to identify areas for improvement in training content, delivery and operating standards.\n\n - Monitor and analyse training metrics to identify trends and opportunities for improvement.\n\n - Develop and oversee the implementation of quality assurance processes for training programs and operating standards.\n\n - In conjunction with Team Leads, assist with staff professional development and course completion.\n\n - Interact with cross-functional stakeholders to understand training requirements for future business needs e.g. growth of commercial operations.\n\n\nABOUT YOU\n\nIn order to set you up for success as a Trainer at Wayve, we’re looking for the following skills and experience.\n\nEssentials:\n\n - Full clean DE driving licence.\n\n - At least 8 years' driving experience - mainly in DE.\n\n - No blameworthy insurance claims in the past three years.\n\n - You remain calm and controlled in a pressured environment.\n\n - You take on board feedback and learn from your mistakes, employing a growth mindset to the way you develop yourself.\n\n - You enjoy working with people, thriving in a team environment.\n\n - You know how to manage your wellbeing including fatigue, stress and have personal, proven strategies to do this\n\n - Proven experience as a team coordinator or similar role.\n\n - Strong leadership and communication skills in a 1:1 capacity, downwards to your team, and upwards and laterally with your other stakeholders\n\n - Ability to work under pressure and manage multiple priorities.\n\n - Excellent problem-solving skills and attention to detail.\n\n - Proficiency in Google Workspace or Microsoft Office suite.\n\n - Excellent written and verbal communication skills.\n\n - Strong attention to detail and problem-solving skills.\n\n - Excellent time management and organisational skills.\n\n - Fluent in English.\n\n\nDESIRABLE:\n\n - A recognised Assessor qualification.\n\n - A qualified Vehicle Safety Operator with a current qualification.\n\n - A recognised Quality Assurance qualification.\n\n\nADDITIONAL REQUIREMENTS:\n\n - Available to work full-time on-site based out of our Leonberg office, 5 days a week.\n\n - All applications are required to disclose any second job as part of the application process.\n\n - All applications will be subject to a health check before/after.\n\n - Employment is contingent upon passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy. You will be tested for drugs and alcohol during your onsite interview.\n\n#LI-KM2\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"f8f7f2fe-4fcf-41e0-b4f4-6b1e5295d8bc","title":"Engineering Manager, Embedded Automotive Platform ","department":"Vehicle SW Engineering","team":"Vehicle SW Engineering","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-05-19T11:22:12.125+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/f8f7f2fe-4fcf-41e0-b4f4-6b1e5295d8bc","applyUrl":"https://jobs.ashbyhq.com/wayve/f8f7f2fe-4fcf-41e0-b4f4-6b1e5295d8bc/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
As an Engineering Manager in the Embedded Automotive Platforms (EAP) team, you’ll lead a US-based team building portable, production-grade core libraries and standardized APIs that sit at the boundary between Wayve’s autonomy stack and real vehicle platforms. Your team’s work enables Wayve software to run reliably across multiple automotive reference platforms and runtime environments (e.g., NVIDIA Drive Orin on Linux/QNX, Qualcomm platforms), accelerating real-world AV experiments and customer programs.
This is a hands-on engineering management role: you’ll be expected to spend roughly 40% of your time coding/designing and ~60% leading, coaching, and delivering through the team.
Key Responsibilities
Lead and grow an embedded software team in the US, with plans to scale headcount over time.
Own the team roadmap: translate milestones into clear objectives, align priorities with stakeholders, and track execution to deliver against committed milestones.
Drive development of portable core libraries and platform abstractions (SDK-style APIs) that enable repeatable deployment of Wayve’s autonomy software to vehicle compute.
Guide reference platform adaptation and integration, ensuring our libraries run reliably across target environments (Linux/QNX and automotive SoCs).
Be responsible for delivering automotive functional safety (FuSA) certified core production libraries.
Coach and develop engineers; set high standards for engineering excellence, maintainability, and delivery discipline.
Stay hands-on: contribute to architecture and design, review code, and personally implement critical pieces where needed.
About you
Experience managing and developing software engineers, with strong ownership of delivery (planning → execution → quality).
Strong engineering background, including substantial proven experience in embedded system development, preferably in the automotive industry or similar
Strong background in developing software for embedded systems using high-performance system languages like C++ and/or Rust, with the ability to be hands-on (coding + design).
Experience delivering software in safety-/quality-conscious environments (automotive strongly preferred), including familiarity with standards/processes such as ASPICE and MISRA.
Demonstrated ability to collaborate cross-functionally and communicate clearly with stakeholders across teams and time zones.
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
Desirable
Experience with Linux and/or QNX, build systems, and platform integration.
Familiarity with automotive platform concepts (e.g., AUTOSAR Adaptive, middleware/IPC for high-throughput systems).
Experience working with or delivering software on NVIDIA Drive Orin and/or Qualcomm automotive platforms.
Experience delivering platform/software components used broadly across internal teams and by external partners / 3rd parties.
Experience in FuSA and ISO26262 or similar compliance frameworks in fields like medical, aerospace.
This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $280,000 to $305,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nAs an Engineering Manager in the Embedded Automotive Platforms (EAP) team, you’ll lead a US-based team building portable, production-grade core libraries and standardized APIs that sit at the boundary between Wayve’s autonomy stack and real vehicle platforms. Your team’s work enables Wayve software to run reliably across multiple automotive reference platforms and runtime environments (e.g., NVIDIA Drive Orin on Linux/QNX, Qualcomm platforms), accelerating real-world AV experiments and customer programs.\n\nThis is a hands-on engineering management role: you’ll be expected to spend roughly 40% of your time coding/designing and ~60% leading, coaching, and delivering through the team.\n\nKey Responsibilities\n\n - Lead and grow an embedded software team in the US, with plans to scale headcount over time.\n\n - Own the team roadmap: translate milestones into clear objectives, align priorities with stakeholders, and track execution to deliver against committed milestones.\n\n - Drive development of portable core libraries and platform abstractions (SDK-style APIs) that enable repeatable deployment of Wayve’s autonomy software to vehicle compute.\n\n - Guide reference platform adaptation and integration, ensuring our libraries run reliably across target environments (Linux/QNX and automotive SoCs).\n\n - Be responsible for delivering automotive functional safety (FuSA) certified core production libraries.\n\n - Coach and develop engineers; set high standards for engineering excellence, maintainability, and delivery discipline.\n\n - Stay hands-on: contribute to architecture and design, review code, and personally implement critical pieces where needed.\n\nAbout you \n\n - Experience managing and developing software engineers, with strong ownership of delivery (planning → execution → quality).\n\n - Strong engineering background, including substantial proven experience in embedded system development, preferably in the automotive industry or similar\n\n - Strong background in developing software for embedded systems using high-performance system languages like C++ and/or Rust, with the ability to be hands-on (coding + design).\n\n - Experience delivering software in safety-/quality-conscious environments (automotive strongly preferred), including familiarity with standards/processes such as ASPICE and MISRA.\n\n - Demonstrated ability to collaborate cross-functionally and communicate clearly with stakeholders across teams and time zones.\n\n - Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.\n\nDesirable\n\n - Experience with Linux and/or QNX, build systems, and platform integration.\n\n - Familiarity with automotive platform concepts (e.g., AUTOSAR Adaptive, middleware/IPC for high-throughput systems).\n\n - Experience working with or delivering software on NVIDIA Drive Orin and/or Qualcomm automotive platforms.\n\n - Experience delivering platform/software components used broadly across internal teams and by external partners / 3rd parties.\n\n - Experience in FuSA and ISO26262 or similar compliance frameworks in fields like medical, aerospace.\n\n\nThis role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $280,000 to $305,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"ec533a3f-2ba4-49ea-aed2-f72d14774e86","title":"Mechanical Design Engineer","department":"Hardware & Supply Chain","team":"Hardware & Supply Chain","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-17T18:31:27.896+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/ec533a3f-2ba4-49ea-aed2-f72d14774e86","applyUrl":"https://jobs.ashbyhq.com/wayve/ec533a3f-2ba4-49ea-aed2-f72d14774e86/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
As a Mechanical Engineer at Wayve, you’ll design and deliver robust integration solutions for compute and sensors on real-world vehicles—working on programs with some of the world’s leading automotive partners. You’ll take ideas from concept through prototype and into manufacture, owning quality and trade‑offs along the way. This is a hands-on role with clear impact on how our systems are built, tested, installed, and scaled.
Applicants are required to submit a portfolio showcasing relevant work alongside their resume. Applications without a portfolio may not be considered.
Key responsibilities
Design and integrate mechanical solutions for sensors and compute across a range of vehicle platforms.
Own mechanical design trade‑offs (performance, cost, manufacturability, serviceability) while maintaining a high quality bar.
Develop and build HiLs, test rigs, jigs, and fixtures to support validation and integration.
Produce clear 2D drawings, assemblies, and BOMs; apply GD&T to ensure repeatable builds.
Partner with supply chain and external suppliers to source and manufacture parts (sheet metal, machining, vacuum casting, 3D printing, etc.).
Collaborate cross‑functionally with electronics and other engineering teams to integrate compute/sensor architectures.
Create build instructions, inspection checklists, and safety/quality documentation; support knowledge transfer to Fleet and field teams.
About you
To set you up for success as a Mechanical Engineer at Wayve, you bring strong mechanical design fundamentals, a pragmatic approach to prototyping, and a track record of delivering high-quality integration work in fast-moving environments.
Essential
4+ years’ experience in mechanical/design engineering, with a portfolio of relevant work.
Proficiency in SolidWorks (and ideally SolidWorks PDM), including master model development and multi‑part assemblies.
Experience with common manufacturing processes (e.g., sheet metal, machining, vacuum casting, 3D printing) and design-for-manufacture considerations.
Strong experience designing/building test jigs, rigs, and fixtures; comfort working hands-on in a workshop environment.
Strong 2D drawing and assembly skills, BOM management, and working knowledge of GD&T.
Experience using risk assessment methods such as FMEA/DFMEA.
Desirable
Surface modelling experience.
Familiarity with aluminium extrusion-based builds.
Understanding of electronic systems (e.g., voltage basics, harness development, compute selection).
Hands-on FDM printing experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nAs a Mechanical Engineer at Wayve, you’ll design and deliver robust integration solutions for compute and sensors on real-world vehicles—working on programs with some of the world’s leading automotive partners. You’ll take ideas from concept through prototype and into manufacture, owning quality and trade‑offs along the way. This is a hands-on role with clear impact on how our systems are built, tested, installed, and scaled.\n\n \n\nApplicants are required to submit a portfolio showcasing relevant work alongside their resume. Applications without a portfolio may not be considered.\n\n \n\nKey responsibilities\n\n - Design and integrate mechanical solutions for sensors and compute across a range of vehicle platforms.\n\n - Own mechanical design trade‑offs (performance, cost, manufacturability, serviceability) while maintaining a high quality bar.\n\n - Develop and build HiLs, test rigs, jigs, and fixtures to support validation and integration.\n\n - Produce clear 2D drawings, assemblies, and BOMs; apply GD&T to ensure repeatable builds.\n\n - Partner with supply chain and external suppliers to source and manufacture parts (sheet metal, machining, vacuum casting, 3D printing, etc.).\n\n - Collaborate cross‑functionally with electronics and other engineering teams to integrate compute/sensor architectures.\n\n - Create build instructions, inspection checklists, and safety/quality documentation; support knowledge transfer to Fleet and field teams.\n\nAbout you\n\nTo set you up for success as a Mechanical Engineer at Wayve, you bring strong mechanical design fundamentals, a pragmatic approach to prototyping, and a track record of delivering high-quality integration work in fast-moving environments.\n\nEssential\n\n - 4+ years’ experience in mechanical/design engineering, with a portfolio of relevant work.\n\n - Proficiency in SolidWorks (and ideally SolidWorks PDM), including master model development and multi‑part assemblies.\n\n - Experience with common manufacturing processes (e.g., sheet metal, machining, vacuum casting, 3D printing) and design-for-manufacture considerations.\n\n - Strong experience designing/building test jigs, rigs, and fixtures; comfort working hands-on in a workshop environment.\n\n - Strong 2D drawing and assembly skills, BOM management, and working knowledge of GD&T.\n\n - Experience using risk assessment methods such as FMEA/DFMEA.\n\nDesirable\n\n - Surface modelling experience.\n\n - Familiarity with aluminium extrusion-based builds.\n\n - Understanding of electronic systems (e.g., voltage basics, harness development, compute selection).\n\n - Hands-on FDM printing experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"d3cac66e-71a9-405b-8945-b7d37801f8b3","title":"Global Head of AV Driver Training","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-17T18:32:51.591+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/d3cac66e-71a9-405b-8945-b7d37801f8b3","applyUrl":"https://jobs.ashbyhq.com/wayve/d3cac66e-71a9-405b-8945-b7d37801f8b3/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
As Global Head of AV Driver Training, you'll own the strategy, standards, and operating model for how Wayve trains, certifies, and develops its on-road operational workforce — Vehicle Safety Operators and the teams that support them — across the UK, US, Germany, and Japan. This is a build role: you're accountable for defining the training architecture, building scalable curricula and certification pathways, and proving with data that training is improving readiness, consistency, and safety.
You'll lead a small, globally distributed team of Regional Training Leads and Training Coordinators, translating a single global standard into training that works in each region's operational reality. You'll own the mechanism that turns operational insights, safety findings, and product changes into rapid training updates, and you're the person accountable for whether operators are truly ready before they're deployed on the road.
Key responsibilities:
Own global training strategy, standards, and operating model across all geographies.
Define the training architecture: scalable curricula, onboarding pathways, and certification frameworks for on-road and maintenance operational roles.
Own operational readiness — ensuring operators meet performance and safety thresholds before live on-road deployment.
Build and maintain the mechanism for converting product requirements and operational insights into rapid, targeted training updates.
Establish and own the metrics and reporting that prove training effectiveness, readiness, and adherence — and use that data to prioritise interventions.
Manage and develop Regional Training Leads, holding them accountable to a consistent global standard while enabling local adaptation.
Partner cross-functionally with Operations, Product, and Safety to align training outcomes with business and operational needs.
Own certification and compliance record-keeping standards globally, ensuring accuracy and audit-readiness.
Balance global standardisation with the flexibility to adapt delivery to regional, regulatory, and market context.
You'll thrive in this role if you've built or scaled a training or capability-development function in a safety-critical, operational environment, and you want to own it globally from here.
Essential:
Significant leadership experience in training, capability development, operations enablement, or workforce readiness, ideally within autonomous systems, mobility, robotics, aviation, defence, logistics, or another safety-critical environment.
Proven experience building and leading structured training programmes across multiple sites, regions, or countries.
Demonstrated success designing scalable onboarding, certification, and recurrent training frameworks for operational roles.
Experience translating operational, product, or safety requirements into practical training content, standards, and readiness criteria.
Strong track record using performance data, assessments, and operational insight to improve behaviour, consistency, and execution quality.
Experience working cross-functionally with Operations, Product, Safety, and other senior stakeholders to align training outcomes with business needs.
Experience leading managers or senior individual contributors, and setting direction for a globally distributed function.
Strong analytical capability — comfortable working with training and performance data pipelines to identify trends and gaps, and converting insight into metrics, dashboards, and reporting.
Desirable:
Experience in autonomous vehicles, transport, robotics, logistics, aviation, or defense.
Familiarity with certification, compliance record-keeping, and audit requirements in a regulated or safety-critical environment.
Experience managing a mixed workforce of contractors and full-time employees through a transition to FTE.
This is a full-time role based in our office in Sunnyvale. This role is Monday to Friday, overseeing a division that operates seven days a week. It will include on-call responsibilities at times. The reasonably estimated salary for this role ranges from $157,600 to $229,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE \n\nAs Global Head of AV Driver Training, you'll own the strategy, standards, and operating model for how Wayve trains, certifies, and develops its on-road operational workforce — Vehicle Safety Operators and the teams that support them — across the UK, US, Germany, and Japan. This is a build role: you're accountable for defining the training architecture, building scalable curricula and certification pathways, and proving with data that training is improving readiness, consistency, and safety.\n\nYou'll lead a small, globally distributed team of Regional Training Leads and Training Coordinators, translating a single global standard into training that works in each region's operational reality. You'll own the mechanism that turns operational insights, safety findings, and product changes into rapid training updates, and you're the person accountable for whether operators are truly ready before they're deployed on the road.\n\nKey responsibilities:\n\n - Own global training strategy, standards, and operating model across all geographies.\n\n - Define the training architecture: scalable curricula, onboarding pathways, and certification frameworks for on-road and maintenance operational roles.\n\n - Own operational readiness — ensuring operators meet performance and safety thresholds before live on-road deployment.\n\n - Build and maintain the mechanism for converting product requirements and operational insights into rapid, targeted training updates.\n\n - Establish and own the metrics and reporting that prove training effectiveness, readiness, and adherence — and use that data to prioritise interventions.\n\n - Manage and develop Regional Training Leads, holding them accountable to a consistent global standard while enabling local adaptation.\n\n - Partner cross-functionally with Operations, Product, and Safety to align training outcomes with business and operational needs.\n\n - Own certification and compliance record-keeping standards globally, ensuring accuracy and audit-readiness.\n\n - Balance global standardisation with the flexibility to adapt delivery to regional, regulatory, and market context.\n\n\nABOUT YOU \n\nYou'll thrive in this role if you've built or scaled a training or capability-development function in a safety-critical, operational environment, and you want to own it globally from here.\n\nEssential:\n\n - Significant leadership experience in training, capability development, operations enablement, or workforce readiness, ideally within autonomous systems, mobility, robotics, aviation, defence, logistics, or another safety-critical environment.\n\n - Proven experience building and leading structured training programmes across multiple sites, regions, or countries.\n\n - Demonstrated success designing scalable onboarding, certification, and recurrent training frameworks for operational roles.\n\n - Experience translating operational, product, or safety requirements into practical training content, standards, and readiness criteria.\n\n - Strong track record using performance data, assessments, and operational insight to improve behaviour, consistency, and execution quality.\n\n - Experience working cross-functionally with Operations, Product, Safety, and other senior stakeholders to align training outcomes with business needs.\n\n - Experience leading managers or senior individual contributors, and setting direction for a globally distributed function.\n\n - Strong analytical capability — comfortable working with training and performance data pipelines to identify trends and gaps, and converting insight into metrics, dashboards, and reporting.\n\nDesirable: \n\n - Experience in autonomous vehicles, transport, robotics, logistics, aviation, or defense.\n\n - Familiarity with certification, compliance record-keeping, and audit requirements in a regulated or safety-critical environment.\n\n - Experience managing a mixed workforce of contractors and full-time employees through a transition to FTE.\n\nThis is a full-time role based in our office in Sunnyvale. This role is Monday to Friday, overseeing a division that operates seven days a week. It will include on-call responsibilities at times. The reasonably estimated salary for this role ranges from $157,600 to $229,200, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. \n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"2e42516d-0d89-4e5f-8789-0c2154862960","title":"Radar Lead","department":"Hardware & Supply Chain","team":"Hardware & Supply Chain","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-17T22:00:43.154+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/2e42516d-0d89-4e5f-8789-0c2154862960","applyUrl":"https://jobs.ashbyhq.com/wayve/2e42516d-0d89-4e5f-8789-0c2154862960/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
As the Radar Lead, you will be a key technical expert within the hardware team, responsible for supporting the integration of high-quality radar sensor data into our driver model. You will be responsible for developing and maintaining a comprehensive understanding of the competitive landscape in automotive radar technologies. You will also create radar data quality guidelines for our product offerings and provide domain expertise in integration, debugging, and testing. Working closely with cross-functional teams, you will help build out test capabilities and enable experiments in collaboration with software and model development teams.
Key responsibilities
Continuously monitor and analyze advancements in automotive radar technologies and signal processing. Maintain an up-to-date internal knowledge base on the competitive landscape of radar technologies to ensure our software can accommodate the latest developments.
Develop and enforce guidelines that ensure the radar point clouds and sensor data fed into our models maintain high quality standards. This includes establishing best practices for radar calibration, noise reduction, resolution, and range/velocity accuracy.
Provide domain expertise for integrating radar sensor data into the AV2.0 driver model. Offer guidance on debugging radar-related issues, ensuring that data from different radar types is appropriately processed and incorporated into the model for optimal results.
Build and enhance test frameworks to evaluate the impact of different radar inputs on model performance. Work with cross-functional teams to design experiments that assess the effectiveness of radar data under varying conditions (e.g. adverse weather, occlusion, clutter) and optimize data collection strategies.
Work closely with software and model development teams to ensure radar data is processed and utilized correctly within the driver model. Drive experimentation to identify and implement improvements in radar data handling that positively impact model performance.
About you
Essential:
Proven experience working with automotive radar technologies and their integration into software-driven systems.
Experience in radar data quality control, including calibration, resolution, noise handling, and range/velocity/angular accuracy considerations.
Strong communication and presentation skills.
Team player effective at cross-functional collaboration with teams of varying technical backgrounds.
Strong analytical skills and the ability to evaluate the impact of sensor data on model performance.
Excellent communication and collaboration skills, with a proven ability to work effectively across teams.
Desirable:
Basic scripting capabilities in python, bash, etc.
ADAS or Autonomous Vehicle Experience.
Pay Transparency Disclosure
If based in Wayve’s Sunnyvale office, this role has the annual base salary range stated below.
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
Annual Base Salary Range:
$314,700 - $408,100 USD
This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nAs the Radar Lead, you will be a key technical expert within the hardware team, responsible for supporting the integration of high-quality radar sensor data into our driver model. You will be responsible for developing and maintaining a comprehensive understanding of the competitive landscape in automotive radar technologies. You will also create radar data quality guidelines for our product offerings and provide domain expertise in integration, debugging, and testing. Working closely with cross-functional teams, you will help build out test capabilities and enable experiments in collaboration with software and model development teams.\n\n \n\nKey responsibilities\n\n - Continuously monitor and analyze advancements in automotive radar technologies and signal processing. Maintain an up-to-date internal knowledge base on the competitive landscape of radar technologies to ensure our software can accommodate the latest developments.\n\n - Develop and enforce guidelines that ensure the radar point clouds and sensor data fed into our models maintain high quality standards. This includes establishing best practices for radar calibration, noise reduction, resolution, and range/velocity accuracy.\n\n - Provide domain expertise for integrating radar sensor data into the AV2.0 driver model. Offer guidance on debugging radar-related issues, ensuring that data from different radar types is appropriately processed and incorporated into the model for optimal results.\n\n - Build and enhance test frameworks to evaluate the impact of different radar inputs on model performance. Work with cross-functional teams to design experiments that assess the effectiveness of radar data under varying conditions (e.g. adverse weather, occlusion, clutter) and optimize data collection strategies.\n\n - Work closely with software and model development teams to ensure radar data is processed and utilized correctly within the driver model. Drive experimentation to identify and implement improvements in radar data handling that positively impact model performance.\n\n \n\nAbout you\n\nEssential:\n\n - Proven experience working with automotive radar technologies and their integration into software-driven systems.\n\n - Experience in radar data quality control, including calibration, resolution, noise handling, and range/velocity/angular accuracy considerations.\n\n - Strong communication and presentation skills.\n\n - Team player effective at cross-functional collaboration with teams of varying technical backgrounds.\n\n - Strong analytical skills and the ability to evaluate the impact of sensor data on model performance.\n\n - Excellent communication and collaboration skills, with a proven ability to work effectively across teams.\n\nDesirable:\n\n - Basic scripting capabilities in python, bash, etc.\n\n - ADAS or Autonomous Vehicle Experience.\n\nPay Transparency Disclosure\n\n \n\nIf based in Wayve’s Sunnyvale office, this role has the annual base salary range stated below.\nJob level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.\n\n \n\nAnnual Base Salary Range:\n\n\n$314,700 - $408,100 USD\n\n \n \n\nThis is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.\n\n \n \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"18210229-1e42-44b7-9480-83adad3d4c00","title":"Fleet Operations Training Lead - US & Japan","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-09-18T22:32:59.916+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/18210229-1e42-44b7-9480-83adad3d4c00","applyUrl":"https://jobs.ashbyhq.com/wayve/18210229-1e42-44b7-9480-83adad3d4c00/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role
As the Fleet Operations Training Lead for the US and Japan, you will lead the development, delivery, and continuous improvement of training across our Fleet Operations teams. You will ensure that team members have the knowledge, practical skills, and confidence required to operate safely, consistently, and effectively.
Working closely with Fleet Operations, Safety, Engineering, People, and other teams across the business, you will identify capability gaps and translate complex operational and technical information into engaging, practical learning experiences. You will establish consistent training standards across both regions while adapting programs to reflect local operational, cultural, language, and regulatory requirements.
We’re looking for someone who is organised, collaborative, and passionate about developing others: a pragmatic leader who is comfortable working in a fast-moving, safety-focused environment and can balance immediate training needs with a longer-term strategy. As our Fleet Operations function grows, you will develop scalable training programs and processes that can support additional geographies in the future.
Key responsibilities:
Training strategy: Develop and maintain a comprehensive training strategy and roadmap for Fleet Operations in the US and Japan, aligned with organisational priorities, operational requirements, and future geographical expansion.
Learning programme development: Design, implement, and regularly update onboarding, technical, safety, compliance, and professional-development programs for Fleet Operations teams.
Training needs analysis: Partner with Fleet Operations leaders and subject-matter experts to assess skills, identify capability gaps, and prioritise training requirements.
Training delivery: Deliver engaging instructor-led, virtual, practical, and blended learning experiences for employees with different levels of experience and technical knowledge.
Learning standards and localisation: Establish consistent training and competency standards while adapting content and delivery to local languages, cultures, regulations, and operational environments.
Competency and certification: Create structured learning paths, practical assessments, competency frameworks, and certification programs that ensure employees are prepared to perform their roles safely and effectively.
Training effectiveness: Define and monitor measures such as participation, knowledge retention, practical proficiency, time to competency, learner feedback, and operational performance.
Continuous improvement: Use performance data, employee feedback, incident trends, and operational insights to continually improve training content, methods, and outcomes.
Train-the-trainer: Develop and manage train-the-trainer programs, supporting local trainers and Fleet Operations leaders to deliver learning consistently and effectively.
Learning systems and records: Use learning technologies to make training accessible, scalable, and engaging, while maintaining accurate records of training, competency, and certification.
Cross-functional collaboration: Work closely with Fleet Operations, Safety, Engineering, People, and other stakeholders to ensure training reflects current technology, processes, risks, and business priorities.
Operational change: Support the introduction of new technologies, vehicles, processes, policies, and programmes through structured training and change-readiness activities.
Learning culture: Champion continuous learning, knowledge sharing, and professional development across Fleet Operations.
About you
In order to set you up for success as a Fleet Operations Training Lead at Wayve, we’re looking for the following skills and experience.
Essential
A strong track record of developing and implementing comprehensive operational training programs, including training-needs analysis, instructional design, delivery, and evaluation.
Demonstrated leadership experience within a high-velocity, safety-focused fleet, operational, or technical environment.
Experience supporting training across multiple locations, regions, or culturally diverse teams.
Excellent facilitation and communication skills, with the ability to make complex technical and operational information clear and accessible.
Experience creating structured learning paths, practical assessments, competency frameworks, and certification programs.
Strong analytical skills, with the ability to identify capability gaps and evaluate the effectiveness and operational impact of training.
Strong stakeholder-management skills and the ability to collaborate with Fleet Operations, Safety, Engineering, People, and subject-matter experts.
Excellent time-management and prioritisation skills, with a proven ability to respond effectively to changing requirements in a fast-paced environment.
The ability to work effectively across US and Japan time zones and travel between operational locations when required.
Availability to work on-site five days a week.
A clean and compliant driving record in accordance with company requirements.
A safety-conscious mindset, with the confidence to identify and escalate potential risks.
Desirable
Experience establishing or scaling training programs across multiple countries or geographical regions.
Experience adapting training for different languages, cultures, regulatory requirements, and operational contexts.
Familiarity with learning-management systems, digital learning tools, and virtual or blended learning approaches.
Experience developing train-the-trainer programs or leading a distributed network of trainers.
Familiarity with advanced driver-assistance systems, including sensors and onboard hardware and firmware.
Experience in fleet operations, particularly data collection and closed-loop testing of ADAS functions.
Experience working within the automotive, autonomous-vehicle, robotics, AI, mobility, or another safety-critical industry.
Japanese-language capability or previous experience working closely with teams in Japan.
Experience working in a fast-moving technology company or startup.
The reasonably estimated salary for this role ranges from $100,000 to $130,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
#LI-KM1
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role\n\nAs the Fleet Operations Training Lead for the US and Japan, you will lead the development, delivery, and continuous improvement of training across our Fleet Operations teams. You will ensure that team members have the knowledge, practical skills, and confidence required to operate safely, consistently, and effectively.\n\nWorking closely with Fleet Operations, Safety, Engineering, People, and other teams across the business, you will identify capability gaps and translate complex operational and technical information into engaging, practical learning experiences. You will establish consistent training standards across both regions while adapting programs to reflect local operational, cultural, language, and regulatory requirements.\n\nWe’re looking for someone who is organised, collaborative, and passionate about developing others: a pragmatic leader who is comfortable working in a fast-moving, safety-focused environment and can balance immediate training needs with a longer-term strategy. As our Fleet Operations function grows, you will develop scalable training programs and processes that can support additional geographies in the future.\n\nKey responsibilities:\n\n - Training strategy: Develop and maintain a comprehensive training strategy and roadmap for Fleet Operations in the US and Japan, aligned with organisational priorities, operational requirements, and future geographical expansion.\n\n - Learning programme development: Design, implement, and regularly update onboarding, technical, safety, compliance, and professional-development programs for Fleet Operations teams.\n\n - Training needs analysis: Partner with Fleet Operations leaders and subject-matter experts to assess skills, identify capability gaps, and prioritise training requirements.\n\n - Training delivery: Deliver engaging instructor-led, virtual, practical, and blended learning experiences for employees with different levels of experience and technical knowledge.\n\n - Learning standards and localisation: Establish consistent training and competency standards while adapting content and delivery to local languages, cultures, regulations, and operational environments.\n\n - Competency and certification: Create structured learning paths, practical assessments, competency frameworks, and certification programs that ensure employees are prepared to perform their roles safely and effectively.\n\n - Training effectiveness: Define and monitor measures such as participation, knowledge retention, practical proficiency, time to competency, learner feedback, and operational performance.\n\n - Continuous improvement: Use performance data, employee feedback, incident trends, and operational insights to continually improve training content, methods, and outcomes.\n\n - Train-the-trainer: Develop and manage train-the-trainer programs, supporting local trainers and Fleet Operations leaders to deliver learning consistently and effectively.\n\n - Learning systems and records: Use learning technologies to make training accessible, scalable, and engaging, while maintaining accurate records of training, competency, and certification.\n\n - Cross-functional collaboration: Work closely with Fleet Operations, Safety, Engineering, People, and other stakeholders to ensure training reflects current technology, processes, risks, and business priorities.\n\n - Operational change: Support the introduction of new technologies, vehicles, processes, policies, and programmes through structured training and change-readiness activities.\n\n - Learning culture: Champion continuous learning, knowledge sharing, and professional development across Fleet Operations.\n\nAbout you\n\nIn order to set you up for success as a Fleet Operations Training Lead at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - A strong track record of developing and implementing comprehensive operational training programs, including training-needs analysis, instructional design, delivery, and evaluation.\n\n - Demonstrated leadership experience within a high-velocity, safety-focused fleet, operational, or technical environment.\n\n - Experience supporting training across multiple locations, regions, or culturally diverse teams.\n\n - Excellent facilitation and communication skills, with the ability to make complex technical and operational information clear and accessible.\n\n - Experience creating structured learning paths, practical assessments, competency frameworks, and certification programs.\n\n - Strong analytical skills, with the ability to identify capability gaps and evaluate the effectiveness and operational impact of training.\n\n - Strong stakeholder-management skills and the ability to collaborate with Fleet Operations, Safety, Engineering, People, and subject-matter experts.\n\n - Excellent time-management and prioritisation skills, with a proven ability to respond effectively to changing requirements in a fast-paced environment.\n\n - The ability to work effectively across US and Japan time zones and travel between operational locations when required.\n\n - Availability to work on-site five days a week.\n\n - A clean and compliant driving record in accordance with company requirements.\n\n - A safety-conscious mindset, with the confidence to identify and escalate potential risks.\n\nDesirable\n\n - Experience establishing or scaling training programs across multiple countries or geographical regions.\n\n - Experience adapting training for different languages, cultures, regulatory requirements, and operational contexts.\n\n - Familiarity with learning-management systems, digital learning tools, and virtual or blended learning approaches.\n\n - Experience developing train-the-trainer programs or leading a distributed network of trainers.\n\n - Familiarity with advanced driver-assistance systems, including sensors and onboard hardware and firmware.\n\n - Experience in fleet operations, particularly data collection and closed-loop testing of ADAS functions.\n\n - Experience working within the automotive, autonomous-vehicle, robotics, AI, mobility, or another safety-critical industry.\n\n - Japanese-language capability or previous experience working closely with teams in Japan.\n\n - Experience working in a fast-moving technology company or startup.\n\nThe reasonably estimated salary for this role ranges from $100,000 to $130,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\n#LI-KM1\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c7b267d1-57f0-4c81-b024-ff21fa068d9e","title":"Legal Counsel","department":"Commercial & Operations","team":"Legal","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-18T21:32:34.053+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c7b267d1-57f0-4c81-b024-ff21fa068d9e","applyUrl":"https://jobs.ashbyhq.com/wayve/c7b267d1-57f0-4c81-b024-ff21fa068d9e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The role:
Wayve is looking for a Legal Counsel (Commercial) based in London to support a broad range of commercial matters. The role will sit in Wayve’s Commercial Legal team, reporting to the Managing Counsel, and will play an important role as we scale globally and bring embodied AI technology into real-world deployment.
This role is ideal for someone who thrives in fast-moving, technology-driven environments and enjoys working at the intersection of law, AI, product innovation, and operational scale. While experience in autonomous vehicles, robotics, or AI would be valuable, it is not essential. We are more interested in candidates with strong foundational commercial skills, sound judgement, and a proven ability to navigate complex legal landscapes in a fast-moving environment.
We are looking for a proactive, commercially minded self-starter who is comfortable operating independently on a variety of day-to-day commercial legal matters. This role will have significant exposure to cross-border and international matters and will work closely with commercial, procurement, engineering, product, privacy, and fleet ops teams as the company continues to expand.
Wayve’s Legal Team focuses on enabling the business to achieve its goals while appropriately identifying and managing legal risk. We are looking for someone who can clearly and confidently explain legal and commercial risks, exercise sound judgement in assessing those risks, and work collaboratively with stakeholders to find practical solutions. You should be comfortable operating in an environment where there is not always established precedent, and focused on helping the business find a path forward rather than simply identifying reasons why something cannot be done.
Key responsibilities:
This role will report to the Managing Counsel and support the wider Commercial Legal team on a range of legal and commercial matters, including:
Drafting, reviewing and negotiating a broad range of commercial agreements, from day-to-day supplier, software/SaaS, services and other operational contracts, through to bespoke agreements with OEM customers and Tier 1 suppliers, often involving significant intellectual property, data, privacy and other technology-related issues.
Advising on intellectual property, AI and data usage (including data used for AI development and training) and other general commercial matters, in partnership with other members of the Legal team and external counsel (where required). This includes advising on novel and emerging areas of law, particularly at the intersection of law and AI, and helping navigate complex questions where legal frameworks, precedent and market practice are still developing
Advising the business’s People team on various employment and HR matters relating to Wayve’s global workforce (working with local counsel where specialist jurisdictional advice is required)
Advising on data protection and privacy matters, including supporting the use and sharing of data in connection with Wayve's products, commercial relationships and AI development and training
Helping to improve and develop scalable processes, templates, playbooks, and governance structures to support Wayve’s growth and contracting volume
Supporting strategic initiatives, international expansion, and new product deployments from a commercial legal perspective
Supporting Wayve’s operational teams, including Fleet Operations, in connection with the operation, testing and deployment of Wayve’s vehicle fleet across its international markets
Educating and enabling the business on commercial risk, contracting best practices, and legal process matters, and supporting other members of the Legal Team
About you:
In order to set you up for success as a Legal Counsel (Commercial) at Wayve, we’re looking for the following skills and experience.
Essential
Qualified solicitor in England and Wales
Trained at a leading law firm with 2 to 4 years of relevant post-qualification experience (although we are open to candidates with more or less experience)
Strong experience drafting and negotiating complex commercial agreements, including procurement, supply chain, technology, and vendor contracts
Comfortable negotiating directly with commercial counterparties and able to communicate legal positions clearly and pragmatically
Excellent communication and stakeholder management skills, with the ability to distil complex legal issues and clearly explain legal and commercial risk to non-legal stakeholders
Experience supporting strategic commercial transactions and working closely with business stakeholders in fast-moving, technology-driven environments
Strong commercial judgement and an ability to assess legal risk in the context of broader business objectives, providing practical, solutions-oriented advice that enables the business to achieve its goals while appropriately managing risk
Experience advising on employment-related matters affecting a global workforce, or a willingness to develop experience in this area, including navigating a fast-paced employment environment
Ability to work autonomously on day-to-day matters, take initiative, exercise sound judgement on when to escalate, and operate effectively in a fast-paced and evolving environment
Experience partnering cross-functionally with business stakeholders and an ability to communicate effectively with both legal and non-legal experts
Strong organisational and prioritisation skills, with the ability to manage multiple workstreams simultaneously and switch effectively between competing priorities
Enthusiasm for getting stuck into a broad range of legal matters, including areas outside your existing experience, and comfort working through novel legal and commercial questions where there may be limited precedent or established market practice
Desirable
Experience in one or more of the following areas is a major plus:
Commercial experience within the automotive, mobility, or broader technology sector, particularly at an OEM, Tier 1 supplier, or similarly complex engineering-led organization
Experience supporting OEM, strategic partnership, or other large-scale B2B transactions involving hardware, software, data, or integrated technology solutions
Exposure to AI, data or autonomous vehicle related legal issues
Cross-border commercial advisory experience across the UK, US, Europe and Japan.
Experience supporting commercial or employment matters in Germany, including familiarity with the German legal and regulatory environment and working with German stakeholders and local counsel.
Experience helping to automate and scale legal processes, templates, or commercial legal functions
This is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Some international travel may be required.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\nThe role:\n\nWayve is looking for a Legal Counsel (Commercial) based in London to support a broad range of commercial matters. The role will sit in Wayve’s Commercial Legal team, reporting to the Managing Counsel, and will play an important role as we scale globally and bring embodied AI technology into real-world deployment.\n\nThis role is ideal for someone who thrives in fast-moving, technology-driven environments and enjoys working at the intersection of law, AI, product innovation, and operational scale. While experience in autonomous vehicles, robotics, or AI would be valuable, it is not essential. We are more interested in candidates with strong foundational commercial skills, sound judgement, and a proven ability to navigate complex legal landscapes in a fast-moving environment.\n\nWe are looking for a proactive, commercially minded self-starter who is comfortable operating independently on a variety of day-to-day commercial legal matters. This role will have significant exposure to cross-border and international matters and will work closely with commercial, procurement, engineering, product, privacy, and fleet ops teams as the company continues to expand.\n\nWayve’s Legal Team focuses on enabling the business to achieve its goals while appropriately identifying and managing legal risk. We are looking for someone who can clearly and confidently explain legal and commercial risks, exercise sound judgement in assessing those risks, and work collaboratively with stakeholders to find practical solutions. You should be comfortable operating in an environment where there is not always established precedent, and focused on helping the business find a path forward rather than simply identifying reasons why something cannot be done.\n\nKey responsibilities:\n\nThis role will report to the Managing Counsel and support the wider Commercial Legal team on a range of legal and commercial matters, including:\n\n - Drafting, reviewing and negotiating a broad range of commercial agreements, from day-to-day supplier, software/SaaS, services and other operational contracts, through to bespoke agreements with OEM customers and Tier 1 suppliers, often involving significant intellectual property, data, privacy and other technology-related issues.\n\n - Advising on intellectual property, AI and data usage (including data used for AI development and training) and other general commercial matters, in partnership with other members of the Legal team and external counsel (where required). This includes advising on novel and emerging areas of law, particularly at the intersection of law and AI, and helping navigate complex questions where legal frameworks, precedent and market practice are still developing\n\n - Advising the business’s People team on various employment and HR matters relating to Wayve’s global workforce (working with local counsel where specialist jurisdictional advice is required)\n\n - Advising on data protection and privacy matters, including supporting the use and sharing of data in connection with Wayve's products, commercial relationships and AI development and training\n\n - Helping to improve and develop scalable processes, templates, playbooks, and governance structures to support Wayve’s growth and contracting volume\n\n - Supporting strategic initiatives, international expansion, and new product deployments from a commercial legal perspective\n\n - Supporting Wayve’s operational teams, including Fleet Operations, in connection with the operation, testing and deployment of Wayve’s vehicle fleet across its international markets\n\n - Educating and enabling the business on commercial risk, contracting best practices, and legal process matters, and supporting other members of the Legal Team\n\nAbout you:\n\nIn order to set you up for success as a Legal Counsel (Commercial) at Wayve, we’re looking for the following skills and experience.\n\nEssential\n\n - Qualified solicitor in England and Wales\n\n - Trained at a leading law firm with 2 to 4 years of relevant post-qualification experience (although we are open to candidates with more or less experience) \n\n - Strong experience drafting and negotiating complex commercial agreements, including procurement, supply chain, technology, and vendor contracts\n\n - Comfortable negotiating directly with commercial counterparties and able to communicate legal positions clearly and pragmatically\n\n - Excellent communication and stakeholder management skills, with the ability to distil complex legal issues and clearly explain legal and commercial risk to non-legal stakeholders\n\n - Experience supporting strategic commercial transactions and working closely with business stakeholders in fast-moving, technology-driven environments\n\n - Strong commercial judgement and an ability to assess legal risk in the context of broader business objectives, providing practical, solutions-oriented advice that enables the business to achieve its goals while appropriately managing risk\n\n - Experience advising on employment-related matters affecting a global workforce, or a willingness to develop experience in this area, including navigating a fast-paced employment environment\n\n - Ability to work autonomously on day-to-day matters, take initiative, exercise sound judgement on when to escalate, and operate effectively in a fast-paced and evolving environment\n\n - Experience partnering cross-functionally with business stakeholders and an ability to communicate effectively with both legal and non-legal experts\n\n - Strong organisational and prioritisation skills, with the ability to manage multiple workstreams simultaneously and switch effectively between competing priorities\n\n - Enthusiasm for getting stuck into a broad range of legal matters, including areas outside your existing experience, and comfort working through novel legal and commercial questions where there may be limited precedent or established market practice\n\nDesirable\n\nExperience in one or more of the following areas is a major plus:\n\n - Commercial experience within the automotive, mobility, or broader technology sector, particularly at an OEM, Tier 1 supplier, or similarly complex engineering-led organization\n\n - Experience supporting OEM, strategic partnership, or other large-scale B2B transactions involving hardware, software, data, or integrated technology solutions\n\n - Exposure to AI, data or autonomous vehicle related legal issues\n\n - Cross-border commercial advisory experience across the UK, US, Europe and Japan. \n\n - Experience supporting commercial or employment matters in Germany, including familiarity with the German legal and regulatory environment and working with German stakeholders and local counsel.\n\n - Experience helping to automate and scale legal processes, templates, or commercial legal functions \n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Some international travel may be required.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"d8f9d654-599d-4b57-acb0-d052497fc75e","title":"Operations Manager","department":"Fleet Operations","team":"Fleet Operations","employmentType":"FullTime","location":"Leonberg, Germany","secondaryLocations":[],"publishedAt":"2026-09-21T19:19:46.782+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/d8f9d654-599d-4b57-acb0-d052497fc75e","applyUrl":"https://jobs.ashbyhq.com/wayve/d8f9d654-599d-4b57-acb0-d052497fc75e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
The Operations Manager – Remote Operations and Feature Testing will lead our internal VSO team responsible for delivering remote operations and feature testing activities.
This role is responsible for turning testing priorities into safe, practical and executable operational plans. You will ensure that the team, vehicles, resources and processes are set up to deliver high-quality testing outputs across different locations and, where required, across different countries.
A key part of the role will be working closely with Product, Engineering, Safety, Field Engineering, Fleet Servicing and Maintenance, Training, Systems & Insights, Quality Assurance and other relevant teams to align on testing priorities, understand operational feasibility, and help shape the execution plan.
You will line manage the Remote Operations and Feature Testing VSO team, supporting their performance, development and wellbeing while creating a clear and consistent operating model for the team.
This is a role for someone who can balance people leadership, operational planning, safety, stakeholder management and delivery in a fast-moving testing environment.
Lead the operational delivery of internal Remote Operations and Feature Testing activities.
Translate testing priorities and business requirements into clear tactical plans for the VSO team.
Plan and coordinate testing activities across different locations and countries where required.
Work closely with internal stakeholders to align on testing priorities, operational feasibility and delivery plans.
Support the prioritisation of testing activities based on business needs, staffing, vehicle readiness, safety requirements, local constraints and delivery risks.
Ensure daily testing activities are delivered safely, efficiently and in line with agreed KPIs, testing goals and operational standards.
Balance vehicle availability, staffing, shift coverage and testing requirements to maximise productive testing time.
Identify operational blockers early and work with the relevant teams to resolve them.
Ensure the team is prepared for new testing requirements, feature testing activities, remote support missions and changes in operational scope.
Line manage the Remote Operations and Feature Testing VSOs, supporting performance, development, engagement and wellbeing.
Lead team performance management by setting clear expectations, supporting development and ensuring concerns are addressed consistently and professionally.
Ensure new processes, SOPs and operational changes are communicated clearly and applied consistently across the team.
Act as escalation point for safety concerns, operational risks and serious incidents.
Promote a safety-first culture where concerns are raised early and acted on appropriately.
Use data, operational feedback and team input to improve planning, utilisation, issue resolution and testing delivery.
Support the scaling of internal testing operations while maintaining safety, quality and consistency.
Proven experience in operational management, ideally in automotive testing, fleet operations, logistics, technology operations or another fast-paced operational environment.
Strong people leadership experience, including direct management of operational teams.
Ability to translate high-level priorities into clear operational plans.
Strong understanding of resource planning, shift planning and performance management.
Experience managing operational KPIs, identifying performance gaps and driving improvements.
Strong communication skills and confidence working with cross-functional stakeholders.
Ability to make sound decisions under pressure and manage competing priorities.
Strong safety mindset and experience operating in a controlled or safety-sensitive environment.
Comfortable working in a dynamic environment where plans can change quickly.
Ability to work across teams and influence priorities by providing clear operational input.
Experience with ADAS, autonomous vehicle testing, automotive development or remote operations.
Understanding of vehicle testing, data collection, feature testing or safety driver operations.
Experience working with VSOs, technicians, field engineers or similar operational teams.
Experience planning operational activities across different countries or markets.
German language skills or experience working within German operational environments.
Experience with tools such as Fleetio, Jira, Slack, planning systems or KPI dashboards.
This is a full-time role with the primary workplace based in Leonberg, Germany.
The standard working pattern is generally Monday to Friday. Some flexibility may be required during remote support periods, feature testing activities, incidents or cross-country testing programmes.
Occasional travel within Germany and to other European testing locations may be required to support test execution, team coordination, stakeholder alignment and operational readiness.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nThe Operations Manager – Remote Operations and Feature Testing will lead our internal VSO team responsible for delivering remote operations and feature testing activities.\n\nThis role is responsible for turning testing priorities into safe, practical and executable operational plans. You will ensure that the team, vehicles, resources and processes are set up to deliver high-quality testing outputs across different locations and, where required, across different countries.\n\nA key part of the role will be working closely with Product, Engineering, Safety, Field Engineering, Fleet Servicing and Maintenance, Training, Systems & Insights, Quality Assurance and other relevant teams to align on testing priorities, understand operational feasibility, and help shape the execution plan.\n\nYou will line manage the Remote Operations and Feature Testing VSO team, supporting their performance, development and wellbeing while creating a clear and consistent operating model for the team.\n\nThis is a role for someone who can balance people leadership, operational planning, safety, stakeholder management and delivery in a fast-moving testing environment.\n\n\nKEY RESPONSIBILITIES\n\n - Lead the operational delivery of internal Remote Operations and Feature Testing activities.\n\n - Translate testing priorities and business requirements into clear tactical plans for the VSO team.\n\n - Plan and coordinate testing activities across different locations and countries where required.\n\n - Work closely with internal stakeholders to align on testing priorities, operational feasibility and delivery plans.\n\n - Support the prioritisation of testing activities based on business needs, staffing, vehicle readiness, safety requirements, local constraints and delivery risks.\n\n - Ensure daily testing activities are delivered safely, efficiently and in line with agreed KPIs, testing goals and operational standards.\n\n - Balance vehicle availability, staffing, shift coverage and testing requirements to maximise productive testing time.\n\n - Identify operational blockers early and work with the relevant teams to resolve them.\n\n - Ensure the team is prepared for new testing requirements, feature testing activities, remote support missions and changes in operational scope.\n\n - Line manage the Remote Operations and Feature Testing VSOs, supporting performance, development, engagement and wellbeing.\n\n - Lead team performance management by setting clear expectations, supporting development and ensuring concerns are addressed consistently and professionally.\n\n - Ensure new processes, SOPs and operational changes are communicated clearly and applied consistently across the team.\n\n - Act as escalation point for safety concerns, operational risks and serious incidents.\n\n - Promote a safety-first culture where concerns are raised early and acted on appropriately.\n\n - Use data, operational feedback and team input to improve planning, utilisation, issue resolution and testing delivery.\n\n - Support the scaling of internal testing operations while maintaining safety, quality and consistency.\n\n\nABOUT YOU\n\n\nESSENTIAL\n\n - Proven experience in operational management, ideally in automotive testing, fleet operations, logistics, technology operations or another fast-paced operational environment.\n\n - Strong people leadership experience, including direct management of operational teams.\n\n - Ability to translate high-level priorities into clear operational plans.\n\n - Strong understanding of resource planning, shift planning and performance management.\n\n - Experience managing operational KPIs, identifying performance gaps and driving improvements.\n\n - Strong communication skills and confidence working with cross-functional stakeholders.\n\n - Ability to make sound decisions under pressure and manage competing priorities.\n\n - Strong safety mindset and experience operating in a controlled or safety-sensitive environment.\n\n - Comfortable working in a dynamic environment where plans can change quickly.\n\n - Ability to work across teams and influence priorities by providing clear operational input.\n\n\nDESIRABLE\n\n - Experience with ADAS, autonomous vehicle testing, automotive development or remote operations.\n\n - Understanding of vehicle testing, data collection, feature testing or safety driver operations.\n\n - Experience working with VSOs, technicians, field engineers or similar operational teams.\n\n - Experience planning operational activities across different countries or markets.\n\n - German language skills or experience working within German operational environments.\n\n - Experience with tools such as Fleetio, Jira, Slack, planning systems or KPI dashboards.\n\n\nLOCATION AND WORKING PATTERN\n\nThis is a full-time role with the primary workplace based in Leonberg, Germany.\n\nThe standard working pattern is generally Monday to Friday. Some flexibility may be required during remote support periods, feature testing activities, incidents or cross-country testing programmes.\n\nOccasional travel within Germany and to other European testing locations may be required to support test execution, team coordination, stakeholder alignment and operational readiness.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"9e31ede3-b2ea-40a4-9bf2-e9db22682c65","title":"Research Scientist, Wayve Labs","department":"Wayve Labs","team":"Wayve Labs","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-05-15T19:40:47.725+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/9e31ede3-b2ea-40a4-9bf2-e9db22682c65","applyUrl":"https://jobs.ashbyhq.com/wayve/9e31ede3-b2ea-40a4-9bf2-e9db22682c65/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re looking for Research Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving and robotics. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.
Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:
World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.
Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.
Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.
Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.
Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data
Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.
Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.
Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance
Must-haves:
3+ years of experience developing and deploying ML systems in real-world or production settings
PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field
Deep expertise in one or more core Embodied AI areas, such as:
Foundation models (e.g., transformers, MoE, large-scale training)
Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)
Reinforcement learning (e.g., offline RL, RLHF, reward modeling)
Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)
Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)
Strong programming skills in Python, with experience using frameworks such as PyTorch
A data-centric mindset, with experience working on large-scale datasets and evaluation
Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams
Nice-to-haves:
Experience in autonomous driving, robotics, or simulation systems
Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
Experience with sim-to-real transfer or data-efficient learning
Contributions to open-source ML tools or research infrastructure
Attractive compensation with salary and equity
Immersion in a team of world-class researchers, engineers and entrepreneurs
A unique position to shape the future of autonomy and tackle the biggest challenge of our time
Bespoke learning and development opportunities
Relocation support with visa sponsorship
Flexible working hours - we trust you to do your job well, at times that suit you and your time
Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe’re looking for Research Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving and robotics. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.\n\nSituated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:\n\nWorld & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.\n\nRepresentation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.\n\nScalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.\n\nCross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors. \n\n\nKEY RESPONSIBILITIES\n\n - Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation\n\n - Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data\n\n - Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.\n\n - Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.\n\n - Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer\n\n - Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance\n\n\nWHAT YOU’LL BRING\n\nMust-haves:\n\n - 3+ years of experience developing and deploying ML systems in real-world or production settings\n\n - PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field\n\n - Deep expertise in one or more core Embodied AI areas, such as:\n \n - Foundation models (e.g., transformers, MoE, large-scale training)\n \n - Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)\n \n - Reinforcement learning (e.g., offline RL, RLHF, reward modeling)\n \n - Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)\n\n - Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)\n\n - Strong programming skills in Python, with experience using frameworks such as PyTorch\n\n - A data-centric mindset, with experience working on large-scale datasets and evaluation\n\n - Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams\n\nNice-to-haves:\n\n - Experience in autonomous driving, robotics, or simulation systems\n\n - Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)\n\n - Experience with sim-to-real transfer or data-efficient learning\n\n - Contributions to open-source ML tools or research infrastructure\n\n\nWHAT WE OFFER YOU \n\n - Attractive compensation with salary and equity \n\n - Immersion in a team of world-class researchers, engineers and entrepreneurs \n\n - A unique position to shape the future of autonomy and tackle the biggest challenge of our time \n\n - Bespoke learning and development opportunities \n\n - Relocation support with visa sponsorship \n\n - Flexible working hours - we trust you to do your job well, at times that suit you and your time \n\n - Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"50056889-19aa-420f-875d-777cb81c9c0e","title":"Research Scientist, Wayve Labs","department":"Wayve Labs","team":"Wayve Labs","employmentType":"FullTime","location":"Vancouver, Canada","secondaryLocations":[],"publishedAt":"2026-05-15T19:56:05.389+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/50056889-19aa-420f-875d-777cb81c9c0e","applyUrl":"https://jobs.ashbyhq.com/wayve/50056889-19aa-420f-875d-777cb81c9c0e/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re looking for Research Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving and robotics. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.
Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:
World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.
Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.
Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.
Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.
Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data
Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.
Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.
Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance
Must-haves:
3+ years of experience developing and deploying ML systems in real-world or production settings
PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field
Deep expertise in one or more core Embodied AI areas, such as:
Foundation models (e.g., transformers, MoE, large-scale training)
Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)
Reinforcement learning (e.g., offline RL, RLHF, reward modeling)
Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)
Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)
Strong programming skills in Python, with experience using frameworks such as PyTorch
A data-centric mindset, with experience working on large-scale datasets and evaluation
Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams
Nice-to-haves:
Experience in autonomous driving, robotics, or simulation systems
Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
Experience with sim-to-real transfer or data-efficient learning
Contributions to open-source ML tools or research infrastructure
Attractive compensation with salary and equity
Immersion in a team of world-class researchers, engineers and entrepreneurs
A unique position to shape the future of autonomy and tackle the biggest challenge of our time
Bespoke learning and development opportunities
Relocation support with visa sponsorship
Flexible working hours - we trust you to do your job well, at times that suit you and your time
Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!
This is a full-time role based in our office in Vancouver. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe’re looking for Research Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving and robotics. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.\n\nSituated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:\n\nWorld & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.\n\nRepresentation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.\n\nScalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.\n\nCross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors. \n\n\nKEY RESPONSIBILITIES\n\n - Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation\n\n - Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data\n\n - Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.\n\n - Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.\n\n - Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer\n\n - Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance\n\n\nWHAT YOU’LL BRING\n\nMust-haves:\n\n - 3+ years of experience developing and deploying ML systems in real-world or production settings\n\n - PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field\n\n - Deep expertise in one or more core Embodied AI areas, such as:\n \n - Foundation models (e.g., transformers, MoE, large-scale training)\n \n - Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)\n \n - Reinforcement learning (e.g., offline RL, RLHF, reward modeling)\n \n - Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)\n\n - Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)\n\n - Strong programming skills in Python, with experience using frameworks such as PyTorch\n\n - A data-centric mindset, with experience working on large-scale datasets and evaluation\n\n - Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams\n\nNice-to-haves:\n\n - Experience in autonomous driving, robotics, or simulation systems\n\n - Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)\n\n - Experience with sim-to-real transfer or data-efficient learning\n\n - Contributions to open-source ML tools or research infrastructure\n\n\nWHAT WE OFFER YOU \n\n - Attractive compensation with salary and equity \n\n - Immersion in a team of world-class researchers, engineers and entrepreneurs \n\n - A unique position to shape the future of autonomy and tackle the biggest challenge of our time \n\n - Bespoke learning and development opportunities \n\n - Relocation support with visa sponsorship \n\n - Flexible working hours - we trust you to do your job well, at times that suit you and your time \n\n - Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!\n\nThis is a full-time role based in our office in Vancouver. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"f20a467f-7a8a-46ca-94bf-d4b3d330ea5b","title":"Research Scientist, Wayve Labs","department":"Wayve Labs","team":"Wayve Labs","employmentType":"FullTime","location":"Sunnyvale, California USA","secondaryLocations":[],"publishedAt":"2026-05-18T04:48:53.731+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/f20a467f-7a8a-46ca-94bf-d4b3d330ea5b","applyUrl":"https://jobs.ashbyhq.com/wayve/f20a467f-7a8a-46ca-94bf-d4b3d330ea5b/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re looking for Research Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving and robotics. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.
Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:
World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.
Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.
Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.
Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.
Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data
Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.
Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.
Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance
Must-haves:
3+ years of experience developing and deploying ML systems in real-world or production settings
PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field
Deep expertise in one or more core Embodied AI areas, such as:
Foundation models (e.g., transformers, MoE, large-scale training)
Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)
Reinforcement learning (e.g., offline RL, RLHF, reward modeling)
Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)
Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)
Strong programming skills in Python, with experience using frameworks such as PyTorch
A data-centric mindset, with experience working on large-scale datasets and evaluation
Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams
Nice-to-haves:
Experience in autonomous driving, robotics, or simulation systems
Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
Experience with sim-to-real transfer or data-efficient learning
Contributions to open-source ML tools or research infrastructure
Attractive compensation with salary and equity
Immersion in a team of world-class researchers, engineers and entrepreneurs
A unique position to shape the future of autonomy and tackle the biggest challenge of our time
Bespoke learning and development opportunities
Relocation support with visa sponsorship
Flexible working hours - we trust you to do your job well, at times that suit you and your time
Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!
This is a full-time role based in our office in Sunnyvale based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $230,000 to $380,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe’re looking for Research Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving and robotics. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.\n\nSituated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:\n\nWorld & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.\n\nRepresentation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.\n\nScalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.\n\nCross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors. \n\n\nKEY RESPONSIBILITIES\n\n - Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation\n\n - Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data\n\n - Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.\n\n - Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.\n\n - Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer\n\n - Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance\n\n\nWHAT YOU’LL BRING\n\nMust-haves:\n\n - 3+ years of experience developing and deploying ML systems in real-world or production settings\n\n - PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field\n\n - Deep expertise in one or more core Embodied AI areas, such as:\n \n - Foundation models (e.g., transformers, MoE, large-scale training)\n \n - Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)\n \n - Reinforcement learning (e.g., offline RL, RLHF, reward modeling)\n \n - Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)\n\n - Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)\n\n - Strong programming skills in Python, with experience using frameworks such as PyTorch\n\n - A data-centric mindset, with experience working on large-scale datasets and evaluation\n\n - Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams\n\nNice-to-haves:\n\n - Experience in autonomous driving, robotics, or simulation systems\n\n - Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)\n\n - Experience with sim-to-real transfer or data-efficient learning\n\n - Contributions to open-source ML tools or research infrastructure\n\n\nWHAT WE OFFER YOU \n\n - Attractive compensation with salary and equity \n\n - Immersion in a team of world-class researchers, engineers and entrepreneurs \n\n - A unique position to shape the future of autonomy and tackle the biggest challenge of our time \n\n - Bespoke learning and development opportunities \n\n - Relocation support with visa sponsorship \n\n - Flexible working hours - we trust you to do your job well, at times that suit you and your time \n\n - Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!\n\nThis is a full-time role based in our office in Sunnyvale based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $230,000 to $380,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.\n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."},{"id":"c9a08c72-376a-4ae3-bf73-3d5228c9f6e6","title":"Staff Research Scientist, Reinforce Learning","department":"Wayve Labs","team":"Wayve Labs","employmentType":"FullTime","location":"London, United Kingdom","secondaryLocations":[],"publishedAt":"2026-09-22T14:18:32.226+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":null,"jobUrl":"https://jobs.ashbyhq.com/wayve/c9a08c72-376a-4ae3-bf73-3d5228c9f6e6","applyUrl":"https://jobs.ashbyhq.com/wayve/c9a08c72-376a-4ae3-bf73-3d5228c9f6e6/application","descriptionHtml":"Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
We’re looking for Research Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.
Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:
World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.
Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.
Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.
Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.
Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data
Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.
Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.
Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance
Must-haves:
3+ years of experience developing and deploying ML systems in real-world or production settings
PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field
Deep expertise in one or more core Embodied AI areas, such as:
Foundation models (e.g., transformers, MoE, large-scale training)
Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)
Reinforcement learning (e.g., offline RL, RLHF, reward modeling)
Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)
Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)
Strong programming skills in Python, with experience using frameworks such as PyTorch
A data-centric mindset, with experience working on large-scale datasets and evaluation
Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams
Nice-to-haves:
Experience in autonomous driving, robotics, or simulation systems
Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
Experience with sim-to-real transfer or data-efficient learning
Contributions to open-source ML tools or research infrastructure
Attractive compensation with salary and equity
Immersion in a team of world-class researchers, engineers and entrepreneurs
A unique position to shape the future of autonomy and tackle the biggest challenge of our time
Bespoke learning and development opportunities
Relocation support with visa sponsorship
Flexible working hours - we trust you to do your job well, at times that suit you and your time
Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
","descriptionPlain":"Before the detail, here's the challenge you'd help us solve.\n\n\n\nWe build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.\n\n\n\nHere’s what this particular role covers.\n\n\nTHE ROLE\n\nWe’re looking for Research Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.\n\nSituated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:\n\nWorld & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.\n\nRepresentation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.\n\nScalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.\n\nCross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors. \n\n\nKEY RESPONSIBILITIES\n\n - Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation\n\n - Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data\n\n - Develop Geometric Foundation Models for 3D spatial understanding in dynamic, real-world environments.\n\n - Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.\n\n - Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer\n\n - Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance\n\n\nWHAT YOU’LL BRING\n\nMust-haves:\n\n - 3+ years of experience developing and deploying ML systems in real-world or production settings\n\n - PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field\n\n - Deep expertise in one or more core Embodied AI areas, such as:\n \n - Foundation models (e.g., transformers, MoE, large-scale training)\n \n - Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)\n \n - Reinforcement learning (e.g., offline RL, RLHF, reward modeling)\n \n - Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)\n\n - Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)\n\n - Strong programming skills in Python, with experience using frameworks such as PyTorch\n\n - A data-centric mindset, with experience working on large-scale datasets and evaluation\n\n - Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams\n\nNice-to-haves:\n\n - Experience in autonomous driving, robotics, or simulation systems\n\n - Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)\n\n - Experience with sim-to-real transfer or data-efficient learning\n\n - Contributions to open-source ML tools or research infrastructure\n\n\nWHAT WE OFFER YOU \n\n - Attractive compensation with salary and equity \n\n - Immersion in a team of world-class researchers, engineers and entrepreneurs \n\n - A unique position to shape the future of autonomy and tackle the biggest challenge of our time \n\n - Bespoke learning and development opportunities \n\n - Relocation support with visa sponsorship \n\n - Flexible working hours - we trust you to do your job well, at times that suit you and your time \n\n - Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!\n\nThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. \n\nA quick, honest note before you apply.\n\nWayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.\n\n\n\nIf that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you."}],"apiVersion":"1"}