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 datasets Team
Wayve's datasets team own the driving data that our AI Driver learns from, covering ingestion, annotation, retrieval and data quality. As our data grows from hundreds of petabytes towards exabyte scale, deciding what we keep, and where, is one of the biggest levers on both model quality and cost. This role sits at the centre of that challenge, shaping the data that model engineers train on across the company.
🧠 Your day-to-day
Build and own the ingestion-time model that scores incoming driving data and routes it to hot, cold, archive or delete
Work with training teams to define the right data distributions for every model we're building
Deliver early storage-cost savings through practical heuristics, then develop ML-driven filtering
Partner with ingestion, annotation, retrieval, data quality, model training, AV/robotics, evaluation and storage teams to set company-wide data policy
Lead and work hands-on with a small group of software and ML engineers to build data provisioning and data provenance features into Corpus
🧩 What you’ll be working on
Defining our dataset content strategy: which data and metadata we need, and why, so training teams can select the most valuable data as smoothly as possible
Steering data selection by what our model engineers need right now. For example, if we're weak at unprotected right turns at traffic lights, those scenarios go straight to hot storage
Delivering large, measurable storage-cost savings as ingestion scales across our internal fleet and partner and OEM data
Evolving from practical heuristics to ML-driven filtering, and influencing what gets filtered at the vehicle and edge
Working as a pair with our Corpus Implementation Engineer to turn strategy into production systems
🙌 You should apply if
You have strong autonomous-vehicle or robotics experience, working with large-scale driving, sensor or comparable data
You're a principal, hands-on ML engineer who has built models that score, select or filter data
You've operated at petabyte scale and are comfortable with the engineering that comes with it
You're strong in Python and Spark, with large-scale cloud data experience
You have strong quantitative intuition and use it to make practical, measurable decisions
You're pragmatic and high-ownership, and can set direction across several teams without direct authority
You bring experience in data selection, retention or filtering for model training, edge or vehicle-side filtering, computer vision or high-volume IoT data, or leading small cross-functional groups (any of these is a bonus)
🌱 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)
Intro with the hiring manager (1 hour)
Competency interviews: system design and technical leadership (2 hours total)
Deep dive: domain interview (1 hour)
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.
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.
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 Simulation Teams
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. 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. 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 quickly can we deploy autonomous driving in a geography where we’ve never collected AV data?
🧠 Your day-to-day
Algorithmic and system design: define approach to GAIA generation, system design of the synthetic data pipeline and controllability engine, focus on efficiency and quality.
Cross-team collaboration: aligning with driving-model owners and with evaluation and safety team on utility and scalability of generated data.
Mentorship / async review: reviewing a teammate’s experimental design, PR, or ablation write-up and giving direct feedback.
1:1s and feedback: building rapport and managing your direct reports.
Up to date with state of the art: keeping current on video generation, camera transfer, distillation — insofar as it changes a checkpoint or a mix we ship.
Strategy: leading or joining strategic discussions on the synthetic data roadmap, safety case and platform bring-up sequencing.
🧩 What you’ll be working on
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.
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.
🙌 You should apply if
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.
🌱 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/Pytorch Debugging and hiring manager interview; 2 hours total)
Deep-dive technical interviews (Systems & domain-specific interviews; 3 hours total)
Final interview: Mission & values alignment (45 mins)..
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.
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.
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.
System Integration Engineer
🛠️ About our Systems Integration Team
Wayve's Systems Integration team brings together hardware and software across autonomous vehicle platforms, development benches and Hardware-in-the-Loop systems. The team prototypes, assembles, brings up and troubleshoots complex systems to improve the performance, reliability and repeatability of our next-generation vehicle platforms.
🧠 Your day-to-day
As a System Integration Engineer at Wayve, you'll lead the integration and bring-up of cutting-edge autonomous vehicle platforms. You'll work across hardware and software boundaries to prototype, assemble and test complex systems both in-vehicle and on development benches, while supporting vehicle integration development and issue troubleshooting to improve the performance and reliability of our next-generation systems.
🧩 What you’ll be working on:
• Integrate and bring up 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 workflows.
• Bring up and maintain development benches and Hardware-in-the-Loop (HIL) systems.
🙌 You should apply if:
• You have 7+ years of experience integrating and developing complex systems.
• You bring broad technical comprehension across electrical, mechanical and software systems.
• You have proven hands-on experience debugging and assembling hardware/software systems.
• You communicate and collaborate effectively across engineering disciplines.
• You bring multidisciplinary troubleshooting skills, a strong sense of ownership and the initiative to drive issues through to resolution.
• You have a Bachelor's degree in Electrical Engineering, Mechanical Engineering or equivalent experience.
Nice to have
• You have experience working on autonomous vehicles, robotics or similar advanced systems.
• You are skilled in prototyping electronics, wire harnesses and custom hardware components.
• You are comfortable working in Linux environments and with scripting tools.
• You can read and understand code in languages such as C++, Python or JavaScript.
• You have experience using application-level software for testing, flashing and triaging issues.
• You have experience working with suppliers and contract manufacturers on design validation and manufacturing.
This is a full-time role based in Sunnyvale, CA (hybrid). The reasonably estimated salary for this role ranges from $246,400 to $289,900, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications and experience. At Wayve, we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with focused time working from home. We also operate core working hours so you can determine the schedule that works best for you and your team.
🌱 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:
Recruiter screen
Hiring Manager interview
Technical / Systems Integration interview
Deep Dive interview
Mission & Values interview
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.
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.
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 Robot Software team builds the software that runs across our internal vehicle fleet, enabling autonomous driving and collecting the data used to train new driving models. We deliver a reliable, stable, and flexible software stack that allows model developers and scientists to run on-road experiments, iterate quickly, and bring new autonomous-driving capabilities to life.
The Runtime Platform team owns the shared foundations that the onboard software stack depends on: application frameworks, communication middleware, application lifecycle management, system health monitoring, performance, and observability. We build reusable runtime capabilities that help engineering teams develop and operate reliable software across different vehicles, operating systems, and compute platforms.
As a Software Engineer, Runtime Platform, you’ll develop shared runtime software, investigate end-to-end performance, and help guide architectural decisions across Robot Software. Your work will help the onboard stack meet its latency, throughput, reliability, and resource requirements as it evolves and moves onto new platforms.
🧠 Your day-to-day
Design, build, and maintain shared onboard application frameworks and developer interfaces.
Develop application lifecycle management, health monitoring, fault reporting, and runtime diagnostics.
Evolve Wayve’s communication middleware by evaluating technologies, migrating components, and supporting new operating systems and compute platforms.
Investigate latency and performance bottlenecks across the full onboard software stack.
Instrument software with profiling tools and metrics to identify optimisation opportunities.
Collaborate with engineering teams to understand performance pain points and prioritise improvements by impact.
Work with internal teams and middleware suppliers to resolve integration issues and establish shared APIs, documentation, and best practices.
🧩 What you’ll be working on
Shared runtime services and application frameworks used across Robot Software.
Communication middleware and high-throughput, low-latency inter-process communication.
Application lifecycle, system health monitoring, fault reporting, and runtime resource management.
End-to-end profiling across OS scheduling, memory hierarchy, CPU caches, context switching, thread synchronisation, and critical code paths.
New profiling and instrumentation tools for benchmarking system performance and establishing baselines.
Automated benchmarks and CI checks that detect performance regressions and validate runtime behaviour across supported platforms.
Ports and integrations across new operating systems, vehicle compute, and hardware platforms.
Observability infrastructure for logs, metrics, traces, and fleet-level performance analysis.
🙌 You should apply if
You have strong software-development experience in C++.
You are proficient with performance-profiling tools and techniques for finding and resolving system bottlenecks.
You have a proven, methodical approach to designing experiments and evaluating results.
You have a strong foundation in OS scheduling, computer architecture, memory hierarchy, CPU caches, context switching, and thread synchronisation.
You have developed or maintained middleware, application frameworks, communication infrastructure, lifecycle management, or shared runtime services.
You can design maintainable interfaces and help multiple engineering teams integrate and adopt shared software components.
You can collaborate across teams to turn performance data into clear architectural and optimisation decisions.
Deep experience with communication middleware or application-framework design would be especially valuable. Experience porting systems software across operating systems and hardware platforms, building automated performance benchmarks in CI, or using NVIDIA tools such as Nsight, Lumos, and tegrastat is also relevant. Familiarity with Grafana, Databricks, Datadog, QNX, or Momentics is a plus.
🌱 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 recruiter screen — 25 mins
Competency Interviews — Programming and technical domain interviews (2 hours)
Deep-dive technical interviews — Programming, hiring manager, and software design interviews (3 hours)
Final interview: Mission & values alignment (30 mins)
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.
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.
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
Our Customer Integration Engineers sit close to our automotive partners, supporting them from the first integration through to final validation of Wayve's technology. Based near customer sites, the team bridges customer vehicle integration teams and Wayve's internal engineering teams, so issues are diagnosed in real time and resolved quickly. [Add team name, size and reporting line here.
🧠 Your day-to-day
Provide hands-on technical support to customers throughout development and validation
Run rapid diagnostics alongside customer engineering teams and identify issues in real time
Act as the bridge between customer vehicle integration teams and Wayve's internal engineering teams
Troubleshoot and resolve technical issues with our technology independently, escalating complex or critical issues to the right internal stakeholders
🧩 What you’ll be working on:
Building a deep understanding of customer vehicle systems and APIs (e.g. drive-by-wire) so you can guide our internal teams effectively
Keeping a system-level view to find root causes, and telling apart vehicle-related issues from those specific to the Wayve AI Driver
Supporting integration of our mapless, hardware-agnostic AI Driver into customer development vehicles, through to validation
Feeding what you learn on customer vehicles back into Wayve's engineering teams
🙌 You should apply if:
Essential
Strong problem-solving and analytical thinking
Hands-on experience with development vehicles
Solid understanding of vehicle communication protocols (CAN, Ethernet) and automotive system architectures
Proficiency with diagnostic and calibration tools (CANape or similar)
Practical experience in an automotive environment
Ability to lead investigations into platform or vehicle issues with internal and customer teams
Excellent communication with customers and internal teams
Willingness to travel as required
Good to have
Track record of bringing products to production
Comfort with the terminal and basic programming skills (the old JD only asks for willingness to develop these)
Familiarity with customer vehicle APIs, such as drive-by-wire
🌱 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 interview (hiring manager interview; 60 min total)
Deep-dive technical interviews (Technical interview, Automotive domain interview; 2 hours total)
Final interview: Value alignment ( 60min)
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
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination.
The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
- All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
- Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
- Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 Verification and Release Test Team
Wayve’s Verification and Release Test team sits at the intersection of hardware, embedded software and machine learning models. Our testing spans component, system and vehicle levels, and we build novel test automation in-house to identify issues earlier in development. We pride ourselves on finding the most efficient and effective ways to deliver the most valuable results for the company.
As a System Test Engineer, HIL, you’ll build robust, reusable automation and work across engineering disciplines to improve 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 Wayve and your experience evolve.
🧠 Your day-to-day
Develop automation for system functionality tests at component, integration and system levels, working across software and hardware boundaries.
Lead root-cause investigations for failures identified during test campaigns, collaborating with hardware, software, infrastructure and DevOps teams to resolve issues.
Analyse test results, uncover software and hardware bugs, and report findings through Jira with clear evidence to support debugging.
Optimise Buildkite CI/CD-integrated test workflows for rapid, reliable and repeatable execution.
Review, create and follow risk assessments to ensure all testing activities are conducted safely and responsibly.
🧩 What you’ll be working on:
Independently owning the design and delivery of automated verification for a defined area of our embedded software stack, steadily raising the bar on coverage, reliability and traceability.
Building open-loop and closed-loop hardware-in-the-loop (HIL) replay tests, alongside reliability and fault-injection tests, to support verification, release and debugging.
Automating HIL test setups and improving test infrastructure to expand coverage, make failures easier to trace and strengthen compliance reporting.
Integrating requirements, coverage and compliance workflows, including Jama, MC/DC coverage analysis and MISRA checks, and managing test artefacts through Artifactory and Azure.
Developing traceability dashboards and defining KPIs and quality metrics that support data-driven validation and release decisions.
🙌 You should apply if:
You have hands-on experience with system-level verification and validation in robotics, embedded software or mechatronic systems, with a track record of independently delivering test automation.
You’re highly proficient in Python and have experience developing automation test frameworks using pytest.
You’ve worked with HIL testing and tooling, including interfaces such as CAN, Ethernet or GMSL, and tools from dSPACE, Vector, Xylon or similar providers.
You understand open-loop and closed-loop HIL replay testing using dSPACE or other emulators.
You’re familiar with automotive safety and process standards, including ISO 26262, ASPICE and SOTIF, and have experience integrating requirements and test-management tools such as Jama and Xray.
You’re proficient in CI/CD principles and related tooling, such as GitLab CI, Buildkite and Bazel.
You have experience developing or testing automotive software at embedded and system levels, including hardware/software interactions and interface-level testing, and have worked with L2+ hands-off, L3 or L4 automated driving systems.
You have knowledge of consumer safety-rating protocols such as Euro NCAP, including AEB and LSS/LKA scenarios; DCAS regulatory testing under UN R171; and automotive cybersecurity testing and standards, including ISO/SAE 21434 and UN R155.
You’ve worked with test automation dashboards, logging and reporting infrastructure, using tools such as Grafana, Looker, Datadog and Jira.
You’re a self-starter with a sharp eye for improvement who communicates clearly and works effectively across software, hardware, autonomy, DevOps and product teams.
Ideally, you’ve contributed to improvements in test methods, safety procedures or operational efficiency, and are familiar with data management and version control tools such as Git.
Experience using agentic AI coding tools such as Cursor or Claude Code to accelerate and improve test development, debugging and automation workflows would also be valuable.
🌱 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 minutes)
Competency Interviews (Programming and hiring manager interview; 1 hour 45 minutes total)
Deep-dive technical interviews (Cross-functional, system design; 1 hour 45 minutes total)
Final interview: mission & values alignment (45 minutes).
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
✅ 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.
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.
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 Purchasing Team
Wayve’s Purchasing team helps the business scale by ensuring we have the right suppliers, commercial agreements, and procurement processes in place to support our global operations.
As an Indirect Purchasing Manager, you’ll help shape how Wayve sources, manages, and optimizes indirect spend across areas including IT/SaaS, Marketing, People/HR, Facilities, and Security. You’ll work closely with teams across the business to identify the right suppliers, negotiate strong commercial terms, manage risk, and ensure our supplier relationships continue to deliver value as Wayve grows.
This is an opportunity to have a direct impact on how we build a scalable, efficient, and commercially strong procurement function in a fast-moving global environment.
🧠 Your day-to-day
You’ll own procurement activities across a broad range of indirect categories, partnering with internal stakeholders to understand their requirements and develop sourcing strategies that balance cost, quality, service, and risk.
You’ll manage the end-to-end supplier and contract lifecycle — from identifying and evaluating suppliers through negotiation, contracting, onboarding, performance management, renewal, and escalation.
You’ll work closely with Legal, Finance, HR/People, IT, Security, Facilities, and Marketing to ensure purchasing decisions align with business priorities and company policies. You’ll also help improve procurement processes, strengthen supplier governance, and use spend and performance data to identify opportunities for savings and greater efficiency.
🧩 What you’ll be working on:
Developing and executing indirect procurement and sourcing strategies aligned with business priorities and cost-efficiency targets.
Managing sourcing activities across categories including IT/SaaS, Marketing, People/HR services, Facilities, Security, and other corporate services.
Leading supplier identification, evaluation, competitive sourcing, and commercial negotiations.
Owning supplier contracts from initial negotiation and drafting through execution, renewal, and ongoing compliance management.
Negotiating and managing commercial agreements including MSAs, SOWs, NDAs, order forms, and supplier terms, in partnership with Legal.
Building and maintaining strong relationships with global suppliers and monitoring performance, service quality, risk, and compliance.
Managing contract renewals and identifying opportunities to improve commercial terms, consolidate suppliers, or reduce unnecessary spend.
Acting as the key point of contact between suppliers and internal stakeholders for commercial issues, escalations, and performance concerns.
Analyzing spend data, supplier KPIs, market trends, and commercial benchmarks to support sourcing decisions.
Supporting budget planning and forecasting across indirect spend categories.
Implementing and improving procurement best practices, including supplier scorecards, spend tracking, contract lifecycle management, and governance.
Ensuring procurement activities comply with internal policies, ethical sourcing standards, and risk-management requirements.
🙌 You should apply if:
You have 5+ years of experience in procurement, strategic sourcing, supplier management, or a related purchasing role.
You have experience managing indirect spend categories, ideally including IT/SaaS, Marketing, Facilities, People/HR services, Security, or other corporate services.
You have strong end-to-end supplier contract management experience, including negotiation, contract review, execution, renewals, and ongoing vendor management.
You understand global procurement practices, supplier governance, compliance, and third-party risk management.
You have experience partnering closely with Legal, Finance, HR, IT, Security, and other business stakeholders in a matrixed or global organization.
You are a confident commercial negotiator who can balance cost, quality, business requirements, and supplier risk.
You have strong communication and stakeholder-management skills and are comfortable influencing across different functions and levels of seniority.
You are analytical and comfortable using spend data, supplier performance metrics, benchmarks, and KPIs to make informed decisions.
You are highly organized and able to manage multiple sourcing initiatives, contracts, renewals, and supplier relationships at the same time.
You are comfortable operating in a fast-paced, dynamic environment where priorities can change quickly.
Experience with procurement or contract-management platforms such as SAP Ariba, Coupa, Ivalua, Oracle Procurement Cloud, or similar tools would be beneficial.
Annual Base Salary Range: $150,400 - $172,950 USD
This is a full-time role based in our office in Sunnyvale. At Wayve, we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with focused time working from home.
🌱 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
Competency Interviews
Deep-dive technical interviews
Final interview: mission & values alignment
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.
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.
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 Fleet Operations Team
Our Fleet Operations Team is responsible for 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. The team keeps our fleet in peak condition to support testing, demonstrations, and real-world deployment, working closely with engineering, drivers, and operations teams to keep autonomy moving forward, every single day.
🧠 Your day-to-day
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.
🧩 What you'll be working on
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.
🙌 You should apply if
Essential:
You have proven experience as a Service Manager in a dealership, fleet management, or automotive servicing environment.
You have strong leadership ability — able to lead, coach, and develop a high-performing team of Fleet Servicing & Maintenance Technicians.
You're skilled in scheduling, resource allocation, and workflow optimisation to ensure efficient servicing operations.
You have a deep understanding of industry safety regulations, risk management, and compliance within fleet servicing environments.
You communicate effectively with internal teams, leadership, and external partners to align maintenance operations with business needs.
You have a customer-centric, results-driven mindset, committed to high fleet availability and operational efficiency.
You're proficient in tracking maintenance KPIs, analysing fleet performance data, and driving continuous improvements.
You're 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 applicants are required to disclose any second job as part of the application process.
All applications are subject to a health check before/after.
Employment is contingent on passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.
🌱 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.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 min, online)
Competency Interview (60 min, online)
Deep-dive Presentation (60 min, on-site/online) An exercise will be provided in advance.
Final interview: mission & values alignment (30 min, online)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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
📚 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
🤝 Inclusive & Fair Recruitment
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 Fleet Operations Team
Our Fleet Operations team is central to Wayve’s mission of developing and scaling autonomous driving. The team connects business strategy with operations, ensuring our growing fleet is efficiently utilized and our operational plans are aligned with strategic objectives. We collaborate closely with leaders across the business and play a critical role in resourcing, planning, and delivering results across multiple geographies.
🧠 Your day-to-day
Collaborate with Fleet Ops leadership, regional and functional leads, and Finance to align operational plans with business priorities.
Build, maintain, and evolve planning models that connect workforce availability, vehicle capacity, utilization, and cost with testing and program needs.
Analyze budgets, spending, and resource allocation, working closely with Finance and regional leaders.
Lead analytical deep dives into spend anomalies, resourcing constraints, and performance variances; quantify key drivers and recommend actions.
Coordinate planning inputs across regions, functions, and vendors, managing dependencies and resolving escalation points affecting execution.
Structure ambiguous questions into clear, actionable frames, aligning stakeholders and tracking delivery against goals.
Prepare executive-ready presentations to communicate findings, options, and recommendations.
Drive improvements to planning tools, KPI reporting, and workflows, strengthening how we operate at scale.
🧩 What you’ll be working on
Developing robust operational strategies and plans for fleet operations.
Building and refining workforce and fleet capacity models that support business goals.
Partnering with Finance on financial analysis and resource allocation to optimize spend and investment.
Leading analytical research on operational performance, identifying and addressing inefficiencies.
Coordinating resource and staffing plans across global regions, internal teams, and external partners.
Supporting key business initiatives by improving processes, reporting, and cross-functional workflows for scaling the fleet.
🙌 You should apply if
You have at least 5 years of experience in investment banking, consulting, business intelligence, strategy, entrepreneurship, or other relevant fields.
You excel at analysis and quantitative reasoning, with strength in handling large datasets, model-building, and data-driven insights.
You show strong commercial judgment, connecting operational decisions with business outcomes.
You demonstrate proven program management skills: structuring work, managing dependencies, and driving cross-functional delivery.
You have exceptional presentation and storytelling abilities, adept at building concise, clear, and compelling decks for leadership.
You bring high ownership, attention to detail, and effective stakeholder management.
🌱 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.
Desirable
Experience in autonomous vehicles, mobility, logistics, or other fleet-intensive operations.
Experience with workforce planning, fleet utilization, or capacity optimization.
Proficiency with data visualization and analytics tools (e.g., Tableau, Looker, SQL, or similar).
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 (Hiring Manager & Stakeholders; 2 hours total)
Deep-dive technical interviews (Analytical cases, operational and financial analysis, scenario planning; 3 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.
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.
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 Fleet Operations Team
Our Fleet Operations Team is responsible for 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. The team keeps our fleet in peak condition to support testing, demonstrations, and real-world deployment, working closely with engineering, drivers, and operations teams to keep autonomy moving forward, every single day.
🧠 Your day-to-day
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.
🧩 What you'll be working on
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.
🙌 You should apply if
Essential:
You hold a full, clean Japanese driving license, held for a minimum of 5 years.
You have strong driving experience in Japan and confidence operating in complex urban environments.
You have no blameworthy insurance claims in the past three years.
You have strong communication skills in Japanese and can remain calm and professional under pressure.
You're happy working alone and equally happy working within a team.
You're adaptable, reliable, and comfortable operating in evolving environments and processes.
You're proficient in Microsoft Office suite or equivalent (Google Suite).
You're comfortable using smartphones, tablets, and standard workplace software tools — connecting to Wi-Fi and managing settings (brightness, volume, Bluetooth), using basic apps (e.g., Safari, Mail, Photos, Calendar), and troubleshooting common issues (app crashes, restarts, network resets).
Desirable:
You have an advanced driving background (ADI, Emergency Response Advanced Driver, or similar driving qualifications).
You have strong familiarity with driving across urban and highway environments in Japan.
Additional requirements:
Operations run 7 days a week, including mornings, evenings, weekends, and occasional travel support. Shift schedules (rota) are issued at least 4 weeks in advance wherever possible.
Shift pattern: Monday to Sunday, 40 hours per week/weekend (must be able to work weekends) — 06:30–15:30 or 14:30–23:30.
Vehicle Safety Operators are expected to primarily work from one of our operational sites in Yokohama or Tokyo, with occasional travel to support operations (as much notice as possible will be given). Please consider your commute carefully to ensure you can consistently arrive on time.
All applicants are required to disclose any second job as part of the application process.
All applicants are subject to a health check before/after.
Employment is contingent on passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.
🌱 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.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Recruiter Screen (30 mins, online)
Document Screen (Driver's License, Driving Record, Cumulative Points Certificate will be checked)
On-Site Interview (60 mins, Yokohama Office)
Driving Test (2 hours, Yokohama Driving School)
Final interview with Hiring Manager (30 mins, online)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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
📚 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
🤝 Inclusive & Fair Recruitment
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 People Team
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.
🧠 Your day-to-day
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.
🧩 What you’ll be working on
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 (handled 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.
🙌 You should apply if
Essential:
You have at least one year of experience in a People Operations or HR administrative role, with a solid understanding of the full employee lifecycle.
You have knowledge and hands-on experience of Japanese HR administration, including payroll, social and labour insurance, and working-hours management.
You enjoy not just completing set tasks but spotting where things can be improved and making it happen.
You can manage several tasks in parallel, prioritising effectively to keep work moving.
You have strong, considerate communication skills, with the ability to build trust with employees, managers and external partners.
You can work in both Japanese (fluency 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.
🌱 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 online with Talent Partner)
Competency Interview (1 hour online with local team)
Final interview: mission & values alignment (1 hour online with global hiring manager)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 Salaries benchmarked against the market annually
📈 Meaningful equity, sharing in the ownership and long term success of Wayve
✅ 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
🤝 Inclusive & Fair Recruitment
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 Data Quality & Provenance Team
Our Data Quality & Provenance team sits within Wayve’s AI Platform organisation and builds the evidence that helps teams make confident decisions about the data underpinning our embodied AI systems. We develop statistically robust methods, metrics and tools to determine when data-quality, annotation and evaluation signals can be trusted—and when they cannot.
🧠 Your day-to-day
Define measurable, statistically rigorous concepts of data quality, including coverage, label quality, uncertainty, provenance and model performance.
Apply statistical-inference methods to multi-rater annotation, label ambiguity, dataset coverage and black-box model evaluation.
Partner with annotation, autonomy and evaluation teams to translate practical quality questions into defensible metrics.
Build automated reports that clearly communicate confidence, limitations and appropriate interpretation.
Analyse large annotation datasets using Python and SQL to identify quality issues and inform decisions.
Iterate on metrics and reporting based on feedback from the teams using them.
🧩 What you’ll be working on
Statistical methods for distinguishing genuine data-quality problems from label ambiguity, inconsistent annotation or evaluation noise.
Labeler and dataset metrics that support training-data selection, simulation, annotation acceptance and model evaluation.
Reusable quality artefacts that replace one-off analyses with registered, automated metrics and reports.
Multi-rater and human-in-the-loop ML systems, including approaches such as Dawid–Skene-style models, psychometrics and inter-rater agreement.
Quality standards spanning coverage, uncertainty, provenance, annotation quality and predictive-model performance.
Integration of data-science outputs into the platform workflows used by engineering and research teams
🙌 You should apply if
You have strong foundations in classical statistics, including experimental design, sampling, modelling, estimation and inference.
You have practical experience with rater or annotator modelling, inter-rater agreement, label uncertainty or related methods.
You understand data quality across dimensions such as coverage, label quality, uncertainty, provenance and model performance.
You have worked with annotation tooling, QA methodologies, human-in-the-loop ML systems or multi-rater labelled datasets.
You have strong Python and SQL skills and are confident analysing large, complex datasets.
You can turn ambiguous stakeholder questions into rigorous, usable metrics and clearly communicate uncertainty, limitations and decision implications.
Experience with probabilistic or Bayesian modelling, production platform integrations or safety-critical data would be an advantage.
🌱 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 interview: Python Programming (60 mins) Data Curation Domain (60 mins)
Deep-dive interview: Hiring Manager Interview (60 mins) Systems design interview (60 mins)
Final interview: Mission and values alignment (45 mins)
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.
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.
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 Embedded Automotive Platforms Team
Our Embedded Automotive Platforms team builds the production software at the heart of the Wayve Driver. We create the automotive-grade core and platform-adaptation layers that enable Wayve’s autonomous-driving software to run efficiently across embedded hardware, including NVIDIA and Qualcomm platforms. As a central, high-impact team, we work across autonomy, vehicle systems and customer programmes to take software from design through fleet validation and production deployment.
🧠 Your day-to-day
Design and implement modern C++17/20 software for the Wayve Driver core and its platform-adaptation applications.
Develop embedded application and middleware software on Linux, QNX and other real-time operating systems.
Integrate and validate the autonomy stack on automotive reference platforms and Wayve’s internal fleet.
Profile, debug and improve performance across application, middleware and operating-system boundaries.
Own features end to end, from design and implementation through testing, integration and production support.
Collaborate with distributed engineering teams and customer programmes across Israel, the UK and the US.
🧩 What you’ll be working on
The production core of the Wayve Driver and the adaptation layers that bring it to different vehicle and compute platforms.
Automotive-grade C++ systems spanning embedded applications, middleware, hardware abstractions and sensor interfaces.
Integration with NVIDIA DRIVE Orin, Qualcomm 8650/8620 and comparable automotive compute platforms.
Profiling, tracing and debugging complex issues involving performance, latency, reliability and system integration.
Software that supports both Wayve’s internal validation and training fleet and customer vehicle deployments.
🙌 You should apply if
You have strong hands-on experience designing and implementing high-performance production systems in modern C++.
You have developed application or middleware software on embedded Linux, QNX or another RTOS.
You understand middleware architectures and inter-process communication mechanisms.
You have experience in automotive, autonomous driving or robotics, including familiarity with vehicle development and sensor integration.
You are comfortable using profiling, tracing and debugging tools to diagnose bottlenecks, latency and complex system issues.
You have a track record of owning software through design, implementation, testing, integration and production support.
Familiarity with Hardware Abstraction Layers, device-driver integration, NVIDIA or Qualcomm automotive platforms, or standards such as ISO 26262, AUTOSAR and MISRA would be an advantage.
🌱 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 interview C++ Programming (60 mins), Hiring Manager interview (60 mins)
• Deep-dive technical interview: Linux Domain (60 mins), Systems Design (60 mins)
• Final interview: Director interview on mission, values and fit (45 mins)
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.
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.
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 Model Integration and Release Team
Our Model Integration and Release team builds the platform that moves Wayve’s AI Driver models from promising new features through training, simulation, on-road testing and release. Working across the full model lifecycle, the team connects systems and teams to create a scalable, reliable and transparent path to production—helping Wayve deploy new models faster and with greater confidence.
🧠 Your day-to-day
Design and build Python services and microservices that orchestrate the end-to-end model-release workflow.
Integrate feature candidates into release branches and automate readiness checks before training begins.
Connect with training platforms and APIs to coordinate behavioural-cloning, reinforcement-learning and subsequent training steps.
Trigger simulation and on-road tests, collect results and surface quality gates, approvals and release status.
Productionise services on Azure and Kubernetes, improving availability, scalability, performance, monitoring and alerting.
Use AI coding agents to investigate issues, automate manual work and accelerate delivery.
🧩 What you’ll be working on
A trusted, end-to-end platform spanning feature integration, training, simulation, on-road testing, approvals and model promotion.
Distributed workflows and APIs connecting systems owned by Model Engineering, MLOps, Measurement, Evaluation, Simulation, Operations and Release Management.
Reliable approval gates, observability and operational tooling that provide clear visibility into model candidates and their progress.
Cloud-native services running on Azure and Kubernetes, with meaningful metrics, logging, tracing, monitoring and alerting.
Platform UI workflows, including React-based experiences where useful.
Agentic automation that reduces manual engineering effort and increases the team’s delivery capacity.
🙌 You should apply if
You have strong software or platform engineering experience building reliable production services or microservices, ideally in Python.
You have hands-on experience with Kubernetes, cloud-native infrastructure and production service operations; Azure experience would be an advantage.
You have strong system-design skills across distributed workflows, APIs, orchestration and multi-system integrations.
You have established observability using meaningful metrics, logging, tracing, monitoring and alerting.
You can collaborate effectively across organisational boundaries, agree dependable interfaces and work through conflicting priorities.
You use AI coding agents or LLM tools confidently and practically in your day-to-day engineering workflow.
Experience with MLOps, model productionisation, training pipelines, evaluation, simulation or model-release workflows would be an advantage.
Front-end development experience, particularly with React, would also be beneficial.
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.
🌱 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 (Python programming interview and hiring manager interview; 2 hours total)
Deep-dive technical interviews (Software operations/MLOps and system design; 2 hours total)
Final interview: values and overall fit (45 mins)
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.
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.
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 Application Engineering Team(s)
We’re seeking an exceptional Control 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.
🧠 Your day-to-day
We’re seeking an exceptional Control 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.
🧩 What you’ll be working on
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.
🙌 You should apply if
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.
🌱 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 Interview, 60mins & Robotics Domain, 60mins]
Deep-dive technical interviews [Robotics System Design, 60mins]
Final interview: [Mission & Values alignment, 30mins].
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.
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.
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 team
We’re seeking an exceptional Cyber Security Engineer to join our Germany-based team, 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.
🧠 Your day-to-day
TARA Assessment of core onboard SW
Define system assets , define preliminary security level architecture
Lead TARA assessment per architecture definition
Derive external and internal vulnerabilities and control mitigations
Cybersecurity Concept and Plan
Formulate a cybersecurity concept and plan that supports OEM cybersecurity compliance.
Enlist both onboard and development SW and third party library entry points and risks and mitigation plans.
Lead SW DevOp security requirements and validation
Lead specifications for SW DevOp nightly regression flow with respect to security screening
Lead design reviews, define a method and a flow for security improvements, vulnerability and pentests.
OEM and Tier 1 cybersecurity collaboration
Engage with OEMs and Tier 1s to align on external requirements/assumptions based on formulated cybersecurity concept.
Penetration testing alignment: Collaborating live with security consultants or red teams
Joint physical reviews of hardware trust boundaries, key provisioning, secure boot integration, etc.
🧩 What you’ll be working on
As part of our mission to scale end-to-end embodied AI for autonomous driving, we are building a fully automotive compliant ML software product. As an integral part of production compliance and being active in supporting customers complying ISO/SAE 21434, we are looking for an experienced system-minded cybersecurity engineer to lead the security threat analysis and risk assessment of on-board software development process and its in vehicle integration, derive cybersecurity concept and plan and continuously support our SW development cycle from the cybersecurity standpoint.
This role will be critical in defining what level and mitigation policies the company must follow as part of DevOp operation and which security assumptions are translated to OEM and Tier 1 responsibilities as part of the in-vehicle architecture, in order to deploy our embodied AI models in compliance with cybersecurity goals.
🙌 You should apply if
Essential
5+ years experience in cybersecurity systems engineering.
Proven experience orchestrating company’s cybersecurity DevOp policies, running report investigations and ability to drive SW improvements with respect to cybersecurity.
Ability to apply TARA (Threat Analysis and Risk Assessment), experience with STRIDE, HEAVENS 2.0, attack trees, or similar frameworks
Understanding of ISO/SAE 21434 and mapping threats to cybersecurity goals
Skill in assessing impact × feasibility, and converting results into mitigations
Familiarity with Secure Boot, TPM, HSMs, and key provisioning
Understanding of vehicle trust boundaries, secure diagnostics, and network segmentation
Hands-on experience in:
Fuzzing, static analysis, reverse engineering
Familiarity with CVEs and common vulnerability classes in C/C++/Python codebases
Using tools like: Wireshark, CANoe, Binwalk, Ghidra, IDA, Metasploit, AFL, etc.
Secure Software Engineering
Systems Integration & Testing
Comfort working with CI/CD pipelines to enforce security gates
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:
Familiarity with automotive systems cybersecurity, knowledge of ECU architecture and protocols.
🌱 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 [Domain Knowledge, 60mins]
Deep-dive technical interviews [Security Strategy Presentation, 60mins, Cross Functional SW Architecture, 60mins, Platform, 60mins]
Final interview: [Mission & Values alignment, 30mins].
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.
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.
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 Test Engineer Teams
We’re seeking an exceptional Test Engineer to join our Germany-based team 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.
🧠 Your day-to-day
As a Test 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.
🧩 What you’ll be working on
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.
🙌 You should apply if
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.
🌱 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 [Python Programming, 60mins]
Deep-dive technical interviews [System Design, Validation & Release, 60mins, Cross Functional Collaboration, 60mins]
Final interview: [Mission & Values alignment, 30mins].
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.
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.
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 Program Management Teams
We’re seeking an exceptional Customer Program Manager to join our Germany-based team 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.
🧠 Your day-to-day
Lead cross-functional teams in executing complex customer programs, ensuring the successful achievement of program objectives.
Establish and maintain a comprehensive project management framework, including project planning, risk management, change management, and task coordination.
Engage with customers to understand and address their technical requirements and needs.
Collaborate closely with teams across Product, R&D, and other departments to translate customer demands into clear, actionable technical requirements.
Ensure efficient reporting both externally to customers and internally within the organisation.
Work closely with internal development teams to align customer requirements with internal milestone planning and execution.
Provide first-level support to customers, ensuring their needs are met promptly and effectively.
🧩 What you’ll be working on
In this role, you will be responsible for leading and overseeing programs with OEM customers, spanning from early-stage advanced development initiatives to full-scale production programs. You will collaborate closely with the customer to define and manage project plans, ensuring that requirements are seamlessly integrated into the internal development pipeline and delivered on schedule. A deep understanding of the automotive industry and the development of embodied AI systems is essential to effectively guide these programs, identify and report potential risks, and implement a robust change management. You will be at the forefront of delivering meaningful impact to real-world customers.
🙌 You should apply if
Essential
Extensive program management experience in complex automotive software development.
Proficient in utilising program management tools (e.g., Jira) to optimise workflow efficiency and ensure seamless project execution.
Robust technical expertise with comprehensive knowledge of the automotive industry and software development.
A proactive problem-solving mindset.
Exceptional communication and interpersonal skills.
Demonstrated ability to collaborate effectively across multidisciplinary teams.
Willingness to travel as needed.
Desirable
Knowledge of current AI advancements, including Generative AI, AV 2.0, and Large Language Models (LLMs).
Hands-on experience in software development (Python, C++, Rust, …).
A Master’s degree in Engineering or Computer Science.
🌱 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 [Experience conversation with Hiring Manager, 60mins]
Deep-dive technical interviews [Automotive Product, 60mins, Program Management & Cross Functional Collaboration, 60mins]
Final interview: [Mission & Values alignment, 30mins].
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.
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.
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 Map & Route Team
Our Map & Route team sits within Wayve’s Automotive Platforms division in Vehicle Software Engineering, and builds the geospatial foundations behind our AI driver. Working with global-scale data, the team turns road-network and navigation data into reliable products used across Wayve, building geospatial services and data products to support company operations. We work with our model development, experimentation, and evaluation platforms to build an AI driver that uses maps and navigation data like an expert human driver by using map information to enhance training and evaluation of performance. We are a full-stack team owning mapping end to end, getting to touch work that is infrastructure, data engineering, data science, backend and frontend.
🧠 Your day-to-day
Write full-stack services in Python and Typescript, creating novel geospatial services to solve challenging and unique problems we face in building our AI driving products.
Collaborate with internal teams to understand requirements and build solutions with global geospatial data.
Design and build data pipelines with PySpark and Databricks to enrich fleet data with mapping and road-network information at global scale.
Build applications and datasets that support route planning and the preparation of map data for training and simulation.
Integrate with navigation and mapping APIs from providers such as Mapbox, TomTom and Google Maps.
Maintain, support and improve the services the team already runs.
Deploy and operate your services on Azure and Kubernetes, owning them end to end.
🧩 What you’ll be working on
Global-scale geospatial enrichment pipelines that tell us where we’ve driven and what the road network looks like.
Route-planning applications and datasets that help our teams decide where to drive next.
Map data preparation for model training and simulation.
New services you’ll take from idea to production and lead end to end.
🙌 You should apply if
You are a strong, hands-on Python engineer who can deliver high-quality production code at pace.
You are comfortable with an AI-assisted or AI engineering workflow (ideation, planning, implementation and review).
You have built and operated large-scale data pipelines using Spark or PySpark.
You are comfortable writing SQL to query and analyse large datasets.
You have working knowledge of cloud infrastructure and container orchestration, ideally Azure and Kubernetes, and are happy to own deployment, monitoring, and observability of your services.
You enjoy taking ownership of new services and seeing them through end to end.
Experience with geospatial data processing, road-network data or routing engines (e.g. OpenStreetMap, TomTom, HERE or Overture data, PostGIS, navigation APIs) would be a strong advantage.
Experience with Bazel or monorepo build systems is desirable but not mandatory.
Experience with workflow orchestration tools such as Flyte or Airflow would be a bonus.
🌱 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: Python Programming (60 mins) and Hiring Manager interview (45 mins)
Deep-dive technical interviews: Systems Design (60 mins) and Domain interview (60 mins)
Final interview: Mission and Values Alignment (45 mins).
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.
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.
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 Application Engineering Team(s)
We’re seeking an exceptional Customer Integration 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.
🧠 Your day-to-day
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.
🧩 What you’ll be working on
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
🙌 You should apply if
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
🌱 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 [Integration Competency, 60mins]
Deep-dive technical interviews [Vehicle Integration, 60mins, Automotive, 60mins]
Final interview: [Mission & Values alignment, 30mins].
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.
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.
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.
Our Legal team helps Wayve navigate the regulatory and commercial challenges of bringing embodied AI into real-world deployment. As our Regulatory Counsel in Japan, you’ll provide dedicated local legal support as we prepare for robotaxi deployment in Tokyo and progress our licence applications.
You’ll work closely with our Policy and local operational teams. This is an opportunity to make a direct impact on how Wayve engages with Japanese regulators, manages operational legal risk and supports its partnerships in Japan.
🧠 Your day-to-day
Provide practical, commercially minded regulatory advice to our Japan team, translating complex legal requirements into clear recommendations.
Lead local engagement with the Tokyo Metropolitan Police Department and other regulators, representing Wayve’s position on regulatory and compliance matters.
Own the legal aspects of incident reporting, assist with police reports, and translate and interpret Japanese-language documents and outputs.
Partner with our Policy team on local relationship-building and provide on-the-ground legal support in Japan’s time zone.
Advise on Japanese corporate and commercial matters as needed, alongside your regulatory responsibilities.
🧩 What you’ll be working on
Supporting the regulatory pathway for Wayve’s robotaxi deployment in Tokyo, including our licence applications in Japan.
Developing clear, practical approaches to incident reporting and police engagement that support responsible deployment and protect Wayve’s legal position.
Helping the local team understand and navigate Japanese regulatory requirements and ways of working.
Providing Japanese legal and regulatory support for the Nissan–Wayve and Wayve–Uber relationships, including local liaison where needed.
🙌 You should apply if
You’re a Japan-qualified lawyer with around five years of relevant experience and a strong regulatory background in a regulated sector. We assess relevant experience flexibly; specialist autonomous vehicle experience is not essential.
You’re fluent in Japanese and English for legal and business communication, comfortable with Japanese business etiquette, and able to interpret Japanese legal and operational documents accurately.
You can represent Wayve confidently in police, regulatory and partner discussions, and communicate complex legal issues clearly to colleagues across the business.
You bring sound commercial judgement and offer practical, business-oriented advice rather than simply explaining the law.
You have strong legal analysis, drafting, communication and stakeholder management skills.
You’re proactive, comfortable working independently and able to prioritise multiple workstreams in a fast-moving environment.
You enjoy partnering with cross-functional teams at the intersection of technology, regulation and commercial innovation.
It would also be helpful if you have:
In-house legal experience or a law firm secondment into a business.
Corporate and commercial legal experience.
Experience in automotive / OEMs, mobility or another regulated sector, such as finance, technology or online safety.
Familiarity with autonomous vehicle, AI or product safety regulatory frameworks.
Experience engaging directly with regulators, policymakers or industry bodies.
🌱 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 [Hiring manager and functional interviews; 2 interviews, 2 hours total]
Deep-dive interviews [Cross-functional interview and case-study presentation; 2 interviews, 2 hours mins 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
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination.\nThe Company has zero tolerance for sexual harassment against job applicants or similar individuals.\n\n- All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.\n\n- Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.\n\n- Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.\n\nIf you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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: enabling data exchange with partners, surfacing AI insights and supporting the commercial deployment of our AI Driver in vehicles around the globe.
As a Senior Software Engineer, Data, you’ll join a small, high-autonomy team building Wayve’s Data Transfer Hub—mission-critical infrastructure designed to transfer petabytes of sensor data per day from global partners. Working with partners such as Uber, Stellantis and Nissan, you’ll help build the data foundations that make AI model training possible at scale.
Build and operate large-scale pipelines that transfer video, LiDAR and other sensor data from global partners.
Shape the technical design of the Data Transfer Hub, making pragmatic trade-offs across user experience, reliability, throughput, cost, partner constraints, observability and operational support.
Write pipeline logic primarily in Python and manage infrastructure as code with Terraform.
Work closely with product, commercial and partner-facing teams to understand constraints and solve real customer and partner problems.
Take ownership of production systems, maintaining high engineering standards as requirements and partner delivery timelines evolve.
Once the service is established, participate in an out-of-hours on-call and support rotation.
A globally distributed Data Transfer Hub: implement and evolve a hub-and-spoke model for retrieving and sharing sensor data with partners at up to petabyte-per-day scale.
Parallelised, distributed transfer pipelines: use Flyte for workflow orchestration, Kafka and event-driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure.
Reliable, observable operations: build retry strategies, backfills, data integrity checks, lifecycle and state tracking, dashboards and alerting.
Cloud-to-cloud and cross-cloud connectivity: develop networking and large-scale file-transfer solutions, with Azure as the primary cloud platform.
Performance and efficiency at scale: improve throughput, reliability and cost efficiency while accommodating different partner environments and constraints.
You’ve built and operated large-scale data transfer, ingestion or processing pipelines, ideally at multi-terabyte or petabyte scale.
You have strong software engineering skills and experience delivering and maintaining production systems.
You’re proficient in Python and Terraform.
You’ve used workflow orchestration to run parallelised jobs. Flyte is preferred, but experience with Airflow, Prefect or similar tools is also relevant.
You know how to build reliable, observable data systems, including retries, backfills, integrity checks, lifecycle and state tracking, and operational alerting.
You have strong cloud platform skills, ideally with Azure, and experience with object or blob storage, large-scale file movement, networking or cloud-to-cloud transfers.
You bring a product mindset: you focus on customer needs and build solutions that address real problems, rather than simply implementing requirements.
You’re comfortable with evolving requirements and take ownership of outcomes, communicate clearly and help your team move quickly.
It’s a bonus if you also have:
Experience working with external data partners or building customer-facing technical integrations.
A background in autonomous vehicles, robotics, geospatial data, video processing or another data-intensive domain.
Experience with Kafka or other event-driven systems for transfer observability and lifecycle tracking, or dashboards that communicate transfer job status.
Multi-cloud experience across Azure, AWS and/or GCP.
Experience improving the cost efficiency, throughput or reliability of large-scale cloud data systems.
🌱 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.
🚀 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+ 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.
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.
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 minutes).
Competency interviews (programming and hiring manager interview; 2 hours total).
Deep-dive technical interviews (programming, systems and domain-specific interviews; 3 hours total).
Final interview: mission and values alignment (1 hour).
We’ll always explain the format and work around your availability.
💰 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.
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.
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 Embedded Automotive Platforms team builds portable, production-grade core libraries and standardized APIs at the boundary between our autonomy stack and real vehicle platforms. Its work enables Wayve software to run reliably across automotive reference platforms and runtime environments, including NVIDIA DRIVE Orin on Linux/QNX and Qualcomm platforms.
As Engineering Manager, EAP, you’ll lead and grow a US-based team responsible for foundational software used across real-world experiments and customer programmes. This is a hands-on management role: approximately 40% coding and design, and 60% leadership, coaching, and delivery through the team.
🧠 Your day-to-day
Lead, recruit, and grow an embedded-software team in the US.
Coach engineers, support career development, and set a high bar for engineering quality.
Own the team roadmap, turning milestones into clear objectives and delivery plans.
Align priorities with cross-functional stakeholders and maintain accountability for schedule and quality.
Stay hands-on through architecture, design, code review, and implementation of critical components.
Communicate progress, risks, and technical trade-offs across teams and time zones.
🧩 What you’ll be working on:
Portable core libraries and SDK-style APIs for deploying Wayve autonomy software to vehicle compute.
Reference-platform adaptation across Linux, QNX, NVIDIA, Qualcomm, and other automotive environments.
Production-grade platform abstractions that reduce bespoke integration work.
Safety- and quality-conscious delivery, including FuSA-certified core libraries where applicable.
Technical and organisational foundations that allow the EAP team to scale.
Reliable software components used by internal teams, OEM programmes, and external partners.
🙌 You should apply if:
You have experience managing and developing software engineers while owning delivery from planning through quality.
You have a strong embedded-systems engineering background and can remain hands-on in C++, C, or Rust.
You have led embedded platform, core-library, or similar foundational software work.
You have experience in automotive or another safety- and quality-conscious industry.
You understand disciplined development practices such as ASPICE, MISRA, ISO 26262, or comparable frameworks.
You communicate clearly and can align stakeholders across functions and locations.
Experience with Linux, QNX, build systems, AUTOSAR Adaptive, middleware/IPC, NVIDIA DRIVE, Qualcomm automotive platforms, or third-party platform delivery would be valuable.
🌱 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 recruiter screen — 25 minutes
Competency interviews — hiring-manager/leadership and domain interviews (2 hours)
Deep-dive interviews — programming, software design, and technical leadership (3 hours)
Final interview — executive and mission/values alignment (1 hour)
We’ll always explain the format and work around your availability.
What’s in it for you (Location dependent):
💰 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.
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.
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 Marketing Team
Wayve is looking for its first Head of Marketing to define and lead the global marketing strategy for our AI Driver technology. You’ll turn 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, you’ll lead product marketing, brand strategy, partner co-marketing, digital marketing, the website, content, events and conferences. You’ll initially manage a team of approximately four spanning product marketing, digital, marketing operations, design and web, while working closely with the Head of Communications and leaders across Product, Commercial, Policy and Partnerships.
🧠 Your day-to-day
You’ll define Wayve’s global marketing strategy across AI Driver, Robotaxi, automotive/OEM and safety audiences, connecting business priorities to clear audiences, positioning, programs and measurable outcomes.
You’ll operate as both a senior marketing leader and a hands-on practitioner—setting strategy and developing your team while personally shaping positioning, challenging briefs and improving execution. You’ll bring together product, brand, digital, content, events and partner marketing into an integrated approach that strengthens Wayve’s position and supports commercial adoption.
🧩 What you’ll be working on:
Defining Wayve’s marketing strategy across AI Driver, Robotaxi, automotive/OEM and safety audiences, connecting business priorities to clear audiences, positioning, programs and measurable outcomes.
Owning product positioning and messaging, translating complex AI and autonomous-driving technology into differentiated, technically credible and commercially relevant narratives.
Building trust in Wayve’s technology through evidence-led content, demonstrations, customer stories and integrated campaigns.
Establishing Wayve’s brand strategy and ensuring it is consistently applied across campaigns, digital channels, experiences and partnerships.
Leading partner co-marketing with automakers, mobility platforms and technology partners, developing shared narratives, launch plans and campaigns that advance both parties’ objectives while maintaining Wayve’s distinct positioning.
Owning digital marketing strategy, the website and content engine, using data to improve reach, engagement and conversion.
Setting the strategy for conferences and experiential marketing, ensuring investment supports clear company and commercial objectives.
Building 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.
Leading, coaching and developing the marketing team, establishing clear priorities, ownership and decision rights while remaining accountable for delivery quality.
Creating transparent operating plans, budgets, KPIs and reporting that give leadership clear visibility into progress, risks and results.
Working across Product, Commercial, Partnerships, Policy, Communications and regional teams to secure alignment and deliver cohesive programs.
Remaining hands-on in a fast-moving environment, personally shaping positioning, challenging briefs and improving strategy.
🙌 You should apply if:
You have senior marketing leadership experience in a complex, trust-sensitive category such as autonomous technology, enterprise technology, AI, platform businesses or fintech.
You bring strong product-marketing and narrative-strategy capabilities, with evidence of translating highly technical products for commercial partners and consumers.
You have demonstrated experience building a category and brand across integrated channels, ideally while operating with constrained budgets.
You have successfully delivered partner co-marketing with major global organizations while protecting a clear standalone brand position.
You bring strong digital, website, content and integrated-campaign capabilities supported by meaningful measurement.
You take a commercially minded approach, connecting customer needs, routes to market and partnerships with adoption and business growth.
You have hands-on scale-up leadership experience and can set strategy, manage senior stakeholders, coach a small team and drive execution through ambiguity.
You demonstrate sound judgment, strong executive communication and the ability to make clear decisions and constructive recommendations.
You bring a collaborative, low-ego leadership style and can work effectively alongside Communications and senior technical and commercial stakeholders.
Experience in autonomous vehicles, mobility, automotive technology or another platform or ingredient-brand business is a plus.
Experience building a challenger brand against larger, better-funded competitors is a plus.
Experience marketing internationally across B2B, partner and consumer audiences is a plus.
Experience developing marketing organizations, operating models and teams during rapid growth is a plus.
🌱 Not ticking every box? That’s totally okay! We understand that everyone brings a unique combination of skills and experience. If you’re passionate about self-driving cars and believe you can make a positive impact, 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:
This is a full-time role based in our London office.
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 and workshops with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 mins)
Competency interviews (Hiring Manager and Team Interviews) (1.5 hrs)
Deep-dive interviews (Presentation) (60 mins)
Final interview (60 mins)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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.
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.
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 Technical Operations Team
Our Technical Operations function acts as the critical bridge between Science, Product, Engineering, and Operations. The team is responsible for translating complex technical strategies into actionable field operations and driving the transformation from R&D-focused activities to seamless commercial delivery. We lead testing and demonstration programs across global operations, ensuring reliable feedback loops between field and development teams to accelerate Wayve’s evolution into a world-class, delivery-grade AV organization.
🧠 Your day-to-day
Serve as the key bridge between Science, Product, Engineering, and Operations, ensuring the alignment of technical programs and on-road activities.
Lead testing and demonstration programs across global operations, including roadshow campaigns, customer programs, and on-road validation activities.
Coordinate structured feedback between field operations and development teams, supporting faster iteration and technical advancement.
Convert high-level strategies into clear action plans for on-road testing, working closely with Fleet Operations to maintain schedules, safety, and feasibility.
Collaborate with Systems and Enablement teams to leverage fleet metrics for continuous process improvement and operational refinement.
Foster innovation in field testing, proactively exploring new experimental methods and supporting a culture of curiosity and experimentation.
🧩 What you’ll be working on
Technical and Operations Enablement: Converting program plans into actionable on-road operations in partnership with Fleet Operations leadership.
Testing and Validation: Coordinating and leading execution of internal and external programs, ensuring the highest safety standards and capturing mission-critical feedback.
Cross-Functional Alignment: Acting as the connective tissue between development teams and field operations, enabling structured, two-way feedback loops.
Operational Readiness: Ensuring consistent experiment design, vehicle availability, and process quality across all testing programs.
Continuous Improvement: Partnering to utilize fleet data and systems for process refinement and quantifiable gains in operational performance.
Innovation in Testing & Evaluation: Driving new experimental methodologies and supporting the discovery of novel operational insights.
Technical Collaboration: Building strong partnerships with model development teams to maximize the value of data, tests, and operational feedback.
🙌 You should apply if
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 requiring tight coordination between technical development and operational teams.
Deep experience with test planning, operational readiness frameworks, and structured field-to-development feedback loops.
Strong facilitation and stakeholder management skills, leading cross-functional workshops and coordinating between technical and operational teams.
Proven ability to influence across remote and international teams in fast-paced technology environments.
Excellent written, verbal, and visual communication skills, with experience preparing technical documentation, SOPs, and stakeholder presentations.
Ability to travel internationally up to 30% of the time to support cross-region testing and coordination.
Strong problem-solving skills and comfort working in rapidly evolving, ambiguous environments.
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 distributed, global teams with complex technical dependencies.
Data analysis and performance tracking skills; able to work with dashboards and quantify operational improvements.
Comfortable with project management tools (Confluence, Asana, Jira, or equivalents) and implementing operational tracking systems.
Background in process improvement (Lean, Six Sigma) or operational excellence frameworks.
Familiarity with vehicle commissioning, fleet management, or automotive safety protocols.
🌱 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: Focus on ability to be a key contributor across technical and operations programs.; 2 hours total
Deep-dive Technical Case Study Interviews: Deep dive and showcase ability to manage complex initiatives that considers technical and operational stakeholders; 1 hour 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
Location & Salary:
This is a full-time role based in Sunnyvale, CA (hybrid). The reasonably estimated salary for this role ranges from $175,000 to $220,000, plus a competitive equity package. Actual compensation will depend 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.
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.
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 AI Platform Team
Our AI Platform teams build the foundations that enable Wayve’s machine learning engineers and researchers to train, evaluate and deploy models at scale. Within the AI Libraries team, you’ll create high-quality platforms, tools and reusable abstractions that support thousands of GPUs and help accelerate the development of our autonomous-driving technology.
🧠 Your day-to-day
You’ll work closely with machine learning teams to understand their workflows and turn complex requirements into stable, scalable and intuitive software. You’ll spend much of your time designing and writing Python, leading projects from discovery through delivery, improving engineering standards and supporting users as they push the scale and performance of their models.
🧩 What you’ll be working on
You’ll build modular libraries for areas such as multimodal data loading, distributed training and inference, checkpointing and observability. You’ll improve the reliability, performance and developer experience of systems used across Wayve, helping teams train models efficiently on large GPU clusters and work with camera, radar, lidar and other data sources.
🙌 You should apply if
You have extensive Python experience and a track record of designing, delivering and maintaining high-quality software systems at scale. You understand software architecture, testing and observability, and have experience with concurrent, parallel or distributed computing. Familiarity with ML frameworks such as PyTorch or TensorFlow and cloud environments—ideally Azure—is highly valuable. This is a software and platform engineering role rather than an ML modelling position.
🌱 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:
Recruiter screen
Competency Interviews
Deep-dive technical interviews
Final interview
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.
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.
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
The Driving Core team develops the learning methods that turn diverse driving data into robust closed-loop behavior. You'll 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.
The Core Model Safety team develops the core model competencies that enable safe, driverless operation. In this team, you'll lead the technical direction and delivery of a learned emergency trajectory model for low-frequency, high-consequence manoeuvres such as evasive steering and emergency braking, taking the programme from problem definition through modelling, evaluation, integration, and evidence for deployment.
🧠 Your day-to-day
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'll 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.
🧩 What you’ll be working on
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.
🙌 You should apply if
Essential
You have a strong track record developing and experimentally validating reinforcement learning or closely related sequential decision-making methods on complex, high-dimensional problems.
You have a 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.
You have hands-on experience with behaviour cloning, reinforcement learning, or related methods.
You're proficient in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable machine learning training and evaluation systems.
You have excellent experimental judgement: able to turn an ambiguous behavioral problem into falsifiable hypotheses, useful metrics, disciplined ablations, and clear technical decisions.
You bring 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.
🌱 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 [hiring manager interview and applied ML interview; 2 hours total]
Deep-dive technical interviews [programming, systems design & PyTorch debugging / technical leadership interviews; 3 hours total]
Final interview: mission & values alignment [Director or VP interview; 45 minutes].
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.
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.
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 SRE Engineering Teams
Our SRE teams build the software that brings Wayve’s autonomous-driving technology onto real vehicles. Their work connects onboard compute, sensors, networking ,fleet operations and requires systems that can be deployed, monitored and recovered reliably as we expand across vehicle platforms and markets.
🧠 Your day-to-day
Interview, onboard and coach engineers, setting clear expectations and supporting their performance and career growth.
Work with engineering managers and technical leads to review reliability risks, agree on ownership and prioritize the team’s work.
Stay hands-on by designing solutions, writing production code and reviewing critical changes alongside your team.
Lead technical investigations and incident reviews, turning findings into concrete fixes and follow-up work.
Coordinate focused projects with Vehicle Software teams, helping them improve reliability while retaining ownership of their systems.
Review reliability metrics and roadmap progress, adjusting priorities to reflect product milestones, fleet needs and operational risk.
Communicate technical decisions, trade-offs and results to engineering and company leaders.
🧩 What you’ll be working on
Building the Vehicle Software SRE team from the ground up, including its charter, team structure, hiring plan, operating model and technical strategy.
Reliability foundations for onboard software and the workflows that deploy, configure, start, monitor and recover it across vehicle platforms and markets.
Service-level indicators and objectives, error budgets and production-readiness standards that give teams clear measures of system health and release readiness.
Observability, health signals and diagnostic tools that help engineers understand failures across onboard compute, sensors, networking and vehicle data.
Safer deployment and recovery through automated validation, release gates, smoke tests, rollback mechanisms and resilience testing.
Incident-response workflows, runbooks, escalation paths and sustainable on-call practices that reduce repeat failures and speed up recovery.
Automation and self-service tools that reduce manual operational work and help vehicle operations scale.
🙌 You should apply if
You have 3+ years of engineering-management experience, with direct responsibility for hiring, performance management, coaching and career development.
You have 8+ years of experience building or operating complex production software, with depth in SRE, production engineering, platform engineering, embedded systems or a related field.
You have built or substantially reshaped an engineering team or capability, setting technical direction across teams, clarifying ownership and aligning partners around difficult trade-offs to deliver measurable results.
You still write production-quality code, design systems and lead substantive code reviews. You have a strong technical judgment across Linux and distributed systems.
You have applied SLOs, error budgets, observability, incident management and release-safety practices to deliver measurable improvements—not just restore service when something breaks.
You build an inclusive team culture with clear accountability, thoughtful feedback and blameless learning from incidents.
You have a degree in Computer Science, Engineering or a related field, or equivalent practical experience.
Bonus points if you have experience with autonomous vehicles, robotics, automotive or other safety-critical systems.
🌱 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: Hiring Manager Screen (1 hour).
Deep-dive technical interviews: Programming, Technical Leadership, System Design (3 hours in 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.
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.
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
The Search & Indexing team, part of Compute and Data Platform (AI Platform), makes Wayve's multimodal driving data discoverable. We build the indexing infrastructure behind vector and metadata-based retrieval, powering data curation, training set construction and ML research. You'd be the first hire in the team, in our Sunnyvale office.
🧠 Your day-to-day
You'll design, build and operate the search and indexing platform for hundreds of thousands of hours of video and sensor data, with the system scaling beyond 10B vectors. You'll work with the Technical Lead on architecture, own complex components from design through production, and help decide what to build versus buy. Expect to move fast: use off-the-shelf tools and ship an MVP in months, not quarters. You'll work with ML, Data, Evaluation and Platform teams, and support other engineers through code reviews and mentoring.
🧩 What you'll be working on:
Production search and indexing systems at billion-vector scale
Ingestion and indexing pipelines across video, sensor data, embeddings and metadata
Backend services and APIs for vector similarity, semantic retrieval and metadata-filtered search
Evaluating and integrating embedding models, vector databases, ANN libraries and external vendors
Evaluation frameworks measuring retrieval quality, recall, relevance, filtering accuracy, latency, freshness, scalability and cost
Integrating search into training-set construction, data curation and research workflows
👋 You should apply if:
You have 7+ years in backend, infrastructure or ML systems, building production systems
You have hands-on experience with vector databases or ANN technologies such as FAISS, LanceDB or similar
You understand multimodal embeddings and have evaluated search quality across relevance, recall, filtering accuracy and performance
You code strongly in Python or another systems language
You have built search services, APIs, and large-scale ingestion and indexing pipelines
You have delivered 0→1 systems in ambiguous problem spaces
You are comfortable working across infra, ML and data curation
Nice to have:
Large-scale ML pipelines or distributed data infrastructure
Multimodal data, including video, images, sensor data and metadata
Active learning, semantic retrieval or training-data selection workflows
Autonomy, robotics or large-scale data infrastructure
Evaluating technical vendors and working with external providers
🌱 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)
Deep-dive technical interviews [programming, system design & domain-specific interviews; 3 hours total]
Final interview: mission & values alignment [45 mins].
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.
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.
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.
Robotaxi Strategic Partnership Manager
🤝 About our Commercial Partnerships Team
Wayve's Commercial Partnerships team works at the intersection of autonomy, mobility platforms, and automotive OEMs, building the ecosystem that enables the AI Driver to reach customers at scale. The team turns strategic partnerships into real-world deployments by aligning commercial, technical, and operational stakeholders around successful autonomous mobility launches.
🧠 Your day-to-day
As Robotaxi Strategic Partnership Manager, you will lead the day-to-day commercial execution of Wayve's robotaxi partnerships in the US.
You will work closely with ride-hailing platforms, OEM partners, and internal teams across Engineering, Product, Safety, Operations, Policy, and Marketing to move pilots from launch readiness through fleet scale-up.
This role combines strategic partnership management with hands-on execution across technical integration, operational launch, performance management, and long-term scaling.
🧩 What you’ll be working on:
• Drive commercial execution of robotaxi deployments in the US.
• Serve as the primary partnership manager interfacing 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.
🙌 You should apply if:
• You have a strong ownership mindset and a proven track record of driving initiatives from strategy through execution, delivering measurable commercial or operational impact.
• You are commercially rigorous and action-oriented, with experience managing complex external partnerships and accountability for outcomes.
• You thrive in fast-moving, ambiguous environments and bring structure, clarity, and momentum to evolving situations.
• You are a credible cross-functional leader who can align Engineering, Product, Operations, Safety, and Policy teams around shared objectives.
• You have experience managing performance, risk, and competing priorities, using data and structured thinking to proactively resolve issues.
• You balance long-term scaling vision with near-term delivery discipline, particularly in complex or regulated environments.
Nice to have
• 6+ years in strategic partnerships, mobility, autonomy, AI, or technology platforms.
• Experience in highly regulated industries or operational market launches of an innovative product.
🌱 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:
Recruiter screen
Hiring Manager interview
Cross-functional / Competency interviews
Deep Dive interview
Mission & Values interview
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.
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.
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 Vehicle Software organization builds the embedded software foundations that connect our AI Driver to production vehicle hardware.
As a Distinguished Engineer in Vehicle Software, you’ll define the architecture and provide technical leadership for the next generation of Wayve’s vehicle software stack. You’ll work with advanced embedded compute platforms from NVIDIA, Qualcomm and other technology partners, shaping our operating-system and automotive-middleware roadmap to support state-of-the-art AI systems for autonomous driving.
This is a highly senior technical leadership role centered on architecture, hands-on technical judgement and broad influence. You’ll work across internal engineering teams, global automotive manufacturers and silicon partners to turn complex requirements into scalable, production-ready systems.
You’ll establish the technical vision for Wayve’s embedded vehicle software and guide major architectural decisions affecting teams across the organization.
You’ll remain close to the technology—reviewing designs, exploring critical technical problems and helping teams make sound decisions across operating systems, middleware, performance, reliability and hardware integration.
You’ll also represent Wayve in strategic technical discussions with automotive manufacturers, NVIDIA, Qualcomm and other partners. Internally, you’ll mentor senior engineers, influence engineering leadership and help establish the development practices, tools and architectural principles needed to scale.
Defining embedded software architectures for advanced autonomous-driving systems
Shaping the operating-system, middleware and hardware-abstraction roadmap for Wayve’s next-generation autonomy platform
Improving system architecture, performance, reliability and scalability
Evaluating and integrating advanced embedded compute platforms from NVIDIA, Qualcomm and other partners
Collaborating across Vehicle Software, AI, hardware, systems, safety and OEM programme teams
Working directly with automotive customers and external technology partners to deliver production-ready solutions
Representing Wayve in technical discussions with OEM software and hardware architects
Serving as Wayve’s senior technical representative in discussions with silicon partners
Advocating for best-in-class software-development processes, architecture practices and engineering tools
Mentoring senior engineers and helping shape the technical direction of the Vehicle Software organisation
Leading complex, cross-functional technical programmes spanning multiple teams and organisations
You have at least 15 years of professional software-development experience
You are an expert in embedded systems applied to robotics, autonomous systems or similarly complex products
You have successfully delivered complex embedded systems into production at scale
You have strong software-development experience in one or more of C, C++, Python or Rust
You have professional experience with systems-performance analysis, optimisation and tuning
You have led or significantly influenced complex technical programmes involving approximately 100 or more engineers, including contributors outside your direct reporting structure
You can establish technical direction and influence senior engineering and business leadership
You are comfortable working directly with external stakeholders, including automotive manufacturers and technology partners
You can represent Wayve as the primary technical leader in discussions with OEM software, hardware and chipset architects
You can translate complex technical constraints into clear architectural decisions and bring multiple teams with you
The following experience would be useful but is not required:
Automotive software or vehicle-platform development
NVIDIA Drive platforms, including Orin, DriveOS or DriveWorks
Automotive software frameworks such as AUTOSAR
🌱 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.
🚀 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+ 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 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 and more intelligent future of mobility.
This is a full-time role based in our Sunnyvale office.
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 offices and workshops with focused time working remotely.
We also operate core working hours, allowing you to determine the schedule that works best for you and the teams you support. This gives our teams the connection and energy of working together alongside the flexibility to do their best work.
Our process is clear and respectful of your time:
Initial recruiter conversation
Hiring manager conversation
Competency Interviews
Technical interviews
Final interview — mission and values alignment
We’ll explain each format in advance and work around your availability.
Benefits vary by location.
💰 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 opportunities to work hands-on in vehicle workshops and labs
📚 Learning and development budgets, with support for training, conferences and professional growth
🩺 Comprehensive benefits, including health insurance, dental coverage, enhanced maternity and paternity leave, retirement support where applicable, access to therapists, wellbeing partnerships, team socials and more
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 $437,900, 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.
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.
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
The Performance Architecture team is part of Wayve's AI Performance org. We make Wayve's AI workloads faster and more efficient across training and cloud inference, so that performance unlocks new product capability. Our work lets Wayve train larger models faster and run inference more efficiently at scale.
🧠 Your day-to-day
You'll identify, quantify and deliver optimisations across training and cloud inference workloads. You'll profile workloads to find bottlenecks, build optimisations that work across targets rather than one-off fixes, and track the gains with clear benchmarks. You'll work closely with Research and model teams to make performance engineering part of their development cycle, and with platform teams on cloud GPU hardware strategy.
🧩 What you'll be working on
Profiling ML workloads across training and cloud inference to identify bottlenecks, using system and kernel level profilers
Designing and implementing efficiency improvements to maximise MFU, throughput and utilisation, e.g. parallelism, compilation, mixed precision, caching
Building reusable, cross-target optimisations (kernels, data loaders, frameworks such as Triton) rather than one-off, per-workflow fixes
Designing and implementing benchmarking tools to track efficiency gains and catch regressions on priority training and cloud inference workloads
Informing cloud GPU hardware strategy and readiness in partnership with platform teams
Building a culture of performance optimisation with Research and model teams
🙌 You should apply if
You have 10+ years of industry experience driving performance engineering across ML systems, GPU compute infrastructure, distributed platforms or similar
You have optimised large-scale workloads on GPU compute clusters, for training, inference or both
You have written, reported and tracked performance benchmarks in an open and accessible way
You write high quality, well-structured and tested Python code
You have a BS or MS in Machine Learning, Computer Science, Engineering or a related technical discipline, or equivalent experience
Nice to have:
Experience with concurrent, parallel and distributed computing
Experience optimising inference serving systems (e.g. latency, throughput, batching, caching)
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
🌱 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
Deep-dive technical interviews (Programming, System Design, Domain, Technical Leadership)
Final interview: mission & values alignment
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.
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.
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 Field Engineering Team
Our Field Engineering team is an operational backbone for Wayve, providing hands-on technical support for our global fleet operations. The team resolves complex technical issues, supports scaling of cutting-edge autonomous vehicle platforms, and acts as a key link between in-country operations, engineering, and product teams. We are responsible for maintaining the safety, reliability, and operational excellence of our vehicles, ensuring seamless collaboration with internal and external stakeholders.
🧠 Your day-to-day
As a Senior Field Engineer, you will act as a hands-on, senior individual contributor working with significant autonomy on complex and ambiguous problems. You will report directly to the in-country Field Engineering Lead, acting as their key operational enabler and escalation point. Day-to-day, you’ll lead resolution of challenging vehicle software and hardware issues, provide cross-regional escalation support, set technical priorities for your team, and own projects, processes, or systems end-to-end. You’ll be the first responder for high-severity geo-specific faults, champion safety-first decision-making, and maintain close collaboration with Field Engineering and Fleet Service leadership.
🧩 What you’ll be working on
Technical leadership and serving as the escalation point for complex vehicle software and hardware issues within your region and across the US, UK, Germany, and Japan.
Using judgement to decide when to apply established solutions versus when to innovate, seeking guidance from the Field Engineering Lead as needed.
Setting day-to-day technical priorities and mentoring other Field Engineers during complex investigations.
Acting as operational stand-in for the Field Engineering Lead when required, ensuring execution continuity.
Owning projects, processes, or systems from problem definition through delivery and global adoption.
Identifying and driving solutions for recurring fleet issues, operational bottlenecks, or reliability risks.
Driving improvements to tooling, workflows, and operational practices with cross-functional teams.
Acting as liaison between Field Engineering and cross-functional stakeholders during incidents and projects, including leading technical meetings.
Clearly documenting technical learnings to strengthen global field operations and championing continuous improvement.
🙌 You should apply if
Essential:
Advanced technical expertise diagnosing complex vehicle software and hardware issues in fleet, automotive, robotics, or ADAS environments.
Familiarity with software debugging concepts: logs, deployments, configurations, system states, and failure modes.
Proven ability to solve problems independently and make sound technical decisions in ambiguous scenarios.
Experience leading technical initiatives and setting priorities without formal people management responsibility.
Demonstrated end-to-end ownership of projects, processes, or systems.
Strong communication skills and ability to collaborate across teams and global regions.
Deep understanding of safety protocols, incident management, and operational governance.
Experience with vehicle diagnostic tools, monitoring platforms (e.g., Datadog, Mender), and ticketing systems such as JIRA.
Comfortable working in a shift-based, 24/7 global support environment, including weekends and holidays.
Desirable:
Experience supporting or leading on-road testing operations.
Strong understanding of ADAS or autonomous vehicle systems.
Background in collaborating with software engineering teams in fleet or production contexts.
Experience acting as a senior, deputy, or lead-in-practice within technical teams.
🌱 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: Competencies, motivation, communication, practical problem solving; 1 hours total
Deep-dive Technical Interview: Technical depth for diagnosis/triage, structured debugging, safety mindset; 1 hour 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
📚 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
Additional Details:
This is a full-time, shift-based role based in our office in Detroit, with 10–15% travel required.
Shift patterns will include weekends and holidays, aligned 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.
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.
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 Fleet Operations Teams
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.
Location & Shift Expectations
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.
🧠 Your day-to-day
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.
🧩 What you’ll be working on
Leading a team of VSOs to achieve operational goals, maintain safety standards and ensure effective communication with both internal teams and external customers.
Oversee shift operations, enforce protocols, identify issues, and drive continuous improvement in fleet operations.
Engage with the Quality Assurance team to coordinate training and facilitate performance management.
Act as the main point of contact in incident management and ensure proper reporting and documentation.
🙌 You should apply if
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 licence
At least 5 years' driving experience
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.
🌱 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: Hiring manager interview to go over people management, coaching, handling performance/disciplinary issues, communication; 2 hours total
Deep-dive Case Study Presentation: Scenario-based problem solving (incident response, prioritisation, shift planning, stakeholder management); 1 hour 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
📚 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.
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.
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 teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.
The Triage and Detective Engineering teams identify, understand, and help resolve issues across Wayve’s test and on-road fleets. This role scales that work by turning repeated manual investigation into reliable automation, reusable tooling, and measurable workflows.
Observe, document, and measure current Triage and Detective workflows to identify high-value automation opportunities.
Build automation pipelines, triage bots, behavioural classifiers, and workflow tooling.
Partner with Detective Engineers to turn one-off scripts into robust, reusable tools.
Validate automation accuracy, reliability, suggested classifications, and root-cause outputs.
Document each automation’s purpose, operation, expected outputs, and limitations.
Track triage quality and throughput to demonstrate impact and guide the roadmap.
Join regular triage and calibration sessions to stay close to the work being automated.
Business-critical tooling used by Triage Specialists and Detective Engineers every week.
Automation that reduces manual analysis and accelerates issue identification across autonomous-vehicle fleets.
Productised pipelines spanning Python, SQL, Bash, Linux, notebooks, cloud tooling, and issue-management systems.
Cross-functional problems at the intersection of safety, machine learning, software engineering, and operations.
You have 3+ years working with complex technical systems, ideally in robotics or autonomous vehicles.
You are strong in Python, SQL, and Bash or shell scripting and comfortable in remote Linux environments.
You have built or maintained data pipelines, notebooks, or cloud-triggered automation.
You can take an ambiguous manual process, decide what is worth automating, and own delivery end-to-end.
You communicate technical problems clearly and work effectively with both technical and non-technical partners.
Experience with Jira, Confluence, Bitbucket or GitLab, Databricks or Jupyter is valuable; ML classifiers, web tooling, or Azure experience is a plus.
🌱 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.
🚀 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.
Our ambition is to make autonomy universal. Wayve’s mapless and hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution from L2+ through to L4.
This role is based in Sunnyvale and follows Wayve’s hybrid working model. The role requires regular in-office collaboration and may include domestic and international travel, including visits to London.
Initial call / recruiter screen (25 min)
Hiring Manager Screen (30 min)
Technical interviews covering workflow development, system design, and automation/programming
Final interview focused on mission and values alignment (30 min)
We’ll always explain the format and work around your availability.
💰 Salaries benchmarked against the market annually
📈 Meaningful equity
✈️ Relocation support and visa sponsorship where applicable
✅ Hybrid working and access to vehicle workshops and labs
📚 Learning and development support
🩺 Comprehensive location-dependent health, family, retirement, and wellbeing benefits
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.
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.
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 Application Software Teams
Our Application Software team pushes the frontier of model-based autonomous driving, improving core driving performance and developing intelligent features such as personalisation, comfort and collaboration.
As a Machine Learning Engineer, you’ll lead critical initiatives to design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work will span model architecture, data pipelines, evaluation frameworks and real-world deployment.
You’ll work closely with AI Platform, Simulation, Robot Software and Model Release teams to build systems that are performant, adaptable and ready for production, while helping shape the long-term technical direction across Autonomy.
🧠 Your day-to-day
Develop and improve end-to-end driving models, advancing their performance, robustness and generalisation.
Lead technical initiatives in personalised and collaborative driving, including behaviour conditioning, comfort tuning and alignment with user preferences.
Build evaluation pipelines and metrics to assess open-loop and closed-loop driving performance and product readiness.
Curate and mine real-world and synthetic data to improve scenario diversity, coverage and feature-specific development.
Collaborate across engineering teams to integrate models, accelerate iteration and support real-world deployment.
Mentor senior engineers, drive technical alignment and influence architecture, training and deployment decisions.
🧩 What you’ll be working on
End-to-end driving intelligence: Advance the models that underpin assisted and autonomous driving, connecting model development with real-world performance.
Personalisation, comfort and collaboration: Develop ML-driven behaviours that adapt to user preferences and support comfortable, collaborative driving.
Evaluation and product readiness: Create frameworks that measure driving quality, robustness and feature performance in both open-loop and closed-loop settings.
Data-driven model improvement: Use real-world and synthetic data to uncover gaps, broaden scenario coverage and support targeted feature development.
Production-scale learning systems: Shape model architectures, training methodologies and deployment pathways, working across AI Platform, Simulation, Robot Software and Model Release.
Technical leadership: Lead cross-team initiatives and help define the long-term technical direction of our autonomy capabilities.
🙌 You should apply if
You have an extensive, proven track record of shipping deep learning systems to production.
You bring deep expertise in deep learning, particularly sequential models, control, planning or perception.
You’re proficient in Python, experienced with relevant languages such as C++ or CUDA, and confident using ML frameworks, especially PyTorch.
You have a strong foundation in software engineering practices and experience building reliable, maintainable ML systems.
You have worked with real-time systems or robotics, ideally including simulation-in-the-loop or vehicle-in-the-loop components.
You can lead technical initiatives across teams, build alignment and mentor engineers.
It would also be great if you bring:
Experience in autonomous driving, imitation learning or trajectory prediction.
Familiarity with personalisation, human behaviour modelling or driver intent inference.
Experience integrating ML systems into production hardware or multi-agent simulation.
🌱 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:
This is a full-time role based in Sunnyvale, CA, or Detroit, MI, with a hybrid working model.
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 minutes)
Competency Interviews: Python programming and Pytorch debugging (2 hours)
Deep-dive technical interviews System Design, ML (1 hour)
Final interview: mission & values alignment (45 minutes)
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.
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.
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
Our ML performance team optimises inference for edge accelerators and GPUs, so large transformer-based models run efficiently on low-cost, low-power in-vehicle compute. We work closely with model, platform and deployment teams to turn research models into reliable production systems for Wayve's driving product.
🧠 Your day-to-day
This is a hands-on role across ML systems, compilers, runtimes, kernels and embedded deployment. You'll find bottlenecks, implement performance improvements, and work with model developers on performance trade-offs so deployment-aware decisions are made early.
🧩 What you'll be working on
Profiling inference performance across model graphs, compiler/runtime behaviour, kernel execution and memory movement
Implementing and validating optimisations in compilers, runtimes and/or kernels, including fusion, scheduling, quantisation-aware performance and custom kernels
Building benchmarking and regression tests to track performance across models, devices and software releases
Optimising for edge targets such as NVIDIA Orin/Thor and Qualcomm platforms
Contributing to team tooling, documentation and technical discussions around ML performance
🙌 You should apply if
You have experience improving performance in production or production-adjacent systems with latency, memory, bandwidth, power, thermal or cost constraints
You have strong hands-on experience with at least one relevant stack, such as TensorRT, CUDA, Qualcomm QNN, Triton or OpenCL
You are comfortable working from high-level model behaviour down to kernel/runtime-level execution
You have strong software engineering fundamentals, including debugging, profiling, testing and maintainable code
You communicate clearly and work well across ML, systems and deployment teams
Nice to have:
Experience deploying or benchmarking ML models on embedded or edge devices
Familiarity with NVIDIA and/or Qualcomm SoCs and performance tooling
Python and C++ proficiency
Experience supporting other engineers or contributing to technical direction within a small team
🌱 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
HM meeting [30 mins]
Deep-dive technical interviews [kernel optimisation, system design & domain-specific interviews; 3 hours total]
Final interview: mission & values alignment
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.
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.
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
The Data and Orchestration team in London builds the platforms behind Wayve's data engineering, orchestration and inference workflows. Our infrastructure lets partner teams ingest, process and transform high-volume data from external vendors, vehicle fleets and customer programmes, and we make sure those systems are reliable, efficient and easy to use.
🧠 Your day-to-day
You'll help evolve Wayve's data pipeline platform. That means revamping our existing Harness system and building a new DAG-based orchestration system for our fleet's next-generation data volumes. You'll work on infrastructure used across the company, supporting high-priority data runs, batch inference, evaluations and business-critical incident response, and you'll work closely with partner teams to understand what they need from their pipelines.
🧩 What you'll be working on
Designing, building and evolving scalable data pipeline and orchestration infrastructure for Wayve's next-generation autonomous driving data platform
Revamping the existing Harness system and developing a new DAG-based workflow platform
Building tooling and libraries that make data ingestion, processing, inference and evaluation workflows simple, reliable and consistent across teams
Making sure the platform runs hundreds of parallel pipeline steps efficiently, with correct outputs, no conflicts and effective resource prioritisation
Supporting batch inference and performance optimisation workflows, so teams can run evaluations in a cost-effective and scalable way
Improving platform reliability, quality and usability, including incident response workflows aligned to business-defined SLOs
🙌 You should apply if
Essential
Strong software engineering fundamentals and solid Python programming skills, with experience designing, building and maintaining production-grade systems
Experience building or operating DAG-based workflow orchestration and data pipeline systems, using tools such as Airflow, Dagster or Flyte.
Experience with distributed computing frameworks such as Ray or Spark
Experience working with systems at scale, ideally involving distributed systems, large data volumes or high-throughput processing
Experience deploying and operating production workloads on Kubernetes, including troubleshooting issues and managing resources for reliable, scalable data-processing services.
Familiarity with distributed event streaming platforms such as Apache Kafka
Strong understanding of database principles and consistency models—including eventual and strong consistency in distributed systems—with practical familiarity with relational databases and data warehouses such as Postgres and ClickHouse
Strong collaboration skills, with the ability to work closely with platform users and partner teams to translate requirements into scalable technical solutions
Desirable
Experience with machine learning infrastructure, inference systems or ML performance optimisation
Exposure to large-scale batch processing, compute scheduling or resource prioritisation
Experience building shared libraries, developer tooling or internal platforms used across multiple teams
🌱 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
HM Meeting + Domain interview
Deep-dive technical interviews [programming, systems & domain-specific interview; 2 hours total]
Final interview: mission & values alignment
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.
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.
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 Supply Chain Team
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, including prototype development, new product introduction (NPI), and fleet launches.
You’ll serve as the primary Supply Chain lead for your programs, ensuring program deliverables, supplier compliance and seamless coordination across Engineering, Operations, Manufacturing and external partners. You’ll work cross-functionally with Engineering, Planning, Sourcing, Logistics, Finance, Legal and Suppliers, while partnering closely with global upfitters and third-party integration partners across the US, UK and other regions to keep vehicle and program timelines on track.
🧠 Your day-to-day
You’ll own end-to-end material readiness across assigned programs, translating engineering requirements and demand into actionable procurement plans and identifying supply risks early in the product lifecycle.
You’ll operate as the strategic liaison between hardware engineering and procurement, coordinating internal teams, suppliers, upfitters and integration partners to keep builds moving. You’ll combine strategic program ownership with hands-on execution—tracking materials, resolving readiness issues, managing supply chain risk and using KPIs to drive continuous improvement.
🧩 What you’ll be working on:
Acting as the primary Supply Chain lead for assigned programs and internal product builds, including prototypes, NPI and subassemblies.
Owning end-to-end material readiness to support program milestones across R&D, Engineering, Operations and Manufacturing.
Collaborating with Engineering, Planning, Sourcing, Logistics, Finance and Suppliers to align supply chain activities with program timelines.
Acting as the strategic liaison between hardware engineering and procurement teams, including managing demand aggregation.
Translating engineering BOMs and aggregated Technical Program Manager demand into procurement plans.
Identifying long-lead items and critical-path components early in the product lifecycle, tracking material status throughout build phases and proactively escalating gaps and risks.
Collaborating with Supply Chain Team Leads to ensure direct purchasing, indirect purchasing and logistics suppliers meet legal, environmental, regulatory and ethical sourcing requirements, including TISAX and ISO standards.
Partnering with Legal and Compliance to ensure appropriate supplier agreements, NDAs and risk controls are in place.
Developing contingency plans for supply disruptions and actively managing supply chain risks.
Serving as the primary program manager for upfitter and partner relationships, maintaining stakeholder alignment and driving activities against vehicle timelines and quality standards.
Proactively identifying and resolving issues affecting vehicle build readiness while coordinating internal teams and external partners.
Maintaining clear communication cadences with upfitters and stakeholders, tracking milestones and escalating risks as needed.
Defining, tracking and reporting supply chain KPIs, including material availability, total cost savings and inventory cycle count accuracy.
Establishing program-level dashboards and reporting cadences that provide leadership and cross-functional stakeholders with visibility into performance.
Analysing KPI trends to identify root causes of underperformance and drive corrective actions with suppliers and internal teams.
Using KPI insights to continuously improve supply chain processes, reduce waste and increase overall program efficiency.
🙌 You should apply if:
You have 10+ years of progressive experience in supply chain program management, NPI and hardware operations.
You have a strong understanding of BOM management, material planning and procurement processes.
You have demonstrated experience managing cross-functional programs across Engineering, Operations and Supply Chain.
You bring strong analytical, problem-solving and risk-management skills.
You have excellent communication and stakeholder-management capabilities.
You are able to travel internationally as needed.
Experience in the automotive, consumer, hardware or robotics industries is preferred.
Familiarity with supplier compliance frameworks, including TISAX, ISO standards and ethical sourcing requirements, is preferred.
🌱 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:
This is a full-time role based in Sunnyvale, CA (hybrid). The reasonably estimated salary range for this role is $184,200–$240,000, plus a competitive equity package. Actual compensation is based on the candidate’s skills, qualifications and experience.
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 and workshops with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work. We also operate core working hours so you can determine the schedule that works best for you and your team.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 mins)
Competency interviews (Hiring Manager Interview) (45 mins)
Deep-dive interviews (Team and cross-functional interviews) (3 hrs)
Final interview (30 mins)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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.
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.
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
The Japan Fleet Reliability SRE team, part of Vehicle Software, keeps Wayve’s autonomous vehicles safe, available and ready for daily operation in Japan. The team works closely with the separate Field Engineering organisation, Fleet Operations, App SW and the wider Engineering org, and connects Japan’s real-world needs with global Vehicle Software engineering.
🧠 Your day-to-day
As a hands-on Engineering Manager, you’ll lead the Japan Fleet Reliability SRE team, which is responsible for the reliability, safety and availability of our autonomous vehicle fleet. You’ll own your team’s people, roadmap and reliability outcomes, and stay close to incidents, designs, code and vehicle systems, contributing directly when the problem demands it. This is not a coordination-only role. Your impact will be measured by the outcomes of your team and systems, not by a fixed percentage of time spent coding.
🧩 What you’ll be working on:
Building, coaching and retaining a high-performing, inclusive Japan Fleet Reliability SRE team, owning hiring, performance, career development, capacity and sustainable escalation coverage.
Improving safe on-road availability, detection and recovery, repeat-incident rates, software and model rollout reliability, and data workflows, and leading the team to engineer away recurring operational toil through maintainable code, tooling and automation.
Leading high-severity engineering incidents and making sure blameless reviews produce measurable, owned and durable improvements.
Setting technical direction for observability, SLI/SLOs, production readiness, release safety, automation, remote diagnostics and fleet tooling, and taking part in design and code reviews.
Partnering 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.
Representing Japan’s priorities in global roadmaps, and communicating risks and decisions effectively with Japanese OEMs, suppliers, mobility partners and Wayve leaders.
🙌 You should apply if:
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.
🌱 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 (Hiring manager screen ; 1 hours total)
Deep-dive technical interviews (SRE skills assessment, SRE programming, Team Meet ; 3 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
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination.
The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
- All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
- Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
- Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 Fleet Operations Teams
Our Fleet Operations team is responsible for ensuring Wayve’s autonomous vehicle fleet is always safe, reliable, and ready to support all facets of development, testing, and demonstration. Working in close collaboration with engineering, drivers, and operations teams, we play a key role in supporting real-world deployment and hands-on innovation in autonomy.
🧠 Your day-to-day
Perform routine and preventative maintenance: execute scheduled servicing and inspections in accordance with manufacturer and internal guidelines.
Diagnose and repair a wide range of mechanical and electrical faults using OEM documentation and advanced diagnostic equipment.
Ensure vehicle readiness for high-visibility and public-facing demonstrations, maintaining high standards of cleanliness, reliability, and functionality.
Adhere to workshop safety practices and compliance standards, following risk assessments and regulations.
Accurately record faults, repairs, and parts used with digital tools, maintaining up-to-date service logs.
Communicate recurring issues or improvement suggestions to the Fleet Service Manager and Field Engineering teams.
Act as a hands-on fleet expert and proactively engage with drivers to resolve issues and uphold a positive operational experience.
🧩 What you’ll be working on
Routine scheduled servicing and safety inspections on the full range of autonomous fleet vehicles
Diagnosing and resolving automotive faults leveraging modern diagnostic tools
Preparing vehicles for demonstrations, public events, and internal testing requirements
Maintaining strict workshop safety and operational standards
Using computer systems for job tracking, documenting maintenance, and reporting
Providing feedback into ongoing fleet performance and improvement initiatives
🙌 You should apply if
You hold relevant qualifications in automotive servicing, diagnostics, and repairs
You have proven experience as a Vehicle Technician in an automotive servicing or fleet environment
You possess strong diagnostic skills with OEM or third-party equipment
You are familiar with mechanical and bodywork repairs using OEM repair manuals
You are comfortable with computer systems for recording and tracking maintenance tasks (e.g., Word, Excel)
You are comfortable collaborating with engineers, operations staff, and drivers
You have a strong understanding of workshop safety and compliance standards
You have a valid US driving license
Desirable
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
🌱 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.
This is a shift-based, full-time role based in Sunnyvale, CA. The reasonably estimated salary ranges from $90,000 to $100,000, plus competitive equity. Actual compensation is based on skills, qualifications, and experience.
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 (fleet maintenance, technical discussion; 2 hours total)
Deep-dive technical interviews (diagnostics, systems, in-depth skills; 1 hours total)
Final interview: mission & values alignment (45 mins)
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
📚 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.
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.
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 Fleet Operations Teams
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.
🧠 Your day-to-day
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
Design, implement, and regularly update onboarding, technical, safety, compliance, and professional-development programs for Fleet Operations teams
Partner with Fleet Operations leaders and subject-matter experts to assess skills, identify capability gaps, and prioritise training requirements
Deliver engaging instructor-led, virtual, practical, and blended learning experiences for employees with different levels of experience and technical knowledge
Establish consistent training and competency standards while adapting content and delivery to local languages, cultures, regulations, and operational environments
Create structured learning paths, practical assessments, competency frameworks, and certification programs that ensure employees are prepared to perform their roles safely and effectively
Define and monitor measures such as participation, knowledge retention, practical proficiency, time to competency, learner feedback, and operational performance
Use performance data, employee feedback, incident trends, and operational insights to continually improve training content, methods, and outcomes
Develop and manage train-the-trainer programs, supporting local trainers and Fleet Operations leaders to deliver learning consistently and effectively
Use learning technologies to make training accessible, scalable, and engaging, while maintaining accurate records of training, competency, and certification
Work closely with Fleet Operations, Safety, Engineering, People, and other stakeholders to ensure training reflects current technology, processes, risks, and business priorities
Support the introduction of new technologies, vehicles, processes, policies, and programmes through structured training and change-readiness activities
Champion continuous learning, knowledge sharing, and professional development across Fleet Operations
🧩 What you’ll be working on
Developing and delivering onboarding, technical, safety, and professional-development training
Building and maintaining competency frameworks, learning paths, and certification programs
Collaborating cross-functionally to ensure training keeps pace with operational and technological change
Evaluating training effectiveness using participation, performance, and feedback metrics
Running train-the-trainer initiatives and supporting local training delivery
Continuously iterating on training content, standards, and processes, making improvements based on data and feedback
Supporting operational change by creating learning experiences for new tools, vehicles, and systems
🙌 You should apply if
You have a strong track record of developing and implementing comprehensive operational training programs, including training-needs analysis, instructional design, delivery, and evaluation
You have demonstrated leadership experience within a high-velocity, safety-focused fleet, operational, or technical environment
You have experience supporting training across multiple locations, regions, or culturally diverse teams
You have excellent facilitation and communication skills, with the ability to make complex technical and operational information clear and accessible
You have experience creating structured learning paths, practical assessments, competency frameworks, and certification programs
You have strong analytical skills, with the ability to identify capability gaps and evaluate the effectiveness and operational impact of training
You possess strong stakeholder-management skills and can collaborate with Fleet Operations, Safety, Engineering, People, and subject-matter experts
You have excellent time-management and prioritisation skills, with proven ability to respond effectively to changing requirements in a fast-paced environment
You are able to work effectively across US and Japan time zones and travel between operational locations when required
You are available to work on-site five days a week
You have a clean and compliant driving record in accordance with company requirements
You have 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.
🌱 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 (2 hours total)
Deep-dive technical interviews (3 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
📚 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.
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.
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
As a Data Scientist supporting AI Engineers, you will partner with one or more engineering teams to develop actionable insights that guide improvements to the Wayve AI Driver. Through experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety and performance of the Wayve AI Driver.
🧠 Your day-to-day
You will work closely with engineering and cross-functional partners to turn data into clear, practical direction. Your findings will help teams understand performance, validate product requirements and prioritise the opportunities that matter most.
You will be comfortable working asynchronously across time zones, communicating findings clearly and compellingly, and influencing team direction through evidence.
🧩 What you’ll be working on:
Formulating and iterating on the performance metrics that organise our engineering efforts and guide progress towards commercial success.
Designing experiments and targeted off-road measurements to help ensure we deliver customer product requirements while maintaining safety and performance.
Investigating factors in model training and inference that create bottlenecks in functionality and performance.
Identifying, testing and validating hypotheses that can unlock improvements to the Wayve AI Driver.
Summarising, visualising and communicating findings in an accessible way that supports prioritisation and strategy.
🙌 You should apply if:
You have 3+ years of experience in a Data Science role.
You are fluent in querying and building large datasets, including writing production-level SQL for data-transformation pipelines.
You have experience designing robust real-world experiments, such as A/B tests, and critically evaluating test statistics.
You have strong statistical foundations, including selecting appropriate distributions and testing the assumptions behind frequentist statistics.
You are proficient in a statistical scripting language and data science or machine-learning packages, such as Python with pandas, sklearn, statsmodels or scipy, or R with dplyr, caret or stats.
You are skilled at summarising, visualising and communicating findings in an accessible and compelling way.
You have influenced team direction through your findings and bring a bias towards actionable insight that can drive prioritisation and strategy.
You are comfortable working asynchronously across time zones with cross-functional partners.
You are deeply curious about building something new and excited by the opportunity to help define AV2.0 and how we build it.
It would be great if you also have:
Practical machine-learning experience, for example with PyTorch, and a passion for taking research ideas to production.
A track record of promoting statistical rigour and experimental best practices.
Experience with causal inference, econometric techniques or Bayesian methodologies for hypothesis testing.
Experience working with large datasets and distributed computing technologies, such as Spark, Hadoop or other map-reduce tools.
Experience working in a fast-moving technology company or startup.
🌱 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+ 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 (Hiring Manager interview and SQL or Python programming interview) 45/60 min
Deep-dive technical interviews (Quant Domain interview and Causal Inference Case Study) 60 min each
Final leadership interview (30 mins)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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.
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.
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 Operations Enablement Teams
Our Operations Enablement teams design and implement the systems that ensure Wayve’s on-road workforce—Vehicle Safety Operators and their support teams—are trained, certified, and developed to the highest global standards. Spanning the UK, US, Germany, and Japan, this team translates a unified global approach into regionally relevant and compliant operations. We drive excellence and consistency by building the structures that turn real-world insights into impactful and rapid upskilling for all operators, always with a clear focus on safety, readiness, and continuous improvement.
🧠 Your day-to-day
Lead and develop a globally distributed team of Regional Training Leads and Training Coordinators.
Define and continuously improve the global training architecture, including scalable curricula, onboarding pathways, and certification frameworks for all operational roles.
Own and update training strategy and standards across all operational geographies, ensuring local compliance and effective delivery.
Maintain the mechanism for converting operational insights, safety findings, and product changes into rapid training updates.
Establish, monitor, and report on key metrics that prove training effectiveness, readiness, and adherence—using this data to prioritise interventions.
Serve as the final gatekeeper to ensure operators meet all performance and safety thresholds prior to live on-road deployment.
Partner with Operations, Product, and Safety teams to ensure training aligns with business and operational needs.
Manage global certification and compliance record-keeping, ensuring audit-readiness across all regions.
Balance the need for a consistent global standard with regional flexibility to meet regulatory and market contexts.
🧩 What you’ll be working on
Building a global training strategy, standard, and operating model that supports operational excellence.
Designing, deploying, and maintaining curricula, onboarding, and certification frameworks for both on-road and maintenance roles.
Implementing mechanisms for feedback-driven and product-driven training updates.
Establishing and owning the reporting infrastructure for training effectiveness, operator readiness, and compliance.
Developing and coaching your global team to consistently deliver against high standards while adapting to regional needs.
Ensuring operational readiness and safety for new operator cohorts prior to road deployment.
Driving cross-functional alignment with Operations, Product, and Safety stakeholders.
Managing certification and compliance records to rigorous global standards.
🙌 You should apply if
You have significant leadership experience in training, capability development, operations enablement, or workforce readiness—ideally within autonomous systems, mobility, robotics, aviation, defence, logistics, or other safety-critical domains.
You've built and led structured training programmes across multiple sites, regions, or countries.
You have demonstrated success designing scalable onboarding, certification, and recurrent training frameworks for operational roles.
You can translate operational, product, or safety requirements into practical training content, standards, and readiness criteria.
You have a strong track record of data-driven performance and quality improvement.
You thrive working cross-functionally to align training with business needs.
You have experience leading managers or senior individual contributors and setting direction for a globally distributed function.
You're analytical and comfortable working with data pipelines to drive insights, metrics, and reporting.
Desirable:
Experience in autonomous vehicles, transport, robotics, logistics, aviation, or defense.
Familiarity with certification, compliance record-keeping, and audit requirements for regulated or safety-critical environments.
Experience managing both contractors and full-time employees, including through transitions to FTE.
This is a full-time role based in our London or Sunnyvale offices, Monday to Friday, with responsibility for a division that operates seven days a week and occasional on-call duties.
🌱 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 (2 hours total)
Deep-dive technical interviews (3 hours total)
Final interview: mission & values alignment (1 hour total)
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.
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.
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
Our Cloud Infrastructure team builds, operates, and improves the shared cloud platforms that support Wayve’s engineering organisation. We work with engineering teams to create secure, reliable, and scalable infrastructure that meets application needs and supports scalable software delivery.
🧠 Your day-to-day
As a Platform Engineer, you’ll work across cloud foundations, Terraform, Kubernetes, developer environments, observability, and FinOps. This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure and governance, security and FinOps tooling, automation, observability, and platform engineering.
Build and operate secure, scalable cloud environments with consistent governance and standards.
Develop Infrastructure-as-Code, automation, and self-service tooling that make infrastructure provisioning and change safe and repeatable.
Own the lifecycle and governance of Kubernetes clusters, continuously improving how they are provisioned, configured, upgraded, maintained, and recovered.
Operate and improve shared developer environments and observability platforms.
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.
🧩 What you’ll be working on:
Cloud foundations: secure, reliable, and scalable shared infrastructure, with consistent governance and standards.
Terraform, Infrastructure-as-Code, and self-service tooling that help engineering teams provision and change infrastructure safely.
Kubernetes cluster lifecycle and governance, from provisioning and configuration through upgrades, maintenance, and recovery.
Shared developer environments and observability platforms that support engineering productivity and operational visibility.
Security and FinOps tooling, automation, and improvements to infrastructure reliability and operational practices.
🙌 You should apply if:
Essential
Strong troubleshooting, problem-solving, and communication skills.
3 years of experience in DevOps, cloud infrastructure, Kubernetes administratorion, 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.
Container technologies such as Docker or Podman
Linux environments, including distributions like Ubuntu.
Networking, cloud architecture, system reliability, and secure access controls.
Experience with Linux, Git, and shell scripting.
Desirable
Experience with multi-cloud governance, including neocloud environments.
Experience building self-service infrastructure tools, standard provisioning workflows, or reusable platform capabilities.
Experience operating observability platforms for metrics, logs, and traces, using tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.
Experience managing developer environments, such as Coder or comparable remote development platforms.
Experience implementing infrastructure security guardrails in partnership with security teams.
Experience improving platform reliability through incident response, recovery procedures, and reducing operational toil.
Experience with FinOps tools, improving cloud cost efficiency and operational resilience.
🌱 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 (Hiring manager screen on role fit, technical breadth and build / CI/CD ownership; 2 hours total)
Deep-dive technical interviews (programming, system design and a DevOps domain interview ; 3 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.
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.
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 Fleet Operations Teams
Our Fleet Operations team is responsible for ensuring Wayve’s autonomous vehicle fleet is always safe, reliable, and ready to support all facets of development, testing, and demonstration. Working in close collaboration with engineering, drivers, and operations teams, we play a key role in supporting real-world deployment and hands-on innovation in autonomy.
🧠 Your day-to-day
Perform routine and preventative maintenance: execute scheduled servicing and inspections in accordance with manufacturer and internal guidelines.
Diagnose and repair a wide range of mechanical and electrical faults using OEM documentation and advanced diagnostic equipment.
Ensure vehicle readiness for high-visibility and public-facing demonstrations, maintaining high standards of cleanliness, reliability, and functionality.
Adhere to workshop safety practices and compliance standards, following risk assessments and regulations.
Accurately record faults, repairs, and parts used with digital tools, maintaining up-to-date service logs.
Communicate recurring issues or improvement suggestions to the Fleet Service Manager and Field Engineering teams.
Act as a hands-on fleet expert and proactively engage with drivers to resolve issues and uphold a positive operational experience.
🧩 What you’ll be working on
Routine scheduled servicing and safety inspections on the full range of autonomous fleet vehicles
Diagnosing and resolving automotive faults leveraging modern diagnostic tools
Preparing vehicles for demonstrations, public events, and internal testing requirements
Maintaining strict workshop safety and operational standards
Using computer systems for job tracking, documenting maintenance, and reporting
Providing feedback into ongoing fleet performance and improvement initiatives
🙌 You should apply if
You hold relevant qualifications in automotive servicing, diagnostics, and repairs
You have proven experience as a Vehicle Technician in an automotive servicing or fleet environment
You possess strong diagnostic skills with OEM or third-party equipment
You are familiar with mechanical and bodywork repairs using OEM repair manuals
You are comfortable with computer systems for recording and tracking maintenance tasks (e.g., Word, Excel)
You are comfortable collaborating with engineers, operations staff, and drivers
You have a strong understanding of workshop safety and compliance standards
You have a valid US driving license
Desirable
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
🌱 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.
This is a shift-based, full-time role based in Detroit.
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 (fleet maintenance, technical discussion; 2 hours total)
Deep-dive technical interviews (diagnostics, systems, in-depth skills; 1 hour total)
Final interview: mission & values alignment (45 mins)
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
📚 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.
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.
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 operates onboard the vehicle in real time, supported by the application frameworks, middleware, performance capabilities and observability foundations owned by the Runtime Platform team.
This growing function is becoming a dedicated team, and you’ll be the Engineering Manager responsible for leading it. Other onboard components depend on the frameworks, inter-process communication layers, monitoring and performance capabilities your team delivers.
The team’s work is central to scaling Wayve’s AI Driver across new vehicles, OEM programes and other embodiments.
You’ll lead a single team and be accountable for its delivery, engagement, resourcing, roadmap and performance. People leadership will be your first priority: you’ll coach and develop engineers, maintain a healthy and high-performing team, and lead hiring and onboarding as the team grows.
You’ll combine this with strong technical judgement, establishing direction across latency, profiling, real-time scheduling, middleware and observability. Working closely with technical leads and stakeholders, you’ll own the outcomes of the team’s technical decisions and ensure its roadmap supports Wayve’s broader goals.
You’ll also act as the team’s escalation point, proactively identifying and resolving risks, dependencies and delivery challenges.
Leading and developing the team: Run effective one-to-ones, set clear expectations, provide regular high-quality feedback, manage performance and support career development against Wayve’s career framework
Hiring and building the team: Own hiring and onboarding, ensure the right people are in the right roles, and shape the team’s culture and ways of working
Driving execution: Staff committed programmes, align the roadmap with available resources, prioritise effectively and hold the team accountable for delivery, quality and operational reliability
Setting technical direction: Establish a clear, holistic direction and ownership of technology-roadmap milestones in partnership with technical leads and stakeholders
Owning runtime foundations: Guide the team’s work across system design, application frameworks, middleware and IPC, performance optimisation, measurement and observability
Enabling new vehicle platforms: Support additional vehicle platforms through incremental development while minimizing performance degradation
Strengthening quality and iteration: Implement and maintain strong continuous integration, hardware-in-the-loop testing and internal quality gates
Collaborating across Wayve: Partner with Vehicle Software, model development, hardware and OEM programe teams
Unblocking delivery: Cascade the roadmap, surface risks and dependencies early, and act as the team’s point of escalation
You have a strong track record of leading, growing, engaging and retaining a high-performing software or systems team
You have experience hiring, coaching, providing feedback, managing performance and supporting engineers’ career development
You have owned a team roadmap and delivered through others, including planning, prioritisation, resourcing and accountability for quality and operational reliability
You have hands-on experience architecting and delivering embedded software shipped in a physical product to real customers
You understand high-performance, low-latency embedded software developed in C++ and can earn the trust of senior systems engineers without needing to be the team’s top individual contributor
You understand profiling, benchmarking, latency, throughput, memory-bandwidth analysis and real-time scheduling on embedded Linux
You have a strong understanding of middleware used in high-throughput, real-time or robotics systems, including the trade-offs across vendors and platforms
You can establish direction and deliver through influence across multiple stakeholder teams
The following experience would be useful but is not required:
Automotive, robotics or another safety-relevant, real-time domain
QNX, a microkernel architecture or another real-time operating system
Profiling tools such as pprof/gperftools, perf, Nsight or NVLumo
Observability platforms such as OpenTelemetry, Grafana or Datadog
NVIDIA Orin or Thor compute platforms
Qualcomm compute platforms
🌱 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.
🚀 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, generalize 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+ 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 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 and more intelligent future of mobility.
This is a full-time role based in our London office.
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 offices and workshops with focused time working remotely.
We also operate core working hours, allowing you to determine the schedule that works best for you and your team. This gives our teams the connection and energy of working together alongside the flexibility to do their best work.
Our process is clear and respectful of your time:
Initial recruiter conversation
Competency interviews — Leadership & Management and Runtime Platform Domain interviews; approximately two hours in total
Deep-dive interviews — Hiring Manager, Software Systems Design and Code Review interviews; approximately three hours in total
Final interview — mission and values alignment; approximately one hour
We’ll explain each format in advance and work around your availability.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in the process, please let us know.
Benefits vary by location.
💰 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 opportunities to work hands-on in vehicle workshops and labs
📚 Learning and development budgets, with support for training, conferences and professional growth
🩺 Comprehensive benefits, including health insurance, dental coverage, enhanced maternity and paternity leave, retirement or pension support 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.
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.
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 Product Dependability Team
Our Product Dependability team connects Wayve’s embodied AI technology with the demands of real-world automotive products. Working across systems engineering, safety, cybersecurity and data analysis, the team helps translate AI capabilities into dependable vehicle-level behavior and supports integration with our OEM partners.
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. As a Systems Engineer, Robotaxi, you’ll work closely alongside our lead Robotaxi System Architect, translating their reference architecture into clear, implementable functions, requirements, interfaces and verification-ready outputs for the areas you own.
🧠 Your day-to-day
Own systems engineering for defined parts of the Robotaxi architecture, translating use cases, operational concepts and constraints into requirements, interfaces, assumptions and verification-ready specifications.
Work directly with OEMs, Tier 1 suppliers and Robotaxi operators to define system and product boundaries together, leading technical working sessions and design discussions.
Support implementation through technical reviews, bring-up planning, issue triage and design-change impact analysis, escalating cross-domain or cross-program tradeoffs beyond your scope to the lead architect and relevant domain owners.
🧩 What you’ll be working on
Your scope covers how the Robotaxi system works as a safe, scalable driver-out service—from the vehicle, Automated Driving System (ADS) and onboard compute to offboard capabilities and the boundaries between Wayve and our partners.
You’ll apply the Robotaxi reference architecture to real vehicle programs across sensors, compute, ECU topology, vehicle interfaces and degraded-operation behavior. Depending on your defined scope, this could include vehicle/ADS interfaces, Remote Assistance and offboard boundaries, or fleet and cloud integration.
🙌 You should apply if
You have direct, hands-on experience designing, integrating or deploying a Robotaxi or production-intent L4 driver-out system, with systems engineering experience spanning several domains across hardware, embedded software, autonomy, safety, offboard services or operations.
You can turn use cases and operational concepts into functional decomposition, requirements, interfaces, assumptions, trade studies and verification intent, producing artifacts that teams can implement and verify.
You’ve defined system and product boundaries across organizations, working directly with OEMs, Tier 1 suppliers, operators or technology partners while maintaining clear internal ownership.
You bring practical vehicle or robotic-system integration experience and working knowledge of driver-out safety concepts, including redundancy, degraded operation, Minimum Risk Manoeuvre, fail-operational behavior, functional safety, SOTIF and safety-case evidence.
You’re comfortable owning a defined scope within a larger reference architecture, partnering with a lead architect and communicating complex designs clearly through documents, diagrams, requirements and technical reviews.
It would also be great if you bring experience with:
Robotaxi launch readiness and operations, including fleet services, Remote Assistance, teleoperation, depot operations, passenger systems or monitoring.
Automotive E/E architecture, middleware and sensor/compute integration—including CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX or Linux; calibration, synchronization, diagnostics and redundancy.
Requirements and architecture tools such as Jama or MBSE/SysML, applying a reference architecture across multiple platforms, and understanding how AI model capability, generalization, compute headroom and evidence shape product architecture.
🌱 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:
This is a full-time role based in Sunnyvale, CA, with a hybrid working model.
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 min
Hiring Manager Interviews 1 hour
Deep-dive technical interviews 2-3 hours
Final interview: mission & values alignment 30 min
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.
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.
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 Platform Product Teams
Wayve’s development and experimentation vehicle platforms bring software, hardware and operations together to make rapid iteration possible. These platforms enable our teams to run experiments, collect data and deploy new capabilities faster and more reliably.
As a Technical Product Manager, you’ll own the roadmap for these platforms, partnering across engineering, program management and internal teams to translate their needs into scalable capabilities. Where relevant, you’ll also support customer programs, ensuring platform capabilities can be reused rather than rebuilt for each deployment.
This is a hands-on, high-trust role where you’ll make meaningful product tradeoffs, balance competing priorities and help build platforms that accelerate Wayve’s development.
🧠 Your day-to-day
Own and evolve the roadmap for development and experimentation vehicle platform features.
Gather and prioritise requirements across engineering, program management and internal customers, translating them into clear workflows, specifications and measurable success criteria.
Define and track platform product KPIs, maintaining a cohesive view of current capabilities and what’s coming next.
Make product tradeoffs and manage stakeholder expectations across teams with competing priorities.
Coordinate cross-functional execution, helping teams resolve dependencies and deliver complex, interconnected capabilities.
Identify opportunities to improve tooling and processes so teams can debug issues, deploy experiments and access data more efficiently.
🧩 What you’ll be working on
Development and experimentation platforms: Shape the capabilities that enable faster experiments, data collection and deployments across Wayve.
Scalable platform capabilities: Drive reuse across reference vehicles and customer programs, reducing one-off configurations and building for scale.
Developer and operational workflows: Improve the tools and processes that connect software, hardware and operations, reducing friction and time-to-debug.
Platform performance and priorities: Establish meaningful KPIs and use them to guide roadmap decisions, balancing capability, reliability and delivery needs.
Consistent internal and customer experiences: Improve alignment between internal development environments and customer-operated workflows, making capabilities easier to adopt and support.
🙌 You should apply if
You have 5+ years of experience shipping autonomy or autonomous vehicle features end-to-end, from concept through integration, validation and release.
You have 2+ years of hands-on experience with embedded platforms, including direct involvement in architecture, development and validation.
You bring strong systems thinking and can assess how platform changes affect downstream development, data, tooling and operations.
You have a track record of coordinating cross-functional execution across multiple teams to deliver complex, interdependent programs.
You’re a strong stakeholder manager who can influence decisions and challenge respectfully, from engineering teams through to leadership.
You thrive in fast-paced, iterative environments with evolving priorities, bringing momentum and calm without adding unnecessary process.
You’re resourceful, pragmatic and focused on outcomes.
You have a bachelor’s or master’s degree in Engineering, Computer Science or a related field.
It would also be great if you bring:
Experience owning or scaling developer or operations tooling and processes in complex hardware-and-software environments.
Exposure to data feedback loops, data collection and fleet operations in autonomous vehicle contexts.
Experience working with external customers or partner programs, translating their needs into reusable product workflows.
Familiarity with automotive real-time environments, AI compute platforms and sensors.
🌱 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 min
Competency Interviews 1 hour
Deep-dive technical interviews 3 hours
Final interview: 30 min
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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.
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.
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 Data Enrichment Platform Team
Our Enrichment Orchestration team builds the platform that enables Wayve’s teams to deploy, run, evaluate and continually improve machine-learning models. Processing petabytes of driving data across large GPU fleets, the team creates dependable, self-service capabilities that help model engineers understand model performance, improve quality and reduce operational effort and cost.
🧠 Your day-to-day
Design, build and operate backend services, APIs and data-processing workflows for the Data Enrichment Platform.
Develop model-execution workflows, versioned outputs, annotation capabilities and dataset-catalogue features.
Improve the scalability and reliability of systems for large-scale inference, automated evaluation and model monitoring.
Investigate and resolve reliability, performance and cost issues across petabyte-scale data and GPU-backed workloads.
Contribute to designs covering data locality, scheduling, capacity, backpressure, failure recovery and observability.
Collaborate with model engineering, AI Platform, infrastructure, compute, storage and data teams to deliver reusable capabilities.
Write maintainable, tested and observable software while improving documentation, operational tooling and engineering standards.
🧩 What you’ll be working on
A scalable platform for large-scale inference, automated evaluation, model monitoring, active learning and retraining.
Backend services and APIs that allow model engineers to deploy and operate repeatable workflows independently.
Reproducible dataset selection, versioned outputs, annotation workflows and dataset catalogues with clear metadata, provenance and lineage.
Reliable model-execution workflows operating across petabytes of driving data and large GPU fleets.
Monitoring and operational tooling that make platform reliability, throughput, cost and workflow status visible.
The foundations for continuous evaluation, drift detection and automated model-improvement loops across robotics and computer-vision workloads.
🙌 You should apply if
You have strong production software-engineering experience in Python, including building maintainable, tested and observable backend services, APIs or data-processing systems.
You have experience designing, building or operating distributed systems for data-intensive or compute-intensive workloads.
You have delivered reliable software from design through deployment and production operation.
You have good system-design fundamentals and can make sound technical trade-offs within a complex platform.
You are comfortable investigating unfamiliar systems and diagnosing reliability, performance or operational issues.
You communicate clearly, collaborate effectively across teams and can take meaningful ownership of production components.
Experience with Flyte, Airflow, Dagster, Argo, Spark, Databricks, Ray, Kubernetes, GPU infrastructure or ML-platform systems would be an advantage.
You have hands-on experience with robotics, autonomous-vehicle or computer-vision datasets, including sensor data, annotations or model outputs.
You have a practical understanding of 3D geometry for robotics or computer vision, including coordinate frames, rigid transformations, camera calibration and projection of 3D points into images.
You have experience validating sensor data or model outputs, including investigating spatial or temporal misalignment and implementing checks for correctness.
Specific experience with 3D object detection, segmentation, tracking or ego motion would be an advantage. Experience developing or training perception models is not required.
🌱 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 / Talent Partner screen (30 mins)
Competency interviews: Python coding (60 mins), System design (60 mins)
Deep Dive Interview: Hiring Manager interview (45 mins)
Final interview: Mission and values (45 mins)
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.
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.
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 DevOps Teams
Our team builds and operates the infrastructure, tooling, and services that underpin Wayve’s software development lifecycle. We work closely with engineering teams across the organisation to make building, testing, and releasing software faster, more reliable, and easier to scale. As Wayve’s engineering workloads grow, we evolve the CI/CD architecture and developer experience needed to support them.
🧠 Your day-to-day
Build, maintain, and improve CI/CD pipelines across development, testing, and release workflows.
Operate and scale build agents, runners, artifact storage, and supporting services.
Monitor and troubleshoot build and pipeline failures, identifying root causes and implementing long-term improvements.
Partner with software engineers to remove workflow bottlenecks and shorten build and test feedback times.
Develop tooling and automation that makes our engineering systems easier and more reliable to use.
🧩 What you’ll be working on
Improving build speed, reliability, scalability, and reproducibility.
Designing effective approaches to caching, dependency management, and incremental builds.
Strengthening the resilience, security, and observability of our CI/CD infrastructure.
Creating self-service tooling that enables teams to manage and evolve their own pipelines.
Helping shape the future architecture of Wayve’s build and continuous-delivery platforms.
🙌 You should apply if
You have at least three years of experience in DevOps, build engineering, CI/CD, developer infrastructure, or a related engineering role.
You have hands-on experience building and maintaining CI/CD pipelines and automation systems.
You have worked with platforms such as GitHub Actions, GitLab CI, Jenkins, Buildkite, Azure DevOps, or similar.
You understand build concepts such as caching, dependency management, incremental builds, and reproducible builds.
You are confident working with Linux, Git, and shell scripting.
You can develop tools and automation using Python, Bash, Go, or a similar language.
You enjoy solving complex infrastructure problems and working collaboratively with engineering teams.
🌱 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
Competency Interviews
Deep-dive technical interviews
Final interview
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.
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.
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 Fleet Reliability Engineering Teams
Our Fleet Reliability Engineering team helps ensure the systems supporting Wayve’s autonomous vehicle operations are reliable, observable and scalable. Working across vehicle software, backend services, infrastructure, networking and fleet operations, the team tackles complex reliability challenges that span both cloud and vehicle-adjacent environments. You’ll collaborate closely with engineering and operations teams to improve resilience and help keep our vehicles operating safely and efficiently on public roads.
🧠 Your day-to-day
You’ll monitor live system health using logs, metrics, traces, alerts and reliability dashboards, identifying issues before they affect operations. When incidents occur, you’ll investigate them end to end—forming hypotheses, analysing data and driving problems through mitigation to root cause. You’ll participate in the on-call rotation, contribute to post-incident reviews and partner with teams across Wayve to prevent recurring failures.
🧩 What you’ll be working on
You’ll build tools and automation that reduce manual operational work and improve how quickly issues can be detected and resolved. This includes developing meaningful service-level indicators and objectives, improving monitoring and alerting, and creating automated checks and remediation workflows. You’ll also influence system design, turning recurring operational pain points into lasting improvements across software, infrastructure, networking and fleet operations.
🙌 You should apply if
You have hands-on experience in Site Reliability Engineering or a similar role supporting live production systems. You’re a strong programmer in Python, C++ or Rust, with solid Linux fundamentals and experience with cloud platforms, containers and Kubernetes. You understand observability practices and tools such as Datadog, Prometheus, Grafana, OpenTelemetry or Splunk, and can explain concepts including SLIs, SLOs and error budgets. Most importantly, you’re comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments, and you bring a collaborative, detail-oriented approach to incident response and continuous improvement.
🌱 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
Competency Interviews
Deep-dive technical interviews
Final interview:
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.
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.
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 AI Infrastructure Teams
Our AI Infrastructure teams build and operate the platforms that power Wayve’s AI development. Working across AI Platform, Compute & Data Platform, and Cloud Infrastructure, we provide reliable access to large-scale GPU compute, Kubernetes, storage, and deployment systems. As our GPU fleet and data footprint grow rapidly, you’ll help establish the reliability standards, automation, and operating practices needed to support that scale.
🧠 Your day-to-day
You’ll work hands-on with engineers across our infrastructure teams to identify reliability risks and turn recurring operational problems into durable engineering solutions. You’ll improve observability, automation, deployment safety, capacity planning, and incident learning while helping teams adopt effective SLOs and production-readiness practices. You’ll also troubleshoot complex failures spanning compute, networking, storage, and distributed workloads.
🧩 What you’ll be working on
You’ll improve GPU node health detection and automated recovery, strengthen the resilience of distributed AI training, and develop continuous GitOps delivery using platforms such as Argo CD or Flux. You’ll enhance Kubernetes scheduling, autoscaling, policy enforcement, and resource efficiency; build forecasting for GPU and storage capacity; and create reusable self-service capabilities that help platform teams operate reliably at scale.
🙌 You should apply if
You have hands-on experience owning the reliability of large-scale cloud, Kubernetes, or distributed infrastructure and have recently coded, automated, configured, or troubleshot production systems yourself. You’re comfortable working in Python or Go, infrastructure as code, CI/CD or GitOps, and modern observability practices. You understand distributed-systems failure modes across compute, networking, and storage, can demonstrate measurable improvements to reliability, performance, capacity, or cost, and collaborate effectively across teams. Direct experience with GPU, ML-training, or HPC infrastructure is valuable, but strong experience solving comparable large-scale platform challenges is also relevant.
🌱 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
Competency Interviews
Deep-dive technical interviews
Final interview: mission & values alignment
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.
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.
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 AI Enablement team builds the shared platforms that help people across the company use language models and AI agents safely, reliably, and cost-effectively. As an early member of this platform team, you’ll help shape both the technical foundations and the standards for how AI-powered tools are built and operated across Wayve.
🧠 Your day-to-day
You’ll design, build, and operate infrastructure for model access, agent runtimes, and observability. You’ll take projects from initial problem definition through technical design, deployment, and ongoing operation, partnering closely with security, IT, and engineering teams. You’ll also support teams adopting the platform by troubleshooting issues, documenting reusable patterns, and helping people understand what’s possible with the tools available.
🧩 What you’ll be working on
A governed, production-ready access layer for language models, including routing, authentication, cost controls, and auditability.
Secure infrastructure and reusable tooling for running agentic workflows in production.
Observability covering platform usage, cost, reliability, and performance.
Governance and safety controls that make AI use secure, compliant, and auditable.
Shared primitives, standards, and best practices that enable teams to build and deploy agents without creating one-off infrastructure.
Reliable, scalable deployments using cloud infrastructure, Kubernetes, and infrastructure-as-code.
🙌 You should apply if
You have strong software engineering experience building APIs, services, or developer tooling.
You’ve built or operated platforms and infrastructure used by other engineering teams.
You have hands-on experience with cloud infrastructure, Kubernetes, and infrastructure-as-code.
You’re familiar with LLM APIs and the surrounding ecosystem, such as model gateways, agent frameworks, MCP, or RAG.
You understand production observability, including metrics, tracing, and logging.
You take a security-conscious approach to authentication, authorization, governance, and auditability.
You’re comfortable taking ownership in an ambiguous, fast-moving environment and can communicate clearly through documentation and collaboration.
🌱 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:
Recruiter screen
Competency Interviews
Deep-dive technical interviews
Final interview: mission & values alignment
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.
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.
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.
Our Application Software Engineering teams bring Wayve’s core AI and autonomous driving technology into production vehicles. Working at the intersection of AI and autonomy, vehicle engineering and our automotive partners, the team turns advances in our core technology into safe, reliable, production-ready driving capabilities across different vehicles, platforms and markets.
As Director of Application Software, US, you will lead and grow the US engineering organisation responsible for this work, building a strong technical bridge between Wayve’s core engineering teams and our OEM customers.
You will lead the engineering organisation responsible for applying Wayve’s AI Driver to customer vehicle programmes, from technical definition through integration, validation, release and production. You will work closely with our AI, autonomy, vehicle, product, safety and validation teams, while partnering directly with senior engineering leaders at our automotive customers.
This is a highly collaborative technical leadership role. You do not need to be the specialist in every part of the technology stack, but you will need the technical judgement to connect AI and autonomy with vehicle systems, make thoughtful engineering trade-offs and create an environment where great engineering teams can succeed.
Lead and grow our US Application Software organisation, developing senior engineers, technical leaders and engineering managers.
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 vehicle and customer requirements are 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 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.
Bring insights from customer deployments back into Wayve’s core technology and product teams, helping shape our architecture and global deployment strategy.
You have significant engineering and leadership experience within autonomous driving, ADAS, automotive AI or related vehicle technologies.
You have a strong understanding of autonomous driving and machine learning, including how ML-enabled driving capabilities are developed, integrated, validated and deployed in vehicles.
You have taken new driving features, behaviours or capabilities from development towards production, with meaningful technical ownership across the autonomy or ML and vehicle integration lifecycle.
You have delivered complex software or AI-enabled systems within production automotive programmes and understand vehicle systems, embedded platforms and integration constraints.
You have built and led multidisciplinary engineering teams and developed senior engineers, technical leaders and engineering managers.
You bring strong technical judgement across AI, autonomy and vehicle systems, and can make effective architectural and engineering trade-offs across disciplines.
You can build trusted relationships with OEM customers and senior technical partners while representing engineering priorities clearly and credibly.
Experience with end-to-end learned driving systems, automotive embedded environments such as C++, Linux, QNX or Adaptive AUTOSAR, or automotive safety and security frameworks such as ISO 26262, ISO/SAE 21434, UN R155/156 or A-SPICE would be valuable, but we do not expect one person to be a specialist across every part of the stack.
If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.
🚀 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.
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.
This is a full-time role based in Detroit or Sunnyvale, CA (hybrid).
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 mins)
Hiring manager / leadership conversation
Technical and domain deep-dives covering autonomous driving, AI/ML, vehicle systems and engineering leadership
Cross-functional and customer leadership interview
Final interview: mission & values alignment
We’ll always explain the format and work around your availability.
💰 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.
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.
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 Forensics Team
Wayve’s Forensics team sits within the Model Integration and Release group and works at the heart of autonomous-driving performance improvement. We investigate systemic issues across the full end-to-end AV stack—from hardware and software to AI models—and turn our findings into improvements in vehicle safety and performance.
You’ll collaborate across the business with hardware and software engineers, roboticists, model developers, platform teams, operations, and safety specialists. As part of a newly re-formed team, you’ll also help shape our investigative processes, playbooks, and tooling as Wayve’s technology and global fleet continue to grow.
🧠 Your day-to-day
Lead investigations arising from triage escalations, model alerts, on-road incidents, and ad-hoc requests, driving each problem through to its root cause.
Analyse on-road data, logs, and offline simulations to reproduce issues, identify fleet-wide patterns, and test hypotheses.
Build queries, plots, dashboards, and automated workflows that accelerate investigations and monitor known issues.
Work with the teams that own each system to confirm root causes, validate fixes, and stay engaged through resolution.
Communicate findings clearly to technical and non-technical stakeholders through concise written reports, visualisations, and presentations.
Support release testing and the bring-up of new vehicle platforms when investigative or systems-engineering input is needed.
🧩 What you’ll be working on
Investigating complex issues across a rapidly growing global vehicle fleet and seeing your findings directly improve AV safety and performance.
Identifying systemic problems spanning the robot, software, and AI models across Wayve’s complete autonomous-driving stack.
Using simulation and offline tools to reproduce and debug issues while minimising the need for fleet resources.
Investigating on-road incidents to establish what happened and why, feeding lessons back into engineering teams and Wayve’s wider safety culture.
Supporting the introduction of new vehicle platforms developed with leading OEMs.
Building the processes, playbooks, training, and automation that will define how this growing team operates.
🙌 You should apply if
You have at least three years of experience working with complex systems in robotics, autonomous vehicles, or a comparable engineering environment.
You’re a curious, pragmatic systems thinker who enjoys getting hands-on with ambiguous technical problems and following the evidence to a root cause.
You can investigate across a broad technical stack spanning hardware, software, data, and models.
You have experience designing real-world experiments to prove or disprove hypotheses.
You’re confident using Python for data analysis and can write scripts for a range of analytical use cases, using AI tools where appropriate to work more effectively.
You communicate complex technical findings clearly to both technical and non-technical audiences.
You collaborate effectively across teams and have used your findings to influence technical decisions or wider organisational direction.
You bring a safety-conscious mindset and are comfortable identifying, escalating, and investigating issues with potential safety implications.
Experience with machine-learning models, safety-critical systems, autonomous vehicles, robotics, automotive engineering, or fast-moving technology companies would be particularly valuable, but it isn’t essential.
🌱 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 with Talent Partner.
Competency Interview: 30 mins with Hiring Manager - Background and Systems Interview.
Deep-dive technical interviews: Data Investigation (60mins) / Root Cause (60 mins)
Final interview: Mission & Values Alignment (60mins).
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.
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.
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 Platform Engineering Teams
Our Platform Engineering team builds and operates the cloud infrastructure, automation, and deployment systems that power Wayve’s software development. Working primarily with Azure, the team creates reliable, scalable, and secure platforms that help engineers develop, test, and release software efficiently. You’ll collaborate with teams across Wayve that are advancing embodied AI and autonomous driving.
🧠 Your day-to-day
You’ll build, maintain, and improve cloud infrastructure across development, testing, and production environments. You’ll automate infrastructure provisioning, support CI/CD pipelines, monitor platform performance, and troubleshoot issues affecting reliability or delivery. You’ll also work closely with engineering teams to understand their needs and continuously improve the developer experience.
🧩 What you’ll be working on
Cloud infrastructure and services, primarily within Azure
Infrastructure as Code using tools such as Terraform and Ansible
Cloud-based CI/CD pipelines and deployment systems
Containerised workloads and orchestration platforms
Monitoring, observability, security, and cost optimisation
Incident response, root-cause analysis, and operational automation
🙌 You should apply if
You have 2–5 years of experience in DevOps, cloud infrastructure, platform engineering, or a related role
You have hands-on experience with Azure, AWS, or GCP
You’ve worked with Infrastructure as Code tools such as Terraform or Ansible
You’re familiar with CI/CD systems and cloud-based deployment pipelines
You understand networking, cloud architecture, and system reliability fundamentals
You’re a collaborative problem-solver who enjoys troubleshooting complex systems and reducing manual work through automation
🌱 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 minutes) — motivation, communication, relevant DevOps and CI/CD experience, Wayve fit, and logistics.
• Competency interview (45 minutes) — hiring manager discussion covering role fit, technical breadth, problem-solving, ownership, and collaboration.
• Deep-dive technical interviews (approximately 3 hours total) — programming, system design, and an SDO domain interview covering build systems, CI/CD infrastructure, automation, Linux, Git, scripting, distributed execution, caching, and artifact management.
• Final interview (60 minutes) — conversation with a director focused on Wayve’s mission and values, operating style, stakeholder communication, and long-term potential.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.
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.
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 Simulation Teams
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.
🧠 Your day-to-day
Work hands-on in the shared modern C++ and Python simulation codebase.
Implement scoped features and integrate driving-stack components, simulated robot systems and new vehicle-platform capabilities.
Support and test different simulation configurations, initially with a strong focus on high-scale open-loop evaluation.
Investigate differences between on-road and simulated execution, tracing issues across component interfaces, data flows, timing and configuration.
Improve automated testing, observability, reproducibility, reliability and developer tooling.
Profile simulator workloads and contribute performance and scalability improvements.
Collaborate with Simulation, Robotics, Autonomy, Evaluation, Platform and Data teams to clarify requirements and resolve integration issues.
🧩 What you’ll be working on
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.
🙌 You should apply if
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.
🌱 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 hiring manager interview; 2 hours total)
Deep-dive technical interviews (Programming and domain-specific interviews; 2 hours total)
Final interview: Mission & values alignment (45 mins)..
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.
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.
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 ADAS Team
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
Train, debug, and improve computer vision and 3D perception models, iterating based on clear evaluation signals
Work across the full ML lifecycle: data, training, evaluation, and iteration
Partner with the team to decide what to tackle next, based on where the system is underperforming
Build scalable data pipelines, including auto-labelling and pseudo-labelling, to accelerate model development
🧩 What you'll be working on:
Core ADAS perception capabilities such as detection, classification, and instance segmentation, spanning lanes, objects, traffic signs, and traffic lights
End-to-end approaches that let the model act on the world directly, rather than relying on a chain of hand-coded intermediate steps (lane assist without ever explicitly detecting lane lines is the kind of outcome we're after)
Online perception that runs fast in-car as part of our production stack
Offline perception work using additional inputs not viable for on-road production, including extra sensors like lidar, future frames, maps, and extra compute, to improve data quality and coverage at scale
Building the \"data flywheel\": using offline models and 3D tracking/reconstruction to auto-generate labels and accelerate iteration across perception tasks
👤 You should apply if:
Built and shipped CV-focused deep learning systems, with strong applied ML engineering rather than research-only work
Experience with 3D perception concepts or pipelines, such as LiDAR, multi-view geometry, tracking, or 3D reconstruction
Comfortable owning work end-to-end, including evaluation and large-scale dataset generation
Enjoy pragmatic problem-solving under real product constraints
Excited to improve real-world driving performance through better perception
Automotive domain experience is a bonus, but not a blocker if your perception background comes from elsewhere
🌱 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)
Deep-dive technical interviews (Hiring manager/Domain Interview; 1 hour)
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 dependent):
💰 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 partner discounts 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.
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.
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 Platform Engineering Teams
Our Platform Engineering team builds and operates the cloud infrastructure, automation, and deployment systems that power Wayve’s software development. Working primarily with Azure, the team creates reliable, scalable, and secure platforms that help engineers develop, test, and release software efficiently. You’ll collaborate with teams across Wayve that are advancing embodied AI and autonomous driving.
🧠 Your day-to-day
You’ll build, maintain, and improve cloud infrastructure across development, testing, and production environments. You’ll automate infrastructure provisioning, support CI/CD pipelines, monitor platform performance, and troubleshoot issues affecting reliability or delivery. You’ll also work closely with engineering teams to understand their needs and continuously improve the developer experience.
🧩 What you’ll be working on
Cloud infrastructure and services, primarily within Azure
Infrastructure as Code using tools such as Terraform and Ansible
Cloud-based CI/CD pipelines and deployment systems
Containerised workloads and orchestration platforms
Monitoring, observability, security, and cost optimisation
Incident response, root-cause analysis, and operational automation
🙌 You should apply if
You have 2–5 years of experience in DevOps, cloud infrastructure, platform engineering, or a related role
You have hands-on experience with Azure, AWS, or GCP
You’ve worked with Infrastructure as Code tools such as Terraform or Ansible
You’re familiar with CI/CD systems and cloud-based deployment pipelines
You understand networking, cloud architecture, and system reliability fundamentals
You’re a collaborative problem-solver who enjoys troubleshooting complex systems and reducing manual work through automation
🌱 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 minutes) — motivation, communication, relevant DevOps and CI/CD experience, Wayve fit, and logistics.
• Competency interview (45 minutes) — hiring manager discussion covering role fit, technical breadth, problem-solving, ownership, and collaboration.
• Deep-dive technical interviews (approximately 3 hours total) — programming, system design, and an SDO domain interview covering build systems, CI/CD infrastructure, automation, Linux, Git, scripting, distributed execution, caching, and artifact management.
• Final interview (60 minutes) — conversation with a director focused on Wayve’s mission and values, operating style, stakeholder communication, and long-term potential.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.
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.
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 Vehicle Software Engineering teams build the onboard software and connected services that make our development fleet safe, secure, reliable, and ready for real-world autonomous-driving work. This role sits across Robot Software, Reliability Engineering, Fleet Tools, Onboard Test Automation and the wider Security organization, helping protect everything from boot and operating-system layers through vehicle applications, data offload, and vehicle-to-backend communications.
As a Staff Embedded Security Engineer, you’ll be a hands-on security partner to embedded software teams. You’ll identify risks, guide penetration-testing work, design practical controls, and help engineers make secure architecture decisions throughout development.
🧠 Your day-to-day
Design and develop security controls in real-time embedded firmware and embedded Linux software.
Review code and system designs to identify vulnerabilities and guide remediation.
Contribute to technical requirements, architecture documents, interface definitions, implementation guides, and test plans.
Partner with Wayve’s Security team to assess and address risks across the vehicle fleet.
Build and maintain security tooling, libraries, controls, and instrumentation in Wayve codebases.
Act as a security point of contact for engineering teams and penetration-testing engagements.
🧩 What you’ll be working on
Securing boot, OS, application, and data-offload layers across Wayve’s development fleet.
Hardware-backed security, including HSMs, TrustZone, secure boot, signed updates, and key management.
Secure on-vehicle access and vehicle-to-backend communications.
Security architecture for internet-connected Linux-based embedded devices.
Threat modelling, vulnerability management, code auditing, and security policy implementation.
Robust controls that balance security, reliability, performance, and developer velocity.
🙌 You should apply if
You have a proven record of designing and delivering security systems for connected Linux-based embedded devices.
You have hands-on experience incorporating hardware-backed security into production systems.
You understand cryptography fundamentals and public-key infrastructure.
You have system-level development experience with kernels, bootloaders, or embedded operating systems.
You can work effectively in Python, C++, C, or Go and remain hands-on with code.
You can communicate clear technical recommendations to engineers, non-engineering partners, and leadership.
Experience with Yocto, QNX or another RTOS, containers, secrets management, MISRA, vulnerability management, or security-community contributions would be valuable.
🌱 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 recruiter screen: (25 mins)
Competency Interviews: Hiring manager and technical deep dive interview (2 hours total)
Deep-dive technical interviews: Programming, technical leadership, cross-functional partnerships & domain-specific interviews (4 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 dependent):
💰 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.
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.
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 Robotaxi Teams
The Robotaxi team is building the capabilities that take Wayve's AI Driver from assisted to fully driver-out operation. Remote Assistance sits at the heart of this effort, the real-time bridge between the vehicle's autonomy stack and human operators that lets us safely handle the moments the AI Driver can't resolve alone. This team owns the end-to-end architecture connecting onboard vehicle systems, offboard services, and operator tooling, balancing latency, reliability, and safety at every step.
🧠 Your day-to-day
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\" - covering 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
Set system-level quality bars for safety-critical RA operation - latency budgets, reliability targets, monitoring, replay/evidence, and incident learning loops
Act as the technical interface to engineering leadership and safety stakeholders, shaping how Remote Assistance feeds into Wayve's evolving L4 safety case
🧩 What you'll be working on:
The end-to-end Remote Assistance system onboard vehicle integration, offboard services, and the operator-facing HMI, designed to evolve as one connected system
Low-latency telemetry and video streaming between vehicle and operator, with hard constraints on glass-to-glass latency and data freshness
Fallback and minimal risk manoeuvre (MRM) design — the failure-handling logic that keeps operation safe when things don't go to plan
Decomposing a cross-org architecture into concrete workstreams, some delivered directly and others placed on autonomy, safety, infra, and platform teams' roadmaps
Building Remote Assistance's contribution to Wayve's L4 safety case, working closely with the safety organisation
👤 You should apply if:
You have staff-level experience building and owning real-time, safety-critical systems in AV/robotics, teleoperation, aerospace/avionics, industrial control, medical devices, or a comparable domain
You bring a strong product and customer orientation, and can connect technical performance metrics to rider experience and launch readiness
You've led cross-org technical roadmaps and landed work across multiple teams you didn't directly manage through architecture, alignment, and execution
You have 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
You have strong safety-first engineering instincts, failure-mode thinking, fallback/MRM design, operational constraint enforcement, and evidence-driven decision making
You have direct experience with teleoperation, remote driving, or remote assistance systems, including operator UX and authority boundaries
You're comfortable scaling production systems in ambiguous, fast-moving environments, from prototype through to operational reliability
🌱 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)
Hiring manager chat (30 mins)
Deep-Dive technical interviews (Product sense, domain and system design) (3 hours total)
Final interview: mission & values alignment (45 minutes)
We'll always explain the format and work around your availability.
What's in it for you (Location dependent):
💰 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 partner discounts 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.
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.
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 Simulation Teams
Generative Simulation is the team advancing our end-to-end autonomous driving research, incubating and investing in new ideas that can become game-changing technological advances for Wayve. As a Machine Learning Engineer in the team, you will play a key role in developing next-generation world models and planners, such as GAIA, that can simulate complex, diverse, and temporally consistent driving environments to power faster training, broader testing, and scalable deployment, even in areas and scenarios we have never driven in before. As we push toward the next generation of GAIA, efficiency and interactivity are a major focus: models must run thousands of roll-outs per second, support closed-loop agent interaction, and fit within practical compute budgets. You will work at the intersection of machine learning research, multi-modal modelling, and real-world deployment, tackling questions such as how we can deploy autonomous vehicles in a new geography without collecting any real-world data, and whether synthetically generated environments can fully replace physical testing and data collection.
🧠 Your day-to-day
Setting technical direction: Set technical direction and designing key components of the system.
Deep work / coding: You spend a focused block implementing and debugging new modeling capabilities.
Cross-team collaboration, brainstorming and pairing: you brainstorm ideas with your team mates or pair to solve a difficult problem
Mentorship / async review: You review a teammate’s pull request or experimental design and outcomes and provide feedback
Sync-ups: Share findings with the rest of your team leading to a discussion on designing the next experiments. You align on shared priorities for the week and blockers.
Paper reading/ reading groups: Read one of the latest papers and summarise them for yourself or the team to present in the next reading group if interesting
🧩 What you’ll be working on
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 and 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.
🙌 You should apply if
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.
🌱 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/Pytorch debugging and hiring manager interview; 2 hours total)
Deep-dive technical interviews (Systems & domain-specific interviews; 3 hours total)
Final interview: Mission & values alignment (45 mins).
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.
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.
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 Model Integration and Release Team
Our Model Integration and Release team owns the engineering release process for Wayve’s driving models. When research and engineering teams develop new architectures, features, or data changes, we validate that they meet our quality, safety, and performance standards before they reach customers. The team works across ML engineering, AI Platform, evaluation, and CI/CD to protect the model baseline while continually improving how reliably and efficiently we deliver models.
🧠 Your day-to-day
Define and evolve Wayve’s model development and release processes, including branching strategies, release cadence, configuration management, and quality gates.
Review proposed model, architecture, code, and metric changes to ensure the implementation matches its intended outcome.
Assess evaluation results and determine whether releases meet Wayve’s quality and safety standards.
Identify delivery bottlenecks and work across teams to address their root causes.
Balance speed and rigour, making informed decisions about when to accelerate delivery and when a release needs further validation.
🧩 What you’ll be working on
Release pipelines covering the full ML training and delivery lifecycle.
Automated checks and tooling that identify issues earlier in development.
Reliable evaluation methods for assessing model changes and release readiness.
CI/CD workflows that streamline model integration and delivery.
Monitoring and observability that improve confidence in production releases.
Engineering standards and operational processes that enable teams to deliver high-quality ML systems at scale.
🙌 You should apply if
You have significant software integration and release experience, including branching strategies, release cadences, and configuration management.
You understand ML training, model lifecycles, and the infrastructure required to deliver models reliably.
You can review someone else’s model, architecture, or code changes and challenge decisions that do not align with their stated intent.
You have experience with ML tooling and technologies such as PyTorch, TensorRT, model registries, quantisation, or model deployment.
You are comfortable working with CI/CD systems and GitHub Actions.
You take ownership of ambiguous, cross-team problems and prefer fixing underlying processes rather than repeatedly patching individual releases.
You combine a strong quality mindset with the judgement to recognise when speed genuinely matters.
You communicate clearly and collaborate effectively across research, engineering, platform, evaluation, and product teams.
🌱 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: 30mins with Talent Partner.
Competency Interviews: 30mins with Hiring Manager.
Deep-dive technical interviews: ML Deep Dive, PyTorch Debugging and Tech Leadership; 3 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.
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.
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 Product Architecture and Safety Teams
Our Product Architecture and Safety team brings Wayve’s AI Driver into real-world automotive products, connecting our core autonomous driving technology with the vehicle platforms of our OEM and Tier 1 partners.
As a Solution Architect, you’ll work at the boundary between Wayve’s core AI Driver architecture and customer vehicle systems. You’ll help define how our software integrates with sensors, vehicle signals, middleware and electronic control units (ECUs), accounting for timing, diagnostics, safety assumptions, data logging and validation.
Working across Product, Software Architecture, Hardware, Calibrations, System Safety, Validation and Field Application Engineering, you’ll help deliver safe, efficient and consistent integrations while preserving a scalable core product architecture.
🧠 Your day-to-day
Define and manage the technical architecture for customer vehicle integrations, focusing on the interfaces between Wayve software and OEM or Tier 1 systems.
Partner with Product Management to translate product requirements and customer program needs into clear, actionable technical specifications.
Turn ambiguous customer discussions into explicit ownership boundaries, interface contracts, assumptions, dependencies and open technical decisions.
Work with Software Architects to assess feasibility and align customer integration needs with Wayve’s core architecture.
Coordinate with Validation Engineers to define integration test requirements and ensure requirements are verifiable.
Represent Wayve in OEM and Tier 1 technical discussions, keeping internal teams and external partners aligned on architecture, integration plans and technical risks.
🧩 What you’ll be working on
Software–vehicle interfaces: Define how Wayve’s AI Driver connects with vehicle platforms, including sensors, signals, middleware, ECU constraints, real-time execution, diagnostics and data logging.
Integration boundaries and ownership: Establish what is Wayve-owned, partner-owned, jointly defined or out of scope, making responsibilities and dependencies clear across each customer program.
Scalable customer integrations: Address customer-specific needs without unnecessarily fragmenting Wayve’s core product architecture.
Technical specifications and documentation: Develop interface specifications, integration guides, architecture diagrams, ownership boundary definitions and decision records.
Validation-ready architecture: Translate integration needs and safety assumptions into clear requirements that can be tested and verified.
Program planning and risk management: Identify integration complexity, technical gaps, dependencies, risks and required partner deliverables to support realistic planning and informed decisions.
🙌 You should apply if
You have systems and software architecture experience in ADAS, autonomous driving, embedded software or vehicle systems, particularly at the software–vehicle interface.
You understand vehicle electronics and embedded systems, including ECU integration, real-time execution, timing, diagnostics and automotive technologies such as CAN, Automotive Ethernet, SOME/IP or AUTOSAR.
You’ve worked with automotive OEMs or Tier 1 suppliers, translating customer needs into clear technical specifications, interface contracts, ownership boundaries and validation-ready requirements.
You collaborate effectively across product, software, hardware, safety, validation and customer-facing teams, aligning technical decisions from individual components through to complete vehicle systems.
You’re comfortable owning ambiguous technical problems independently, identifying risks and dependencies, and communicating architectural decisions clearly through documentation, diagrams and technical discussions.
It would also be great if you bring:
A bachelor’s or master’s degree in Computer Science, Electrical Engineering or a related field.
Experience working within an automotive Tier 1 supplier or delivering automotive OEM integration projects.
Knowledge of generative AI, large language models and transformer architectures.
Familiarity with end-to-end approaches to autonomous driving.
Hands-on experience with embedded Linux, QNX, Adaptive AUTOSAR, DDS, SOME/IP or custom automotive middleware.
Experience integrating sensors such as cameras, radar, IMU and GNSS, including calibration, timestamping and synchronisation.
🌱 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:
This is a full-time role based in London, with a hybrid working model.
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 min
Hiring Manager Interview 1 hour
Deep-dive technical interviews 4 hours
Final interview: mission & values alignment 30 min
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.
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.
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 Ingestion Systems Team
Our Ingestion Systems team sits within Wayve’s AI Platform organisation and builds the data foundations behind our self-driving technology. We process vast amounts of real-world driving data so it can be used for annotation, model training and evaluation. Operating at petabyte scale, the team focuses on making these critical data flows reliable, efficient and easy to operate.
🧠 Your day-to-day
Debug and unblock failing ingestion pipelines, stalled jobs and processing queues
Investigate corrupt, malformed or unexpected data from a variety of sources.
Optimise Spark jobs and batch-processing pipelines for throughput, reliability and compute efficiency.
Design and implement more resilient pipelines so individual bad data segments do not block wider workflows.
Improve monitoring, retries and failure recovery across multi-step ingestion workflows.
Help prioritise and unblock important datasets for downstream annotation, data science and model-training teams, and contribute to the technical direction of Wayve's ingestion platform.
🧩 What you’ll be working on
High-volume pipelines that process real-world driving data for annotation, data science, model training and evaluation.
Resilient systems that isolate problematic data rather than allowing a single bad segment to block a wider workflow.
Orchestration across complex dependencies, queues, retries and priority data flows.
Pragmatic improvements to the performance, cost and operability of our Spark-based data platform.
Ingestion of varied data formats from partners, suppliers and other third-party sources.
🙌 You should apply if
You have strong production experience with Apache Spark and Python.
You have built, operated or debugged large-scale ingestion, ETL or distributed data-processing pipelines.
You are comfortable diagnosing production failures involving corrupt data, stalled queues, retries and complex dependencies.
You understand how to optimise high-throughput systems for reliability, performance and cost.
You can learn an existing system quickly, work independently and deliver practical improvements in a fast-moving environment.
Experience with Airflow, Flyte, Databricks, Delta Lake, Scala or Java would be an advantage.
🌱 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 interview Python programming (60 mins), Hiring Manager interview (60 mins)
• Deep-dive technical interview: SQL domain (60 mins), Systems design (60 mins)
• Final interview: Mission and values alignment (45 mins)
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.
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.
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 Infrastructure Teams
Wayve’s Infrastructure Engineering teams build and operate the secure, reliable foundations that enable our engineers and researchers to develop and test Embodied AI at scale. In this role, you’ll be the first infrastructure-focused hire in our Tel Aviv office, working closely with our central networking team in London and our IT and cloud infrastructure teams across the UK, US and Japan.
🧠 Your day-to-day
You’ll take local ownership of Tel Aviv’s network and site infrastructure—from resolving outages and improving performance to supporting office growth and new deployments. You’ll collaborate with global teams to maintain consistent configuration, security and observability standards, while providing pragmatic, hands-on infrastructure and IT support to local colleagues.
🧩 What you’ll be working on
Designing, deploying and maintaining wired and wireless networks, VLANs, VPNs, routing and firewall policies.
Building secure, high-bandwidth and resilient infrastructure for AI development and autonomous vehicle testing.
Improving automation and repeatability through Terraform, Ansible, Python and Bash.
Supporting hybrid connectivity between on-premises infrastructure and cloud environments.
Strengthening monitoring, documentation and incident response across our global sites.
Helping establish scalable infrastructure standards that can be reused as Wayve continues to grow.
🙌 You should apply if
You have 5+ years of experience in infrastructure, networking, DevOps or a related role.
You have strong networking fundamentals across TCP/IP, DHCP, DNS, routing, switching, VPNs and firewalls.
You have hands-on experience with Linux systems administration and enterprise networking platforms such as Juniper, Cisco or MikroTik.
You can automate infrastructure using Bash or Python and tools such as Terraform and Ansible.
You have worked with hybrid on-premises and cloud environments; Azure experience is beneficial.
You understand infrastructure security, including network segmentation, endpoint controls, certificate management and secure access.
You’re comfortable taking ownership, working independently and collaborating clearly with distributed teams across time zones.
🌱 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 minutes
Competency interview — hiring manager interview focused on your experience, approach and role alignment; 1 hour
Deep-dive technical interviews — domain knowledge, infrastructure systems design and network provisioning; 3 hours total
Final interview — mission and 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.
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.
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 Data Quality & Provenance Team
Our Data Quality & Provenance team sits within Wayve’s AI Platform organisation and builds the trusted data foundations behind our self-driving technology. We transform vast volumes of fleet and simulation data into discoverable, reliable and reproducible datasets for model training, evaluation, replay, scenario mining and safety analysis. Operating at petabyte scale, the team defines the data products, standards and systems that enable our engineering teams to use data with confidence.
🧠 Your day-to-day
Design and operate scalable batch and streaming pipelines for multimodal fleet and simulation data.
Build data models, catalogues, indexes and query capabilities that make sensor, vehicle-state, map and event data easy to discover and use.
Create versioned, reproducible datasets for training, evaluation, replay, scenario mining and safety analysis.
Develop workflows for data ingestion, synchronisation, transformation, curation, labelling and quality validation.
Partner with autonomy, ML, simulation and safety engineers to define schemas, APIs and data contracts.
Improve the reliability, performance and cost efficiency of large-scale storage and compute workloads.
🧩 What you’ll be working on
Petabyte-scale data products supporting autonomous-driving development across ML, autonomy, simulation and safety teams.
Trusted datasets with strong versioning, lineage and reproducibility guarantees.
Metadata, geospatial and temporal indexing that enables data discovery, selection and scenario mining.
Systems that combine real-world fleet logs with simulation and synthetic data for closed-loop development.
Data-quality standards, observability, access controls, retention policies and incident-response processes.
Cloud-based storage and distributed-compute infrastructure designed for reliability, scalability and cost efficiency.
🙌 You should apply if
You have strong hands-on Python and SQL skills, supported by solid production software-engineering fundamentals.
You have designed and operated large-scale distributed data systems beyond small analytics or reporting pipelines.
You have production experience with distributed-processing and workflow-orchestration technologies such as Spark, Flyte or Airflow.
You have built cloud-based data platforms using object storage and understand data organisation, versioning, querying, governance and cost management.
You have owned data quality, lineage, observability, reproducibility and incident response for production data workflows.
You can translate ambiguous requirements from ML, data-science, robotics or similarly technical teams into durable, reusable platform capabilities.
You are comfortable working in ambiguity and helping define the standards and operating model for a growing data platform.
Experience with autonomous vehicles, ADAS, robotics, mapping, sensor-rich systems, geospatial data or multimodal datasets would be an advantage.
🌱 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 interview: Python Programming (60 mins) SQL Data Domain (60 mins)
Deep-dive technical interview: Systems Design (60 mins) Hiring manager interview (45 mins)
Final interview: Mission and Values Alignment (45 mins)
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.
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.
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 Fleet Operations Team
Our Fleet Operations Team is responsible for 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. The team keeps our fleet in peak condition to support testing, demonstrations, and real-world deployment, working closely with engineering, drivers, and operations teams to keep autonomy moving forward, every single day.
🧠 Your day-to-day
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.
🧩 What you’ll be working on
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.
🙌 You should apply if
Essential:
You hold a full, clean Japan driving licence, with at least 8 years' driving experience (mainly in Japan), and no blameworthy insurance claims in the past three years.
You remain calm and controlled in a pressured environment.
You take feedback on board and learn from mistakes, with a growth mindset toward your own development.
You enjoy working with people and thrive in a team environment.
You know how to manage your wellbeing, including fatigue and stress, with proven personal strategies.
You have proven experience as a team coordinator or similar role.
You have strong leadership and communication skills — 1:1, with your team, and with stakeholders upward and laterally.
You can work under pressure and manage multiple priorities, with excellent problem-solving skills and attention to detail.
You're proficient in Google Workspace or Microsoft Office.
You have excellent written and verbal communication, time management and organisational skills.
You're fluent in Japanese and English.
Desirable:
A recognised Assessor qualification.
A qualified Vehicle Safety Operator with a current qualification.
A recognised Quality Assurance qualification.
Additional requirements:
Available to work full-time, on-site at our Tokyo office, 5 days a week.
All applicants are required to disclose any second job as part of the application process.
All applications are subject to a health check before/after.
Employment is contingent on passing training, pre-employment checks and ongoing drug/alcohol testing, per our policy. You'll be tested for drugs and alcohol during your onsite interview.
🌱 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.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Recruiter Interview (30 mins, online)
Driving Test and Written Test (Performed at Yokohama Driving School)
On-site Interview (60 mins, Yokohama Office)
Final interview: mission & values alignment (60 mins, online)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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
📚 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
🤝 Inclusive & Fair Recruitment
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 Robotaxi Teams
The Robotaxi team is taking Wayve's AI Driver to its first public-scale deployment, with fare-paying riders on global ride-hail platforms. This team owns the end-to-end performance operating system for the product: the metrics, triage, and release gates that decide whether the autonomy is good enough to ship, and stays great release over release. For an end-to-end learned driving system, there's no existing playbook to follow: this team is defining what \"performance\" means from scratch.
🧠 Your day-to-day
Own and evolve the autonomy performance measurement framework for Robotaxi (driving + pick-up/drop-off): the metrics, dashboards, and narrative leadership uses 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 land fixes across model, robot software, backend, and evaluation tooling
Lead cross-functional execution across AV core, evaluation/validation, robotics, robot software, triage/systems, and SRE, aligning roadmaps to performance outcomes without direct reporting authority
Define and enforce performance release gates and regression detection for production deployments, owning readiness calls and incident follow-through
Stay hands-on in the data and code when needed (Python/C++/SQL) to accelerate debugging and unblock delivery
🧩 What you'll be working on:
Standing up Robotaxi's performance operating system from scratch: metrics, triage funnel, release gates, and rollback plans for an end-to-end learned driving system with no existing playbook to copy
External-facing performance reporting that's trusted and repeatable enough to share directly with partners like Uber
Integrating new model features and architectures from core engineering into live Robotaxi operations
The stack underneath it all: WayveCode (Python + C++), Looker, Databricks/SQL, Grafana, and internal evaluation and sim tooling
In your first 90 days: mapping the top prioritised fixes across backend, robot, and driving model, and shipping a new driving model deployment and robot software release end-to-end
👤 You should apply if:
You've demonstrated cross-functional engineering leadership, steering complex delivery across multiple teams and stakeholders to production outcomes, without relying on direct line management
You bring a strong product and customer orientation, and can connect technical performance metrics to rider experience, operational outcomes, and launch readiness
You have strong autonomy/robotics performance debugging experience, including deep hands-on work with real-world issues and time-series/real-time signals, rather than just managing a queue
You have strong technical foundations in learned systems/ML-driven robotics, and can reason about model behaviour, failure modes, and measurement pitfalls in data-driven autonomy stacks
You're production-fluent in Python, C++, and SQL, comfortable working directly in code and analytics pipelines to diagnose problems and validate improvements
You have experience owning or co-owning releases to a fleet of robots/vehicles in production, including release processes, gates, rollback plans, and regression handling
You're familiar with modern data/observability stacks used in autonomy programs (e.g. Databricks/SQL, Grafana, internal eval/sim tooling)
🌱 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)
Hiring manager Interview (30 mins)
Deep-dive technical interviews (product sense, domain and system design; 3 hours total)
Final interview: mission & values alignment (45 mins)
We'll always explain the format and work around your availability.
What's in it for you (Location dependent):
💰 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 partner discounts 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.
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.
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 Core Model Safety Team
The Core Model Safety team builds foundational capabilities for assisted and automated driving, including collision avoidance, model understanding, and robustness under failure. It's a small, high-impact team with strong ownership, access to large-scale training and fleet data, and close partners across research, simulation, evaluation, and applied engineering. The work here is central to making driverless autonomy possible: detecting and preventing collisions, developing emergency-driving behaviours from limited data, and making sure the vehicle responds safely when something goes wrong.
🧠 Your day-to-day
Set the technical strategy and roadmap for fault detection and fallback, including its behavioural 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, including machine learning, inference optimisation, and software engineering
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
🧩 What you'll be working on:
Fault detection and fallback systems that let the vehicle respond safely when something goes wrong, from strategy through to deployment on the car
Collision avoidance, model understanding, and robustness under failure: the foundational capabilities this team owns for assisted and automated driving
Fault detection methods chosen on the strength of evidence, built to hold up under real driverless operation
Integration into the shared driving stack, working closely with machine learning, inference optimisation, and software engineering partners
Large-scale training and fleet data, with close partners in research, simulation, evaluation, and applied engineering
👤 You should apply if:
Proficient 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
Strong technical judgement and communication, able to make safety-relevant trade-offs explicit and lead without relying on formal authority
Comfortable working in Python and C++ for robotics
Experience deploying and maintaining fleets of robots or vehicles at scale under real-world conditions
Bonus if you've built tooling to triage and debug robotic systems, or set up cloud-based monitoring for large-scale fleets
Familiarity with embedded or real-time systems, or hands-on machine learning and inference optimisation experience, is a plus
🌱 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)
Hiring manager interview (30 mins)
Deep-dive technical interviews ( Tech Leadership, Domain, Programming; 3 hours)
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 dependent):
💰 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 partner discounts 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.
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.
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 Vehicle Modelling Teams
The Vehicle Modelling team at Wayve builds virtual vehicle models that directly improve simulation accuracy and how well our cars drive. The team's output feeds simulation, evaluation tools, fleet-wide metrics, and future commercial partnerships, giving it impact across the whole company. We're integrating vehicle models with advanced modelling technologies, building what is becoming the go-to tool for simulation and evaluation at Wayve.
🧠 Your day-to-day
Develop virtual vehicle models using physics-based and data-driven techniques
Validate models against on-road data and implement correlation improvements
Convert models into efficient, high-quality software components that meet accuracy, performance, and scalability requirements
Plan, run, and analyse experimental tests at the track or with external partners to improve model accuracy
Share results and insights with stakeholders across robotics, simulation, and product teams
🧩 What you'll be working on:
Virtual vehicle models that integrate with advanced modelling technologies, becoming the go-to tool for simulation and evaluation at Wayve
Metrics and KPIs that define what \"representative\" means for our simulations, feeding gaps back into modelling
Model integration across Wayve's simulation, hardware-in-the-loop, and correlation pipelines
Cross-functional vehicle characterisation work with robotics, simulation, and product teams
Room to specialise over time, whether that's pure modelling, correlation/metrics, or experimental track work, as the team scales
👤 You should apply if:
Experience developing mathematical models and simulation algorithms for vehicle dynamics, robotics, or control systems
A strong grasp of classical mechanics, numerical analysis, and computational methods
You've validated simulation models against experimental data, and know what \"good enough\" looks like
Confident writing production-quality code in C++ or Python
Bring previous experience in vehicle dynamics for autonomous vehicles, automotive, or motorsport
Comfortable with data-driven approaches, such as machine learning or system identification, for modelling systems with unknown physical parameters
Know your way around high-fidelity vehicle dynamics tools (e.g. Dymola, CarSim, CarMaker) and how to integrate them into simulation workflows
🌱 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: (Hiring manager interview & Domain; 1 hour, 30 mins)
Deep-dive technical interviews: (Programming & System design; 2 hours)
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 dependent):
💰 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 partner discounts 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.
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.
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 Customer Integration Team
We’re seeking an exceptional Integration 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.
🧠 Your day-to-day
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
🧩 What you’ll be working on
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.
🙌 You should apply if
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
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interview: team meet and discussion on background.
Deep-dive technical interviews: vehicle integration knowledge & automotive domain knowledge.
Final interview: mission & values alignment.
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.
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.
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 Fleet Operations Engineering Teams
Our Fleet Operations Engineering team ensures the seamless operation, reliability, and safety of our autonomous vehicle fleet. As a vital part of the business, the team is responsible for rapid fault diagnosis, vehicle support, and process optimisation in high-impact environments. Field Engineers work closely with global teams, driving efficiency through hands-on technical problem-solving and collaboration.
🧠 Your day-to-day
Diagnose and resolve vehicle software and hardware faults onsite to maintain fleet uptime
Perform rapid, structured fault triage, ensuring a 5-minute response time
Follow standardised diagnosis and repair protocols, maintaining efficiency and compliance
Collaborate with global field engineering colleagues to coordinate technical support and escalate issues
Communicate clearly with the Field Engineering Lead regarding repair progress and shift handovers
Participate in on-call rotations and provide technical coverage across multiple regions
Maintain strict adherence to safety and compliance standards for all repairs
Support ongoing improvements by identifying issues and providing actionable feedback
🧩 What you’ll be working on
Performing onsite diagnostics and repairs to keep the autonomous fleet operational
Delivering rapid technical support and fault resolution under defined SLAs
Collaborating with engineers and cross-functional teams to troubleshoot challenging issues
Ensuring proper documentation and communication for smooth transitions between shifts and locations
Enhancing operational processes and contributing feedback for continuous improvement
Adhering to and promoting strict safety protocols and compliance standards
Using platforms like Datadog, Mender, and JIRA for monitoring, diagnostics, and reporting
Participating in a shift rota and on-call schedule, covering weekends and multiple time zones
🙌 You should apply if
You hold a full German driving license
You have strong experience in vehicle diagnostics, fault triage, and repair—preferably in automotive, fleet operations, or ADAS technology
You excel at troubleshooting and resolving technical issues quickly (meeting strict SLAs)
You communicate clearly and collaborate well with global and cross-functional teams
You are rigorous about safety, incident management, and compliance to operational procedures
You thrive in fast-paced, evolving environments and are flexible for on-call/weekend shifts
You are familiar with diagnostic tools, software monitoring platforms (e.g., Datadog, Mender), and ticketing systems like JIRA
You are fluent in both English and German
Desirable
Bachelor’s degree (B.Sc. or equivalent) in Automotive, Mechanical, Electrical/Electronic Engineering, Computer Science, Robotics, or a related technical field
Knowledge of ADAS testing, safe vehicle-operation procedures, and high-voltage/EV certification
High-voltage/EV experience and practical diagnostic skills with electric vehicles
Experience identifying recurring issues and improving operational processes for safety and efficiency
Additional Requirements:
Shift rota: Monday–Sunday (weekend work required); shifts 06:00–15:00 or 13:00–22:00
On-site at our office in Leonberg
Must disclose any additional employment as part of the application process
Role subject to pre/post health check and ongoing drug/alcohol testing per company policy
Employment contingent upon successful training and ongoing compliance
🌱 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 hiring manager interview; 1 hour)
Deep-dive technical interviews (programming, systems & domain-specific interviews; 1 hour)
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 dependent):
💰 Salaries benchmarked against the market annually
📈 Meaningful equity, sharing in the ownership and long term success of Wayve
📚 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.
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.
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.
Radar Lead
🛠️ About our Hardware Engineering Team
Wayve's Hardware Engineering team develops and integrates the sensor and compute systems that enable our AI Driver to understand and operate in the real world. Working across hardware, sensing, software and model development, the team turns emerging sensor technologies into reliable, high-quality inputs that can be tested, understood and scaled across vehicle platforms.
🧠 Your day-to-day
As the Radar Lead at Wayve, you'll be a key technical expert within the hardware team, supporting the integration of high-quality radar sensor data into our driver model. You'll build and maintain a deep understanding of the automotive radar landscape, define radar data quality guidelines, and provide domain expertise across integration, debugging and testing. Working closely with software and model development teams, you'll build test capabilities and enable experiments that improve how radar data is used by our AI Driver.
🧩 What you’ll be working on:
• Continuously monitor and analyse advancements in automotive radar technologies and signal processing, maintaining an up-to-date internal view of the competitive landscape so our software can accommodate the latest developments.
• Develop and enforce guidelines for high-quality radar point clouds and sensor data, including best practices for calibration, noise reduction, resolution, and range, velocity and angular accuracy.
• Provide radar domain expertise for integrating sensor data into the AV2.0 driver model, supporting debugging and ensuring data from different radar types is processed and incorporated appropriately.
• Build and enhance test frameworks to evaluate the impact of different radar inputs on model performance, including experiments across adverse weather, occlusion and clutter, and optimise data collection strategies.
• Work closely with software and model development teams to improve radar data processing and handling, using experimentation to identify changes that positively impact model performance.
🙌 You should apply if:
• You have proven experience working with automotive radar technologies and integrating them into software-driven systems.
• You have strong experience in radar data quality control, including calibration, resolution, noise handling, and range, velocity and angular accuracy considerations.
• You have strong analytical skills and can evaluate the impact of sensor data and sensor characteristics on model performance.
• You communicate complex technical topics clearly and can present effectively to stakeholders with different technical backgrounds.
• You are an effective cross-functional collaborator who works well with hardware, software, model development and other engineering teams.
Nice to have
• You have basic scripting capability in Python, Bash or similar tools.
• You have experience working in ADAS or autonomous vehicle environments.
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 may be modified. For roles available to be filled remotely, the pay range is localised 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 operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with focused time working from home.
🌱 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:
Recruiter screen
Hiring Manager interview
Technical / Radar Domain interviews
Deep Dive interview
Mission & Values interview
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.
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.
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 teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.
The Measurement team within AI Evaluation builds and qualifies the offline scene-understanding models Wayve uses to measure driving performance after on-road runs and in simulation. Offline modelling provides greater compute, larger models, and access to past and future temporal context, creating unique opportunities to build credible evidence at fleet scale.
Build, train, and fine-tune scene-understanding models for offline measurement.
Adapt on-vehicle architectures and Wayve foundation models for offline use.
Improve accuracy and generalisation across vehicle platforms, geographies, and driving conditions.
Benchmark your models, diagnose failure modes, and use error analysis to guide iteration.
Define quality bars and statistically credible evidence for validation pipelines and safety cases.
Collaborate with on-vehicle modelling, evaluation, data curation, and simulation teams.
Mentor others and contribute to strong machine-learning and engineering practices.
Transformer-based, multimodal, and vision-language models for detection, segmentation, classification, and scene understanding.
Offline models that use higher compute budgets, larger capacity, and bidirectional temporal context.
Automated benchmarks that assess coverage, mine rare events, and measure driving behaviour.
Fleet-scale camera, lidar, and simulation datasets.
Evidence used in model-development decisions, validation pipelines, customer deliverables, and safety cases.
You have 4+ years in ML engineering and have trained and shipped deep-learning models in production.
You have hands-on experience with modern computer-vision, transformer, multimodal, or VLM architectures.
You have adapted or fine-tuned large pretrained or foundation models and understand data, loss, and representation trade-offs.
You are proficient in Python and PyTorch or a similar framework and comfortable with large-scale training.
You can take ambiguous modelling problems from scoping to a working, measurable solution.
Experience in 3D scene understanding, offline modelling, auto-labelling, temporal or world models, autonomous vehicles, robotics, or distributed training is valuable.
🌱 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.
🚀 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.
Our ambition is to make autonomy universal. Wayve’s mapless and hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution from L2+ through to L4.
This role is based in Sunnyvale. We operate a hybrid model that combines in-person collaboration with focused time working remotely.
Initial call / recruiter screen (25 min)
Competency interview (HM Screen; 60 min)
Deep-dive technical interviews (Applied ML, System Design, Programming; 3 hours)
Final interview focused on mission and values alignment (60 min)
We’ll always explain the format and work around your availability.
💰 Salaries benchmarked against the market annually
📈 Meaningful equity
✈️ Relocation support and visa sponsorship where applicable
✅ Hybrid working and access to vehicle workshops and labs
📚 Learning and development support
🩺 Comprehensive location-dependent health, family, retirement, and wellbeing benefits
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.
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.
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
Our DevOps team owns two main areas: cloud infrastructure, including Kubernetes, networking, security and the Coder development environment, and build infrastructure across GitHub, Bazel, Buildkite, testing and related developer tooling. The two engineers we’re hiring will be the start of our local DevOps presence in Japan, part of a follow-the-sun support model with our UK and US teams.
🧠 Your day-to-day
As a Staff Platform Engineer, you’ll 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 global team, you’ll create reliable, scalable, secure and efficient environments for software development, testing, deployment and release. As one of the first two DevOps engineers in Japan, you’ll combine hands-on project work with local coverage for Wayve’s global developer-support model during normal Japan working hours.
🧩 What you’ll be working on:
Building, operating and improving cloud infrastructure, CI/CD pipelines and build systems that support development, testing and production, primarily in Azure.
Developing and maintaining Infrastructure-as-Code (e.g. Terraform and Ansible), automation and developer tooling for reliable, repeatable delivery.
Operating and scaling CI/CD services, including build agents, runners, artifact storage, distributed execution, caching and containerised workloads.
Implementing observability, monitoring system health, and troubleshooting infrastructure, pipeline, build and deployment issues.
Optimising cloud systems for performance, reliability, security and cost efficiency.
Working with engineering teams across Japan, the UK and the US to make sure platforms meet application needs and support scalable software delivery.
Contributing to the DevOps support channel, incident response and root cause analysis, and reducing manual operations through automation.
🙌 You should apply if:
Essential:
Strong troubleshooting, problem-solving, and communication skills.
8 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.
🌱 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 (Hiring manager interview; 2 hours total)
Deep-dive technical interviews (programming, system design, a DevOps domain interview and a Technical Leadership interview ; 4 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
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination.
The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
- All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
- Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
- Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 Product Teams
You’ll join a growing, new product team building a new business vertical for Wayve and our first consumer program. The product is built on top of Wayve’s end-to-end AI model, so you’ll work on applied AI, and you’ll see and feel what you ship by taking part in the ridehail service yourself.
🧠 Your day-to-day
As a Technical Product Manager for Robotaxi, you’ll own the product from zero to one on our roadmap for L4, in Japan. It’s a full-stack role that combines technical, business and partnership work, spanning the rider’s experience through AI driving, software, hardware, operations, policy and partner integrations. You’ll be the voice of the Japanese rider inside Wayve, working closely with partners such as Uber and Nissan, and you’ll stay immersed in data and metrics day to day. You’ll work across Engineering, HMI, AI, Systems, Operations and external teams, and wear multiple hats.
🧩 What you’ll be working on:
Defining strategy, roadmaps and product requirements with riders in mind, and owning the Japan Robotaxi roadmap.
Leading cross-functional working groups across Engineering, HMI, AI, Systems and Operations to deliver core launches in 2026.
Serving as the voice of the customer, gathering and prioritising rider and partner feedback, as well as being a technical system designer.
Working with AI, software, hardware, policy, operations and partner teams to resolve bugs and ship features.
Establishing launch readiness: integration with partners, coverage of customer use cases, AI driver performance, top issues and launch risks.
Staying immersed in data and metrics, using them day to day to steer product decisions.
Working closely with partners including Uber and Nissan while staying accountable for Robotaxi product performance in Japan.
Operating independently from day one, identifying gaps and doing whatever is needed rather than owning one narrow feature.
🙌 You should apply if:
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
🌱 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 (Hiring Manager Meet; 30 min total)
Deep-dive technical interviews (Product sense, Analytics / data / metrics, tech depth / system design and ridehail business alignment; 4 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
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination.
The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
- All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
- Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
- Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality; your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 AV Core Engineering Team
Wayve’s AV Core organisation builds the foundational capabilities required for assisted and fully autonomous driving. Within AV Core, the Core Model Safety team focuses on collision avoidance, model understanding, and robustness under failure. You’ll join a focused, high-impact senior team working with large-scale training and fleet data, alongside partners in research, simulation, evaluation, and applied engineering.
🧠 Your day-to-day
You’ll lead large-scale data enrichment and curation initiatives, collaborating across pre- and mid-training, reward modelling, self-supervised labelling, and the Data Enrichment Platform. You’ll develop workflows for mining hard and rare events, investigate how models perform in the real world, and improve the efficiency and reliability of our machine learning operations stack.
🧩 What you’ll be working on
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.
🙌 You should apply if
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.
🌱 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 with Talent Partner.
Competency Interviews: Programming and System Design Interviews - 2h total.
Deep-dive technical interviews Domain ML Interviews - 2h total.
Final interview: Mission & Values Alignment - 1h.
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.
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.
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 Technical Program Management Teams
The Technical Program Management team sits within Engineering Operations & Technical Program Management. Our TPMs are force multipliers, helping teams move faster, more effectively and with purpose. In Japan, you’ll be the only TPM on the ground, bridging Wayve’s global R&D with local delivery.
🧠 Your day-to-day
As a Technical Program Manager for Robotaxi, 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. As the only TPM in Japan, you’ll also help support local vehicle hardware and software programs as needed.
🧩 What you’ll be working on:
Owning the lifecycle of robotaxi programs, from vehicle and fleet readiness to launch and in-market scaling, improving delivery through structured execution and coordination.
Tracking and managing dependencies, risks and trade-offs across autonomy, vehicle, operations and safety, and escalating early with clear options.
Keeping engineering, fleet operations, safety and local partner teams aligned, bridging Wayve’s global R&D with local delivery in Japan.
Providing hands-on program support for robotaxi launch and in-market operations, on the ground in Yokohama.
Supporting local vehicle hardware and software programs as needed, as the only TPM in Japan.
Running planning, stand-ups, reviews and retros that keep multi-team delivery predictable and reliable.
Communicating progress and risk to engineers, partners and senior leaders, tailoring updates to each audience.
Improving tooling, processes and ways of working, and sharing patterns across the TPM org.
🙌 You should apply if:
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.
🌱 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 (TPM screen and technical & partnership interviews; 1 hour 45 mins total)
Deep-dive technical interviews (program design; 1 hour)
Final interview: mission & values alignment (30 mins).
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
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination.
The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
- All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
- Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
- Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 Data Engineering and Machine Learning Team
We’re seeking an exceptional Data 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.
🧠 Your day-to-day
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 standardized 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.
🧩 What you’ll be working on
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.
🙌 You should apply if
Essential skills
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 skills
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, maneuver and behavior labels, scene classification, event tagging, semantic understanding.
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interview: system design and data engineering skills.
Deep-dive technical interviews: programming and domain knowledge.
Final interview: mission & values alignment.
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.
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.
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 Vehicle Operations Teams
Our world-class, diverse Vehicle Operations team is dedicated to testing and advancing our autonomous driving technology across Germany. As a Vehicle Safety Operator, you will be at the heart of our real-world AI development, running on-road experiments, providing actionable feedback, and upholding the highest safety standards in collaboration with our research and development teams.
🧠 Your day-to-day
Conduct on-road experiments and testing with our vehicles throughout Germany, ensuring all activities are safe and efficient.
Monitor artificial intelligence systems while driving, actively responding to any hazards to guarantee safe operation.
Evaluate vehicle and AI performance during tests, providing structured, expert feedback to engineering and research teams.
Support safety and engineering processes by identifying and reporting safety and vehicle maintenance issues.
Deliver real-world driving input to help train and refine our AI before public road testing.
🧩 What you’ll be working on
Testing and evaluating autonomous vehicle technology in actual road scenarios.
Reporting system feedback and real-world driving insights to help improve our AI’s performance.
Maintaining safety standards, supporting incident reporting, and collaborating on issue resolution with engineering and safety teams.
Travelling nationally and internationally as required for tests and demonstrations.
🙌 You should apply if
Hold a full, clean German driving licence.
Have at least 5 years' driving experience, primarily in Germany, with no blameworthy insurance claims in the past three years.
Fluent in English and German.
Strong communicator who shows empathy and teamwork.
Comfortable working independently and as part of a team.
Adaptable, flexible, and motivated to solve problems with innovative solutions.
Proficient in Microsoft Office suite or equivalent (Google Suite).
Familiar with basic navigation, touchscreen gestures, typing, text editing, managing device settings, using basic apps, and troubleshooting.
Able to work scheduled shifts (Monday to Sunday, 40 hours per week, with a rota issued 4 weeks in advance; shifts include 06:30-15:00 and 14:30-23:00, weekend work required).
Will disclose any secondary employment as part of the application process.
Willing to complete a health check (before/after offer) and disclose any conditions affecting safe operation.
Able to pass pre-employment and ongoing drug and alcohol testing (including testing during onsite interview).
Desirable:
Experience in vehicle testing, AV environments, or technical demonstrations.
Knowledge of AV technology or autonomous systems.
Customer-facing or hospitality experience.
T1 and T2 Bertha certification.
🌱 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.
Important details about the role:
This is a 1-year Fixed Term Contract (FTC), based onsite at our office in Leonberg.
National and international travel is required.
Please consider your commute: if your one-way journey is over 1.5 hours, it may not be practical for this role.
On-site parking is currently available but cannot be guaranteed as the team grows.
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)
Driving Licence Check
Drug & Alcohol Test and Driving Assessment
Final interview: mission & values alignment
We’ll always explain the format and work around your availability.
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.
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.
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.
UK — 12-month Fixed-Term Contract
🛠️ About our Talent Acquisition Teams
Wayve is pioneering Embodied AI for autonomous driving. As part of our Talent Acquisition team in London, you’ll support the continued growth of our real-world testing and operations through high-impact hiring. The team partners closely with hiring managers and senior leaders to build and scale our global Fleet Operations safely and effectively. You’ll join a collaborative group focused on optimising hiring processes, workforce planning, and delivering an outstanding candidate and hiring manager experience.
🧠 Your day-to-day
Independently manage the end-to-end recruitment process for high-volume frontline, technical, specialist, and manager-level Fleet Operations roles across the UK, Europe, and beyond.
Build representative candidate pipelines through direct sourcing and a range of attraction channels, developing scalable hiring approaches for Vehicle Safety Operators and other core roles.
Partner with hiring managers and Directors to provide guidance on role definition, assessment, market conditions, candidate quality, and closing strategies.
Deliver an inclusive, transparent, and well-managed candidate experience, supporting hiring teams with structured interviewing, timely feedback, and consistent decisions.
Use recruitment data and market intelligence to monitor progress, highlight risks and bottlenecks, and improve funnel performance.
Partner across Talent Acquisition, People, Finance, and Fleet Operations on workforce planning, employer branding, and process improvements.
🧩 What you’ll be working on
Managing full-cycle recruitment for Fleet Operations roles, from intake and market mapping to offer and close.
Designing and executing scalable volume-hiring campaigns and improving assessment processes.
Building trusted, consultative relationships with stakeholders.
Enhancing data-driven recruitment practices and using insights to inform hiring decisions.
Supporting the recruitment needs of a fast-growing, dynamic operational environment at global scale.
🙌 You should apply if
You have demonstrated success in independently delivering full-cycle recruitment in a fast-paced or scaling organisation.
You bring experience recruiting across a range of roles, including high-volume/frontline and specialist or manager-level positions.
You have the confidence and judgement to advise senior stakeholders, challenge assumptions, and translate business needs into effective hiring strategies.
You possess strong direct-sourcing skills and experience building pipelines via multiple attraction channels.
You are hands-on, adaptable, highly organised, and able to balance competing priorities with strong attention to detail.
You are comfortable using applicant tracking systems, recruitment data, and market insights to inform and communicate decisions.
Experience recruiting within fleet operations, automotive, logistics, manufacturing, field operations, mobility, or other high-volume operational environments is desirable.
You may have experience supporting hiring in multiple countries or working with globally distributed stakeholders.
Familiarity with Ashby or a similar applicant tracking system is an advantage.
Experience designing or improving volume-hiring campaigns, recruitment events, or structured assessment processes is desirable.
Prior experience in a startup or scale-up environment is valued.
🌱 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 (2 hours)
Deep-dive technical interviews (1 hour)
Final interview: mission & values alignment (45 mins)
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
This is a full-time, 12-month fixed-term contract based in our King's Cross office in London. At Wayve, we want the best of all worlds, so we operate a hybrid working policy that combines a minimum of two days each week in the office with time spent working from home. Time together in our offices and operational environments helps fuel innovation, culture, relationships, and learning.
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.
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.
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 Legal Team
Wayve’s Legal Team enables the business to achieve its goals while appropriately identifying and managing legal risk. This role sits within our Commercial Legal team, reports to the Managing Counsel, and will play an important role as Wayve scales globally and brings embodied AI technology into real-world deployment.
Based in London, you’ll work closely with commercial, procurement, engineering, product, privacy, People and Fleet Operations teams on a broad range of commercial and cross-border matters. You’ll have significant ownership and autonomy, helping stakeholders understand legal and commercial risks and finding practical paths forward in areas where precedent and market practice may still be developing.
🧠 Your day-to-day
You’ll independently manage a broad range of day-to-day commercial legal matters while partnering closely with colleagues across the business. You’ll draft and negotiate agreements, advise on IP, AI, data, privacy and employment matters, and support strategic initiatives, international expansion and new product deployments.
This is an opportunity for a commercially minded lawyer who enjoys working at the intersection of law, AI, product innovation and operational scale. You’ll need to be comfortable exercising judgement in a fast-moving environment, clearly communicating risk and helping the business find solutions rather than simply identifying obstacles.
🧩 What you’ll be working on:
Drafting, reviewing and negotiating a broad range of commercial agreements, from supplier, software/SaaS, services and other operational contracts through to bespoke agreements with OEM customers and Tier 1 suppliers involving significant IP, data, privacy and other technology-related issues.
Advising on intellectual property, AI and data usage, including data used for AI development and training, alongside other members of the Legal team and external counsel where required.
Working through novel and emerging legal questions at the intersection of law and AI, including areas where legal frameworks, precedent and market practice are still developing.
Advising the People team on 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, including the use and sharing of data in connection with Wayve’s products, commercial relationships, and AI development and training.
Supporting strategic initiatives, international expansion and new product deployments from a commercial legal perspective.
Supporting Fleet Operations and other operational teams in connection with the operation, testing and deployment of Wayve’s vehicle fleet across international markets.
Building and improving scalable legal processes, templates, playbooks and governance structures to support Wayve’s growth and increasing contracting volume.
Educating and enabling stakeholders on commercial risk, contracting best practices and legal processes, while supporting other members of the Legal team.
🙌 You should apply if:
You are a qualified solicitor in England and Wales.
You trained at a leading law firm and have approximately 2–4 years of relevant post-qualification experience, although we are open to candidates with more or less experience.
You have strong experience drafting and negotiating complex commercial agreements, including procurement, supply chain, technology and vendor contracts.
You are comfortable negotiating directly with commercial counterparties and can communicate legal positions clearly and pragmatically.
You have excellent communication and stakeholder management skills and can distil complex legal issues into clear explanations of legal and commercial risk for non-legal stakeholders.
You have experience supporting strategic commercial transactions and working closely with business stakeholders in fast-moving, technology-driven environments.
You exercise strong commercial judgement, assessing legal risk in the context of broader business objectives and providing practical, solutions-oriented advice.
You have experience advising on employment matters affecting a global workforce, or are willing to develop experience in this area, including navigating a fast-paced employment environment.
You can operate autonomously on day-to-day matters, take initiative and exercise sound judgement about when to escalate.
You have experience partnering cross-functionally and can communicate effectively with both legal and non-legal experts.
You have strong organisational and prioritisation skills and can manage multiple workstreams and competing priorities.
You’re enthusiastic about getting stuck into a broad range of legal matters, including areas outside your existing experience, and are comfortable tackling novel questions where precedent may be limited.
Experience within automotive, mobility or the broader technology sector is a major plus, particularly at an OEM, Tier 1 supplier or similarly complex engineering-led organisation.
Experience supporting OEM, strategic partnership or other large-scale B2B transactions involving hardware, software, data or integrated technology solutions is a plus.
Exposure to AI, data or autonomous vehicle-related legal issues is a plus.
Cross-border commercial advisory experience across the UK, US, Europe and Japan is a plus.
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, is a plus.
Experience helping automate and scale legal processes, templates or commercial legal functions is a plus.
Experience in autonomous vehicles, robotics or AI would be valuable, but it is not essential. We are most interested in strong foundational commercial skills, sound judgement and a proven ability to navigate complex legal landscapes in a fast-moving environment.
🌱 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:
This is a full-time role based in our London office. 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.
Some international travel may be required.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 mins)
Competency interviews (Hiring Manager Interview and team interview) (90 mins)
Deep-dive interviews (Presentation) (60 mins)
Final interview (30 mins)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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.
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.
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 is seeking a Robotics Software Engineer to join our Online Calibration team and 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. Working across calibration, state estimation, robot software, hardware acceleration, and vehicle-platform teams, you will help shape the architecture and roadmap for a foundational capability that directly affects vehicle performance, resilience, and safety.
🧠 Your day-to-day
You’ll develop robust production software for online calibration, operating continuously on constrained, hardware-accelerated platforms. You’ll work with asynchronous sensor data, accelerator-produced features, and noisy, time-varying calibration parameters, balancing correctness, debuggability, and runtime efficiency.
🧩 What you’ll be working on:
Extend the existing online calibration node, delivering robust production software within the team’s architecture and technical direction.
Adapt and integrate calibration and estimation algorithms for continuous or on-demand onboard execution.
Develop reliable handling for 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 within compute, memory, storage, and latency constraints 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.
🙌 You should apply if:
You have 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.
You have a strong understanding of filtering and estimation methods, including Kalman-family filters, Bayesian estimation, smoothing, robust estimation, or factor-graph optimisation.
You have strong modern C++ software-engineering skills and proficiency in Python for prototyping, analysis, and test tooling.
You have experience productionising algorithm-heavy robotics software for vehicles, robots, drones, aerospace systems, or comparable edge platforms, including clear lifecycle, failure-handling, and recovery behaviour.
You have experience with asynchronous, high-throughput sensor data and hardware-accelerated pipelines, and can optimise constrained compute and memory systems without losing correctness or debuggability.
You bring strong software architecture, API design, testing, debugging, and performance-profiling skills, alongside end-to-end ownership and effective cross-functional collaboration.
It would also be great if you have experience with visual odometry, SLAM, localisation, sensor fusion, ego-motion estimation, or geometric computer vision; GPU, DSP, NPU, or other hardware-accelerated robotics workloads; or production software at scale in a robotics or autonomous-systems company. Experience with embedded Linux, edge-state management, rollback, automotive safety, or fault-injection testing is also valuable.
🌱 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:
This is a full-time role based in either London, UK or Sunnyvale, US. We operate a hybrid working model that combines in-person collaboration in our offices and workshops 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 Interview (hiring manager interview; 30 mins)
Deep-dive technical interviews (programming in C++/Python, sensor calibration domain interview, and robotics system design interview; Tech Leadership Interview) 60 min each
Final interview: values and team alignment (30 min)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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.
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.
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 Feature Engineering Team
We’re seeking an exceptional Feature 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.
🧩 What you’ll be working on
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.
🧠 Your day-to-day
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.
🙌 You should apply if
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.
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interviews: programming and code review.
Deep-dive technical interviews: domain knowledge & system design.
Final interview: mission & values alignment.
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.
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.
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.
Mechanical Design Engineer
🛠️ About our Hardware Engineering Team
Wayve's Hardware Engineering team designs and integrates the physical systems that enable our AI Driver to operate on real-world vehicle platforms. The team works across mechanical, electrical and systems engineering to package compute, sensors and supporting hardware into robust, manufacturable solutions that can be built, tested, installed and scaled.
🧠 Your day-to-day
As a Mechanical Engineer at Wayve, you'll design and deliver robust integration solutions for compute and sensors on real-world vehicles, working on programmes with some of the world's leading automotive partners. You'll take ideas from concept through prototype and into manufacture, owning quality and design 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.
🧩 What you’ll be working on:
• Design and integrate mechanical solutions for sensors and compute across a range of vehicle platforms.
• Own mechanical design trade-offs across performance, cost, manufacturability and 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, applying GD&T to ensure repeatable builds.
• Partner with supply chain and external suppliers to source and manufacture parts using processes such as sheet metal, machining, vacuum casting and 3D printing.
• Collaborate cross-functionally with electronics and other engineering teams to integrate compute and sensor architectures.
• Create build instructions, inspection checklists and safety/quality documentation, and support knowledge transfer to Fleet and field teams.
🙌 You should apply if:
• You have 4+ years of experience in mechanical or design engineering, with a portfolio of relevant work.
• You are proficient in SolidWorks, and ideally SolidWorks PDM, including master model development and multi-part assemblies.
• You have experience with common manufacturing processes such as sheet metal, machining, vacuum casting and 3D printing, with strong design-for-manufacture judgement.
• You have strong experience designing and building test jigs, rigs and fixtures, and are comfortable working hands-on in a workshop environment.
• You have strong 2D drawing and assembly skills, experience managing BOMs, and a working knowledge of GD&T.
• You have experience using risk assessment methods such as FMEA or DFMEA.
Nice to have
• You have surface modelling experience.
• You are familiar with aluminium extrusion-based builds.
• You have an understanding of electronic systems, such as voltage basics, harness development and compute selection.
• You have hands-on FDM printing experience.
🌱 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:
Recruiter screen
Hiring Manager interview
Technical / Design interviews
Deep Dive interview
Mission & Values interview
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.
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.
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 Robot Software team builds the onboard software used by our development fleet to enable autonomous driving and collect the data needed to train new driving models. The OS team curates Wayve’s bespoke Linux and QNX distributions and works closely with hardware, supply chain, field engineering, reliability, and other Robot Software teams.
You’ll help deliver a reliable, stable, and flexible operating-system platform that lets model developers and scientists iterate quickly while supporting new vehicles, sensors, peripherals, and product features.
🧠 Your day-to-day
Build and maintain embedded Linux and QNX platform software, kernels, and device drivers.
Work with product, program, hardware, and engineering stakeholders to choose and deliver the right solutions.
Develop high-quality C and C++ software that is observable and debuggable on remotely operated vehicles.
Diagnose performance problems involving stack traces, core dumps, disk I/O, CPU load, memory, devices, and threading.
Improve fault tolerance, diagnostics, testing, documentation, tooling, and ease of use.
Mentor teammates and contribute to a strong engineering culture.
🧩 What you’ll be working on
Wayve’s embedded Linux distribution, including Yocto, kernel configuration, device trees, boot sequence, and secure boot.
Linux kernel and device-driver support for new sensors, peripherals, and compute platforms.
High-throughput IPC middleware for robotics applications.
Robust diagnostics and remote debugging for vehicles with limited connectivity.
Stable platform software that supports rapid on-road experimentation and fleet operation.
Integration across NVIDIA Jetson, NVIDIA DRIVE, QNX, and future vehicle-compute platforms.
🙌 You should apply if
You have strong C and C++ experience building high-performance embedded Linux system software.
You understand the full development lifecycle, from design through delivery and optimisation.
You have hands-on knowledge of embedded Linux kernels, device trees, Yocto, boot flows, or user-space systems software.
You can debug complex performance and reliability problems across system layers.
You understand IPC mechanisms and middleware used in high-throughput robotics systems.
You care about testing, documentation, observability, maintainability, and collaboration.
Experience with NVIDIA robotics or automotive platforms, QNX or another RTOS, secure boot, or ROS-style frameworks would be valuable.
🌱 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 recruiter screen — 25 mins
Competency Interviews — Programming and technical domain interviews (2 hours)
Deep-dive technical interviews — Programming, software design, and hiring-manager/team fit interviews (3 hours)
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.
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.
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 Robot Software team builds the onboard software used by our development fleet to enable autonomous driving and collect the data needed to train new driving models. The OS team curates Wayve’s bespoke Linux and QNX distributions and works closely with hardware, supply chain, field engineering, reliability, and other Robot Software teams.
You’ll help deliver a reliable, stable, and flexible operating-system platform that lets model developers and scientists iterate quickly while supporting new vehicles, sensors, peripherals, and product features.
🧠 Your day-to-day
Build and maintain embedded Linux and QNX platform software, kernels, and device drivers.
Work with product, program, hardware, and engineering stakeholders to choose and deliver the right solutions.
Develop high-quality C and C++ software that is observable and debuggable on remotely operated vehicles.
Diagnose performance problems involving stack traces, core dumps, disk I/O, CPU load, memory, devices, and threading.
Improve fault tolerance, diagnostics, testing, documentation, tooling, and ease of use.
Mentor teammates and contribute to a strong engineering culture.
🧩 What you’ll be working on
Wayve’s embedded Linux distribution, including Yocto, kernel configuration, device trees, boot sequence, and secure boot.
Linux kernel and device-driver support for new sensors, peripherals, and compute platforms.
High-throughput IPC middleware for robotics applications.
Robust diagnostics and remote debugging for vehicles with limited connectivity.
Stable platform software that supports rapid on-road experimentation and fleet operation.
Integration across NVIDIA Jetson, NVIDIA DRIVE, QNX, and future vehicle-compute platforms.
🙌 You should apply if
You have strong C and C++ experience building high-performance embedded Linux system software.
You understand the full development lifecycle, from design through delivery and optimisation.
You have hands-on knowledge of embedded Linux kernels, device trees, Yocto, boot flows, or user-space systems software.
You can debug complex performance and reliability problems across system layers.
You understand IPC mechanisms and middleware used in high-throughput robotics systems.
You care about testing, documentation, observability, maintainability, and collaboration.
Experience with NVIDIA robotics or automotive platforms, QNX or another RTOS, secure boot, or ROS-style frameworks would be valuable.
🌱 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 recruiter screen — 25 mins
Competency Interviews — Programming and technical domain interviews (2 hours)
Deep-dive technical interviews — Programming, software design, and hiring-manager/team fit interviews (3 hours)
Final interview: Mission & values alignment (30-45 mins)
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.
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.
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 Application Software Teams
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.
🧠 Your day-to-day
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.
🧩 What you’ll be working on
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.
🙌 You should apply if
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.
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interview: programming and code review.
Deep-dive technical interviews: system integration, system design and linux.
Final interview: mission & values alignment.
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.
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.
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 Supply Chain Team
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.
You’ll serve as the primary Supply Chain lead for your programmes, ensuring programme deliverables, supplier compliance and seamless coordination across Engineering, Operations, Manufacturing and external partners. You’ll work cross-functionally with Engineering, Planning, Sourcing, Logistics, Finance, Legal and Suppliers, while partnering closely with global upfitters and third-party integration partners across the US, UK and other regions to ensure vehicle and programme timelines are met.
🧠 Your day-to-day
You’ll own end-to-end material readiness across assigned programmes, translating engineering requirements and demand into procurement plans and identifying supply risks early in the product lifecycle.
You’ll operate as the strategic liaison between hardware engineering and procurement, coordinating internal teams, suppliers, upfitters and integration partners to keep builds moving. This role combines strategic programme ownership with hands-on execution in a fast-moving, hardware-driven environment.
🧩 What you’ll be working on:
Acting as the primary Supply Chain lead for assigned programmes and internal product builds, including prototypes, NPI and subassemblies.
Owning end-to-end material readiness to support programme milestones across R&D, Engineering, Operations and Manufacturing.
Collaborating with Engineering, Planning, Sourcing, Logistics, Finance and Suppliers to align supply chain activities with programme timelines.
Acting as the strategic liaison between hardware engineering and procurement teams, including managing demand aggregation.
Translating engineering BOMs and aggregated Technical Programme Manager demand into procurement plans.
Identifying long-lead items and critical-path components early in the product lifecycle.
Tracking material status throughout build phases and proactively escalating gaps and risks.
Serving as the primary programme manager for upfitter and partner relationships, ensuring alignment across stakeholders.
Driving upfitter and partner activities to ensure vehicles meet overall programme timelines and quality standards.
Proactively identifying and resolving issues affecting vehicle build readiness, coordinating between internal teams and external partners.
Maintaining clear communication cadences with upfitters and stakeholders, tracking milestones and escalating risks as needed.
Defining, tracking and reporting key supply chain performance metrics, including material availability, total cost savings and inventory cycle count accuracy.
Establishing programme-level supply chain dashboards and reporting cadences to provide leadership and cross-functional stakeholders with visibility.
Analysing KPI trends to identify root causes of supply chain underperformance and driving corrective actions with suppliers and internal teams.
Using KPI insights to continuously improve supply chain processes, reduce waste and increase overall programme efficiency.
Collaborating with Supply Chain Team Leads to ensure direct purchasing, indirect purchasing and logistics suppliers meet compliance requirements, including legal, environmental, regulatory requirements such as TISAX and ISO, and ethical sourcing standards.
Partnering with Legal and Compliance teams to ensure appropriate supplier agreements, NDAs and risk controls are in place.
Developing contingency plans for supply disruptions and actively managing supply chain risks.
🙌 You should apply if:
You have 10+ years of progressive experience in supply chain programme management, NPI and hardware operations.
You have a strong understanding of BOM management, material planning and procurement processes.
You have demonstrated experience managing cross-functional programmes across Engineering, Operations and Supply Chain.
You bring strong analytical, problem-solving and risk-management skills.
You have excellent communication and stakeholder-management capabilities.
You are able to travel internally as needed.
Experience in the automotive, consumer, hardware or robotics industries is preferred.
Familiarity with supplier compliance frameworks, including TISAX, ISO standards and ethical sourcing requirements, is preferred.
🌱 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:
This is a full-time, office-based role located in London, depending on the candidate’s place of residence.
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 offices and workshops with focused time working remotely. We also operate core working hours so you can determine the schedule that works best for you and your team.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 mins)
Competency interviews (Hiring Manager Interview) (45 mins)
Deep-dive interviews (Team and Cross-functional Interviews) (3 hrs)
Final interview (30 mins)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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.
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.
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 German Fleet Operations Team
German Fleet Operations is at the core of Wayve’s on-road testing and deployment. Our team ensures daily operations are conducted with the highest levels of safety and efficiency. We foster an inclusive working environment where Vehicle Safety Operators (VSOs) are encouraged to contribute their ideas and raise safety concerns freely. Shift Leads are a pivotal layer of management for this team, entrusted with maintaining operational excellence on every shift.
🧠 Your day-to-day
Lead and supervise a team of Vehicle Safety Operators (VSOs) during your shift, providing guidance, support, and direction to ensure tasks are completed efficiently and effectively
Oversee the day-to-day operations within the shift, managing work schedules, assigning tasks, and monitoring performance to ensure company standards and KPIs are achieved
Line manage a group of VSOs, ensuring regular monthly face-to-face documented contact with each team member, fostering high performance and addressing any issues
Ensure all operations comply with company policies and legal regulations, promoting a safe work environment by enforcing safety protocols
Monitor the quality of on-road testing during your shift, addressing issues or discrepancies and escalating them to the Quality Assurance team
Serve as the initial ‘Operations Officer’ for on-road incidents, following company Major Incident Management Plan procedures
Prepare and submit shift reports, including performance metrics, incident reports, and any deviations from SOPs
Coordinate individual and collective training and development events with the Quality Assurance team
Identify operational problems and challenges, developing and implementing solutions to ensure minimal disruption
Serve as the primary point of contact for the operations team during your shift, ensuring effective communication between team members, management, and other departments
Drive continuous improvement by implementing process enhancements and best practices
🧩 What you’ll be working on
Leading and developing a high-performing team of VSOs, ensuring operational success and safety
Driving adherence to safety and quality standards across all daily fleet activities
Managing incident responses and reporting accurately and efficiently
Supporting team development through coaching, regular feedback, and training coordination
Working collaboratively with Quality Assurance and other stakeholders to raise the bar on operational excellence
🙌 You should apply if
You hold a full clean German driving licence and have at least 5 years' driving experience in Europe
You remain calm and controlled in pressured environments
You take on board feedback and learn from your mistakes, employing a growth mindset
You enjoy working with people and thrive in a team environment
You know how to manage your wellbeing, including fatigue and stress, with proven personal strategies
You have proven experience as a team coordinator or in a similar role
You bring strong leadership and communication skills in 1:1, team, and cross-functional contexts
You are highly organised, able to work under pressure and manage multiple priorities
You demonstrate excellent problem-solving skills and attention to detail
You are proficient with Google Workspace or Microsoft Office suite
You possess strong and developing driving skills
You are comfortable disclosing any second job as part of the application process
You are willing to undergo a health check, and disclose any conditions that may affect your ability to safely operate a vehicle
You understand employment is contingent on passing random drug and alcohol testing, per company policy
Fluency in both English and German
Desirable
Experience leading vehicle testing, AV environments, or technical demonstrations
Knowledge of AV technology or autonomous systems
T1 and T2 Bertha certification
🌱 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.
Shift Details:
This is a dedicated rotating shift-based role requiring onsite presence at our Leonberg office during operating hours
Remote working from other locations is permitted only by exception, with potential requirement to attend the office at short notice
Shift patterns include early (6:30–15:00) and late (14:30–23:00) shifts, including weekends and public holidays
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 (1 hour total)
Deep-dive technical interviews (2 hours total)
Final interview: mission & values alignment (1 hours)
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
📚 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.
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.
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 teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.
The AI Validation team develops the strategies, evidence, metrics, and test systems that build confidence in the Wayve AI Driver. Both locations translate ambiguous product and safety questions into validation plans, scenarios, metrics, coverage, acceptance criteria, and evidence for release decisions—but the product scope and candidate profile differ by location.
This role focuses primarily on ADAS and L2 autonomy functions. It works closely with automotive and OEM expectations, including product, customer, safety, and regulatory requirements. The role can be hired as a TC4 individual contributor or an M4 manager with responsibility for technical direction and team delivery.
Translate product, systems, and safety requirements into validation strategies, test scenarios, metrics, coverage requirements, and acceptance criteria.
Work hands-on with Python, evaluation pipelines, test implementation, simulation, and data analysis.
Analyse results and communicate findings, risks, and evidence to Product, Safety, Release, and Autonomy Engineering stakeholders.
Coordinate data, simulation, and evaluation dependencies so validation can run reliably and at scale.
Develop comprehensive verification strategies for ADAS and L2 autonomy functions.
Translate customer, OEM, safety, and regulatory expectations into practical validation evidence.
Build test suites spanning simulation and physical testing environments.
At M4, provide people leadership and coordinate validation delivery across the team; at TC4, provide senior technical ownership as an individual contributor.
ADAS functions such as lane keeping and other assisted-driving capabilities.
Validation strategies aligned with automotive OEM development, customer expectations, SOTIF, and emerging AV-industry standards.
Simulated and physical test environments, comprehensive coverage, and evidence-based release decisions.
Python-based evaluation tooling, SQL and scalable data analysis, behavioural metrics, test coverage, and automated validation execution.
You understand how automotive companies and OEMs develop and validate ADAS or L2 autonomy products.
You can translate customer, safety, regulatory, and product expectations into structured validation strategies.
You have hands-on experience building scenarios, metrics, test suites, evaluation pipelines, or data-analysis workflows.
You can use Python professionally and are comfortable with SQL or similar large-scale analysis tools.
You have validated complex systems in simulation, the real world, or both.
You communicate clearly, document decisions well, and can own ambiguous problems from concept through evidence and recommendation.
ML, computer vision, motion planning, SOTIF, safety validation, or modern AI-tooling experience is advantageous.
For the M4 scope, you have experience leading people or coordinating a validation function; for TC4, you bring strong senior individual-contributor ownership.
🌱 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.
🚀 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.
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+ through to L4.
This role is based in London. We operate a hybrid model combining in-person collaboration in our offices and workshops with focused time working remotely.
Initial call / recruiter screen (25 min)
Hiring Manager Screen (60 min)
Deep-dive technical interviews covering systems and domain expertise (4 hours)
Final interview focused on mission and values alignment (60 min)
We’ll always explain the format and work around your availability.
💰 Salaries benchmarked against the market annually
📈 Meaningful equity
✈️ Relocation support and visa sponsorship where applicable
✅ Hybrid working and hands-on access to workshops and labs
📚 Learning and development support
🩺 Comprehensive location-dependent health, family, retirement, and wellbeing benefits
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.
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.
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 teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.
AI Validation is a small, fast-growing team responsible for proving that the Wayve AI Driver behaves safely and effectively. The team owns end-to-end, simulation-led validation across driving competencies such as intersections, crossings, and lane changes.
Own validation for one or more driving-behaviour competencies from strategy through execution.
Develop metrics and automated tests that connect product requirements to measurable driving performance.
Run simulation-based evaluations, analyse results, and investigate failure modes.
Define coverage requirements, test suites, and acceptance criteria with Product, Safety, and AV Engineering.
Report clear findings to Release and Autonomy Engineering stakeholders.
Work across data, simulation, and evaluation teams to remove dependencies and scale automated validation.
General-purpose metrics for on-road and simulated driving behaviour.
Automated test frameworks for end-to-end learned driving systems.
Scenario coverage for complex behaviour areas, including unprotected intersections, crosswalks, and lane changes.
Validation strategies that work across multiple autonomy products.
Evidence that directly influences release decisions and helps bring the Wayve AI Driver to customers globally.
You have hands-on experience with behaviour validation in autonomous driving, robotics, or a related product domain.
You have worked beyond basic lane-keeping or conventional ADAS and understand L2+, L3, or L4 validation challenges.
You can write Python professionally and have implemented metrics, tests, or evaluation tooling yourself.
You are a systems thinker who enjoys turning ambiguous requirements into practical, automated tests.
You can adapt to evolving simulation paradigms and communicate findings clearly.
Experience with SQL, large datasets, AI tooling, or agentic workflows is helpful.
🌱 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.
🚀 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.
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+ through to L4 as our core AI model scales.
This role is based in Sunnyvale, California. We operate a hybrid working model that combines in-person collaboration with focused time working remotely.
Initial call / recruiter screen (25 min)
Competency interviews (HM Screen; 45 min)
Deep-dive interviews covering systems and domain expertise (3-4 hours)
Final interview focused on mission and values alignment (60 min)
We’ll always explain the format and work around your availability.
💰 Salaries benchmarked against the market annually
📈 Meaningful equity
✈️ Relocation support and visa sponsorship where applicable
✅ Hybrid working and access to vehicle workshops and labs
📚 Learning and development support
🩺 Comprehensive location-dependent health, family, retirement, and wellbeing benefits
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.
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.
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 Robot Software group turns new vehicle programs into stable, reliable robot systems. The Platform Integration team works at the boundary between onboard software and vehicle hardware, bringing up new platforms while building reusable components and frameworks that make every future integration faster and more predictable.
As a Software Engineer on the Platform Integration team, you’ll combine hands-on vehicle and bench work with production software development. Your work will directly enable safe, scalable deployment across multiple vehicle programs.
🧠 Your day-to-day
Support software bring-up on benches, HiL systems, and vehicles, including work at international test locations.
Develop and maintain vehicle-facing software components and shared frameworks.
Diagnose integration issues across software and hardware boundaries and drive them through resolution.
Identify architectural improvements that reduce bespoke work and improve reuse.
Build diagnostics, tooling, and metrics for robot-software reliability and performance.
Produce clear documentation and runbooks for long-term supportability.
Collaborate with hardware, safety, controls, calibration, and reliability teams.
🧩 What you’ll be working on
New vehicle-program bring-up across embedded compute, sensors, networks, and software services.
Linux-based robotic and automotive systems with multi-process and distributed architectures.
ROS2 or similar middleware, node development, message interfaces, and system integration.
Sensor calibration, synchronisation, data validation, and system-level debugging.
Automotive-grade compute platforms such as NVIDIA DRIVE and Qualcomm Snapdragon Ride.
Vehicle communication systems including CAN and Automotive Ethernet.
Shared abstractions and frameworks that improve reliability across programs.
🙌 You should apply if
You have strong software-development experience in C++, Python, or Rust.
You have delivered production-quality software on Linux-based robotic, embedded, or automotive platforms.
You understand ROS2 or similar robotics middleware and distributed-system integration.
You have hands-on experience integrating software with vehicle or embedded hardware.
You can diagnose complex problems using logs, telemetry, on-target tests, and systematic experimentation.
You understand vehicle sensors, networking, and the practical realities of platform bring-up.
Experience with drive-by-wire systems, CAN tools, shared frameworks, HiL or simulation, functional safety, technical documentation, or observability would be valuable.
🌱 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, generalize 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 recruiter screen — 25 mins
Competency Interviews — Programming and technical domain (2 hours)
Deep-dive technical interviews — Programming, software design, and hiring-manager/team fit (3 hours)
Final interview — Mission and values alignment (30 mins)
We’ll always explain the format and work around your availability.
What’s in it for you (Location dependent):
💰 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.
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.
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 teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.
The AI Validation team develops the strategies, evidence, metrics, and test systems that build confidence in the Wayve AI Driver. Both locations translate ambiguous product and safety questions into validation plans, scenarios, metrics, coverage, acceptance criteria, and evidence for release decisions—but the product scope and candidate profile differ by location.
This role is a TC4 individual contributor focused on L2+ driving features and new AI Driver capabilities. This includes feature-level driving behaviours, interactions between the automated-driving system and the human driver, and capabilities that extend the core driving experience.
Translate product, systems, and safety requirements into validation strategies, test scenarios, metrics, coverage requirements, and acceptance criteria.
Work hands-on with Python, evaluation pipelines, test implementation, simulation, and data analysis.
Analyse results and communicate findings, risks, and evidence to Product, Safety, Release, and Autonomy Engineering stakeholders.
Coordinate data, simulation, and evaluation dependencies so validation can run reliably and at scale.
Validate L2+ feature-level driving behaviours and new AI Driver capabilities.
Evaluate interactions between the automated-driving system and the human driver.
Define general-purpose metrics for on-road and simulated driving behaviour.
Provide hands-on technical direction across teams while remaining an individual contributor.
L2+ driving features, new AI Driver capabilities, and interactions between automation and the human driver.
Feature-level behavioural metrics, simulated and real-world scenarios, evaluation pipelines, and acceptance criteria.
Evidence used to decide whether new capabilities are ready for product and release milestones.
Python-based evaluation tooling, SQL and scalable data analysis, behavioural metrics, test coverage, and automated validation execution.
You have experience validating autonomous-driving, robotics, or closely related intelligent products, particularly learned or adaptive behaviours.
You are excited by L2+ feature behaviour, human–automation interaction, and new AI Driver capabilities.
You have hands-on experience building scenarios, metrics, test suites, evaluation pipelines, or data-analysis workflows.
You can use Python professionally and are comfortable with SQL or similar large-scale analysis tools.
You have validated complex systems in simulation, the real world, or both.
You communicate clearly, document decisions well, and can own ambiguous problems from concept through evidence and recommendation.
ML, computer vision, motion planning, SOTIF, safety validation, or modern AI-tooling experience is advantageous.
Direct automotive OEM experience is helpful but not essential.
🌱 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.
🚀 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.
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+ through to L4.
This role is based in Sunnyvale. We operate a hybrid working model combining in-person collaboration with focused time working remotely.
Initial call / recruiter screen (25 min)
Hiring Manager Screen (60 min)
Deep-dive technical interviews covering systems and domain expertise (4 hours)
Final interview focused on mission and values alignment (60 min)
We’ll always explain the format and work around your availability.
💰 Salaries benchmarked against the market annually
📈 Meaningful equity
✈️ Relocation support and visa sponsorship where applicable
✅ Hybrid working and hands-on access to workshops and labs
📚 Learning and development support
🩺 Comprehensive location-dependent health, family, retirement, and wellbeing benefits
Source hiring brief: Staff Validation Systems Engineer (Paula Echeverri)
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.
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.
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 Application Software Teams
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.
🧠 Your day-to-day
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.
Support other teams in porting and configuring our applications over Linux-based systems/ QNX/Adaptive AUTOSAR environments.
🧩 What you’ll be working on
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.
🙌 You should apply if
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
5+ 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.
Strong 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.
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interview: programming and code review.
Deep-dive technical interviews: system integration, system design and linux.
Final interview: mission & values alignment.
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.
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.
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
The Application Engineering (App SW) team sits within Product & Delivery and works on critical initiatives that push the frontier of model-based autonomous driving. That covers core driving performance as well as feature-level intelligence such as personalisation, comfort and collaboration.
🧠 Your day-to-day
As an ML Engineer, you’ll design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work spans model architecture, data pipelines, evaluation frameworks and real-world deployment. You’ll work closely with the AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable and ready for production.
🧩 What you’ll be working on:
Developing and improving end-to-end driving models with state-of-the-art performance, robustness and generalisation.
Driving projects on personalised and collaborative driving, including behaviour conditioning, comfort tuning and user alignment.
Building evaluation pipelines and metrics for closed-loop and open-loop driving performance and product readiness.
Curating and mining real-world and synthetic data to drive scenario diversity, coverage and feature-specific development.
Influencing architecture choices, training methodologies and deployment pathways for production-scale learning systems.
Collaborating across teams to keep integration smooth and iteration fast.
Mentoring engineers and helping shape the long-term technical direction across Autonomy.
🙌 You should apply if:
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.
🌱 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 (Python programming, PyTorch debugging ; 2 hours total)
Deep-dive technical interviews (system design; 1 hours total)
Final interview: Values alignment & Applied ML (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
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination.
The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
- All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
- Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
- Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 Vehicle Software Engineering Teams
Our Vehicle Software Engineering team builds and operates the software that keeps Wayve’s autonomous vehicles running safely in the real world. Within it, the Tools & Infrastructure team owns the reliability stack for vehicle software: observability, incident management, operator tooling, and the automation that lets engineering and operations detect and resolve issues faster. As Wayve scales its autonomous vehicle programs with OEM partners this team is defining what SRE looks like for vehicle-centric systems from the ground up.
🧠 Your day-to-day
Building and improving tooling, automation, observability, and incident-management processes for vehicle software reliability
Partnering closely with field engineers, software teams, and operations to diagnose reliability issues and improve system performance
Owning hands-on debugging across Linux, low-level systems, logs, metrics, traces, and vehicle and production data
Developing reliability improvements that reduce manual intervention and make issue detection, triage, and recovery faster
Supporting vehicle-centric operations, including safety-operator tools and the reliability needs of our customer and partner programmes
🧩 What you’ll be working on:
Reliability for real-world autonomous vehicle operations, not just traditional cloud or platform SRE
Vehicle safety, operator tooling, observability, and incident management that have a direct impact on production reliability
Close collaboration with software engineering, operations, and field teams to improve how issues are detected, triaged, and resolved
Defining the SRE approach for vehicle-centric systems as Wayve scales programmes with partners such as Nissan, Stellantis, Mercedes and Uber.
🙌 You should apply if:
You write production-quality code every day in Python, C++, or Rust
You’re comfortable debugging at the Linux and systems level, reading logs, tracing failures, and finding root cause in complex environments
You have experience with CI/CD, containerisation, networking, distributed systems, databases, and observability/incident-management tooling such as DataDog, Prometheus, Grafana, OpenTelemetry, Splunk, Humio or similiar
You’ve diagnosed complex production or operational systems independently, seeing problems through to resolution rather than just escalating
You communicate well across engineering, operations, and field teams, and know when to bring others in
You can be onsite in Sunnyvale at least three days a week to work alongside the field teams you’ll support
Experience with autonomous vehicles, robotics, embedded systems, large-scale telemetry, or safety-critical environments is a plus, though not required
🌱 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 Hiring-manager interview, including an abridged technical assessment (1 hour)
Deep-dive technical interviews Programing , System Design, and SRE Domain Knowledge (3 hours total)
Final interview: mission & values alignment (1 hour), including an onsite visit and demo ride.
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.
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.
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 ships a new driving model baseline every week. The Model Integration & Release team runs simulation and on-road testing to decide whether model candidates are ready to promote. As our release process matures, we have an opportunity to learn more from the data we already collect: strengthening how we measure performance, turning on-road findings into better simulation tests, and aligning what we measure with what operators experience in the vehicle.
As a Senior Data Scientist on the Model Integration & Release team, you will own this analytical layer. You will turn evaluation outputs into findings that improve both our models and how we measure them, working across simulation, on-road experiment data, and internal evaluation tooling. You will partner with Validation, Data Science, and Product to improve how we evaluate and make release decisions more confident.
🧠 Your day-to-day
You will lead analysis of model and autonomous-vehicle performance data, translating complex signals from simulations, offline evaluation, and on-road testing into clear recommendations for engineering teams. You will investigate performance issues, apply statistical rigour to evaluation data, and identify where our metrics, test coverage, or scoring logic could be improved.
You will work autonomously in a fast-moving weekly release cadence, prioritising analysis work, partnering across teams, and turning investigations into durable improvements.
🧩 What you’ll be working on:
Shape how we learn from evaluation data by defining what deeper analysis means in practice and building the habits, tooling, and workflows that support it.
Improve how we measure driving performance by identifying blind spots, inconsistencies, and gaps in simulation and offline metrics.
Investigate on-road release-test findings, determine whether offline tests should have caught them, and improve evaluation coverage and measurement.
Perform experiment analysis and apply statistical methods to provide confident, data-driven promotion recommendations for new driving models.
Expand what “good” means beyond intervention rates, using the behavioural and operational signals we already collect.
Partner with Data Science and Validation on how evaluation methods and ground truth are defined, implemented, and maintained.
Support partner-facing quality investigations by quantifying and tracking issues raised through OEM QA workflows.
Document findings and recommendations in a way the team can act on within a weekly release cadence, and follow through so the same class of issue does not recur.
🙌 You should apply if:
You have strong analytical and investigative skills and can move from a vague “something looks off” to a clear, evidence-backed conclusion.
You have hands-on experience working with ML evaluation data, driving-performance metrics, or complex test results at scale.
You have experience applying statistical methods for A/B testing and experimentation, including confidence intervals, distributions, and sampling.
You are proficient in Python or SQL and comfortable querying and analysing large datasets.
You can operate with autonomy in a fast-moving environment: setting priorities within a broader goal and knowing when to solve an issue directly versus when to escalate or partner.
You communicate clearly in writing and can turn messy investigations into concise, actionable recommendations for technical and non-technical audiences.
You are genuinely curious about why a model behaves as it does and whether we are measuring the right things.
Experience in autonomous driving, robotics, safety-critical ML systems, simulation-based testing, on-road experiment analysis, OEM or partner validation workflows, or improving evaluation infrastructure and measurement methodology would be beneficial.
🌱 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 (Hiring Manager interview and SQL or Python programming interview) 45/60 min
Deep-dive technical interviews (Causal Inference Case Study and Metrics Design) 60/60 min
Final leadership interview (30 mins)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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.
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.
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 Marketing Team
As a Product Marketing Manager at Wayve, you’ll lead the strategic positioning of our Embodied AI software products for automotive OEMs. You’ll develop and execute a global product marketing strategy that drives demand, awareness and positive perception of our automotive products while establishing Wayve as a leading AI developer for assisted and automated driving.
You’ll work across Product & Strategy, Technical Business Development, Automotive and Marketing to develop compelling narratives and materials that communicate Wayve’s unique value proposition to automotive OEMs, Tier 1 suppliers, and SoC and systems architects.
🧠 Your day-to-day
You’ll own product positioning, messaging and value propositions for Wayve’s Embodied AI products, translating complex AI and autonomous-driving technology into clear, differentiated and commercially relevant narratives.
You’ll develop integrated marketing campaigns, content and sales enablement that build awareness and trust in Wayve’s technology and support pipeline growth. You’ll also monitor the competitive landscape and work closely with technical and commercial teams to ensure our positioning reflects both the capabilities of our products and the needs of the automotive market.
This is a role for a strategic thinker and strong communicator who can connect technical innovation with customer needs and help elevate Wayve’s market presence as the automotive industry moves toward increasingly advanced driving automation.
🧩 What you’ll be working on:
Developing and implementing a global product marketing strategy that positions Wayve as a leading developer of Automotive AI and our Embodied AI software as a key enabler for OEMs transitioning to advanced assisted and automated driving.
Crafting differentiated product narratives that demonstrate how Wayve’s technology enables L2+, L3 and L4 automation through Embodied AI.
Defining clear value propositions across Wayve’s product portfolio, highlighting unique selling points that drive adoption and engagement across the automotive sector.
Monitoring and analysing market trends and competitive product offerings, particularly across ADAS and Automated Driving technologies, to inform positioning and marketing strategy.
Creating and executing integrated marketing campaigns that communicate Wayve’s product vision and technological leadership to automakers and establish a competitive position in the market.
Developing content and promotional materials that build trust in AI-driven driving automation and generate consumer interest.
Managing and tracking product-related marketing activities across website content, digital campaigns, product blogs, thought leadership, partner co-marketing and industry events.
Developing marketing strategies that increase brand visibility and product awareness, generate leads and support market expansion.
Collaborating with Automotive and Technical Business Development teams to create sales enablement materials, including presentations, competitive analyses, demos and targeted campaigns that support customer engagements.
Working closely with Engineering, Product Management and Business Development to translate complex technical details about Wayve’s Embodied AI products into compelling, customer-friendly messaging.
Developing internal training and product-knowledge resources so teams across Wayve understand our products’ value propositions and how they address critical industry challenges.
🙌 You should apply if:
You have proven expertise in strategic positioning, value proposition development and product marketing within the automotive industry.
You have strong knowledge of the full B2B marketing mix and understand its role in driving pipeline growth within complex, technical sales cycles.
You bring exceptional collaboration, communication and project-management skills, with a keen eye for detail.
You can effectively prioritize and manage multiple workstreams while working cross-functionally with technical engineering teams and senior leadership.
You’re resilient and optimistic when faced with challenges, viewing setbacks as opportunities for growth while maintaining focus on long-term objectives.
You have outstanding writing, editing and content-development skills and can translate complex technical concepts into clear, compelling, customer-focused messaging.
Direct experience in the autonomous vehicle industry or with automotive software and AI applications is a plus.
A technical background is an asset.
🌱 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 and workshops with focused time working remotely. We also operate core working hours, allowing you to determine the schedule that works best for you and your team.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 mins)
Competency interviews (Hiring Manager Interview) (45 mins)
Deep-dive interviews (Presentations and Cross-functional interviews) (1 hr 45 mins)
Final interview (60 mins)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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.
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.
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 Safety Team
As Technical Director, Safety Case, you’ll own the architecture, strategy and integrity of Wayve’s safety cases for our first products. The 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 our products.
You’ll 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.
🧠 Your day-to-day
You’ll provide independent challenge and advice while enabling Engineering and Product teams to own and deliver the safety evidence required for their systems. You’ll move between top-level safety strategy and detailed technical evidence, identifying gaps and weak assumptions early enough to influence product decisions.
You’ll work across Product, Systems Engineering, AI/ML, Validation, Vehicle Engineering, Software, Hardware and Operational Safety to ensure requirements, architectures, validation plans and release criteria remain aligned with the safety case. You’ll also provide senior leadership and safety governance forums with an independent, evidence-based view of whether the safety argument is sufficiently strong to support release and deployment decisions.
🧩 What you’ll be working on:
Owning the safety case strategy and architecture for Wayve’s robotaxi and OEM ADAS products.
Defining top-level safety claims, argumentation, evidence structures and traceability from safety requirements through validation and deployment decisions.
Developing safety arguments appropriate for AI-enabled autonomous driving, incorporating functional safety, SOTIF, AI safety, cybersecurity, validation, operational safety and post-deployment monitoring.
Evolving reusable safety case approaches as Wayve’s products, vehicle platforms and evidence base mature.
Partnering with Product, Systems Engineering, AI/ML, Validation, Vehicle Engineering, Software, Hardware and Operational Safety to define safety requirements and evidence expectations.
Identifying gaps, assumptions and weaknesses in the safety argument early and driving their resolution with accountable teams.
Ensuring product requirements, architecture, validation plans and release criteria remain aligned with the safety case.
Supporting technical and programme leaders in making proportionate, evidence-based safety decisions.
Providing independent technical challenge of safety cases and supporting evidence.
Assessing whether safety arguments are coherent, complete, evidence-backed and sufficient to support release or deployment.
Highlighting material gaps, uncertainties, dependencies, residual risks and safety red lines, and providing clear recommendations to safety governance forums and senior leadership.
Building a common understanding of safety case principles across Wayve and coaching Engineering and Product leaders on structured safety argumentation, evidence quality and traceability.
Representing the safety case perspective in internal governance, customer and technical discussions.
Contributing to Wayve’s broader safety strategy and assurance capability.
Success in this role means establishing a clear and credible safety case architecture for Wayve’s first robotaxi and OEM ADAS products. Engineering and Product teams will understand the safety claims they support and the evidence they own, while gaps and weak assumptions will be identified early enough to influence product decisions. Wayve’s safety argument for AI-enabled autonomous driving will be technically rigorous, scalable and capable of standing up to scrutiny from customers, regulators and independent assessors.
🙌 You should apply if:
You have deep experience developing or owning safety cases for complex safety-critical systems, ideally within autonomous vehicles, ADAS, robotics, aerospace, defence or another software-intensive domain.
You have a strong systems engineering background spanning requirements, architecture, verification, validation and safety assurance.
You have demonstrated the ability to translate complex technical evidence into structured safety claims and arguments.
You have a strong understanding of autonomous driving and AI/ML safety, including model performance, data, uncertainty and the limitations of conventional verification approaches.
You have experience partnering with AI/ML, Engineering, Systems and Product teams on safety-critical products.
You have strong knowledge of relevant standards, including ISO 26262, ISO 21448, ISO/PAS 8800 and ISO 3450x.
You have excellent technical communication and stakeholder-management skills.
You’re an architect and systems thinker who can move comfortably between top-level safety strategy and detailed technical evidence.
You’re pragmatic and able to distinguish between what is essential to a safety argument and what is merely desirable.
You’re intellectually rigorous, curious and comfortable challenging assumptions, including established industry practices where they do not adequately address AI-enabled autonomous driving.
You can operate independently of Engineering and Product without becoming detached from them, providing credible challenge, direction and oversight while helping teams succeed.
You’re comfortable operating with uncertainty and can make clear recommendations based on the strength of the available evidence.
You’re open to challenge and willing to change your position when better evidence emerges.
You can clearly articulate where a safety red line exists, why it matters and what evidence or mitigation would be required to move it.
Safety case experience with L2+/L3 ADAS or L4 ADS products is a plus.
Experience with GSN or equivalent structured assurance methods is a plus.
Safety evidence experience for end-to-end or foundation-model-based autonomous driving is a plus.
Experience working with OEMs, regulators, assessors or independent safety reviewers is a plus.
Familiarity with operational and post-deployment safety monitoring is a plus.
🌱 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 (Hiring Manager Interview) (45 mins)
Deep-dive interviews (Presentation and Technical Interviews) (2.5 hrs)
Final interview (60 mins)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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.
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.
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
The Application SW team sits within Application Engineering in Product & Delivery. We bridge AI innovation and production vehicles, defining and executing the strategy for integrating Wayve’s autonomy stack into multiple OEM platforms, and working directly with automotive customers, including major Japanese OEMs.
🧠 Your day-to-day
As an Application SW Engineer, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring it performs reliably across diverse SoCs and operating systems. You’ll work closely with Verification, Release and OEM partner teams to make integration smooth and delivery dependable. Your time will be split across platform bring-up and integration, customer and partner engagement, and technical leadership, including helping to build the team.
🧩 What you’ll be working on:
Executing software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
Porting and configuring Linux-based systems, QNX and Adaptive AUTOSAR environments.
Integrating and validating drivers, middleware and boot-time configurations.
Working with Verification and Release teams to integrate hardware into CI/CD, HIL and test infrastructure.
Working with OEM and Tier 1 teams to resolve hardware-specific integration issues.
Implementing system-level diagnostics, logging and secure boot configuration.
Developing automation for setup, flashing, health checks and test execution on target hardware.
Defining and executing the strategy for integrating our autonomy stack into multiple OEM platforms.
Building the team and providing technical leadership across integration work.
🙌 You should apply if:
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.
🌱 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 ; 1 hours total)
Deep-dive technical interviews ( Performance System/low-level Linux, system design and technical leadership, depending on level; 3 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
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination.
The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
- All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
- Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
- Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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
The Triage team in Application Software Japan, part of Product & Delivery, plays a critical role in the safety, reliability and triage efficiency of Wayve’s ADAS+ systems. It bridges Detective Engineering, Triage Engineering and the component teams, so that root causes in real-world vehicle behaviour are found quickly and accurately and issues get resolved faster.
🧠 Your day-to-day
As a Customer Integration Engineer (ML Triaging Engineer), you’ll carry out first-level analysis of real-world run data and on-road interventions, work out likely root causes, and produce Top Issue reports across our test environments and operational domains. You’ll work closely with Detective Engineers on ambiguous or complex runs and with Triage Engineers on automated triage solutions, and you’ll own issues from identification through to documentation and reporting. As Wayve scales, so does the triage team, and you’ll handle multiple triage tasks, requests and safety incidents at the same time.
🧩 What you’ll be working on:
Performing first-level analysis on real-world run data and on-road interventions.
Investigating issues to identify or narrow down likely root causes, and working with Detective Engineers on deeper analysis of ambiguous or complex runs.
Partnering with Triage Engineers to support and improve automated triage solutions.
Managing the full issue lifecycle: identification, investigation, resolution, documentation, reporting and follow-through.
Adding accurate metadata to interventions, including root cause labels, Jira links and comments.
Validating triage automation bots, offline metrics and simulation suites, and making sure outputs meet quality standards.
Giving feedback on triage tooling and suggesting improvements to usability and speed.
Taking part in regular standups to address emerging concerns, set priorities and adapt to process changes.
Contributing to a high standard of safety, quality and operational discipline across triage.
🙌 You should apply if:
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.
🌱 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 (Hiring manager screen on your background and the role; 30-45 mins)
Deep-dive technical interviews (solution and workflow development, practical triage and data analysis; 3 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
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination.
The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
- All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
- Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
- Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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
The Application SW team sits within Application Engineering in Product & Delivery. We build the application-layer software that connects Wayve’s AI capabilities to real vehicle behaviour, working at the intersection of AI, ADAS and real vehicle systems. You’ll have the chance to help shape a new feature engineering capability in Japan.
🧠 Your day-to-day
As an ADAS Feature Engineer, you’ll develop C++ feature logic, validation tools and system behaviours that let AI-native driving technology operate robustly in real vehicles. You’ll work with ML, product, systems and vehicle teams to turn model outputs and vehicle data into reliable, testable and customer-relevant ADAS features. It’s a hands-on role close to the car: you’ll debug and tune features using logs, simulation, replay and vehicle testing, and validate ADAS and active safety behaviours in practical driving scenarios.
🧩 What you’ll be working on:
Designing, implementing and maintaining C++ application software for ADAS and active-safety-related vehicle features.
Building feature-level logic on top of AI / ML outputs, including validation, feasibility checks, state machines, fallback behaviours and safety-aware decision logic.
Working with ML engineers to understand model outputs, limitations and failure modes, and how these translate into vehicle behaviour.
Using logs, simulation, replay and vehicle testing to debug, tune and validate feature behaviour.
Defining and improving metrics, test cases and validation strategies for ADAS feature performance, robustness and quality.
Collaborating with product, systems, vehicle integration and OEM-facing teams to turn requirements and real-world constraints into engineering solutions.
Supporting field testing and iterative development, including investigating vehicle issues, edge cases and performance gaps.
Contributing to software architecture, code quality, tooling and engineering practices for feature development.
🙌 You should apply if:
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.
A practical understanding of vehicle feature development, including real-world testing, simulation, replay, logs or prototype vehicle debugging.
The ability to reason about vehicle behaviour, sensor and 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 (beneficial but not required).
🌱 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 (C++ programming; 1 hours total)
Deep-dive technical interviews (ADAS / AD domain knowledge, system design and, for more senior level, technical leadership; 2-3 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.
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.
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
The Application SW team sits within Application Engineering in Product & Delivery. We bridge AI innovation and production vehicles, defining and executing the strategy for integrating Wayve’s autonomy stack into multiple OEM platforms, and working directly with automotive customers, including major Japanese OEMs.
🧠 Your day-to-day
As an Application SW Engineer, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring it performs reliably across diverse SoCs and operating systems. You’ll work closely with Verification, Release and OEM partner teams to make integration smooth and delivery dependable. Your time will be split across platform bring-up and integration, customer and partner engagement, and technical leadership, including helping to build the team.
🧩 What you’ll be working on:
Executing software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
Porting and configuring Linux-based systems, QNX and Adaptive AUTOSAR environments.
Integrating and validating drivers, middleware and boot-time configurations.
Working with Verification and Release teams to integrate hardware into CI/CD, HIL and test infrastructure.
Working with OEM and Tier 1 teams to resolve hardware-specific integration issues.
Implementing system-level diagnostics, logging and secure boot configuration.
Developing automation for setup, flashing, health checks and test execution on target hardware.
Defining and executing the strategy for integrating our autonomy stack into multiple OEM platforms.
Building the team and providing technical leadership across integration work.
🙌 You should apply if:
Essential
5+ 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.
🌱 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 ; 1 hours total)
Deep-dive technical interviews (systems integration and debugging, Performance System/low-level Linux, system design , depending on level; 3 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
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination.
The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
- All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
- Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
- Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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
The Machine Learning team within Application Software, part of Product & Delivery, works on critical initiatives that push the frontier of model-based autonomous driving. That covers core driving performance as well as feature-level intelligence such as personalisation, comfort and collaboration.
🧠 Your day-to-day
As a Data Engineer, you’ll design and deliver scalable data pipelines that turn vast amounts of data from diverse internal and external sources into structured, reliable and model-ready datasets. Your work spans data ingestion, data quality assurance, transformation, curation, evaluation and ML support. You’ll work closely with Wayve’s Data Corpus teams, customer programmes and ML engineers, bringing up ingestion pipelines for new vehicle platforms and sensor configurations, and tackling the highest-impact bottlenecks first.
🧩 What you’ll be working on:
Building and improving scalable data pipelines that support model development, evaluation and production ML workflows for autonomous driving.
Ingesting, transforming and curating large-scale real-world, synthetic and partner-provided datasets into structured, reliable, model-ready formats aligned with standardised taxonomies and coordinate systems.
Developing data quality checks, validation processes and monitoring so that raw vehicle data and processed datasets are high-quality, complete, consistent, traceable and fit for ML use cases.
Curating and mining real-world and synthetic data to drive scenario diversity, coverage and feature-specific development.
Improving pipeline performance, reliability and usability, reducing bottlenecks and increasing iteration velocity across ML development.
Collaborating closely with ML engineers, Data Corpus, AI Platform and external partners so data pipelines integrate effectively with production-scale learning systems.
🙌 You should apply if:
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.
🌱 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 (System design and data engineering; 2 hours total)
Deep-dive technical interviews (Python coding and a technical domain interview; 2 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
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination.
The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
- All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
- Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
- Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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
Our Fleet Management team builds the platform that connects Wayve’s engineers and operators with a global fleet of autonomous vehicles and data-collection devices. From software deployment and vehicle health to robotaxi operations, our services give teams the visibility and control they need to operate confidently as the fleet grows.
You’ll join an early-stage team working across web applications, backend services, embedded APIs and cloud infrastructure. With multiple OEM integrations and vehicle configurations to support, you’ll help shape both the systems we build and the engineering practices behind them.
🧠 Your day-to-day
Own full-stack features, working with senior engineers, Product Managers and Designers to turn agreed designs into production-quality software.
Contribute to technical discussions and break work into practical implementation steps.
Follow your work through testing, deployment and maintenance.
Write clean, performant code, debug issues and review peers’ changes.
Share what you learn and take on more complex problems as your experience grows.
Keep usability and reliability central to the tools you build for real vehicle operations.
🧩 What you’ll be working on
Frontend and backend features that help teams understand fleet health, configuration, software status and location.
APIs, databases and cloud services behind Fleet Management workflows.
Tools that support engineers and operators across different OEMs and vehicle configurations.
Scalable, maintainable services developed in partnership with senior engineers.
Automated tests, debugging and code reviews that improve the quality and consistency of the platform.
🙌 You should apply if
You have professional experience building full-stack web applications or services, with genuine hands-on exposure to both frontend and backend development.
You have worked with APIs, schemas, databases and backend services.
You can deliver clean, tested and maintainable code, and contribute thoughtfully to technical design discussions.
You are familiar with cloud services, distributed systems or microservice architectures.
You take ownership of assigned work, communicate proactively and enjoy learning from experienced teammates.
Experience with React, TypeScript, MUI, Rust, Go, Node.js, Kubernetes, Bazel or Azure would be useful, but not required.
Bonus if you have experience with fleet management, robotics, autonomy, operational tooling, monitoring or high-volume data workflows.
🌱 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: Programing and Domain Knowledge (3 hours ).
Deep-dive technical interviews: System Design and Hiring Manager Interview (1,5 hour in total).
Final interview: Mission & Values alignment (30 mins).
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.
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.
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
As a Senior Embedded Software Engineer on the Onboard Test Automation Team 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.
🧠 Your day-to-day
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
🧩 What you’ll be working on
Automated integration and system-level testing for embedded Linux or QNX software.
Hardware-in-the-loop validation across multiple compute platforms.
Reliability checks for sensor pipelines, middleware, timing, latency, data integrity, and dropped messages.
Observability that makes intermittent failures easier to reproduce and diagnose.
Earlier validation of software changes to reduce risk during full-vehicle testing.
Test frameworks that improve developer velocity and confidence across Robot Software.
🙌 You should apply if
You have experience testing embedded software systems, ideally on Linux or QNX.
You can develop automated tests in Python, C++, or a similar language.
You have hands-on experience with embedded hardware and hardware/software interactions.
You can debug complex system-level problems using logs, metrics, and controlled experiments.
You understand automation, integration testing, and system validation principles.
You are comfortable collaborating across software, hardware, and infrastructure teams.
Experience with HiL environments, sensor or data pipelines, CI/CD systems such as Buildkite, robotics, autonomous systems, or real-time software would be valuable.
🌱 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 recruiter screen — 25 minutes
Competency interviews — programming and hiring-manager interviews (2 hours total)
Deep-dive interviews — HiL/domain experience, programming, and validation architecture; (3 hours total)
Final interview — mission and values alignment (30-45 minutes)
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.
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.
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 Fleet Operations Team
Our Fleet Operations Team is responsible for 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. The team keeps our fleet in peak condition to support testing, demonstrations, and real-world deployment, working closely with engineering, drivers, and operations teams to keep autonomy moving forward, every single day.
🧠 Your day-to-day
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.
Conduct Routine Maintenance & Servicing – Perform scheduled maintenance on a diverse fleet of AVs, ensuring reliability and safety across all vehicles.
Diagnose & Repair Technical Issues – Troubleshoot complex mechanical and electrical faults using diagnostic tools, working closely with engineering teams to resolve issues quickly.
Support High-Profile AV Readiness – Ensure vehicles are kept in excellent condition and ready for demos, investor rides, and media-facing events.
React to Fleet Faults in Real-Time – Respond to reports from drivers and fleet monitoring systems to address urgent repairs and get vehicles back on the road rapidly.
Work Collaboratively Across Functions – Liaise with Fleet Service Managers, drivers, and Field Engineering to resolve fleet issues and track recurring faults.
Follow Workshop Safety Protocols – Maintain high standards of health and safety in workshop environments, following proper procedures and compliance.
Contribute to Servicing Process Improvements – Share ideas for improving servicing workflows, fault reporting, and documentation practices.
Keep Accurate Records – Log all maintenance and repair activities using tracking tools, supporting compliance and trend analysis for continuous improvement.
Maintain Parts and Tools Readiness – Help manage toolkits, diagnostic devices, and parts inventory to ensure smooth daily operations.
Flexibility to Support 24/7 Operations – This is a shift-based role, supporting a rotating schedule to ensure 24/7 fleet readiness and coverage.
🧩 What you’ll be working on
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.
🙌 You should apply if
Essential:
You have relevant qualifications in automotive servicing, diagnostics and repairs, such as Level 2 Automotive Mechanic qualification (二級自動車整備士) in Japan.
You have proven experience as a Vehicle Technician in an automotive servicing or fleet environment.
You have strong diagnostics capability using OEM or third-party diagnostic equipment.
You're familiar with mechanical and bodywork repairs using OEM repair manuals.
You're competent with computer systems for tracking and recording maintenance tasks (e.g., Word, Excel).
You're comfortable interacting with engineers, operations staff, and drivers.
You have a strong understanding of workshop safety and compliance standards.
You hold a Japan Driving License for at least 5 years.
🌱 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.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 min, online)
Competency Interview (60 min, online)
Deep-dive technical interviews (60 min, online)
Final interview: mission & values alignment (30 min, online)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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
📚 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
🤝 Inclusive & Fair Recruitment
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 Science Teams
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.
🧠 Your day-to-day
Design and run experiments on model architectures, learning objectives and data strategies for robot foundation models.
Build scalable pre-training and post-training methods using web video, egocentric video and robot-interaction data.
Curate, filter, mix and evaluate large robotics datasets, including egocentric, UMI and teleoperated data.
Develop and use distributed training pipelines for large multimodal models and datasets.
Partner with ML engineers, roboticists and hardware teams to turn research progress into measurable real-world robot performance.
Communicate findings through rigorous internal reviews, publications and robot demonstrations.
🧩 What you’ll be working on
Research and develop model architectures, learning objectives, and data strategies for robot foundation models.
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.
🙌 You should apply if
Experience in machine learning, with a focus on 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.
🌱 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 (Pytorch debugging and hiring manager interview; 1.5 hours total)
Deep-dive technical interviews (Systems & domain-specific interviews; 3 hours total)
Final interview: Mission & values alignment (45 mins).
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.
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.
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 Simulation Teams
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.
🧠 Your day-to-day
Model development: Post-train, distill, and evaluate GAIA-family large video diffusion models to improve generation quality, controllability, and generalisation. Run ablation studies and investigate failures in visual quality, temporal consistency, motion, and action conditioning.
Generation at scale: Build and run synthetic video generation pipelines across tens of thousands of driving segments. Optimise inference efficiency, manage GPU resources, and ensure data quality throughout the pipeline.
From generation to training: Integrate synthetic data across different stages of driving-model training, develop sampling strategies, and measure its impact through evaluation suites and on-road performance.
Cross-team collaboration: Work with driving-model teams to determine effective data mixtures and with simulation and evaluation teams to turn generated scenarios into useful closed-loop tests.
Applied research: Translate advances in world modelling, video generation, flow matching, distillation, and data-centric training into measurable improvements in the models and data we deploy.
🧩 What you’ll be working on
Post-train and iterate GAIA-class world models for synthetic-data capabilities: embodiment 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, artefacts, calibration, and controllability failures that determine whether generated video is training-grade.
Improve throughput and yield: inference optimisations (distillation, KV cache), 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.
🙌 You should apply if
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.
🌱 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 hiring manager interview; 1.5 hours total)
Deep-dive technical interviews (Systems & domain-specific interviews; 3 hours total)
Final interview: Mission & values alignment (45 mins).
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.
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.
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
Our Fleet Management team builds the platform that connects Wayve’s engineers and operators with a global fleet of autonomous vehicles and data-collection devices. From software deployment and vehicle health to robotaxi operations, our services give teams the visibility and control they need to operate confidently as the fleet grows.
You’ll join an early-stage team working across web applications, backend services, embedded APIs and cloud infrastructure. With multiple OEM integrations and vehicle configurations to support, you’ll help shape both the systems we build and the engineering practices behind them.
🧠 Your day-to-day
Own meaningful projects from problem definition through design, implementation, deployment and production operation.
Partner with Product, Research, Safety, Operations, SRE and Infrastructure to turn complex fleet needs into reliable services and intuitive tools.
Contribute to architecture and planning, and validate ideas through prototypes.
Write well-tested code and review changes with your peers.
Make technical trade-offs that improve fleet visibility, reduce friction for users and keep systems dependable as deployments scale.
Support other engineers’ growth through feedback and shared technical learning.
🧩 What you’ll be working on
Reliable deployment workflows for software, AI models and configuration across vehicles that may be intermittently connected, including correctness, ordering and rollback.
Services connecting Wayve vehicles with external dispatch systems to support robotaxi and remote autonomous operations.
APIs and web interfaces that make vehicle state visible and help engineers diagnose issues quickly and confidently.
Tools for exploring vehicle telemetry and operational data, alongside reporting on utilization, performance and mission outcomes.
Scalable, observable full-stack systems whose quality, maintainability and evolution you own in production.
🙌 You should apply if
You have experience building, shipping and operating production full-stack applications and web services.
You bring hands-on depth across frontend, backend and infrastructure. Our stack includes React, TypeScript and MUI; Rust, Go and Node.js; and Kubernetes, Azure and Bazel. Experience with it is a plus, not a requirement.
You have independently owned projects from an ambiguous problem through technical design, delivery and ongoing operation.
You understand API contracts, data modeling, service boundaries and the reliability, consistency, scalability and failure modes of distributed systems.
You use metrics, logs and traces to understand production behavior and guide decisions.
You communicate clearly across engineering, product and operational teams, and enjoy mentoring and improving engineering practices.
Experience with robotics, autonomy, robotaxi operations, telemetry pipelines, OTA deployment, remote device management or multi-OEM environments would be valuable, but is not essential.
🌱 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: Programing (1 hour) and Domain Interview (1 hour).
Deep-dive technical interviews: System Design (1 hour), Cross-team Collaboration (30 mins) and Hiring Manager Screen (30 mins).
Final interview: Leadership / Values alignment (30 mins).
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.
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.
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 Product & Delivery team turns our AI Driver technology into valuable, scalable vehicle capabilities for global OEM partners. We work at the intersection of customer needs, product strategy and engineering delivery—defining what great looks like, aligning teams around a clear outcome and ensuring that Wayve’s technology can be brought to market safely and effectively.
As part of this team, you’ll take end-to-end ownership of specific Parking functionalities. You’ll work closely with OEM customers, product and engineering teams to define feature scope, set performance targets and guide delivery from concept through to production. Your work will directly shape how Wayve’s technology performs for customers and drivers as we progress towards higher levels of autonomy.
🧠 Your day-to-day
Act as the accountable product owner for specific Parking features, ensuring they are delivered on time, to the agreed specification and in line with customer and business needs.
Partner closely with OEM customers to understand their requirements, represent their needs internally and align expectations without compromising Wayve’s product strategy.
Work with feature group owners and engineering teams to define feature scope, specifications, performance targets and delivery plans.
Partner with systems, hardware, perception, platform, safety and supplier teams to shape the Parking sensor and compute architecture.
Drive integration and issue resolution across the Parking sensor stack, including ultrasonic sensors (USS) and surround-view cameras (SVCs).
Engage throughout feature development, providing early feedback, participating in testing and supporting evaluation and validation activities.
Identify risks early, manage trade-offs and keep teams aligned as customer priorities, platform constraints and the technology evolve.
🧩 What you’ll be working on:
Owning the end-to-end lifecycle of Parking features, including Park Distance Control, Rear-AEB, Auto-Park Assist, Remote Park Assist and Memory Parking.
Defining and evolving feature specifications in partnership with OEMs, engineering and product teams.
Translating sensor, compute and platform constraints into clear feature scope, performance targets and delivery trade-offs.
Leading integration across the Parking sensor stack, including USS and SVCs, and resolving sensor-specific performance and integration issues.
Harmonising customer requirements across OEM partners to maximise reusable assets, scalability and efficient feature delivery.
Setting clear performance targets and ensuring features meet customer requirements, internal capabilities and agreed delivery specifications.
Supporting testing, evaluation and validation to ensure feature quality and readiness for production.
Maintaining and evolving the strategic feature roadmap as Wayve’s technology advances towards higher levels of autonomy.
Participating in agile planning and delivery rituals, helping teams manage dependencies, risks and priorities effectively.
Ensuring feature delivery aligns with relevant automotive quality, safety and compliance expectations.
🙌 You should apply if:
You have strong experience specifying and delivering Parking features from concept through to production, particularly Park Distance Control, Rear-AEB, Auto-Park Assist, Remote Park Assist or Memory Parking.
You understand automotive development processes, including requirements management, the V-model, ASPICE, quality and validation.
You are confident working directly with OEM customers: understanding their needs, negotiating requirements and representing their perspective internally while maintaining a clear view of Wayve’s product strategy.
You have sufficient technical depth to engage credibly with engineering teams on Parking feature trade-offs, feasibility, testing, evaluation and validation.
You have experience defining and integrating automotive Parking sensor systems, including USS and SVCs, with practical knowledge of interfaces, calibration, diagnostics, supplier management and sensor-specific integration and performance issues.
You have delivered ADAS or Parking features on resource-constrained automotive SoCs, with a practical understanding of how compute, memory, bandwidth, latency and thermal budgets shape system architecture, feature behaviour, performance and customer experience.
You are a strong cross-functional collaborator who can bridge technical and commercial perspectives, creating alignment across customers, product, systems, hardware, perception, platform, safety and engineering teams.
You proactively identify risks and issues before they escalate, balancing immediate delivery needs with the longer-term product roadmap.
Experience shipping complete Parking features into large-scale automotive production programmes would be valuable.
Knowledge of automotive quality, safety and compliance standards—including ASPICE, SOTIF, functional safety, NCAP, UNECE, GSR-II and DCAS—would be valuable.
Experience with AI/ML, LLMs or recent generative-AI methods and architectures would be beneficial.
You bring curiosity and a forward-looking approach to developing new Parking capabilities and advancing the customer experience.
🌱 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:
This is a full-time role based in our Germany office. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces and workshops 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 minutes)
Competency interviews (product ownership, customer collaboration and cross-functional delivery)
Deep-dive technical interviews (Parking and ADAS domain knowledge, feature delivery and product thinking)
Final interview: mission & values alignment.
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.
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.
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 Product & Delivery team turns our AI Driver technology into valuable, scalable vehicle capabilities for global OEM partners. We work at the intersection of customer needs, product strategy and engineering delivery—defining what great looks like, aligning teams around a clear outcome and ensuring that Wayve’s technology can be brought to market safely and effectively.
As part of this team, you’ll take end-to-end ownership of specific Collision Avoidance and Lane Keeping ADAS functionalities. You’ll work closely with OEM customers, product and engineering teams to define feature scope, set performance targets and guide delivery from concept through to production. Your work will directly shape how Wayve’s technology performs for customers and drivers as we progress towards higher levels of autonomy.
🧠 Your day-to-day
Act as the accountable product owner for specific ADAS features, ensuring they are delivered on time, to the agreed specification and in line with customer and business needs.
Partner closely with OEM customers to understand their requirements, represent their needs internally and align expectations without compromising Wayve’s product strategy.
Work with feature group owners and engineering teams to define feature scope, specifications, performance targets and delivery plans.
Engage throughout feature development, providing early feedback, participating in testing and supporting evaluation and validation activities.
Serve as the central point of coordination between OEMs, product and engineering teams, creating clarity, resolving ambiguity and reducing misunderstandings.
Identify risks early, manage trade-offs and keep teams aligned as feature requirements, customer priorities and the technology evolve.
🧩 What you’ll be working on:
Owning the end-to-end lifecycle of ADAS features across Collision Avoidance and Lane Keeping, including Automatic Emergency Braking (AEB), Lane Keeping Assist (LKA), Evasive Steering Assist (ESA), Automatic Emergency Steering (AES) and Blind Spot Monitoring (BSM).
Defining and evolving feature specifications in partnership with OEMs, engineering and product teams.
Harmonising customer requirements across OEM partners to maximise reusable assets, scalability and efficient feature delivery.
Setting clear performance targets and ensuring features meet customer requirements, internal capabilities and agreed delivery specifications.
Supporting testing, evaluation and validation to ensure feature quality and readiness for production.
Maintaining and evolving the strategic feature roadmap as Wayve’s technology advances towards higher levels of autonomy.
Participating in agile planning and delivery rituals, helping teams manage dependencies, risks and priorities effectively.
Ensuring feature delivery aligns with relevant automotive quality, safety and compliance expectations.
🙌 You should apply if:
You have strong experience specifying and delivering ADAS features from concept through to production, particularly across Collision Avoidance or Lane Keeping functions such as AEB, LKA, ESA, AES or BSM.
You understand automotive development processes, including requirements management, the V-model, ASPICE, quality and validation.
You are confident working directly with OEM customers: understanding their needs, negotiating requirements and representing their perspective internally while maintaining a clear view of Wayve’s product strategy.
You have sufficient technical depth to engage credibly with engineering teams on feature trade-offs, feasibility, testing, evaluation and validation.
You are a strong cross-functional collaborator who can bridge technical and commercial perspectives, creating alignment across customers, product and engineering teams.
You proactively identify risks and issues before they escalate, balancing immediate delivery needs with the longer-term product roadmap.
You are comfortable in an ambiguous, fast-moving environment and can bring structure and clarity without adding unnecessary process.
Experience shipping complete ADAS features into large-scale automotive production programmes would be valuable.
Knowledge of automotive quality, safety and compliance standards—including ASPICE, SOTIF, functional safety, GSR-II and DCAS—would be valuable.
Experience with machine learning, LLMs or recent generative-AI methods and architectures would be beneficial.
You bring curiosity and a forward-looking approach to developing new ADAS capabilities and advancing the customer experience.
🌱 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:
This is a full-time role based in our Leonberg office. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces and workshops 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 minutes)
Competency interviews (HM Interview) 45 Minutes
Deep-dive technical interviews (ADAS domain knowledge, Technical Depth and Presentation)
Final interview: mission & values alignment.
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.
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.
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 Program Management Team
Wayve’s Program Management team turns complex technical goals into coordinated delivery. Working closely with engineering, research, product, safety and operations teams, we align priorities, manage dependencies and bring clarity to ambiguous challenges. We combine technical depth with cross-functional leadership to help teams move faster, more effectively and with purpose—focusing on meaningful outcomes rather than process for its own sake.
As Director of Technical Program Management for Driver Out, you’ll own the multi-year programme that takes Wayve’s autonomy technology from its first eyes-off, driver-out demonstration to a productised service on public roads. While robotaxi pilots prove the product in different markets, Driver Out establishes the underlying safety, systems and delivery foundations. You’ll lead this organisation-wide effort, build the TPM team supporting it and work directly with senior leaders and external partners to make driver-out safely and predictably achievable.
🧠 Your day-to-day
Partner with engineering, science, safety, product and operations leaders, alongside external partners including OEMs and Uber, to align on scope, sequencing and readiness.
Drive the programme’s critical path, turning complex technical, safety and operational requirements into clear commitments, and managing dependencies, risks and trade-offs across workstreams.
Coach and support your TPM team, set clear expectations, manage performance and hold workstream leads accountable for delivery.
Run milestone and launch-readiness reviews, using KPIs and dashboards to assess progress, surface issues and drive timely decisions, escalations and risk-budget management.
Represent Driver Out to the executive team, communicating progress, risk and readiness clearly and guiding the programme’s most consequential decisions.
🧩 What you’ll be working on:
Owning the Driver Out programme end-to-end, defining and delivering the multi-year plan from the first driver-out demonstration through public-road product integration and initial scaling, connecting concept to operation.
Coordinating delivery across driving-model performance and safety, system architecture, verification and validation, vehicle hardware and software, remote assistance and operations.
Bringing together the safety case, behaviour validation, functional safety (ISO 26262), SOTIF (ISO 21448), cybersecurity and the Safety Management System into a credible, signed-off safety argument for driver-out.
Building and growing the programme’s TPM organisation, developing other leaders and establishing the operating model, governance and delivery practices needed to lead a programme of this scale.
Connecting Driver Out delivery to Wayve’s commercial path to market, making strategic trade-offs that keep the transition from driver-in to driver-out safe, achievable and aligned with product outcomes.
🙌 You should apply if:
You have 10+ years of experience delivering complex technical programmes, including director-level leadership. You’ve owned large, multi-year, cross-organisation programmes end-to-end and bring deep ownership and a bias for action.
You’ve built and led programme-management teams, with direct responsibility for coaching, development and performance management. You grow high-performing teams and other leaders, and establish effective processes that raise the standard of delivery.
You bring extensive experience delivering autonomous-vehicle or comparable safety-critical robotics programmes, ideally progressing towards driver-out or L4 operation. You understand the systems, safety and operational realities involved.
You’re fluent in safety cases, behaviour validation, functional safety (ISO 26262), SOTIF (ISO 21448) and safety management systems, and can bring these together into a coherent safety argument across multiple workstreams.
You’re technically strong across autonomy, machine learning, vehicle hardware and software, and systems engineering. You can engage credibly with engineers and scientists without being expected to write production code, and understand how changes in one part of a safety-critical system affect the others.
You align and influence engineering, science, safety, product, operations and external partners at the most senior levels, building shared ownership without relying on formal authority.
You stay objective under pressure and adapt your approach in ambiguous, high-stakes environments, bringing structure and clarity without slowing delivery.
You’re product-minded and commercially aware, connecting programme decisions to the people the service will serve and Wayve’s path to market. You prioritise by impact and define success through outcomes rather than activity.
You set direction clearly, use the right metrics to steer delivery and communicate complex risks and readiness decisions crisply to executives.
You’re open to feedback and continuously improve your own leadership, your team’s capabilities and how the programme operates.
Experience taking an AV programme to eyes-off or driverless operation, or launching a comparable safety-critical service, would be particularly valuable.
Experience collaborating with OEMs and mobility partners, including ride-hail providers, would also be a plus.
An engineering or computer science degree, or experience working as an engineer, would be valuable.
🌱 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 (TPM process, Cross-functional; 1 hour 45 minutes total)
Deep-dive technical interviews (Program Design, Leadership & Management; 1 hour 45 minutes total)
Final interview: mission & values alignment (30 minutes).
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
✅ 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.
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.
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 Program Management Team
Wayve’s Program Management team turns complex technical goals into coordinated delivery. Working closely with engineering, research and product teams, we align priorities, manage dependencies and bring clarity to ambiguous challenges. We combine technical depth with cross-functional leadership to help teams move faster, more effectively and with purpose—focusing on meaningful outcomes rather than process for its own sake.
As part of this team, you’ll build and lead the technical programme management function supporting our Data organisation. You’ll partner with Data and Engineering leadership to make valuable data immediately and reliably usable, combining hands-on ownership of flagship programmes with coaching and developing a small, high-impact TPM team.
🧠 Your day-to-day
Coach and support a small, high-impact TPM team, helping people develop their skills, work through challenges and raise the standard of programme delivery.
Act as a trusted delivery partner to Data and Engineering leadership, aligning priorities, challenging trade-offs and holding teams and leaders accountable for meaningful outcomes.
Work across data, ML, engineering and external data and annotation suppliers to manage dependencies, surface risks and remove blockers.
Use KPIs, dashboards and operational reviews to understand delivery progress, identify bottlenecks and steer decisions with the right data.
Represent the Data organisation in company-level reviews, communicating progress, risks and decisions clearly and connecting delivery to business impact.
🧩 What you’ll be working on:
Building and scaling the technical programme management function for our Data organisation, hiring to fill capability gaps and growing a high-performing team.
Owning planning, prioritisation and execution across the data roadmap in partnership with Data leadership.
Leading flagship programmes directly across the data platform, ingestion and standardisation pipelines, enrichment and curation, labelling and annotation, and dataset management and quality.
Establishing scalable planning cadences, governance, escalation paths and operational practices that bring structure without slowing delivery.
Driving measurable improvements in data quality, throughput, cost and time-to-insight, making the data that powers our models more reliably and predictably available.
🙌 You should apply if:
You bring 8+ years of deep, hands-on experience delivering data programmes as a technical programme manager, spanning data platforms, pipelines, enrichment, curation or labelling. You’ve built or scaled a programme function, led people and processes, and get things done with ownership and a bias for action.
You build, coach and grow high-performing teams. You know how to develop people, hire to strengthen the team and raise the bar on technical programme management.
You have strong technical depth across data platforms, pipelines and large-scale distributed infrastructure, including platforms operating at petabyte scale. You can engage credibly with engineers without being expected to write production code. Your experience includes:
Data ingestion from raw data through multiple processing stages and pipelines, with an understanding of directed acyclic graphs (DAGs), their uses and their challenges.
A solid understanding of machine learning, GPUs, and training and inference for models with 500 million to 20 billion parameters.
Proficiency with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker and Python.
Proficiency with AI agents such as Cursor, Claude or Codex to accelerate execution.
You stay objective under pressure and adapt your approach in ambiguous, fast-moving environments. You bring structure and clarity without creating unnecessary process or slowing delivery.
You think in systems, understanding how the parts of a complex data platform fit together and how changes in one area affect others.
You’re product-minded, focusing on the people your programmes serve, prioritising by impact and defining what good looks like—not just tracking activity.
You align and influence across data, ML and engineering without relying on formal authority.
You connect data investment to measurable outcomes, including quality, throughput and cost, and communicate direction and progress clearly using the right metrics.
You’re open to feedback and continuously improve how you and your team work.
Ideally, you’ve worked with large-scale distributed data platforms used by hundreds of engineers and researchers.
Experience in autonomous vehicles, robotics or other large-scale data and ML programmes would also be valuable.
An engineering or computer science degree, or experience working as an engineer, alongside fluency with modern delivery tools such as Jira, would be a plus.
🌱 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 minutes)
Competency Interviews (TPM process, Cross-functional; 1 hour 45 minutes total)
Deep-dive technical interviews (Program Design, Leadership & Management; 1 hour 45 minutes total)
Final interview: mission & values alignment (30 minutes).
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
✅ 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.
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.
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 Fleet Operations Team
Our Fleet Operations Team ensures that our vehicles and staff continuously meet the highest standards in safety, performance, and regulatory compliance. Working collaboratively across various functions, the team plays a key role in developing and delivering training, maintaining operating standards, and supporting the professional growth of our people within a fast-paced and innovative environment.
🧠 Your day-to-day
Monitor and evaluate the effectiveness of training programs, making recommendations for improvements.
Maintain up-to-date training records and ensure compliance with company policies and legal requirements.
Conduct regular assessments of operating standards across teams and individuals to uphold our quality objectives.
Develop and maintain training materials, including manuals, presentations, and online resources.
Work closely 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 suggest opportunities for improvement.
Develop and oversee implementation of quality assurance processes for both training programs and operating standards.
Support staff professional development and course completion, in conjunction with Team Leads.
Collaborate with cross-functional stakeholders to understand and anticipate training needs related to the growth of commercial operations.
🧩 What you’ll be working on
Building, evaluating, and improving training programs for fleet operations.
Upholding and enhancing the effectiveness and compliance of all operating standards across teams.
Creating and updating a library of high-quality training materials.
Implementing and tracking quality assurance processes for all training and operational exercises.
Supporting the development and progression of Wayve’s staff through tailored training and development initiatives.
Analysing data to ensure continuous improvement of both training content and delivery methods.
🙌 You should apply if
You hold a full clean US driving licence and have at least 8 years' driving experience (mainly in the US).
You have no blameworthy insurance claims within the past three years.
You remain calm and controlled in pressured situations.
You’re receptive to feedback, eager to learn from mistakes, and have a growth mindset.
You enjoy working closely with people in a team environment.
You can manage your wellbeing (including fatigue/stress) and have proven personal strategies for doing so.
You have proven experience as a team coordinator or in a similar role.
You demonstrate strong leadership and communication skills—both one-to-one, within your team, and when engaging other stakeholders.
You can work under pressure and manage multiple priorities effectively.
You have excellent problem-solving skills, attention to detail, time management, and organisational ability.
You are proficient in Google Workspace or Microsoft Office suite.
You have excellent written and verbal English communication skills.
Desirable:
Recognised Assessor qualification.
Qualified Vehicle Safety Operator with a current qualification.
Recognised Quality Assurance qualification.
Additional Requirements:
Available to work full-time onsite (Detroit office), 5 days a week.
Must disclose any second job as part of the application process.
Employment is contingent upon passing training, pre-employment checks, and ongoing drug/alcohol testing in line with company policy. Testing will occur during your onsite interview.
🌱 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, Leonberg, and Detroit. 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 (Team Fit & Stakeholder Management; 2 hours total)
Deep-dive technical interviews (Training, Quality Assurance, and Fleet Operations; 3 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 dependent):
💰 Salaries benchmarked against the market annually
📈 Meaningful equity, sharing in the ownership and long term success of Wayve
📚 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.
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.
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 Science Teams
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 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-to-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. 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 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.
🧠 Your day-to-day
Research in architectures and data around robot foundation models.
Implement and experiment with different models such as VLAs, WAMs, omni models, and video models.
Implement and experiment with different learning approaches of the RL/BC kind.
Synthesize and filter large video datasets.
Build scalable distributed training pipelines and infrastructure.
Influence and/or own robot policy development and data decisions.
🧩 What you’ll be working on
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.
🙌 You should apply if
Deep experience in machine learning, with a focus on one or more of: vision-language models, video models, robot policies, or 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.
🌱 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 (Pytorch Debugging and hiring manager interview; 1.5 hours total)
Deep-dive technical interviews (Systems & domain-specific interviews; 3 hours total)
Final interview: Mission & values alignment (45 mins)..
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.
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.
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 Science Teams
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. You will be a core member of the MEGA team, owning key parts of the software and ML infrastructure that underpin the research program, and will help shape how the team develops and operates its ML stack as the program grows.
🧠 Your day-to-day
Design and maintain scalable pipelines for data ingestion, model training, evaluation, and experimentation.
Build reusable interfaces and shared tooling across data, models, training, evaluation, and downstream robotics workflows.
Partner with researchers to translate evolving model and experiment needs into practical software systems.
Diagnose and resolve performance, reliability, and usability bottlenecks across large-scale ML workloads.
Raise the quality of the shared codebase through strong architecture, testing, documentation, and engineering standards.
Support distributed training and data processing across large video, language, and robot-interaction datasets.
🧩 What you’ll be working on
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.
🙌 You should apply if
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.
🌱 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 hiring manager interview; 1.5 hours total)
Deep-dive technical interviews (Systems & domain-specific interviews; 3 hours total)
Final interview: Mission & values alignment (45 mins).
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.
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.
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
Production Software sits within Vehicle SW Engineering and builds the core software infrastructure that lets self-driving models interface with vehicles, be tested, and run safely in production. As part of a team restructure, this role is a high-impact opportunity to help define foundational components and engineering practices as the team scales to roughly 5–6 engineers. You will work on mission-critical, performance-sensitive systems that sit between advanced ML models and embedded/vehicle platforms, with the opportunity to specialise in mapping/navigation, filtering/diagnostics, or control/inference while still collaborating across domains.
🧠 Your day-to-day
Build and maintain core C++/Python software components that interface with autonomy models and vehicle/embedded systems.
Develop infrastructure to communicate with, run, and test self-driving capabilities, separate from ML model development.
Own reliability and performance of key systems across Linux-based environments, and contribute to tooling and diagnostics for testing and validation.
Partner with the wider org, distributed across London, Israel, and the US, to integrate changes and support releases.
Depending on the specific role, focus primarily on one domain area: localisation/navigation/mapping, filtering/diagnostics, or control/inference.
🧩 What you’ll be working on
Design, build, and maintain core C++/Python software components that interface self-driving models with vehicle and embedded systems.
Build and run infrastructure to communicate with, run, and test self-driving capabilities, kept separate from ML model development itself.
Own the reliability and performance of key systems across Linux-based environments, and build tooling and diagnostics for testing and validation.
Partner with the wider org, distributed across London, Israel, and the US, to integrate changes, resolve cross-team issues, and support releases.
Specialise in one domain area, depending on the role, such as localisation/navigation/mapping, filtering/diagnostics, or control/inference, while
🙌 You should apply if
Exceptional C++ proficiency, with a track record of writing performance-sensitive, production-quality code.
Strong Python skills for tooling, integration, and/or test infrastructure.
Solid Linux experience, including development, debugging, and operating in Linux environments.
Embedded systems familiarity, with experience interfacing software with hardware or vehicle systems.
Automotive experience is a strong plus, but not required.
🌱 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 hiring manager interview; 1.5 hours total)
Deep-dive technical interviews (Systems & domain-specific interviews; 3 hours total)
Final interview: Mission & values alignment (45 mins).
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.
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.
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 Product Team
Our Product team works at the intersection of AI research, engineering and customer needs to shape the future of autonomous driving at Wayve. We define product direction, translate complex technical capabilities into clear roadmaps, and bring cross-functional teams together to turn research into products that deliver real-world impact.
Working closely with engineers, researchers, programme managers and automotive partners, we balance long-term ambition with practical delivery. We combine technical depth with product judgement, listen carefully to our customers and teams, and create alignment around what to build, why it matters and how we’ll measure success.
🧠 Your day-to-day
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.
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.
🧩 What you’ll be working on:
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.
Translate R&D progress and customer needs into a clear product roadmap, sequencing capabilities to maximise impact and de-risk delivery.
Set, track and report on clear KPIs and milestones, and establish the operating rhythm the team needs to deliver.
🙌 You should apply if:
You’ve independently owned a substantial work package and led a cross-functional team to deliver it. You take responsibility for outcomes and proactively work through blockers.
You bring strong technical depth, ideally in AI/ML, autonomy, robotics or another deep-tech domain, and can engage credibly with senior engineers and researchers.
You’re a careful listener and clear communicator who can motivate and energise a team through ambiguity.
You have a proven track record in product management, technical programme management or a similar role working on complex, cutting-edge technical products.
You work autonomously, exercise sound judgement and are comfortable making decisions with imperfect information, then adapting as you learn.
🌱 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 (Product Sense interview; 1 hour)
Deep-dive technical interviews (Cross-functional, domain-specific interview, presentation; 2.5 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.
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.
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 Data Enrichment Platform Team
Our Enrichment Orchestration team builds the platform that enables Wayve’s teams to deploy, run, evaluate and continually improve machine-learning models. Processing petabytes of driving data across large GPU fleets, the team creates dependable, self-service capabilities that help model engineers understand model performance, improve quality and reduce operational effort and cost.
As our Staff Software Engineer, you’ll own the platform’s technical vision and long-term direction. You’ll combine hands-on engineering with cross-team technical leadership, shaping how model engineering, infrastructure, compute and data capabilities come together to accelerate model development.
🧠 Your day-to-day
Own the technical vision and architecture for the end-to-end Data Enrichment Platform, translating user needs into a clear technical direction.
Lead the design, development and operation of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities and dataset catalogues.
Make architectural decisions for petabyte-scale data and large GPU fleets, addressing data locality, scheduling, capacity, backpressure, failure recovery, observability and cost.
Evaluate when to build, buy, reuse, integrate, consolidate or replace technologies as Wayve’s needs and the technology landscape evolve.
Establish clear technical boundaries and ownership across model engineering, AI Platform, infrastructure, compute, storage and data teams.
Remain hands-on while leading cross-team delivery, mentoring senior engineers and raising standards for maintainable, tested and observable software.
Lead and develop a small team of engineers, providing technical direction, coaching and regular feedback while setting priorities and supporting their career growth.
Drive adoption of reusable, self-service capabilities so teams can onboard and operate workflows independently.
Define measurable service levels and success metrics covering reliability, throughput, cost, automation and adoption.
🧩 What you’ll be working on
A scalable platform for large-scale inference, automated evaluation, model monitoring, active learning and retraining.
Self-service backend services and APIs that enable dozens of model engineers to deploy and operate repeatable workflows independently.
Reproducible dataset selection, versioned outputs, annotation workflows and dataset catalogues with clear metadata, provenance and lineage.
Reliable model-execution workflows operating across petabytes of driving data and large GPU fleets, scaling towards thousands of GPUs.
Monitoring and operational tooling that make model quality, platform reliability, throughput, cost, runtime and workflow status visible.
The foundations for continuous evaluation, drift detection and automated model-improvement loops across robotics and computer-vision workloads.
Architectural improvements that reduce inference costs, duplicate compute and manual operational effort.
🙌 You should apply if
You have owned the long-term technical direction of a complex, multi-system platform or capability and can demonstrate the measurable outcomes of your decisions.
You have strong production software-engineering experience in Python, building maintainable, tested and observable backend services, APIs and data-processing systems.
You have deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads.
You have a track record of turning internal platforms into widely adopted, reliable and usable self-service products.
You bring excellent architecture and technology judgement, balancing immediate delivery needs with long-term platform direction.
You remain hands-on while leading delivery across organisational boundaries, influencing technical decisions and aligning teams around clear ownership and shared outcomes.
You communicate complex ideas clearly and have experience mentoring senior engineers and strengthening the technical capabilities of those around you.
You have people leadership experience, such as managing or technically leading a small team of 2-3 engineers, setting direction, guiding delivery and supporting their growth and performance.
Experience with workflow orchestration, batch inference, ML platforms, model deployment or registries would be an advantage. Relevant technologies include Flyte, Airflow, Dagster, Argo, Spark, Databricks, Ray, Kubernetes and GPU infrastructure.
Experience with annotation or dataset-catalogue platforms, including provenance, versioning, lineage and quality control, would also be valuable.
Experience with production robotics or computer-vision platforms—including annotation, inference, evaluation and model monitoring—is particularly desirable. Computer-vision research expertise is not required.
🌱 Not ticking every box? That’s totally okay!
If you’re passionate about autonomy and the impact you could make at Wayve, 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+ 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
This role is based in London. 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 / Talent Partner screen (30 mins)
Competency interviews: Python coding (60 mins), System design (60 mins)
Deep Dive Interviews: Technical Leadership, Hiring Manager interview (45 mins)
Final interview: Mission, values and Staff-level calibration (45 mins)
We’ll always explain the format and work around your availability.
What’s in it for you (location dependent)
💰 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.
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.
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
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.
🧠 Your day-to-day
Build fullstack features across search, scenario mining and agentic tooling.
Talk to model developers and researchers, and define how you will measure success before building.
Take the scenario mining framework from prototype to production scale.
Extend our agent tooling so agents can run evaluation workflows end to end.
Work with large-scale data systems (Databricks, Spark) in an established codebase.
Own the reliability and maintainability of what you ship.
🧩 What you’ll be working on
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.
🙌 You should apply if
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
🌱 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 hiring manager interview; 2 hours total)
Deep-dive technical interviews (Systems & domain-specific interviews; 2 hours total)
Final interview: Mission & values alignment (45 mins).
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.
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.
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 Application Software Team
Our Application Software US team brings Wayve’s autonomous driving technology onto customer vehicle platforms, driving localisation and advancing our capabilities for the US market. Working at the intersection of our AI software stack, embedded systems and automotive hardware, the team enables reliable performance across diverse systems-on-chip (SoCs) and operating systems.
We’re seeking an exceptional technical leader to build and lead this high-impact team. This is a unique opportunity to shape our AV capabilities in the US from the ground up, hiring and mentoring engineers while leading the bring-up and early validation of our AI software stack on customer hardware.
🧠 Your day-to-day
Build and lead an engineering team in the US, hiring and mentoring top talent while providing hands-on technical leadership.
Lead software bring-up on customer hardware platforms, such as NVIDIA DRIVE and Qualcomm Ride, including porting and configuring Linux, QNX and Adaptive AUTOSAR environments.
Validate drivers, middleware and boot-time configurations, partnering with OEM and Tier 1 teams to resolve hardware-specific integration issues.
Collaborate with Verification & Release teams to integrate hardware into CI/CD, hardware-in-the-loop (HIL) and test infrastructure, automating setup, flashing, health checks and test execution.
🧩 What you’ll be working on
You’ll make Wayve’s AI software stack run reliably on customer hardware, from initial platform bring-up through early validation. Your scope includes operating system configuration, board support packages, drivers, middleware and boot-time behaviour, alongside system-level diagnostics, logging and secure boot configuration.
Working closely with customer partners and internal engineering teams, you’ll establish repeatable integration and testing workflows that support efficient development across automotive platforms.
🙌 You should apply if
You have 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience, and strong proficiency in C/C++, Bash and Python.
You’ve demonstrated the ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
You bring deep knowledge of embedded Linux, including Yocto, systemd, bootloaders and device trees, plus familiarity with configuring and debugging QNX and Adaptive AUTOSAR on target hardware.
You have experience bringing up automotive-grade SoCs, such as NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas or TI, and are comfortable with hardware debuggers, flashing tools, serial consoles, BSPs and protocols including CAN, Ethernet, PCIe, SPI and I2C.
You’ve integrated embedded platforms into CI/CD pipelines and test automation frameworks, connecting hands-on development with repeatable validation.
It would also be great if you bring:
Exposure to automotive verification environments, including HIL systems, Vector toolchains or custom CI rigs, and tools such as Docker, Jenkins, Git and JFrog Artifactory.
Experience in safety-critical development, including ISO 26262, boot-time determinism and watchdogs, alongside knowledge of secure boot, over-the-air updates and system-level cybersecurity.
🌱 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:
This is a full-time role based in Detroit, MI, or Sunnyvale, CA, with a hybrid working model.
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 min
Competency Interviews 1 hour
Deep-dive technical interviews 3 hours
Final interview: 45 min
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.
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.
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 Technical Program Management Teams
The Technical Program Management team sits within Production Programs in Product & Delivery and leads Wayve’s programs with OEM customers, from early-stage advanced development initiatives to full-scale production. This role sits at the intersection of customer, product and engineering, with close collaboration with our US teams.
🧠 Your day-to-day
As Robotaxi Customer Program Manager, you’ll be the main customer-facing program lead for Wayve’s Japan-based OEM and partner activity, with a current focus on robotaxi work involving Nissan. You’ll work with the customer to define and manage project plans, and make sure their requirements flow into our internal development pipeline and are delivered on schedule. You’ll turn customer needs and feedback into clear internal priorities, filter and structure requests so the wider organisation can focus on what matters most, and report progress and risks in both Japanese and English. It’s a high-visibility, high-ownership role in a fast-moving, ambiguous environment with significant autonomy.
🧩 What you’ll be working on:
Leading cross-functional teams in executing complex customer programs, making sure program objectives are achieved.
Establishing and maintaining a comprehensive project management framework, including project planning, risk management, change management and task coordination.
Engaging with customers to understand and address their technical requirements and needs.
Collaborating with Product, TPM, R&D and engineering teams to translate customer demands into clear, actionable technical requirements.
Working with internal development teams to align customer requirements with internal milestone planning and execution.
Running progress reporting, stakeholder communication and meeting cadence, externally with customers and internally, in both Japanese and English.
Filtering and structuring customer requests so the wider organisation can focus on what is most important and executable.
Providing first-level support to customers, so their needs are met promptly and effectively.
🙌 You should apply if:
Essential
Fluent Japanese and English, with the ability to lead high-stakes external discussions in both languages.
Strong program management experience, ideally more than 5 years or at senior individual contributor level, in complex automotive software development.
Direct experience working with Japanese OEMs, automotive companies or tier-1 suppliers.
Proven customer-facing stakeholder management experience, not just internal program delivery.
Strong ownership and the ability to operate effectively in ambiguity.
Robust technical expertise, with comprehensive knowledge of the automotive industry and software development, and some robotics, autonomy or AI-related experience.
Proficiency with program management tools (e.g. Jira), and exceptional communication and interpersonal skills.
The ability to collaborate effectively across multidisciplinary teams, and a willingness to travel as needed.
Desirable
Knowledge of current AI advancements, including Generative AI, AV 2.0 and Large Language Models (LLMs).
Hands-on software development experience (Python, C++, Rust and others).
A Master’s degree in Engineering or Computer Science.
🌱 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 ( Hiring team ; 1 hour total)
Deep-dive technical interviews (automotive product, program management and cross-functional collaboration, and a presentation on running customer programs; 3 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.
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.
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 Application Software Team
Our Application Software US team brings Wayve’s autonomous driving technology onto customer vehicle platforms, driving localisation and advancing our capabilities for the US market. Working at the intersection of our AI software stack, embedded systems and automotive hardware, the team enables reliable performance across diverse systems-on-chip (SoCs) and operating systems.
We’re seeking an exceptional Application Software Engineer to join the team. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in the US from the ground up, collaborating closely with Verification, Release and OEM partners to ensure smooth integration and reliable delivery.
🧠 Your day-to-day
Execute software bring-up on customer hardware platforms, such as NVIDIA DRIVE and Qualcomm Ride, including porting and configuring Linux-based systems, QNX and Adaptive AUTOSAR environments.
Integrate and validate drivers, middleware and boot-time configurations, working with OEM and Tier 1 teams to resolve hardware-specific integration issues.
Collaborate with Verification & Release teams to integrate hardware into CI/CD, hardware-in-the-loop (HIL) and test infrastructure.
Implement system-level diagnostics, logging and secure boot configuration, and develop automation for setup, flashing, health checks and test execution on target hardware.
🧩 What you’ll be working on
You’ll be responsible for the bring-up and early validation of Wayve’s AI software stack on customer hardware platforms. Your work will span embedded operating systems, drivers, middleware and boot-time configurations, ensuring reliable performance across automotive-grade SoCs.
You’ll connect hands-on platform integration with automated testing and release infrastructure, helping teams diagnose issues, validate changes and deliver software reliably.
🙌 You should apply if
You have 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience, and strong proficiency in C/C++, Bash and Python.
You bring a deep understanding of Linux-based embedded systems, including Yocto, systemd, bootloaders and device trees.
You’re familiar with QNX and Adaptive AUTOSAR environments and can configure and debug them on target hardware.
You have experience bringing up automotive-grade SoCs, such as NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas or TI. You’re comfortable with hardware debuggers, flashing tools, serial consoles and board support packages (BSPs), and familiar with CAN, Ethernet, PCIe, SPI and I2C.
You have hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
It would also be great if you bring:
Exposure to automotive verification environments, such as HIL systems, Vector toolchains or custom CI rigs, and familiarity with Docker, Jenkins, Git and artifact management tools such as JFrog Artifactory.
Experience in a safety-critical domain, including ISO 26262, boot-time determinism and watchdogs, alongside an understanding of secure boot, over-the-air (OTA) updates and system-level cybersecurity.
🌱 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:
This is a full-time role based in Sunnyvale, CA, or Detroit, MI, with a hybrid working model.
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 min
Competency Interviews 1 hour
Deep-dive technical interviews 3 hours
Final interview: mission & values alignment 45 min
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.
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.
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 MEGA Team
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.
🧠 Your day-to-day
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.
🧩 What you’ll be working on:
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.
🙌 You should apply if you have:
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.
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interviews: programming and code review.
Deep-dive technical interviews: domain knowledge & system design.
Final interview: mission & values alignment.
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.
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.
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 Network & Infrastructure Teams
Our team owns the network and site infrastructure that keeps Wayve connected across offices, garages, labs and test facilities in six countries. We’re a growing team of seven engineers across the UK, US, Japan and Israel, delivering a multi-year network upgrade and supporting new sites as Wayve expands. As Network & Infrastructure Engineering Manager, you’ll lead the team, partnering with a staff-level network engineer who sets architecture and standards, and with our Security, Cloud and Workplace teams.
🧠 Your day-to-day
Lead, hire and develop a distributed team, helping engineers grow into domain owners.
Own the roadmap, delivery priorities and vendor relationships for our network and site infrastructure.
Work with our staff-level network engineer to turn technical direction into reliable delivery.
Stay hands-on for roughly 20% of your week, reviewing designs, setting engineering standards and improving automation.
Take part in the network on-call rotation, own P1 escalations and drive corrective actions after incidents.
Partner with Security, Cloud and Workplace colleagues, with regular travel to our sites in Europe, the US and Japan.
🧩 What you’ll be working on
Delivering an approved, multi-year network replacement across our sites, including hardware standards, vendor coordination and safe cutovers.
Building and operating local and wide area networks, wireless, firewalls, certificate-based 802.1X network access control, monitoring and out-of-band management.
Shaping new sites end to end: network connectivity, audio-visual systems, meeting rooms, desk technology and fit-out IT.
Improving connectivity between our sites and cloud platforms, in partnership with the team that owns those platforms.
Turning manual infrastructure work into repeatable automation and infrastructure as code.
Delivering network security controls and evidence that support customer requirements and security assessments.
🙌 You should apply if
You’ve led a network or infrastructure team across sites and time zones, including hiring, performance management and developing engineers.
You bring deep hands-on enterprise networking experience across local and wide area networks, wireless, firewalls and certificate-based 802.1X.
You’ve owned site infrastructure beyond the network, such as AV, meeting rooms, fit-outs or new-site builds.
You’re comfortable with infrastructure as code and network automation, and can set standards and review your team’s work.
You’ve owned major network incidents and delivered multi-site hardware programmes with vendors and resellers.
You’ve delivered network controls and evidence for TISAX, ISO 27001, SOC 2 or an equivalent security assessment.
You want a people-leadership role that still includes hands-on engineering, on-call responsibilities and regular travel—not a network-only or purely strategic position.
Experience with Juniper SRX and Mist, Azure or AWS hybrid connectivity, RADIUS and certificate infrastructure, or automotive supplier-security assessments would be a plus.
🌱 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): motivation, experience, role fit and practical details.
Competency interview (1 hour): leadership and people management with the hiring manager, including leading a distributed team and partnering with a staff engineer.
Deep-dive technical interviews (3 hours total): network domain expertise, end-to-end site design, and network security controls and evidence.
Final interview (1 hour): mission and values alignment, judgement and communicating riskWe’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.
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.
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 Simulation Teams
You'll be joining the Simulation team (Simulation Evaluation & Validation), working on Gaia — Wayve's world model. Gaia is trained on large-scale driving video to predict future frames from past context, functioning as a simulator that generates synthetic scenarios and operates in closed loop with the driving model itself. The team partners closely with Research, Applications, Core Simulation Engineering, and Cloud/Infrastructure to turn model improvements into measurable downstream impact on the driving stack.
🧠 Your day-to-day
Own and lead parts of large-scale training for Gaia (language- or video-style training at scale), from experimentation through productionised training runs.
Contribute to and influence model architecture decisions — not just applying existing models.
Partner across sub-teams: Research (model development), Applications (adapting models to use cases), Core Simulation Engineering, and Cloud/Infrastructure.
Translate product and evaluation needs into model improvements (e.g. better long-horizon prediction, scenario generation quality, failure-case coverage).
Mentor and set technical direction, raising the engineering and research quality bar across the team.
🧩 What you’ll be working on
Leading and executing Gaia's post-training and closed-loop pipeline — fine-tuning and aligning the world model through post-training experimentation and targeted data curation.
Pushing Gaia's autoregressive generation towards longer, more stable rollouts, and making the model deployment-ready (inference time and reliability included).
Contributing to broader model architecture and training-strategy decisions where they intersect with pre- and post-training and the application layer.
Partnering closely with research, applications, simulation engineering, and cloud/infrastructure teams to translate post-training improvements into measurable downstream impact.
Providing technical leadership through mentorship, review, and setting high engineering/research standards.
🙌 You should apply if
Essential:
You have hands-on experience post-training/fine-tuning large-scale models (language, video, or other foundation models).
You have experience with world models, autoregressive generation, and long-horizon generation.
You have experience with diffusion/flow models and a solid understanding of 3D vision.
You have a strong understanding of model architecture and can contribute meaningfully to architectural/training decisions.
You have strong hands-on engineering skills with modern ML stacks (e.g. PyTorch), including debugging and performance/reliability-minded development.
You have 5+ years of relevant industry experience (advanced degrees are valued, but depth of applied experience matters more).
Desirable:
Experience with inference optimisation or deploying large models under latency/compute constraints.
Experience improving data/training pipelines and working across infrastructure constraints (distributed training, efficiency, reliability).
Proven technical leadership — tech lead ownership, mentoring, or setting direction across an area.
🌱 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/Pytorch debugging and hiring manager interview; 2 hours total)
Deep-dive technical interviews (Systems & domain-specific interviews; 3 hours total)
Final interview: Mission & values alignment (45 mins).
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.
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.
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 Fleet Operations Talent Team
Wayve is pioneering Embodied AI for autonomous driving. We are looking for a Talent Acquisition Associate to join our Sunnyvale team and support the continued growth of our real-world testing and operations. Our talent team plays a crucial role in building the high-performing Fleet Operations teams that enable us to scale safely and efficiently across North America and beyond.
🧠 Your day-to-day
Manage end-to-end recruitment across high-volume frontline, technical, specialist, and manager-level Fleet Operations roles, including intake, market mapping, assessment, offer, and close.
Build representative candidate pipelines through direct sourcing and a range of attraction channels, focusing on scalable strategies for Vehicle Safety Operators and other operational roles.
Develop trusted partnerships with hiring managers and Directors, providing consultative guidance on role definition, assessment, market conditions, candidate quality, and closing strategies.
Deliver an inclusive, transparent, and well-managed candidate experience, supporting teams with structured interviewing, timely feedback, and consistent decision-making.
Use recruitment data and market intelligence to monitor progress, identify risks and bottlenecks, and shape effective hiring strategies.
Collaborate with colleagues across Talent Acquisition, People, Finance, and Fleet Operations on workforce planning, employer branding, and improvements to hiring processes.
🧩 What you’ll be working on:
Driving high-impact hiring for Fleet Operations teams, including specialized and leadership roles across multiple sites.
Innovating scalable sourcing and direct outreach approaches tailored for operational and technical profiles.
Shaping hiring processes and partnerships that are both candidate-centric and aligned with evolving business priorities.
Providing actionable insights based on recruitment data and market intelligence to optimize team building and hiring success.
Contributing to workforce planning, talent programs, and recruitment marketing to strengthen Wayve’s employer brand.
🙌 You should apply if:
You have demonstrated success independently delivering full-cycle recruitment within a fast-paced or scaling organization.
You have experience recruiting across a broad range of roles, including high-volume, professional, or manager-level positions.
You have the confidence and judgment to advise senior stakeholders, challenge assumptions, and translate business needs into effective hiring strategies.
You have strong direct-sourcing skills and experience using multiple attraction channels.
You are hands-on, adaptable, highly organized, and able to balance competing priorities with strong attention to detail.
You are comfortable using applicant tracking systems, recruitment data, and market insights to inform decisions and communicate progress.
(Desirable) You have experience recruiting within fleet operations, automotive, logistics, manufacturing, field operations, mobility, customer operations, or another high-volume operational environment.
(Desirable) You have experience supporting hiring across multiple locations, working with globally distributed stakeholders, or have familiarity with Ashby or similar ATS.
(Desirable) You have experience designing or improving volume-hiring campaigns, recruitment events, or structured assessment processes.
(Desirable) You thrive in a startup environment where priorities and processes continue to evolve.
🌱 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.
This is a full-time, permanent role based in Sunnyvale, California. Wayve operates a hybrid working policy: a minimum of two days each week in the office, with the balance flexible for remote work. Our approach supports innovation, collaboration, and individual productivity.
The reasonably estimated salary for this role is $130,000 to $150,000, plus a competitive equity package. Actual compensation is based on candidate skills, qualifications, and experience.
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 (2 hours total)
Deep-dive technical interviews (2 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 dependent):
💰 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.
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.
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 Fleet Operations Team
Our Fleet Operations Team is responsible for 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. The team keeps our fleet in peak condition to support testing, demonstrations, and real-world deployment, working closely with engineering, drivers, and operations teams to keep autonomy moving forward, every single day.
🧠 Your day-to-day
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.
🧩 What you'll be working on
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.
🙌 You should apply if
Essential:
You hold a Japan Driver's License.
You speak both Japanese (N2 or above) and English (fluency is a must).
You have strong technical expertise — a solid understanding of vehicle diagnostics, software and hardware fault triage, and repair processes. Experience in fleet operations, automotive systems, or ADAS technology is a plus.
You can troubleshoot and resolve technical issues quickly, meeting strict SLAs (5-minute response time) to keep vehicles operational.
You communicate and collaborate well — capable of working closely with global teams, providing clear technical updates, and ensuring smooth handovers across locations.
You have a deep understanding of safety protocols, incident management, and adherence to operational procedures to ensure secure and effective repairs.
You're adaptable and flexible, comfortable in a fast-paced, evolving environment, including on-call rotations and weekend coverage as needed.
You're familiar with diagnostic tools, software monitoring platforms (e.g., Datadog, Mender), and ticketing systems like JIRA.
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.
A 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.
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 or 13:00–22:00.
On-site at our office in Tokyo or Yokohama. Tokyo Ryutsu Center (Heiwajima) Office will be the main place of work, but you might be required to go to Yokohama office from time to time when there is a business need.
All applicants are required to disclose any second job as part of the application process.
All applications are subject to a health check before/after.
Employment is contingent on passing training, pre-employment checks and ongoing drug/alcohol testing, per our policy. You'll be tested for drugs and alcohol during your onsite interview.
🌱 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.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Recruiter Interview (30 mins, online)
Competency Interview (60 mins, online)
Deep-dive technical interview (60 mins, online)
Final interview: mission & values alignment (60 mins, online)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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
📚 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
🤝 Inclusive & Fair Recruitment
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 MEGA Team
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.
🧠 Your day-to-day
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.
🧩 What you’ll be working on:
Leading 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.
🙌 You should apply if you have:
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.
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interviews: programming and code review.
Deep-dive technical interviews: domain knowledge & system design.
Final interview: mission & values alignment.
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.
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.
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 The Role
Wayve is building the next generation of embodied AI for autonomous driving. As we move from developing our core technology to deploying it across multiple vehicle platforms, OEM programmes and Robotaxi applications, the complexity of our software systems is growing significantly.
We’re looking for a Distinguished Software Architect to help define how our software architecture evolves through this next phase of scale.
This is a highly cross-functional individual contributor role operating at the intersection of AI, robotics and large-scale software systems. You’ll work across our onboard software, AI, simulation, training and inference, product engineering and Robotaxi teams, helping ensure that the systems we build today can scale across the products, hardware platforms and physical environments we need tomorrow.
You’ll work alongside some of Wayve’s most senior technical and engineering leaders on architectural decisions that cut across the entire technology stack, from AI models and compute through to the software running on physical vehicles.
🧠 Your day-to-day
You’ll operate across engineering organisations rather than within a single team, developing a deep understanding of how our AI, software and physical systems fit together and where architectural decisions in one area impact another.
You’ll work closely with senior engineers and engineering leaders to identify architectural challenges, shape technical direction and lead major changes that span multiple teams.
You’ll act as a trusted technical partner on some of our hardest engineering decisions, helping teams navigate trade-offs between immediate delivery needs and the long-term health and scalability of the overall system.
A significant part of the role will be leading through technical credibility and influence, creating alignment across teams and helping raise the bar for software design and engineering practices across Wayve.
🧩 What you’ll be working on
Defining architectural direction across Wayve’s software ecosystem as we scale our AI Driver across an increasing number of vehicle platforms and products.
Creating clear software boundaries, interfaces and abstractions across AI, compute and vehicle systems, allowing teams to develop quickly without introducing unnecessary fragmentation.
Leading large architectural changes that span multiple engineering organisations.
Improving how software is developed, integrated, tested and deployed across different hardware and vehicle platforms.
Working across onboard software, computer vision, AI, simulation, training and inference, product engineering and Robotaxi systems.
Helping shape the development platforms and engineering systems that underpin how Wayve builds and deploys physical AI at scale.
Partnering with teams working with OEMs and Tier 1 suppliers to ensure our architecture can support different production environments, hardware configurations and integrations.
Acting as a technical decision-maker and tiebreaker on complex architectural decisions.
Helping establish a strong engineering and design culture for building large-scale, safety-critical AI and robotics systems.
🙌 You should apply if
You’ve operated as a Principal, Distinguished or equivalent senior individual contributor and have shaped the architecture of large, complex software systems.
You have a track record of leading significant technical or architectural change across multiple teams or engineering organisations.
You’re an exceptional systems thinker who can understand a broad technical landscape while still going deep where necessary.
You have experience building systems in computer vision, robotics, physical AI or another domain where sophisticated software and AI interact with the physical world.
You understand the architectural challenges that emerge when AI models, software, compute and hardware need to operate together as a reliable production system.
You’ve built or evolved software platforms that needed to operate reliably across significant scale and complexity.
You’re comfortable making difficult technical trade-offs and can distinguish between what is right for an individual team and what is right for the broader system.
You can influence senior engineers and engineering leaders through technical credibility rather than organisational authority.
You care deeply about software design, engineering quality and creating systems that enable other engineers to move faster.
You can enter unfamiliar technical domains, learn quickly and develop strong technical judgment.
You combine architectural thinking with a strong bias towards execution and turning technical direction into real engineering change.
Experience in autonomous driving, robotics or automotive systems can be valuable, but isn’t essential. We’re particularly interested in people who have solved complex software architecture problems at significant scale and can bring that experience into a new technical domain.
🌱 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.
What’s in it for you:
💰 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.
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.
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 Program Management team turns complex technical goals into coordinated delivery. Working closely with engineering, research and product teams, we align priorities, manage dependencies and bring clarity to ambiguous challenges. We combine technical depth with cross-functional leadership to help teams move faster, more effectively and with purpose—focusing on meaningful outcomes rather than process for its own sake.
As part of this team, you’ll build and lead the technical programme management function supporting our AI Platform organisation. AI Platform builds the data and compute infrastructure, model-development workflow tooling, training technology, compute management, and embedded and inference optimisation that enable Wayve’s models to be trained, iterated and deployed onto the vehicle.
The systems this organisation delivers determine how quickly Wayve can develop and ship models, how efficiently we use compute, and how well our models perform in training and on the vehicle.
🧠 Your day-to-day
Build, coach and support a small, high-impact TPM team, helping people develop their skills, work through challenges and raise the standard of programme delivery.
Act as a trusted delivery partner to AI Platform and Engineering leadership, aligning priorities, challenging trade-offs and holding teams accountable for meaningful outcomes.
Work across ML and research, infrastructure, embedded and on-vehicle engineering teams, as well as cloud and vendor partners, to manage dependencies, surface risks and remove blockers.
Use KPIs, dashboards and operational reviews to understand delivery progress, identify bottlenecks and steer decisions with the right data.
Represent AI Platform in company-level reviews, communicating progress, risks and decisions clearly while connecting delivery to business impact.
🧩 What you’ll be working on:
Building and scaling the technical programme management function for AI Platform, hiring to fill capability gaps and growing a high-performing team.
Owning planning, prioritisation and execution across the AI Platform roadmap in partnership with engineering leadership.
Leading flagship programmes across data and compute infrastructure, developer tooling, training technology, compute management, model-development workflows, and embedded and inference optimisation.
Establishing scalable planning cadences, governance, escalation paths and operational practices that bring structure without slowing delivery.
Driving measurable improvements in developer velocity, compute efficiency and cost, training and inference performance, and platform reliability.
Helping engineering leaders deliver high-leverage outcomes, balancing technical trade-offs and ensuring commitments translate into impact.
🙌 You should apply if:
You bring 8+ years of hands-on technical programme management experience across platform, infrastructure, compute, ML infrastructure, developer tooling, training or inference systems. You have built or scaled a programme function, led people and processes, and get things done with ownership and a bias for action.
You build, coach and grow high-performing teams. You know how to develop people, hire to strengthen the team and raise the bar on technical programme management.
You have strong technical depth across ML infrastructure, compute and embedded systems. You can engage credibly with platform and systems engineers without being expected to write production code. Your experience includes:
A strong understanding of machine learning, GPUs, and training and inference for models from 500M to 20B+ parameters, including the compute and orchestration that support them.
Embedded or on-vehicle systems experience, including inference optimisation, deploying models to constrained edge compute, and hardware-software trade-offs.
Familiarity with compute management, ML platform tooling and model-development or experiment workflows, using technologies such as Kubernetes, Ray, Flyte, Docker, Azure and Python.
Proficiency with AI agents and coding assistants such as Cursor, Claude or Codex to accelerate execution.
You stay objective under pressure and adapt your approach in ambiguous, fast-moving environments. You bring structure and clarity without creating unnecessary process or slowing delivery.
You think in systems, understanding how the parts of a complex platform stack fit together and how changes in one area affect others.
You’re product-minded, focusing on the people your programmes serve, prioritising by impact and defining what good looks like—not just tracking activity.
You align and influence across ML and research, infrastructure, embedded and engineering teams without relying on formal authority.
You connect technical investment to measurable outcomes, including developer velocity, compute efficiency, cost and model performance, and communicate direction and progress clearly using the right metrics.
You’re open to feedback and continuously improve how you and your team work.
Ideally, you have worked with a large-scale ML or compute platform used by hundreds of engineers and researchers.
Experience with embedded or edge inference, on-device model optimisation, hardware-aware ML, autonomous vehicles, robotics or another large-scale ML and infrastructure environment would be valuable.
An engineering or computer science degree, or experience working as an engineer, would be a plus.
🌱 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 minutes)
Competency Interviews (TPM process, Cross-functional; 1 hour 45 minutes total)
Deep-dive technical interviews (Program Design, Leadership & Management; 1 hour 45 minutes total)
Final interview: mission & values alignment (30 minutes).
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.
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.
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 Robotics Team
The Robotics team is responsible for bridging the gap from our model to our vehicle platforms, in order to let the model focus on making driving decisions. We aim to provide high quality data to the model for making such decisions, whilst abstracting away platform-specific aspects. We combine specialisms across the robotics domain, blending strong theoretical foundations with solid engineering practice to span the spectrum from research to production.
🧠 Your day-to-day
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
Own requirements, release readiness, and in-field performance and issue triage
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 (Ownership through the full lifecycle)
Define and track quality metrics (e.g., comfort, tracking error, and safety margin KPIs, and regressions against them)
Contribute to safety artefacts: provide evidence for safety cases, work with the safety team to ensure compliance with required standards
🧩 What you’ll be working on:
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.
🙌 You should apply if you have:
Strong fundamentals in control theory, with applied experience in one or more of optimization, model-predictive control, numerical methods or dynamical systems
Practical experience developing, tuning and validating motion control on complex real world physical systems (e.g., direct experience with mobile robotics and/or autonomous vehicles)
Experience with test and validation discipline: unit and integration tests, simulation regression suites, closed-loop metrics.
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 machine learning experience, or experience developing systems that integrate with ML components
Vehicle dynamics and actuation. Steering, braking and powertrain interfaces, actuator delay models, and CAN or similar vehicle bus experience
Experience in the automotive industry, including ADAS or vehicle controls
Experience with safety-critical systems, validation, and relevant industry standards (e.g. ISO 26262)
Experience with monitoring and diagnostics: Logging, fault detection, and on-platform debugging tools, ideally with experience investigating field issues
Experience across multiple platforms or vehicles. The team supports vehicle-to-vehicle variation, such as accounting for parameter identification, calibration, and keeping one software stack across hardware variants
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interviews: programming and code review.
Deep-dive technical interviews: domain knowledge & system design.
Final interview: mission & values alignment.
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.
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.
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 the role
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.
🧩 What you’ll be working on
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.
🙌 You should apply if
You bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges.
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.
Essential
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.
🌱 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:
This role is a full-time role based in Sunnyvale, CA or Detroit, MI (hybrid).
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 min
Competency Interviews 2 hours
Deep-dive technical interviews 2-3 hours
Final interview: 45 min
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.
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.
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 Product Team
Our Product team works at the intersection of AI research, engineering and customer needs to shape the future of autonomous driving at Wayve. We define product direction, translate complex technical capabilities into clear roadmaps, and bring cross-functional teams together to turn research into products that deliver real-world impact.
Working closely with engineers, researchers, programme managers and automotive partners, we balance long-term ambition with practical delivery. We combine technical depth with product judgement, listen carefully to our customers and teams, and create alignment around what to build, why it matters and how we’ll measure success.
🧠 Your day-to-day
Champion our customers, bringing a consumer mindset to complex technical decisions and keeping the user experience central to product definition, prioritisation and delivery.
Work closely with R&D, design, system architects, software developers, safety, validation and commercial teams to align priorities, resolve trade-offs and deliver safe and delightful customer experiences.
Support verification and validation activities, helping teams assess features against product requirements and the intended customer experience.
Act as the product lead in internal reviews and external engagements, aligning OEMs, operational partners and other stakeholders on product direction and delivery.
Stay current with global autonomous driving trends, regulatory developments and competitors, using these insights to inform product decisions.
🧩 What you’ll be working on:
Defining and owning the product roadmap for Level 4 autonomous driving features, aligning company strategy, customer needs and regulatory frameworks.
Taking full end-to-end ownership of key product initiatives, from concept definition through development, implementation, validation and deployment in production.
Translating Wayve’s AV2.0-based approach, particularly embodied AI and end-to-end learning, into scalable, reliable, market-ready features and capabilities.
Shaping how people interact with embodied AI, working at the intersection of consumer products and deep technology to make autonomous driving experiences user-centric.
🙌 You should apply if:
You have a proven track record in technical product management, shipping products with a consumer mindset in a highly technical domain.
You bring a strong technical background in AI/ML, software engineering, robotics or a related discipline.
You communicate clearly in writing and in conversation, with a demonstrated ability to work effectively across cross-functional teams.
You’re comfortable working in fast-paced, iterative environments and can adapt as priorities evolve.
You hold a bachelor’s or master’s degree in engineering, computer science or a related field.
Ideally, you’ve owned the end-to-end delivery of autonomous driving features, partnering with engineering, systems, safety and validation teams.
An understanding of human-machine interaction (HMI), user experience (UX) or the broader robotaxi product would be valuable.
Knowledge of generative AI techniques, large language models (LLMs) or Software 2.0 methods applied to autonomous driving or large-scale simulation would also be a plus.
An analytical, data-driven approach to product decisions would be valuable.
🌱 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 minutes)
Competency Interviews (Hiring manager; 30 minutes)
Deep-dive technical interviews (Product sense, Data & Metrics, System Design, Ridehail Business interview; 4 hours)
Final interview: mission & values alignment (45 minutes)
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
✅ 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.
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.
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 Driving Product Team
The Driving team owns Wayve's core end-to-end driving model, which directly shapes how our vehicles behave on the road. We take the backbone models and build the driving heads on top, and ship them into vehicles. That makes us the team closest to production. Our work is central to Wayve's Robotaxi launches around the world, so it ties directly to our near-term commercial milestones. We iterate fast: we find the top issues we see on the road, find their root causes, and fix them through data, model and evaluation changes. We work closely with other teams to solve issues that span the model and the vehicle.
🧠 Your day-to-day
Lead a small team (up to five people) iterating on Robotaxi driving performance, balancing hands-on technical work with people leadership
Diagnose the highest-impact issues seen on the road, find their root causes and resolve them through data and model iteration
Own changes to data recipes, model architecture, evaluation and release readiness for the driving model
Partner with other teams to resolve cross-functional issues, including model and vehicle interface problems
Be one of the team's key hands-on developers, writing code and running experiments while setting the team's priorities
🧩 What you’ll be working on
The end-to-end driving model that powers Wayve's Robotaxi product as it launches around the world
Scaling driving performance across cities and vehicle platforms while hitting performance and compliance KPIs
Data-led iteration: using on-road and off-road evaluation to find the biggest performance gaps and close them
Working with specialists across the business to resolve model and vehicle interface issues
Growing and shaping a small, high-impact team as the Robotaxi programme scales
🙌 You should apply if
Essential
You've managed engineers before and want to lead a team while staying deeply technical. This is a Tech Lead Manager role, not a pure management role
You're highly technical and hands-on: comfortable writing Python and doing model and data iteration yourself, not just directing others
You've delivered deployed, production ML models, or productionized ML at another company and improved a live system step by step over time
Your experience is focused on production rather than mainly on research or early-stage exploration
Desirable
You've shipped and iterated on ML for robotics, autonomous vehicles or other embodied AI
You've worked on end-to-end driving models or large-scale model training
🌱 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 [Technical Leadership, Hiring Manager meeting, Applied ML; 3 hours total]
Final interview: mission & values alignment [Head / VP meeting; 45 minutes].
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.
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.
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 Robotics Team
The Robotics team is responsible for bridging the gap from our model to our vehicle platforms, in order to let the model focus on making driving decisions. We aim to provide high quality data to the model for making such decisions, whilst abstracting away platform-specific aspects.
🧠 Your day-to-day
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.
🧩 What you’ll be working on:
Leading 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.
🙌 You should apply if you have:
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.
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interviews: programming and code review.
Deep-dive technical interviews: domain knowledge & system design.
Final interview: mission & values alignment.
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.
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.
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 Driving Product Team
The Driving Product team owns Wayve's core end to end driving model, the algorithm that directly shapes how our vehicles behave on the road. This model already underpins production agreements with Nissan and Mercedes, with further OEM partnerships in the works, so the team's output is tied directly to Wayve's near term commercial milestones. The team is highly iterative: it looks at the top issues we see on the road, root causes them, and drives them out through data, model and evaluation changes, working closely with other teams across the business to resolve issues that span the model and vehicle interface.
🧠 Your day-to-day
Lead the team iterating on L2 driving performance, balancing hands-on technical work with team leadership
Diagnose the highest impact issues seen on the road, root cause them, and resolve them through data and model iteration
Own changes to data recipes, model architecture, evaluation and release readiness for the driving model
Partner with other teams to resolve cross-functional issues, including model and vehicle interface problems
Act as one of the team's key hands-on developers, writing code and running experiments alongside directing the team's priorities
🧩 What you'll be working on:
The end to end driving model that powers Wayve's L2 product and sits at the centre of our OEM partnerships with Nissan and Mercedes, with further partners in the pipeline
Scaling the driving model's performance across different geographies and vehicle platforms while hitting performance and compliance KPIs
Data led iteration cycles: using on road and off road evaluation to identify the biggest performance gaps and close them
Cross-functional resolution of model and vehicle interface issues, working with specialists across the business
Growing and shaping a small, high impact team (initially up to five people) as the driving model programme scales
👤 You should apply if:
You're highly technical and hands-on, comfortable writing Python and doing model and data iteration yourself, not just directing others
You've delivered deployed, production ML models, ideally in robotics or autonomous vehicles, with experience shipping and iterating on ML for embodied AI applications
Alternatively, you've productionised ML models at another company and have experience delivering incremental improvements to a live system over time
Your experience is production focused rather than primarily research or early stage exploration
You want to keep doing deeply technical work, whether or not you've managed people before. We're looking for strong ICs or tech leads just as much as experienced managers, and are happy to ease the right person into managing a small team
🌱 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 (20 mins)
Competency technical interviews (programming and system design; 2 hours)
Deep-dive interviews (domain and technical leadership; 2 hours)
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 dependent):
💰 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 partner discounts 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.
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.
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. There are four divisions within Autonomy:
Core AV Technology – Foundation model, model architecture, learning foundations.
Robotics Technology – Sensing, control, vehicle adaptability technology.
Product Engineering – This role – NoA, active safety, parking product development.
Release – Coordinate and automate software + model releases to application teams.
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 (50+ permanent employees) 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.
🌱 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.
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.
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.
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 Robotics Team
The Robotics team is responsible for bridging the gap from our model to our vehicle platforms, in order to let the model focus on making driving decisions. We aim to provide high quality data to the model for making such decisions, whilst abstracting away platform-specific aspects. We combine specialisms across the robotics domain, blending strong theoretical foundations with solid engineering practice to span the spectrum from research to production.
🧠 Your day-to-day
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.
🧩 What you’ll be working on:
Leading 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.
🙌 You should apply if you have:
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.
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interviews: programming and code review.
Deep-dive technical interviews: domain knowledge & system design.
Final interview: mission & values alignment.
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.
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.
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 Robotics Team
The Robotics team is responsible for bridging the gap from our model to our vehicle platforms, in order to let the model focus on making driving decisions. We aim to provide high quality data to the model for making such decisions, whilst abstracting away platform-specific aspects. We combine specialisms across the robotics domain, blending strong theoretical foundations with solid engineering practice to span the spectrum from research to production.
🧠 Your day-to-day
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.
🧩 What you’ll be working on:
Leading 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.
🙌 You should apply if you have:
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.
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interviews: programming and code review.
Deep-dive technical interviews: domain knowledge & system design.
Final interview: mission & values alignment.
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.
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.
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 Fleet Operations Team
Our Fleet Operations Team is responsible for 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. The team keeps our fleet in peak condition to support testing, demonstrations, and real-world deployment, working closely with engineering, drivers, and operations teams to keep autonomy moving forward, every single day.
🧠 Your day-to-day
Shift Leads are frontline operational leaders responsible for the safe, efficient, and high-performing execution of Wayve’s autonomous driving operations in Japan. You’ll ensure daily operations are conducted with the highest levels of safety and efficiency, and 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’ll 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 for on-road testing and development: one in Yokohama and one at Tokyo Ryutsu Centre, near Haneda Airport. This role will be mainly based in Tokyo Ryutsu Center, with occasional visits to Yokohama, offering exposure to a wide range of testing and operational activities.
This is a dedicated shift role with two shifts: morning (06:30–15:30) and night (14:30–23:30). We’ll do our best to accommodate your shift preferences, but we can’t always guarantee your first choice. Flexibility outside standard hours may occasionally be required to support testing activities, customer operations, or critical operational events. As Wayve scales in Japan, the role offers a pathway into broader operations, program management, and leadership responsibilities.
Operations run 7 days a week, so depending on your shift, you may need to work weekends and holidays. To compensate, we provide additional special paid leave for employees on the shift schedule.
🧩 What you’ll be working on
You’ll lead a team of 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, working closely with Fleet Management, Quality Assurance, and Office Management.
Operational management: Own shift execution across active fleet operations, coordinating people, vehicles, schedules, and priorities in real time, including managing work schedules, assigning tasks, and monitoring performance against company standards and goals.
Performance management: Line manage a group of VSOs working across a rostered shift pattern, with face-to-face, documented contact with each member at least monthly.
Customer engagement: Act as an operational point of contact for selected OEM and partner activities, ensuring smooth execution and professional stakeholder coordination.
Safety and compliance: Ensure all operations comply with company policies and legal regulations, and 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: Be the initial point of contact for an on-road incident and initial “Operations Officer” under 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.
🙌 You should apply if
Essential:
You’re fluent in English and Japanese.
You stay calm, decisive, and professional in fast-paced operational environments, with sound judgement under high pressure.
You’re open to feedback and continuously seek to improve your performance and leadership skills.
You enjoy working with people and thrive in a team environment.
You have proven experience as a team coordinator or similar role in fast-moving environments (mobility, logistics, transportation, aviation, hospitality, field operations, etc.).
You have strong communication and stakeholder management skills across frontline teams and cross-functional partners.
You can work under pressure and manage multiple priorities, with excellent problem-solving skills and attention to detail.
You’re proficient in Google Workspace or Microsoft Office.
Additional requirements:
All applicants are required to disclose any second job as part of the application process.
All applications are subject to a health check before/after.
Employment is contingent on passing training, pre-employment checks and ongoing drug/alcohol testing, in accordance with our policy.
🌱 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.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Recruiter interview (30 mins, online)
Competency interview with the hiring manager (60 mins, online)
Deep-dive interview (60 mins, presentation; exercise given in advance)
Final interview: mission and values alignment (60 mins, online)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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
📚 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
🤝 Inclusive & Fair Recruitment
Wayve is committed to providing a fair and respectful recruitment process for all candidates, free from harassment and discrimination. The Company has zero tolerance for sexual harassment against job applicants or similar individuals.
All communications relating to recruitment activities are conducted through the Company's recruitment system or using an email address with the Company's domain. Employees do not use their personal email addresses or social media accounts for recruitment-related communications.
Employees do not engage in private communications unrelated to recruitment activities, invite applicants to private meals, request or seek a personal or romantic relationship, or otherwise initiate private contact with applicants.
Sexual remarks or conduct, physical contact, questions concerning sexual matters, and any other conduct constituting harassment are prohibited.
If you have any concerns, you can contact our consultation desk at peoplepartners@wayve.ai. All consultations are treated with strict confidentiality, your privacy will be protected, and no one will be subject to any disadvantageous treatment for raising a concern or cooperating with an inquiry.
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.
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.
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 the role
As a Staff Software Engineer on the Model Development Platform, you'll own the architecture of the cloud services that power Wayve's AI model lifecycle, from data and training workflows to experiment scheduling, evaluation and on-road testing. You'll build the secure, reliable and scalable foundations (identity and access, microservices, micro-frontends, deployment and rollback) that let researchers and engineers iterate fast and ship autonomous driving models safely.
🧠 Your day-to-day
Working with the Head of Model Dev Platform and fellow technical leads, you'll shape the technical direction for your area and align platform engineering with company goals. You'll lead by example: staying hands-on across backend services, web applications and cloud infrastructure, and raising the bar through design reviews and mentorship.
🧩 What you’ll own
Scalable, reliable cloud services: Design and evolve the architecture of major platform services for reliability, observability, security and scalability. Help set availability, latency and performance targets (SLAs/SLOs) and drive the practices to meet them.
Authentication & authorization: Own the identity, access control and auditability layer across platform services and applications, so access to sensitive models and fleet data is secure, consistent and easy to adopt.
Microservices & micro-frontends: Define the patterns, boundaries and shared tooling for backend microservices and micro-frontends, so teams can build and release independently while systems interoperate cleanly.
Deployment & rollback infrastructure: Build robust CI/CD, progressive delivery and fast, safe rollback, with the observability, alerting and self-healing needed to ship often and recover quickly.
End-to-end technical ownership: Take significant services and multi-quarter initiatives from problem definition and design through to production operation, making clear trade-offs between speed, scalability, security and operational simplicity.
Cross-team technical leadership: Connect your area with adjacent disciplines, from experiment scheduling and data pipelines to distributed compute, and lead design reviews that establish reusable patterns.
Hands-on problem solving: Tackle the hardest technical challenges in your subteams with pragmatic solutions that balance innovation and operational simplicity.
Strategic collaboration: Partner with Product, Research, Design and Operations to align technical solutions with user needs and contribute to the platform's long-term roadmap.
🙌 You should apply if
Technical leadership: 7+ years designing and building large-scale distributed systems, cloud platforms or developer platforms, including at senior or staff level.
Cloud services & architecture: Proven ability to design and operate scalable microservice architectures on a major cloud provider, with strong grounding in API design, data modeling, asynchronous workflows and distributed-systems fundamentals.
Security & access control: Hands-on experience implementing authentication and authorization (e.g. OAuth2/OIDC, RBAC) with sound security practices.
Reliability & delivery: Experience driving reliability improvements, defining SLAs/SLOs, and building observable, self-healing, highly available systems. Experience with CI/CD, containerization and orchestration (e.g. Kubernetes), infrastructure as code, and safe release and rollback strategies.
Hands-on engineering: Ability to write and review production-quality code in languages such as Python or TypeScript, with a good understanding of modern web architectures including React and micro-frontends.
End-to-end ownership: A track record of taking significant services from design through deployment and production operation.
Collaborative influence & mentorship: Excellent communication and cross-functional skills, with a track record of mentoring engineers through design discussions, code reviews and pairing, and of fostering a culture of engineering excellence.
Nice to have:
Experience building internal developer platforms, workflow systems or tools for ML researchers and engineers.
Familiarity with ML operations, such as training, evaluation, experiment tracking and artifact management.
Experience with data pipelines, distributed job orchestration, event-driven architectures or large-scale compute (e.g. Spark, Ray, Airflow, MLflow).
Experience with service mesh, API gateways, or feature-flagging and progressive-delivery tooling.
Knowledge of privacy, compliance and secure handling of sensitive or large-scale data.
Experience in autonomous systems, robotics, simulation or another safety-critical domain.🛠️ About our Engineering Teams
The Model Development Platform team builds the infrastructure and tooling behind Wayve’s AI model lifecycle, from data ingestion and training to experiment scheduling and on-road testing. Our work spans AI research, large-scale distributed systems and robotic operations, and lets researchers and engineers iterate fast and deploy autonomous driving models safely.
🌱 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
HM meeting
Deep-dive technical interviews [programming, system design & domain-specific interviews; 4 hours total]
Final interview: mission & values alignment
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.
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.
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 Field Engineering Team
Our Field Engineering team is the operational backbone for Wayve, delivering hands-on technical support to keep our global fleet running smoothly. The team diagnoses and solves complex technical issues, supports mission-critical fleet operations, and serves as a vital communication link between in-country operations, engineering, and product teams. We are responsible for ensuring the safety, reliability, and operational excellence of our vehicles, collaborating closely with both internal and external stakeholders.
🧠 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. You 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, you’ll contribute to seamless operations through effective communication and problem-solving. As part of a newly established function within Fleet Operations, you’ll 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
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.
Additional Details:
This is a full-time, shift-based 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.
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: Competencies, motivation, communication, practical problem solving; 1 hour total
Deep-dive Technical Interview: Technical depth for diagnosis/triage, structured debugging, safety mindset; 1 hour 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 dependent):
💰 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.
📈 Meaningful equity, sharing in the ownership and long term success of Wayve
📚 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.
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.
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 is building embodied AI that can drive any vehicle, anywhere. Within Robot Software, the Platform Integration team brings together the software and interfaces that enable our AI Driver to operate on new development platforms.
The team owns early vehicle software integration, drive-by-wire and the vehicle facing software drivers. We work across software, hardware, controls and operations to bring up new vehicle variants, improve their reliability and establish repeatable processes for validation and handover.
🧠 Your day-to-day
You’ll develop the software that connects our AI Driver to a vehicle’s steering, braking and propulsion systems. This combines embedded software development with hands-on work on benches and vehicles, understanding how each platform behaves and making sure its drive-by-wire interface operates safely and reliably.
Develop and debug embedded software using MATLAB/Simulink, including flashing, configuration and calibration of vehicle controllers.
Work with OEMs and drive-by-wire suppliers to understand vehicle interfaces, define requirements and resolve integration issues.
Develop new drive-by-wire capabilities, including OTA updates, ADAS interfaces and HMI support.
Test changes in simulation, on benches and in vehicles, and build automated testing suites to validate functionality and catch regressions.
Investigate vehicle faults and unexpected behaviour using logs, telemetry and vehicle network traces.
Work with colleagues across software, hardware and controls, and help technicians diagnose drive-by-wire issues.
🧩 What you’ll be working on:
New vehicle bring-ups: Integrate steering, braking and propulsion interfaces, from initial bench testing through to vehicle validation and handover.
Drive-by-wire software: Develop actuation logic, state machines, driver override handling and fault responses.
ADAS and HMI interfaces: Support the vehicle interfaces needed for driver assistance features, driver inputs, status displays and alerts.
OTA updates: Develop and validate support for remotely updating drive-by-wire software and configuration, including version checks and recovery behaviour.
Vehicle characterisation: Measure actuator response, latency and operating limits, and work with controls engineers to establish the capabilities of each platform.
Testing and validation: Build automated test suites and simulation and hardware-in-the-loop tests that verify requirements, exercise fault conditions and support software releases.
Diagnostics and reliability: Build tools and monitoring that make faults easier to detect, reproduce and resolve.
🙌 You should apply if:
You have experience developing embedded software for automotive or robotics systems, including MATLAB/Simulink.
You’ve worked directly with embedded hardware or vehicle ECUs, including flashing, calibration and debugging.
You understand automotive engineering, including vehicle actuation systems and the interaction between software, controllers and hardware.
You understand CAN and CAN-FD, and have used tools such as CANoe or CANalyzer to analyse communication and diagnose issues.
You have knowledge of functional safety and experience applying it to software design, fault handling and validation.
You can define and document software and interface requirements, translate system and safety requirements into implementation, and maintain traceability through testing.
You can investigate problems across software and hardware, using measurements and testing to support your conclusions.
Experience with drive-by-wire systems, ADAS interfaces, HMI integration, automotive Ethernet, OTA updates or hardware-in-the-loop testing would be useful. C/C++ or Python experience would also help you contribute to supporting software and tooling.
🌱 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, generalize 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 recruiter screen — 25 mins
Competency Interviews — Programming and technical domain (2 hours)
Deep-dive technical interviews — Programming and hiring-manager/team fit (2 hours)
Final interview — Mission and values alignment (30 mins)
We’ll always explain the format and work around your availability.
What’s in it for you (Location dependent):
💰 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.
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.
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.
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 AI Platform Teams
Our AI Platform teams build the infrastructure that powers Wayve’s embodied AI. We store and serve hundreds of petabytes of driving data, growing towards exabyte scale, to support model training, simulation and data pipelines across regions and clouds.
As our first dedicated Staff Software Engineer for Storage Platform, you’ll set the technical direction for how we manage, protect and serve this data. Working closely with Infrastructure, Security, Privacy, Data Engineering and ML teams, you’ll help make training more efficient while reducing one of Wayve’s largest infrastructure costs.
🧠 Your day-to-day
Lead a hands-on, multi-quarter storage programme, from defining the problems and architecture to delivering platforms that teams adopt.
Build production services, controllers and infrastructure using Python, Go or a similar language, alongside Kubernetes and Terraform.
Partner with ML and data teams to understand access patterns, remove storage bottlenecks and reduce the time GPUs spend waiting for data.
Work with Security and Privacy to strengthen access controls, auditing and safe deletion of vehicle-collected data.
Write design documents and RFCs, align teams around shared standards, and mentor engineers as the platform and team grow.
🧩 What you’ll be working on
Data ownership and governance: Give datasets clear owners, purposes and retention classes, with tagging and team-level cost attribution.
Safe lifecycle management: Build retention, deletion and re-tiering capabilities for Azure Blob, backed by dry runs, audit trails and recovery paths.
Read performance and caching: Improve throughput and latency by tackling small-object reads, throttling, unnecessary data access and cross-region hops.
Secure data movement: Design Kubernetes-native NVMe caching and secure replication across regions and clouds.
Measurable platform outcomes: Establish standards, dashboards and SLOs for availability, performance, cache effectiveness, storage tiers and cost.
🙌 You should apply if
You’ve operated at Staff Engineer scope, leading complex infrastructure programmes across multiple teams from problem definition through adoption.
You’ve owned petabyte-scale object storage end to end—including data layout, lifecycle management, performance and cost—with measurable outcomes against a cost target.
You’ve built scalable systems for data ownership, tagging, cataloguing, retention or deletion.
You bring strong security and access-management experience, including IAM/RBAC, encryption, secure replication and auditing.
You’re a hands-on software engineer with strong Python, Go or comparable skills, plus production Kubernetes, Terraform and CI experience. You build durable platforms and services, not just one-off scripts.
You can influence technical decisions without formal authority, mentor others and are excited to start in a founding, hands-on role with the opportunity to grow a team.
You can work on a hybrid basis from our London office.
Experience with AWS or GCP is welcome—you don’t need to have worked exclusively with Azure.
🌱 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) - A conversation with our Talent Partner about your experience, interest in the role and practical details.
Competency Interviews (60 mins) - A programming interview to assess your hands-on software engineering skills.
Deep-dive technical interviews - A system design interview and a domain-specific interview with the Hiring Manager, exploring your storage experience, technical leadership and approach to the role.
Final interview (30 mins) - Mission & values alignment
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.
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.
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 AI Platform Team
Our AI Platform teams build the foundations that enable Wayve’s machine learning engineers and researchers to train, evaluate and deploy models at scale. Within the AI Libraries team, you’ll create high-quality platforms, tools and reusable abstractions that support thousands of GPUs and help accelerate the development of our autonomous-driving technology.
🧠 Your day-to-day
You’ll work closely with machine learning teams to understand their workflows and turn complex requirements into stable, scalable and intuitive software. You’ll spend much of your time designing and writing Python, leading projects from discovery through delivery, improving engineering standards and supporting users as they push the scale and performance of their models.
🧩 What you’ll be working on
You’ll build modular libraries for areas such as multimodal data loading, distributed training and inference, checkpointing and observability. You’ll improve the reliability, performance and developer experience of systems used across Wayve, helping teams train models efficiently on large GPU clusters and work with camera, radar, lidar and other data sources.
🙌 You should apply if
You have deep Python expertise and a proven track record of leading the design, delivery and long-term evolution of high-quality software systems at scale. You can turn complex requirements across ML teams into stable, reusable libraries and clear APIs, set technical direction, and raise the bar for software architecture, testing and observability. You remain hands-on while guiding other engineers and driving projects end to end, from shaping requirements through to adoption and maintenance. Experience with concurrent, parallel or distributed computing is important; familiarity with ML frameworks such as PyTorch or TensorFlow and cloud environments—ideally Azure—is highly valuable. This is a Staff-level software and platform engineering role, not an ML modelling position.
🌱 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:
Recruiter screen
Competency Interviews
Deep-dive technical interviews
Final interview
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.
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.
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 Simulation Teams
Simulation is a mission-critical part of how we build Wayve's driving intelligence. It lets teams evaluate changes faster, investigate failures and build confidence in the driving stack before it reaches the road.
Wayve's end-to-end driving stack creates a distinctive simulation challenge. There are no intermediate stages where simulated signals can be injected, so simulation has to be end to end too: reproducing the behaviour of a learned driving system across sensor data, model inference, routing, control and vehicle dynamics. Our simulator needs to be realistic enough to give meaningful signal, reproducible enough for teams to trust the results, and descriptive enough to explain the differences between simulated and on-road behaviour.
You'll join the Core Simulation team. Our open-loop and closed-loop workflows share one codebase, with different components configured depending on the use case. You'll start with the team focused on high-scale open-loop evaluation, while contributing to shared components that also underpin GAIA-powered closed-loop simulation, where generative world models are integrated with the driving stack. Your role is to enable and productionise these capabilities, not primarily to train the models.
🧠 Your day-to-day
Work hands-on in our shared, modern C++ and Python simulation codebase
Implement scoped features and integrate driving-stack components, simulated robot systems and new vehicle-platform capabilities
Support and test different simulation configurations, with an initial focus on high-scale open-loop evaluation
Investigate differences between on-road and simulated execution, tracing issues across component interfaces, data flows, timing and configuration
Improve automated testing, observability, reproducibility, reliability and developer tooling
Profile simulator workloads and contribute performance and scalability improvements
Collaborate with Simulation, Robotics, Autonomy, Evaluation, Platform and Data teams to clarify requirements and resolve integration issues
🧩 What you’ll be working on
Developing and maintaining production-quality components in Wayve's simulation system using modern C++ and Python
Integrating driving-stack components, simulated robot systems and new vehicle platforms into the shared simulation environment
Making sure components interact correctly across the simulation workflows they support
Finding the root cause of on-road vs. simulation differences across data, inference and simulated components
Making simulation more reproducible, reliable and debuggable, and faster, so we can run ever larger evaluation workloads efficiently
Contributing to technical designs and helping evolve the quality and maintainability of the codebase
🙌 You should apply if
You have professional experience developing, delivering and maintaining production software in a collaborative engineering environment
You have strong software development skills in C++ and Python, with depth in at least one and the ability to work effectively in the other (equal expertise in both isn't required)
You have experience integrating and debugging components in a complex software system, reasoning across interfaces, data flows, timing and failure modes
You have relevant experience in simulation (robotics or AV), ideally at the integration level, or in another complex systems domain with clearly transferable challenges
You have experience integrating and working with ML components (e.g. PyTorch models, CUDA, QNN)
You have strong software engineering fundamentals: testing, maintainability, code review, observability and pragmatic design
You understand software performance issues and use profiling or measurement to guide improvements
You use GenAI development tools (coding assistants or agents) to boost productivity, while carefully reviewing, testing and validating their output
You communicate and collaborate well, deliver scoped work independently and raise blockers early
Nice to have:
Experience with middleware or integrating components across complex software systems
Experience with sensor data such as camera, radar, lidar or GNSS, including modelling uncertainty or noise
Experience with performance profiling, observability or debugging distributed systems
Familiarity with large-scale batch processing, cloud infrastructure or GPU-based workloads
Exposure to world models, NeRF, Gaussian splatting or learned graphics
🌱 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 hiring manager interview; 2 hours total
Deep-dive technical interviews : Programming, systems & domain-specific interviews; 3 hours total
Final interview: Mission & values alignment (45 mins).
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.
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.
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
Robot Software builds the on-vehicle software platform that Wayve’s AI Driver runs on. Within it, the Experiment Platform team owns the systems that let our researchers develop driving models on the road: deploying models to vehicles, running experiments, and collecting the data that trains the next model.
The team builds a portable development platform that connects to partner vehicles and brings Wayve’s model development capabilities to them, including data collection, experiment control, telemetry and over-the-air updates. It is used across our own fleet and on pre-production vehicles with OEM partners in Europe and Japan, and is central to how Wayve adapts its AI Driver to new vehicles. You will lead a team of engineers based in London, working alongside the Runtime Platform, OS, Sensors and Platform Integration teams in Robot Software.
🧠 Your day-to-day
You will lead the team’s people, plans and partnerships. Most of your time goes to your engineers: regular 1:1s, clear expectations, feedback, performance and promotion cycles, and helping technical leads take on more scope. You will work with your tech leads on technical decisions, own the outcomes, and make sure the team responds well when issues come up in the field. You will maintain the team’s mission, charter and twelve-month roadmap, turn them into quarterly and six-week plans, and keep delivery on track.
You will be the team’s main point of contact for partner engineering teams, programme managers, operations and OEM customers, and you will make it clear what the team owns.
You will stay technically capable and aware of the team’s work across the codebase. You will monitor the architecture, guide the team through technical blockers when needed, and engage with technical leaders in other teams at a technical level.
🧩 What you’ll be working on:
Growing the platform: Take the development platform from its first stable release to a product used across many vehicle types, with predictable releases and validation in CI and on HIL benches.
Experiment control and fleet orchestration: Own model and controller download, the robot state machine, and over-the-air deployment of software, configuration and calibration.
Self-serve experimentation: Make the platform self-serve, so research teams can run their own experiments on vehicles without waiting for platform changes.
Scaling data collection: Onboard and event-based logging, data quality, and data offload over
New vehicles and OEM integrations: Deploy the full platform on Wayve’s next-generation vehicles, and support new OEM integrations through configuration rather than new releases.
Building the operating model around the platform: Releases, support rota, on-call, metrics and observability.
Building the team: Own hiring and onboarding, and grow the team as adoption of the platform expands.
🙌 You should apply if:
You have managed software engineering teams, including hiring, coaching and performance management.
You have owned a platform or product that other teams or customers relied on, and shipped it to devices in the field.
You are technically capable, with hands-on experience in embedded Linux systems software (C++ or Python), and stay close enough to the code to review your team’s work, guide architecture and help resolve technical blockers.
You understand connected device fleets, such as vehicles, robots or IoT, including data logging and offload, over-the-air updates and observability.
You are comfortable leading delivery across many stakeholders, including external partners, and can engage with other technical leaders as a technical peer.
You care about operational reliability and release quality.
Experience with autonomous vehicles or robotics, automotive ECUs (for example NVIDIA Jetson or DRIVE, QNX), Yocto, IPC middleware such as ROS 2 or DDS, or containerised workloads on embedded systems is desirable.
🌱 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. This role is based in our London office.
🔍 The Interview Process:
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 mins)
Competency Interviews: leadership and management interview, and hiring manager interview; 2 hours total
Deep-dive interviews: domain, systems design and code review interviews; 3 hours total
Final interview: values alignment (30-45 mins)
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.
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.
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 Datasets Team
Wayve’s Datasets team own the driving data that our AI Driver learns from, covering ingestion, annotation (automatic and manual), retrieval and data quality. Our data is growing from hundreds of petabytes towards exabyte scale, and not all of it is equally valuable for training. This team decides what we keep and where, and builds the systems that make those decisions work in practice.
🧠 Your day-to-day
Implement and iterate filtering, retention and offload policies across hot, cold, archive and delete storage
Build the data movement and pipelines that our pre-ingestion selection model depends on
Decide where and how selection models run, balancing compute cost against data value
Build early, low-compute decision points that avoid expensive standardisation and enrichment of low-value data
Work with the storage and data infra teams, and monitor data quality to make sure our datasets reflect what model training needs
🧩 What you’ll be working on:
Turning our dataset strategy into working systems: moving, filtering, retaining and offloading driving data at hundreds of petabytes
The engineering behind our pre-ingestion selection mode(s)l: how data moves, where the model runs and how offload policies work
Delivering large, measurable storage-cost savings through early, low-compute decisions
Making sure our datasets contain the most useful behavioural and environmental coverage for training. This is as much a data quality challenge as a software engineering one
Working as a pair with our dataset strategy lead (who design and builds the models) and closely with the data infra team, shipping practical solutions quickly
👤 You should apply if:
You’re a senior data or software engineer who has run data ingestion or data quality pipelines at petabyte scale
You’re strong in Python and Spark, with cloud data engineering experience
You have good judgement on data filtering and quality, and know how to check you haven’t discarded valuable data
You ship practical solutions quickly and are comfortable iterating on live systems
You’re a software engineer at heart, building the systems around models rather than the models themselves
You enjoy working closely with data infra and storage teams
You bring experience in AV, robotics, fleet data or high-volume IoT, or with retention, offload and data lifecycle policies (a bonus rather than a requirement)
🌱 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)
Intro with the hiring manager (Find out more about the role, your exp etc; 1 hour)
Competency Interviews (System design and technical leadership; 2 hours)
Deep Dive (Domain Interview; 1 hour)
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 dependent):
💰 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 partner discounts 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.
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.
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.
Safety System Engineer
🛠️ About our Engineering Teams
At Wayve, we are developing AV2.0: an end-to-end AI driving system designed to learn and adapt across a wide range of driving environments, with the ambition to scale autonomy globally. Our Safety team tackles one of the most important and complex challenges in that mission - assuring the safety of our Automated Driving System (ADS) as it evolves across vehicle platforms, applications and operating environments. You will help design and orchestrate the safety assurance framework that makes this possible.
🧠 Your day-to-day
You will lead functional safety activities for Wayve's ADS and its integration into current and future vehicle platforms, as well as third-party safety-critical systems. Working closely with internal engineering teams, external partners and other safety experts, you will build a deep understanding of the system, assess risk, shape the safety concept and architecture, define verification and validation, and develop the evidence needed to support a robust safety case.
🧩 What you’ll be working on:
• Build and maintain Item Definition work products for each vehicle platform and safety-critical integration.
• Conduct HARAs, FMEAs and FTAs to identify risk and define safety concepts that reduce risk to an acceptable level.
• Work with design teams on system architectures that satisfy the safety concept, including decomposition decisions and derived software and external requirements.
• Support software teams in implementing safety requirements on target hardware.
• Define test specifications across integration levels, including vehicle-level verification and validation of the safety concept.
• Build structured safety cases using clear claims, arguments and evidence.
• Contribute to production safety work products and evolve safety processes with process and compliance teams for certification activities.
🙌 You should apply if:
• You have at least 5 years of hands-on automotive functional safety experience applying ISO 26262 across different systems, with strong working knowledge of Parts 3, 4, 5, 6, 8 and 9.
• You have conducted vehicle-level testing at proving grounds to verify and validate safety concepts.
• You are experienced in risk analysis and safety engineering techniques such as HARA, FMEA and FTA, and can translate findings into practical safety concepts, architectures and requirements.
• You can work effectively across software, hardware, systems and external partners, and are comfortable debating safety-related trade-offs at different levels of the organisation.
• You are pragmatic in balancing risk and benefit, especially in a fast-moving development environment, while maintaining high safety standards.
• You are a self-starter who can move between long-term, high-level safety thinking and detailed subsystem or application-level problem solving, and you are confident challenging ideas while remaining open to constructive feedback.
✨ Nice to have
• Practical experience with ISO 26262 Part 6, including production software development and software-tool qualification.
• Experience managing suppliers of safety-related hardware or software, including DIA definition, supplier audits and assessments.
• Experience developing safety cases for automated driving systems, including computer-vision-based systems, and enough knowledge of neural networks to discuss safety assurance approaches with scientists and engineers.
• Experience with SOTIF, including identifying triggering conditions and defining testing and validation strategies.
• Operational safety experience, including identifying operational risks and defining training or procedures for safe public-road testing.
🌱 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)
• Hiring manager and competency interview focused on your functional safety experience and approach
• Deep-dive technical interviews covering functional safety, system safety and domain-specific problem solving
• Final interview: mission & values alignment
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.
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.
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 is building embodied AI that can drive any vehicle, anywhere. Within Robot Software, the Platform Integration team brings together the software and interfaces that enable our AI Driver to operate on new development platforms.
The team owns early vehicle software integration, drive-by-wire and the vehicle-facing software drivers. We work across software, hardware, controls and operations to bring up new vehicle variants, improve their reliability and establish repeatable processes for validation and handover.
As a Staff Software Engineer, you’ll bring deep experience in software, hardware, robotics and autonomous vehicle integration. You’ll lead the team’s integration architecture, mentor engineers and help resolve its most complex technical challenges. You’ll work with the Engineering Manager on the technical roadmap and with other leads across Robot Software on system design and integration decisions, while staying hands-on with software development and vehicle bring-up.
🧠 Your day-to-day
Lead integration architecture and author design documents that define interfaces, evaluate trade-offs and guide implementation across vehicle programmes.
Partner with the Engineering Manager to shape the technical roadmap, balancing programme delivery with improvements to architecture, tooling and maintainability.
Unblock the most complex integration challenges, diagnosing problems across application software, middleware, operating systems, networks and hardware.
Mentor engineers through design discussions, code reviews and hands-on debugging, building the team’s technical judgement and independence.
Represent Platform Integration in technical discussions across Robot Software, aligning with other technical leads on interfaces, dependencies and ownership.
Develop and review production software, establishing patterns that reduce bespoke integration work and improve reuse.
Lead targeted bench, HiL and vehicle investigations where hands-on work is needed to resolve uncertainty or validate a design.
Turn lessons from bring-up and field issues into better diagnostics, integration practices, documentation and validation.
🧩 What you’ll be working on
Integration architecture for new vehicle programmes across embedded compute, sensors, vehicle interfaces, networks and software services.
Shared vehicle-facing components and abstractions that support multiple hardware configurations without duplicating integration logic.
System-level integration of Linux-based robotic and automotive platforms with multi-process and distributed architectures.
Sensor integration, calibration, synchronisation and data validation, working with the teams that own those capabilities.
Vehicle communication and control interfaces, including CAN, Automotive Ethernet and drive-by-wire systems.
Integration across automotive compute platforms such as NVIDIA DRIVE and Qualcomm Snapdragon Ride.
Bench, HiL and vehicle validation strategies that identify integration problems early and provide evidence of platform readiness.
Diagnostics and tooling that make complex robot systems easier to understand, debug and support.
🙌 You should apply if
You bring substantial experience integrating autonomous vehicles or similarly complex robotic systems, with deep practical understanding of how software, compute, sensors, networks and actuators interact.
You have led architecture and delivery for complex integration work, making sound technical decisions across software and hardware boundaries.
You have strong software-development skills in C++, Rust or comparable systems languages, and experience delivering production-quality software on Linux-based robotic, embedded or automotive platforms.
You can turn ambiguous requirements into clear designs, interfaces and implementation plans that other engineers can execute.
You have a track record of resolving difficult system-level problems through systematic investigation, on-target testing and a strong understanding of the underlying technology.
You understand ROS2 or similar middleware, distributed-system integration and the practical realities of vehicle bring-up.
You have raised the technical capability of a team through mentoring, design reviews and engineering standards.
You can influence technical decisions across teams and work with engineering management to connect architecture, delivery priorities and long-term investment.
Experience delivering integrations across multiple vehicle or compute platforms, working with OEMs or hardware suppliers, and developing reusable integration frameworks would be particularly valuable. Experience with drive-by-wire, HiL testing, functional safety and fleet reliability would also be useful.
🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and believe your experience would help us solve these challenges, 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 recruiter screen — 25 mins
Competency Interviews — Programming and technical domain interviews (2 hours)
Deep-dive technical interviews — Software design, technical teadership and hiring-manager/team fit interviews (3 hours)
Final interview: Mission & values alignment (45 mins)
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.
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.
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 Driving Product Teams
The Driving Product team builds the AI driver's core behaviours, taking models from data and training through evaluation and on-road validation, then shipping them into the car on timelines measured in months, not years. The team's work has direct impact on high-priority commercial deliveries, including Nissan production and Robotaxi, and spans the full spectrum from Level 2 to Level 4 driving. It's a small, high-ownership team at a point of rapid growth, blending ML research with shipping-focused engineering.
🧠 Your day-to-day
Develop the AI driver model architecture and training algorithms to introduce and enhance driving behaviours 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
🧩 What you'll be working on:
Models that predict vehicle trajectories and interact directly with controllers and actuators, closing the loop between prediction and real-world vehicle performance
End-to-end work across data, model training, evaluation, deployment, and performance monitoring
On-road and off-road metrics that diagnose issues and drive data-led model iterations
Production-ready ML systems built with strong software engineering, quality, and reliability practices
Methods spanning reinforcement learning, behavioural cloning, and distillation, working with multi-sensor inputs such as camera, radar, and lidar where relevant
👤 You should apply if:
Proven track record training deep learning models with clear end-to-end ownership: data, training, evaluation, and iteration
You've taken ML models into production, working through real-world constraints, quality, and safety requirements
Strong Python skills and hands-on experience with modern ML frameworks
Comfortable shipping production-facing ML, not just research or proof-of-concept work
Background in either end-to-end autonomous driving/embodied AI, or large-scale product ML systems such as recommendations or ranking
Bring reinforcement learning or behavioural cloning experience, especially where it materially improved real-world performance
Familiar with model compression and deploying ML to embedded systems (nice to have)
🌱 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)
Deep-dive technical interviews (Hiring manager interview, Applied ML interview and Pytorch debugging interview; 3 hours)
Final interview: mission & values alignment (45 minutes)
We'll always explain the format and work around your availability.
What's in it for you (Location dependent):
💰 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 partner discounts 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.
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.
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 teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.
The AI Validation team builds trust in the Wayve AI Driver. We create the strategies, metrics, test suites, and evidence used to assess learned driving behaviour across simulation and real-world testing, supporting product releases and customer programmes.
Lead validation strategy for advanced driver-assistance and autonomous-driving functions across multiple test modalities.
Translate product and safety requirements into measurable coverage, acceptance criteria, and validation plans.
Work hands-on with Python-based evaluation tools, metrics, simulation results, and large datasets.
Analyse validation outcomes and communicate clear evidence to Product, Safety, Release, and Autonomy Engineering stakeholders.
Coordinate dependencies across data, simulation, evaluation, and engineering teams so validation can run reliably at scale.
Provide technical leadership and raise the quality bar for systems validation in ambiguous, fast-moving programmes.
Comprehensive verification strategies for ADAS and autonomy functions within the Wayve AI Driver.
Test suites spanning simulated scenarios and physical vehicle testing.
Behaviour metrics and evidence that connect system requirements to real driving performance.
Scalable, automated validation workflows that support multiple products and customer deployments.
Validation approaches for learned and adaptive behaviours as end-to-end AI systems evolve.
You have significant experience validating complex automotive, autonomous-driving, robotics, aerospace, or similarly safety-relevant systems.
You have led validation concepts from initial ambiguity through implementation, execution, and reporting.
You can use Python to implement metrics and work within evaluation codebases; SQL experience is valuable.
You understand simulated and physical testing and can make evidence-based decisions from imperfect data.
You communicate crisply, document decisions well, and can align technical stakeholders across disciplines.
Experience with ML, computer vision, motion planning, data science, SOTIF, safety validation, or agentic AI workflows is beneficial.
🌱 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.
🚀 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.
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+ through to L4 as our core AI model scales.
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.
Our process is clear and respectful of your time:
Initial call / recruiter screen — 30 minutes
Competency interviews, including programming and hiring-manager discussion — approximately 2 hours total
Deep-dive technical interviews covering systems and domain expertise — approximately 3 hours total
Final interview focused on mission and values alignment — 1 hour
We’ll always explain the format and work around your availability.
💰 Salaries benchmarked against the market annually
📈 Meaningful equity, sharing in Wayve’s long-term success
✈️ Relocation support and visa sponsorship where applicable
✅ Hybrid working, core hours, and opportunities to work hands-on in vehicle workshops and labs
📚 Learning and development support for training, conferences, and growth
🩺 Comprehensive location-dependent benefits, including health coverage, family leave, retirement or pension support, wellbeing resources, and team socials
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.
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.
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 Data Enrichment Teams
Our Data Enrichment team builds the ground-truth datasets and classifiers that describe complex driving scenes across Wayve's data corpus. Drawing on Wayve's World Foundation Model, we help teams find rare scenarios, expose performance gaps and develop better perception and driving models, supporting the safety and reliability of Wayve's ADAS and AI Driver products. As a Machine Learning Engineer, Data Enrichment, you will tackle computer vision problems spanning road geometry, spatial relationships, road users and driving behaviour.
🧠 Your day-to-day
• Work with internal customers to define scene and scenario attributes, dataset requirements and measurable acceptance criteria for annotations and classifiers
• Design and refine annotation tasks and labelling instructions, using pilots, annotator agreement and expert review to resolve ambiguity and measure quality
• Curate and deliver ground-truth datasets for other teams to train and evaluate models, addressing rare scenarios, class imbalance and coverage across countries and vehicle platforms
• Build and evaluate computer vision models that draw on Wayve's World Foundation Model to identify scene attributes and driving behaviours
• Use error analysis to identify gaps in data, labels and model performance, and test approaches to improve them
🧩 What you’ll be working on
• Ground-truth datasets and classifiers that describe road geometry, spatial relationships, road users and driving behaviour
• Integrating classifiers with enrichment infrastructure to run inference across existing and newly collected driving data, making predictions available for corpus analysis and scenario mining
• Improving reusable tools for annotation, training, evaluation and inference
• Documenting dataset and classifier quality, and communicating limitations to colleagues across disciplines
🙌 You should apply if
• You have practical experience developing and evaluating computer vision models for image or video understanding, including interpreting spatial relationships in visual data
• You have strong Python programming skills and experience with a modern machine learning framework such as PyTorch
• You have experience curating training and evaluation datasets and assessing annotation quality, with an understanding of class imbalance, data leakage and representative evaluation
• You have taken machine learning models beyond experimentation into use, with reproducible training, evaluation and inference
• You can investigate model failures and determine whether improvements need better data, clearer labels or changes to the modelling approach
• You can translate an ambiguous customer request into clear technical deliverables and quality criteria, and communicate performance and limitations to colleagues from different disciplines
• Desirable: experience with 3D geometry, multi-camera systems or temporal scene understanding; autonomous driving, ADAS or robotics; adapting pretrained, foundation or vision-language models; human annotation workflows, active learning or model-assisted labelling; SQL, distributed data processing and batch inference
🌱 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 in Python and MLE domain interview)
Deep-dive technical interviews (systems design and hiring manager interview)
Final interview: mission & values alignment.
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.
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.
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 teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.
Vehicle Generalization makes it efficient, scalable, and predictable to deploy Wayve’s autonomous driving stack across a wide range of vehicle platforms by making our core autonomy generalise as widely as possible.
We work across pre- and post-training to improve how well our AI models generalise zero-shot to changes in perception—including cameras, intrinsics, field of view, lens distortion, and calibration—and embodiment, including vehicle dynamics, actuation limits, and rig geometry. We also own the Generalization Benchmark, Wayve’s tool for measuring how models transfer across platforms. Our work goes into production programmes with major OEMs.
We’re looking for a hands-on Machine Learning Engineer with a strong robotics background who understands how a real vehicle senses, estimates its state, and moves. You’ll identify where our models break down across platforms, understand why, and address those failures in training—then prove the improvement through rigorous evaluation.
Design and train models that are robust to differences between vehicles, using approaches such as conditioning or augmentation for vehicle kinematics and camera parameters.
Create benchmarks and metrics for cross-platform performance, translating results into clear decisions for model and platform teams.
Help root-cause on-road issues such as late turns, lane-keeping, and steering problems. Work with controls, calibration, and OEM engineers to separate model problems from system problems and identify the highest-impact model improvements.
Move research into production in collaboration with Driving Core and application engineering teams.
Support customer programmes, with some travel.
Mentor teammates and help raise the bar for ML engineering across the team.
Pre- and post-training methods that improve zero-shot transfer across vehicle platforms.
Robustness to changes in camera configuration, calibration, vehicle dynamics, actuation limits, and rig geometry.
The Generalization Benchmark and metrics that measure how models transfer between platforms.
Real-world, multi-sensor driving data and the interaction between sensors, data, models, and actuation.
Production deployment of Wayve’s autonomy stack with major OEM partners.
You have several years of experience building and shipping ML systems in PyTorch and Python, including training at scale, debugging experiments, and rigorous evaluation.
You have a strong robotics or automotive background in areas such as state estimation, sensor fusion, calibration, vehicle dynamics, or controls.
You bring a systems perspective and can trace a problem through sensors, data, models, and actuation.
You have experience working with real-world, multi-sensor driving or robot data.
You communicate clearly across teams and are comfortable owning ambiguous problems from start to finish.
Experience with end-to-end or learned driving and planning policies, imitation learning, or reinforcement learning.
Experience with platform bring-up or deployment across multiple vehicles.
C++ skills and experience with on-vehicle or embedded deployment.
🌱 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.
🚀 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.
Our ambition is to make autonomy universal. Wayve’s mapless and hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution from L2+ through to L4.
This role is based in Sunnyvale, CA (preferred), or London. We operate a hybrid model that combines in-person collaboration with focused time working remotely. Some travel is required to support customer programmes.
Initial call / recruiter screen — 25 minutes
Hiring-manager discussion — 45 minutes
Deep-dive technical interviews — approximately 4 hours total
Final interview focused on mission and values alignment — 1 hour
We’ll always explain the format and work around your availability.
💰 Salaries benchmarked against the market annually
📈 Meaningful equity
✈️ Relocation support and visa sponsorship where applicable
✅ Hybrid working and access to vehicle workshops and labs
📚 Learning and development support
🩺 Comprehensive location-dependent health, family, retirement, and wellbeing benefits
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.
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.
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.
Our engineering teams bring together ML engineering, evaluation and data science, software platform, testing, and product to turn breakthrough autonomous-driving technology into reliable products. Model releases connect these disciplines, taking AI models from early hypotheses through training, evaluation, and on-road testing to deployment across our vehicle fleet.
As our Release Manager — AI Models, you’ll help ensure that a core part of our technology — the AI model — is released reliably, on time, and to the standard required for production. You’ll bring structure and disciplined release practices to the fast-paced, non-deterministic world of ML, building the processes and systems that support clarity, stability, and business goals.
Own the model release cycle, maintaining a steady and predictable cadence while adapting to changing business priorities.
Coordinate across ML engineering, evaluation and data science, software platform, testing, and product to keep releases moving and resolve dependencies.
Run the gates that promote models from hypothesis → training → evaluation → validation → deployment, making clear what is ready to ship and what needs more work.
Drive investigations into regressions and integration issues, coordinate rollback or roll-forward decisions, and follow through on technical debt and corrective actions.
Be the central point of contact for model-release status, risks, and timelines, giving engineers and leadership the right level of detail.
Run post-release reviews and turn lessons learned into practical improvements across teams.
Release gates and promotion criteria: Define and justify what it takes for a model to progress, balancing performance gains, reproducibility, product requirements, safety, and compatibility with the onboard software stack and vehicle platform.
A release process that works for ML: Build frameworks that connect model development, evaluation, the Wayve onboard stack, and product needs — applying strong release-engineering practices while recognising where hypothesis-driven, non-deterministic systems need a different approach.
Bottleneck identification and improvement: Find constraints in the release lifecycle, implement dashboards and KPIs to make them visible, and proactively escalate gaps.
Tooling and automation: 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.
Reliable, stable deployments: Strengthen how teams handle model versions, integration issues, regressions, and recovery so that releases deliver value reliably.
You have 5+ years of experience in release management, software engineering, or a related field.
You understand the Software Development Life Cycle (SDLC) and release management practices, including testing strategy, system integration, branching, and versioning.
You have a conceptual understanding of ML fundamentals: what training data is, the difference between training and inference, what a model version or checkpoint represents, and why model validation is probabilistic rather than simply pass/fail.
You have experience with CI/CD pipelines and automation tools such as GitHub, Buildkite, and CLI tools.
You’re skilled at managing releases in complex, fast-moving systems and comfortable adapting processes and tooling as requirements, architecture, and timelines change.
You bring strong problem-solving and decision-making skills, including when release trade-offs depend on limited or ambiguous data.
You communicate clearly with engineers and leadership, helping people understand priorities, risks, and decisions.
You’re pragmatic, methodical, and system-minded. You bring strong release-engineering instincts and are keen to develop the judgment to know where ML systems require a different approach.
It’s a bonus if you also bring:
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 — including simulation, model leaderboards, and statistically powered experiments such as A/B or shadow-mode testing.
Awareness of model hardware and software dependencies.
A BSc or equivalent in Computer Science, Engineering, or a related technical discipline.
🌱 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.
🚀 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.
This is a full-time role based in our London office.
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.
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 mins)
Competency Interviews (Release Management & Cross Functional Collaboration)
Deep-dive technical interviews (Technical Assessment and Case Study)
Final interview: mission & values alignment
We’ll always explain the format and work around your availability.
💰 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.
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.
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 ADAS Team
Our ADAS team is bringing Wayve’s end-to-end AI driving to production-grade advanced driver assistance, working directly with our OEM partners. Recent partnership deals mean we’re now delivering ADAS into production programs, and it’s one of Wayve’s top priorities. The team is scaling quickly, and the next 18 months will be focused on getting it right for the first SOP. This is a chance to sit at the heart of the work that drives Wayve’s upcoming business.
🧠 Your day-to-day
Splitting your time roughly 60% management and 40% hands-on, leading a team of around seven ML engineers, made up of new hires and an existing sub-team
Acting as tech lead across multiple workstreams, setting the vision for how problems get solved, in what order, and with which dependencies
Reviewing and approving delivery plans for the tasks you own
Partnering with TPMs on planning and execution, and with Product to help shape priorities
Coaching and developing the ML engineers on your team, supporting their growth as the team scales
🧩 What you’ll be working on:
Taking our end-to-end AI driving approach into ADAS for a specific OEM production programme
Bringing ML models from proof of concept through to production on embedded automotive hardware
Optimising runtime and inference so the right model runs well on constrained hardware, rather than defaulting to the biggest one
Building and scaling a new team during a high-priority growth phase, with plenty of room to shape how it works
Working across system boundaries with software, embedded and product teams to deliver a coherent product
👤 You should apply if:
Expert background in developing ML, specifically computer vision
You are/have been a people manager and enjoy developing engineers
You’ve worked across systems with software developers and product teams, particularly on embedded software
You have hands-on experience with embedded runtime and inference optimisation, and make pragmatic trade-offs on model size and performance
You communicate clearly and thoughtfully with colleagues across sites and cultures
You stay steady and keep your team moving when requirements are unclear or change often
🌱 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:
✏️ Recruiter: please update this section for the specific role before publishing.
Our process is clear and respectful of your time:
Initial call / recruiter screen (30 mins)
Competency Interview (Technical Leadership & System Design; 2 hours)
Deep Dive (On-site visit in Herzilya; 1 hour)
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 dependent):
💰 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 partner discounts 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.
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.
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 Robot Software group turns new vehicle programs into stable, reliable robot systems. The Platform Integration team works at the boundary between onboard software and vehicle hardware, bringing up new platforms while building reusable components and frameworks that make every future integration faster and more predictable.
As a Software Engineer on the Platform Integration team, you’ll combine hands-on vehicle and bench work with production software development. Your work will directly enable safe, scalable deployment across multiple vehicle programs.
🧠 Your day-to-day
Support software bring-up on benches, HiL systems, and vehicles, including work at international test locations.
Develop and maintain vehicle-facing software components and shared frameworks.
Diagnose integration issues across software and hardware boundaries and drive them through resolution.
Identify architectural improvements that reduce bespoke work and improve reuse.
Build diagnostics, tooling, and metrics for robot-software reliability and performance.
Produce clear documentation and runbooks for long-term supportability.
Collaborate with hardware, safety, controls, calibration, and reliability teams.
🧩 What you’ll be working on
New vehicle-program bring-up across embedded compute, sensors, networks, and software services.
Linux-based robotic and automotive systems with multi-process and distributed architectures.
ROS2 or similar middleware, node development, message interfaces, and system integration.
Sensor calibration, synchronisation, data validation, and system-level debugging.
Automotive-grade compute platforms such as NVIDIA DRIVE and Qualcomm Snapdragon Ride.
Vehicle communication systems including CAN and Automotive Ethernet.
Shared abstractions and frameworks that improve reliability across programs.
🙌 You should apply if
You have strong software-development experience in C++, Python, or Rust.
You have delivered production-quality software on Linux-based robotic, embedded, or automotive platforms.
You understand ROS2 or similar robotics middleware and distributed-system integration.
You have hands-on experience integrating software with vehicle or embedded hardware.
You can diagnose complex problems using logs, telemetry, on-target tests, and systematic experimentation.
You understand vehicle sensors, networking, and the practical realities of platform bring-up.
Experience with drive-by-wire systems, CAN tools, shared frameworks, HiL or simulation, functional safety, technical documentation, or observability would be valuable.
🌱 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 recruiter screen — 25 mins
Competency Interviews — Programming and technical domain (2 hours)
Deep-dive technical interviews — Programming, software design, and hiring-manager/team fit (3 hours)
Final interview — Mission and values alignment (30 mins)
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.
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.
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
How do we know when an AI Driver is ready for a fully driverless Robotaxi service? Our Product Architecture & Safety team brings together data, systems thinking and engineering expertise to help answer that question.
Working closely with Model Development, Behavioural Validation, Safety and Robotaxi Engineering, you’ll turn real-world driving, validation and operational data into evidence of what the Wayve AI Driver can do today—and what needs to improve next. Your work will help shape development priorities and measure progress towards a safe, reliable and scalable driverless service.
🧠 Your day-to-day
You’ll take ownership of hands-on analysis, from exploring complex datasets in Python and SQL to sharing findings that guide product and engineering decisions.
Investigate driving behaviours and operational events to understand where, why and how often the system falls short of driverless service expectations.
Build practical metrics, performance baselines and dashboards to track progress across model, software and product releases.
Apply statistical methods to assess rare events, quantify uncertainty and distinguish meaningful improvements from noise.
Work with teams across Wayve to turn findings into development priorities, targeted validation and better data collection.
Contribute to product readiness reviews with clear evidence of progress, remaining limitations and the confidence behind your conclusions.
🧩 What you’ll be working on:
Understanding driverless readiness: Assess real-world driving and validation data to identify performance gaps, quantify their operational impact and track whether they are closing.
Separating performance gaps from missing capabilities: Identify where better model performance can help and where additional system or product capabilities are needed.
Measuring the complete Robotaxi experience: Define metrics for remote assistance, passenger pickup and drop-off, passenger interactions, vehicle readiness and recovery from operational disruptions.
Evaluating service reliability: Measure intervention demand, mission completion, recovery time and vehicle availability to understand what it takes to deliver a dependable driverless service.
Exploring challenging scenarios: Investigate safety-critical interventions, unnecessary stops, stuck scenarios and manoeuvre execution across different roads and operating conditions.
🙌 You should apply if:
You have at least three years of relevant experience in data science, automotive data analysis or a related field, with deeper experience for senior-level opportunities.
You’re hands-on with Python, SQL, statistical analysis and tools for exploring and visualising large datasets.
You can turn an ambiguous real-world problem into measurable questions, useful KPIs and a practical analytical approach.
You’ve analysed complex systems, uncovered performance limitations and translated your findings into product or engineering improvements.
You understand statistical confidence, rare-event analysis, performance distributions and trends.
You’re comfortable working independently with incomplete data, making reasonable assumptions and refining your approach as new evidence emerges.
You communicate clearly with engineering, product and leadership stakeholders, explaining both your findings and their limitations.
Experience in autonomous driving, ADAS, robotics, mobility services or another complex physical system would be valuable. Familiarity with vehicle dynamics, driving behaviour, safety-critical events or operational reliability would also help. A relevant master’s degree or PhD in Physics, Statistics or Mathematics, particularly focused on traffic systems, autonomous driving deployment or urban mobility, is a plus.
🌱 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:
This role is available on a hybrid basis in Sunnyvale or remotely within the USA.
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 interview (hiring manager interview 60 min)
Deep-dive technical interviews (programming, statistical interview - 2 hours total)
Final interview (30 min)
We’ll always explain the format and work around your availability.
What’s in it for you (Location dependent):
💰 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
✅ Flexible working arrangements appropriate to your role and location, with opportunities to collaborate in person
📚 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.
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.
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
Product Architecture & Safety (PAS) defines, governs and validates the system and product architecture of Wayve AI Driver across programs, giving OEMs and partners one technical voice. Our growing system architecture team works across assisted driving through L4 driver-out.
🧠 Your day-to-day
• Own end-to-end system architecture, interface contracts, assumptions of use and decision records.
• Lead technical discussions with OEMs, Tier 1s and partners, aligning internal architecture owners around a common direction.
• Define ECU and sensor requirements, guide system engineers and support integration planning, bring-up, triage and system-level debugging on vehicles and HiL/ViL benches.
🧩 What you’ll be working on
Shape how Wayve AI Driver is deployed across L0–L4, with near-term focus on L3 eyes-off and L4 driver-out. The scope starts where Robotaxi needs are highest and grows with the business.
• Translate use cases, ODD and operational constraints into reusable product, system and integration architecture.
• Define sensor and compute topology, vehicle interfaces, safety mechanisms, redundancy, fallback and minimal-risk manoeuvre assumptions with safety engineering.
• Define on-board/off-board architecture for connectivity, remote assistance and operation, and fleet operations, including latency, availability and Wayve/OEM/operator ownership.
• Distinguish core product changes from partner-specific integration so deployment needs strengthen one common architecture.
🙌 You should apply if
Essential
• Strong experience in system architecture, systems engineering or solution architecture for ADAS / AD, robotics or complex safety-relevant embedded systems.
• Broad understanding across system and vehicle-level architecture, sensors, compute and hardware, embedded software, vehicle integration and safety.
• Experience defining and owning product or integration architecture for complex, cross-functional systems end-to-end.
• Ability to translate high-level product or deployment goals into concrete architectural requirements and trade-offs.
• Experience working across multiple technical domains and aligning different engineering stakeholders.
• Experience leading technical discussions with OEMs, Tier 1s or other external partners.
• Working knowledge of ISO 26262 and ISO 21448 (SOTIF) and how they shape system architecture.
• Strong written and verbal communication, including architecture documents that others build from.
• Hands-on enough to support technical problem-solving, bring-up and integration trade-offs in practice.
Desirable
• Experience with L3 eyes-off, L4 or robotaxi systems, including fail-operational and redundancy concepts.
• Experience with assisted driving (L0–L2+) functions and their system requirements.
• Experience with AI- or ML-based driving systems and their deployment on embedded platforms.
• Familiarity with automotive middleware, real-time operating systems, Linux and embedded platform integration.
• Experience with vehicle connectivity, remote assistance, remote operation / teleoperation, fleet operations, HMI or other robotaxi application-layer integration.
• Experience bridging internal product architecture and external customer integration.
🌱 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:
This full-time role is based in Sunnyvale (US) or London (UK). Travel to customer and partner sites is expected during integration phases. 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
Hiring manager screen
Specialist deep dives: System Architecture; System Engineering & Safety; Product Management; Software Architecture
Technical Leadership interview
Final leadership review
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.
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.
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 Talent Acquisition Teams
Wayve’s Talent Acquisition team plays a critical role in our success. We hire the people who build and ship our autonomous driving technology. We’re a diverse team, based across the UK, US and Japan, and we take a sourcing first, quality focused and data-driven approach, acting as true partners to the business.
🧠 Your day-to-day
• Manage end-to-end recruitment for each role - sourcing, screening, interviewing and closing candidates, using Ashby to track your pipeline.
• Proactively source and headhunt candidates rather than relying on inbound applications, balancing depth of engagement for quality hires with the volume each search demands.
• Run regular check-ins and debriefs with hiring managers to keep every search on track.
• Deliver a world-class candidate experience through transparent communication, timely feedback and a seamless interview process.
• Track day-to-day metrics and flag pipeline bottlenecks as they come up.
🧩 What you’ll be working on:
• Owning a portfolio of typically 10-15 concurrent roles spanning software engineering, machine learning, integration and data engineering through to product and program management.
• Educating hiring managers and stakeholders on job profiles and search strategy, so every search starts from a sharp, well-defined brief.
• Using data to make the right calls on where to focus search effort across your portfolio, and continuously improving how we hire based on what that data tells you.
• Advising hiring managers on how AI is changing the shape of technical and product roles, and helping translate that into hiring strategy and candidate profiles.
• Helping build the high-performing, diverse technical and product teams that drive Wayve’s innovation and business impact as the company scales.
🙌 You should apply if:
• You have 5+ years of full-cycle technical recruitment experience, in a fast-scaling tech startup or scale-up environment.
• You’re a sourcing-driven recruiter at heart. You proactively headhunt and engage candidates rather than waiting for applications to come to you, and you know how to balance sourcing for quality with adding volume into the funnel when the search calls for it.
• You’re highly data-driven, using pipeline data to diagnose bottlenecks, understand what’s working, and course-correct your search when things aren’t converting.
• You act as a true business partner to hiring managers, helping shape and define roles, not just taking orders.
• You’re forward-thinking about AI and how it’s changing roles and ways of working, and can advise hiring managers on how this shows up in the profiles they’re hiring for.
• You have hands-on experience using Ashby to manage your recruitment pipeline.
• Ideally, you’ve worked across both agency and in-house recruitment, giving you a well-rounded view of sourcing and candidate management.
🌱 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 (45 mins)
Competency Interviews (Sourcing; 30 mins)
Deep-dive technical interviews (Cross-function; 1.5 hours )
Final interview: mission & values alignment (30 mins).
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
✅ 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.
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.
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 Operational Safety Team
The Operational Safety Team ensures on-road testing and robotaxi operations are conducted to the highest standards of safety and compliance within the US regulatory landscape. This independent function provides proactive oversight to identify emerging risks, assure safe execution of deployments, and serve as a check and balance across engineering, fleet operations, and global safety initiatives. We work collaboratively to maintain Wayve’s reputation as a leader in autonomous vehicle safety and to champion a strong, company-wide safety culture.
🧠 Your day-to-day
Monitor daily safety performance across fleet operations, R&D testing, and deployments
Track and analyze safety performance indicators, trends, and anomalies, using findings to influence operational controls and risk mitigation
Lead and support investigations into on-road incidents and near-misses, preparing structured root cause analysis reports and summarizing findings for cross-functional stakeholders
Prepare and document actionable investigation analyses, ensuring corrective actions are integrated into engineering, operations, and risk management processes
Support regulatory and partner reporting requirements as needed
Carry out hazard identification and risk assessment activities in support of on-road operations
Maintain and update operational risk registers; support and monitor the effectiveness of risk controls
Work closely with engineers, operators, and global safety teams to ensure best practices and knowledge sharing
Develop and deliver safety training programs, risk assessments, and promote a proactive safety mindset throughout the organization
Advocate for strong safety outcomes and continuous improvement in all operational activities
🧩 What you’ll be working on
Ensuring the validity of Wayve’s safety case through performance monitoring and risk analysis
Leading and documenting incident investigations, including root cause analysis and corrective actions
Supporting compliance with US regulatory frameworks (e.g., CA DMV, NHTSA) related to autonomous vehicle operations
Developing operational safety processes and training to support a rapidly scaling fleet in a fast-paced environment
Continuously improving the safety culture across field and engineering teams
🙌 You should apply if
You have 5+ years experience investigating incidents in a fast-paced, safety-critical environment
You have experience in operational safety, risk monitoring, or safety assurance in a fleet, logistics, field engineering, or operational environment
You have a strong analytical mindset with the ability to interpret data, identify patterns, derive insights, and present findings to technical and management audiences
You can operate independently and make sound safety judgments
You have a good understanding of industry standards/guidelines relevant to AV, automotive, or similar domains
You have experience with human factors: workload, attention, driver/operator interaction risks
You can develop and implement effective safety processes and procedures
Nice to have:
Experience with autonomous vehicle or ADAS testing and development
Background in automotive, aviation, defense, or manufacturing safety management systems
Understanding of US autonomous vehicle regulations (e.g., CA DMV, NHTSA)
Familiarity with automotive systems, electronics, and related safety implications
Experience supporting robotaxi or ride-hail operations
🌱 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 (safety management and hiring manager interview; 2 hours total)
Deep-dive technical interviews (incident response and domain-specific interviews; 2 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):
💰 Estimated salary range: $100,000 to $120,000 (Detroit, MI, hybrid), plus a competitive equity package. Actual compensation is based on your skills, qualifications and experience.
📈 Meaningful equity, sharing in the ownership and long-term success of Wayve
✅ 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.
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.
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 Safety Team
Wayve is looking for Safety Assurance Analysts to support the ongoing monitoring and assurance of safety performance across our operations. You'll play an important role in ensuring that operational safety controls are functioning effectively, identifying emerging risks, and providing clear, evidence-based insights that support safe and reliable operations.
Working with operational safety data, you'll review Vehicle Safety Operator (VSO) driving data, incidents, interventions, model flags, Driver Monitoring System (DMS) events, operational process evidence, and other safety-relevant information to identify trends, control failures, behavioral concerns, and emerging operational risks. You will collaborate across cross-functional teams and international time zones to deliver impactful safety metrics and operational insights, providing concrete evidence of Wayve's commitment to safe operations.
This is a hands-on, analytical role requiring strong attention to detail, impartial judgement, and the ability to translate complex operational information into actionable safety insights.
🧠 Your day-to-day
You'll execute day-to-day operational safety assurance activities, using dashboards, reporting tools, and safety performance monitoring systems to assess operational performance and validate the effectiveness of safety controls.
You'll become a power user of Wayve's operational dashboards, analyzing driving data, incidents, interventions, driver monitoring outputs, model flags, and field observations to identify trends, anomalies, and leading indicators of risk.
You'll also support safety investigations by collecting and reviewing evidence, reconstructing event timelines, identifying contributing factors, and documenting findings. Through recurring safety performance reports and investigation summaries, you'll help ensure that emerging risks and potential control failures are clearly understood and communicated.
🧩 What you'll be working on:
Monitoring operational safety performance: Review VSO driving data, incidents, interventions, model flags, DMS events, field observations, and other safety-relevant information to identify trends, anomalies, behavioral concerns, and emerging risks.
Validating operational safety controls: Execute assurance activities to assess whether operational controls and safety processes are functioning effectively, identifying potential control failures and areas requiring further investigation.
Analysing safety data and dashboards: Use Wayve's operational dashboards and reporting tools to interrogate safety metrics, identify patterns, and generate meaningful insights into operational safety performance.
Identifying leading indicators of risk: Analyze operational datasets, driver monitoring outputs, model flags, incidents, and field observations to identify early warning signs of potential safety concerns.
Supporting safety investigations: Collect and review evidence, reconstruct incident timelines, apply root-cause thinking, analyze contributing factors, and clearly document investigation findings.
Producing recurring safety reports: Prepare weekly safety performance packs, monthly assurance reports, investigation summaries, and incident write-ups that communicate findings clearly and support informed decision-making.
Maintaining data and evidence quality: Validate the accuracy, completeness, and consistency of operational data while recognizing limitations in the underlying evidence.
Communicating actionable safety insights: Translate complex operational data and investigation findings into concise, objective, and actionable reports.
Maintaining impartial safety assurance: Apply consistent, evidence-based judgement when reviewing safety-relevant events, operational behaviours, incidents, and performance trends.
🙌 You should apply if:
You have strong working knowledge of operational dashboards, reporting tools, and safety performance monitoring systems.
You're comfortable becoming a power user of operational dashboards, extracting insights, identifying trends, and producing clear, recurring reports.
You bring strong data analytics literacy, including the ability to work with operational datasets, interrogate metrics, validate data quality, and recognize limitations in available evidence.
You have strong reporting capabilities and can prepare weekly safety performance packs, monthly assurance reports, investigation summaries, and incident write-ups.
You can identify leading indicators of risk from operational dashboards, datasets, incidents, driver monitoring outputs, model flags, and field observations.
You have investigation skills, including evidence collection, timeline reconstruction, root-cause thinking, contributing-factor analysis, and clear documentation of findings.
You understand operational safety principles and can interpret data in the context of real-world fleet operations.
You demonstrate exceptional attention to detail, consistency, and accuracy when reviewing and documenting safety-relevant information.
You're a strong written communicator who can translate complex operational data into clear, concise, and actionable reports.
You exercise sound, impartial judgement when assessing safety-relevant events, behaviors, incidents, and operational performance trends.
🌱 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, generalize 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 generalizable 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 (Hiring Manager and Cross-functional Interviews) (90 mins)
Deep-dive technical interviews (Presentation) (60 mins)
Final interview: (30 mins)
We’ll always explain the format and work around your availability.
What’s in it for you:
💰 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.
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.
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
You’ll join Wayve’s Product & Delivery (P&D) organization, working within the Sensor Architecture team to help define and integrate the sensor systems behind our end-to-end autonomy stack.
The team works across the full sensor suite, with particular depth in camera systems, while also shaping radar, lidar and other sensing topics across customer and vehicle programs.
You’ll work closely with Wayve’s hardware and software teams, OEMs, Tier 1s and sensor suppliers, helping connect what sensors can physically deliver with how the Wayve AI Driver performs in real-world driving conditions.
This role sits at the intersection of sensor technology, vehicle integration and autonomous-driving performance, with responsibility for taking defined sensor topics from analysis through to clear, data-backed technical recommendations.
🧠 Your day-to-day
You’ll help translate driving use cases, ODD requirements and product constraints into clear sensor-system requirements and measurable KPIs such as coverage, field of view, resolution, detection range and latency.
A significant part of your work will focus on camera systems. You’ll contribute to camera concepts, module and sensor selection, variants, field of view, placement and integration requirements across different vehicle platforms.
You’ll evaluate and help tune image quality across areas such as exposure, HDR, ISP behaviour, LED flicker, low-light performance and image artefacts, working closely with Wayve’s hardware team and camera / ISP suppliers.
You’ll also work directly with OEMs and Tier 1s on camera mounting and vehicle-integration requirements, including position, alignment and tilt tolerances, mount rigidity, windshield and cover-glass effects, occlusion, heating and cleaning, synchronisation and calibration assumptions.
Beyond cameras, you’ll contribute to radar and lidar topics, supporting requirements definition, sample evaluation and integration discussions around areas such as mounting, radome and fascia effects, calibration and interference.
You’ll analyze fleet, replay and validation data to understand gaps between expected and observed sensor behaviour, define test requirements with the hardware team, review results and recommend next steps.
The role also includes hands-on work in the lab and on vehicles, supporting sensor bring-up and integration debugging when needed, as well as using Python to automate analysis and reporting.
🧩 What you’ll be working on:
Defining sensor-system requirements and quantitative KPIs derived from driving use cases, ODD and product constraints.
Developing camera-system concepts across sensor/module selection, variants, FOV and placement.
Evaluating camera image quality, including exposure, HDR, ISP, LED flicker, low-light performance and common image artefacts.
Defining camera mounting and vehicle-integration requirements for OEMs and Tier 1s.
Ensuring sensor characteristics, installation assumptions and calibration requirements remain consistent across development and production programs.
Analyzing fleet, simulation, replay and validation data to understand sensor performance and its impact on system KPIs.
Defining test requirements, reviewing results and supporting hands-on lab and vehicle testing.
Supporting sensor bring-up and hardware/software integration debugging.
Working directly with camera, radar and lidar suppliers on technical requirements, sample evaluation and integration constraints.
Supporting radar integration topics including mounting, radome/fascia effects and interference.
Supporting lidar and other sensing technologies such as ultrasonics where required.
Answering technical camera and sensor questions from customers and partners.
Maintaining sensor requirements, imaging guidelines, test specifications and technical recommendations.
Automating sensor-data analysis and reporting using Python.
Helping identify production and manufacturability constraints early as customer programs move from development toward production.
🙌 You should apply if:
5+ years, of hands-on experience in automotive camera, radar or lidar engineering.
You have delivered technical work on automotive programs from requirements through integration, validation and verified results.
You have strong knowledge of camera systems, including image sensors, exposure, HDR, ISP pipelines, calibration and image artefacts.
You have practical experience with camera integration, image quality, sensor characterisation or ADAS sensor validation.
You have working knowledge of radar and/or lidar fundamentals and their vehicle-integration constraints, and can lead first-level technical discussions with suppliers.
You have experience defining camera mounting and integration requirements with OEMs or Tier 1s, including alignment tolerances, windshield or cover-glass effects, occlusion and mount rigidity.
You have used measurement and data analysis to make technical decisions, including image-quality evaluation using standard charts, tools and methods.
You are comfortable working across both hardware and software teams and directly with suppliers, OEMs and customers.
You can use Python or MATLAB for engineering analysis, automation and reporting.
You can write clear requirements, test specifications and concise, data-backed recommendations.
You enjoy working independently within a defined technical area and taking ownership from analysis through recommendation.
You are curious about how sensor behaviour affects autonomous-driving performance and are interested in broadening your expertise across camera, radar and lidar.
Experience with production ADAS or AV programs, mass-production sensor integration, ML-based perception, fleet-data analysis, replay-based validation, radome/fascia evaluation, IEEE P2020 concepts, ultrasonic sensors, SerDes, sensor configuration or synchronisation would be a strong advantage.
🌱 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
Competency Interview
Deep-dive technical interviews
Final interview:
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.
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.
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 Robotics Team
The Robotics team is responsible for bridging the gap from our model to our vehicle platforms, in order to let the model focus on making driving decisions. We aim to provide high quality data to the model for making such decisions, whilst abstracting away platform-specific aspects. We combine specialisms across the robotics domain, blending strong theoretical foundations with solid engineering practice to span the spectrum from research to production.
🧠 Your day-to-day
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
Own requirements, release readiness, and in-field performance and issue triage
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 (Ownership through the full lifecycle)
Define and track quality metrics (e.g., comfort, tracking error, and safety margin KPIs, and regressions against them)
Contribute to safety artefacts: provide evidence for safety cases, work with the safety team to ensure compliance with required standards
🧩 What you’ll be working on:
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.
🙌 You should apply if you have:
Strong fundamentals in control theory, with applied experience in one or more of optimization, model-predictive control, numerical methods or dynamical systems
Practical experience developing, tuning and validating motion control on complex real world physical systems (e.g., direct experience with mobile robotics and/or autonomous vehicles)
Experience with test and validation discipline: unit and integration tests, simulation regression suites, closed-loop metrics.
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 machine learning experience, or experience developing systems that integrate with ML components
Vehicle dynamics and actuation. Steering, braking and powertrain interfaces, actuator delay models, and CAN or similar vehicle bus experience
Experience in the automotive industry, including ADAS or vehicle controls
Experience with safety-critical systems, validation, and relevant industry standards (e.g. ISO 26262)
Experience with monitoring and diagnostics: Logging, fault detection, and on-platform debugging tools, ideally with experience investigating field issues
Experience across multiple platforms or vehicles. The team supports vehicle-to-vehicle variation, such as accounting for parameter identification, calibration, and keeping one software stack across hardware variants
🌱 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: general background, current situation, interests and Wayve company information & hiring context.
Competency Interviews: programming and code review.
Deep-dive technical interviews: domain knowledge & system design.
Final interview: mission & values alignment.
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.
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.
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
The Embedded Automotive Platforms (EAP) group builds the software that connects Wayve’s AI Driver to the vehicle and its onboard systems. We develop the platform adaptation and integration layers that let our AI capabilities run reliably across different vehicles, hardware platforms and programmes.
You’ll join a team working across Wayve’s internal fleets and customer programmes. Our work spans embedded software that resides between vehicle platforms, HMI and AI Driver, and the software interfaces that connect these capabilities to the AI Driver. We work closely with teams across autonomy, hardware, product and vehicle engineering to turn system requirements into robust, testable software.
As a Staff Software engineer, you’ll own significant technical work from design through integration and validation. You’ll help shape how EAP software is structured, make sound engineering decisions in an evolving environment, and work with partner teams to deliver capabilities that operate reliably on real vehicles.
🧠 Your day-to-day
Design, build and maintain embedded software that integrates Wayve’s AI Driver with vehicle platforms and onboard systems.
Develop and evolve interfaces between AI capabilities, vehicle software and platform-specific components.
Work across areas such as inference integration, vehicle data, navigation, localisation, odometry, driver interaction and motion control interfaces.
Collaborate with engineers across autonomy, hardware, vehicle programmes and product to clarify requirements and resolve integration issues.
Take features from technical design through implementation, testing, vehicle integration and release.
Diagnose and resolve issues using simulation, hardware-in-the-loop, vehicle testing, logs and performance data.
Contribute to architecture and engineering practices that support reuse across vehicle platforms and programmes.
Use AI development tools where they can improve engineering productivity and software quality.
🧩 What you’ll be working on
Building and integrating software for current and future vehicle platforms, including internal development fleets and customer programmes.
Developing reliable interfaces and adaptation software between Wayve’s AI Driver and vehicle-specific systems.
Improving software quality, observability, performance and resilience in resource-constrained onboard environments.
Supporting the migration and evolution of capabilities across vehicle generations and hardware configurations.
Working with simulation and test teams to improve how embedded and vehicle-integrated software is validated.
Contributing to technical direction, reviewing designs and code, and helping raise engineering standards across the team.
🙌 You should apply if
Essential: a bachelor’s or master’s degree in Computer Science, Electrical, Automotive Engineering or a related technical discipline, or equivalent practical experience.
Essential: strong software engineering experience in modern C++, with a track record of delivering production-quality software.
Essential: experience developing embedded or systems software, ideally on Nvidia and Qualcomm platforms with Linux/QNX.
Essential: experience with Linux-based platforms.
Essential: experience with system architecture and designing software components, APIs or interfaces for complex systems.
Essential: strong understanding of software quality practices, including testing, debugging, code review and maintainability.
Essential: experience diagnosing problems across component or system boundaries.
Essential: ability to work with technical partners to clarify requirements and make progress in ambiguous situations.
Essential: clear communication and collaboration skills, including working across teams and locations.
Essential: a practical, ownership-minded approach, so you can take a complex problem from investigation through implementation and validation.
Desirable: experience in autonomous driving, automotive, robotics or another real-time, safety-related domain.
Desirable: familiarity with vehicle software, middleware, sensors, actuators or vehicle communication protocols.
Desirable: experience integrating machine-learning inference or other compute-intensive workloads on embedded hardware.
Desirable: familiarity with AV stack components like navigation, state estimation or driver-interaction systems.
Desirable: experience with simulation, hardware-in-the-loop testing or vehicle testing.
Desirable: familiarity with automotive software development processes, including ASPICE or similar practices.
Desirable: experience supporting software across multiple hardware platforms or vehicle programmes.
🌱 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 hiring manager interview; 1.5 hours total)
Deep-dive technical interviews (Systems & domain-specific interviews; 4 hours total)
Final interview: Mission & values alignment (30 mins).
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.
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.
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 is building embodied AI that can drive any vehicle, anywhere. Within Robot Software, the Platform Integration team brings together the software and interfaces that enable our AI Driver to operate on new development platforms.
The team owns early vehicle software integration, drive-by-wire and the vehicle facing software drivers. We work across software, hardware, controls and operations to bring up new vehicle variants, improve their reliability and establish repeatable processes for validation and handover.
As Engineering Manager, you’ll lead the engineers responsible for this work, shaping both the team’s technical direction and its development. Your team will help Wayve scale across vehicles and OEM programmes by building reusable software interfaces and making integration more predictable.
🧠 Your day-to-day
You’ll be accountable for the team’s delivery, engagement, resourcing, roadmap and performance. You’ll coach engineers, support their career development, lead hiring and build a team with clear ownership and high standards.
Working with the team, you’ll set direction across vehicle interfacing software and integration practices. You’ll help the team balance immediate programme needs with longer-term investments in architecture, tooling and reliability.
You’ll also coordinate dependencies across teams, make priorities and trade-offs clear, and resolve risks early. The role combines software engineering leadership with practical delivery and execution.
🧩 What you’ll be working on:
Leading and developing engineers: Set clear expectations, run effective one-to-ones, provide regular feedback, manage performance and support career progression.
Building the team: Own hiring and onboarding, develop the skills needed for future programmes and build a collaborative culture across locations.
Setting direction and priorities: Maintain the team’s mission, ownership boundaries and roadmap, balancing programme commitments with improvements that make future integrations easier.
Delivering new vehicle integrations: Lead planning and execution from early preparation and bench integration through vehicle bring-up, validation and handover. Secure the resources and cross-team support needed for delivery.
Owning vehicle-facing software: Guide the architecture and development of Vehicle Driver and drive-by-wire components, building robust interfaces that reduce bespoke changes for each vehicle variant.
Improving reliability and release quality: Establish measurable reliability targets, use field feedback to prioritise improvements, and build strong ownership of testing, releases and escalated issues. Invest in sustainable over the air updatable infrastructure.
Making integration repeatable: Develop playbooks, tooling, runbooks and knowledge-transfer practices so subsequent vehicles can be commissioned and supported independently.
Driving technical collaboration: Review designs and work closely with software, hardware, controls, safety and operations teams, as well as customers and suppliers where needed, to resolve integration challenges.
🙌 You should apply if:
You have a strong track record of leading and developing software or systems engineering teams, including coaching, hiring, performance management and career development.
You have owned a team roadmap and delivered complex engineering programmes through others, managing priorities, resources, dependencies and technical risk.
You have practical experience developing and integrating embedded or robotics software in a physical product.
You can guide architectural decisions and review designs for software that interacts with hardware, balancing immediate delivery with maintainability and reuse.
You understand the challenges of bringing up new hardware and software platforms, including testing, fault diagnosis, validation and operational handover.
You build strong ownership of reliability and quality, using metrics and lessons from real-world operation to drive improvements.
You communicate clearly and can align teams with different priorities around shared technical outcomes.
Experience with automotive systems, drive-by-wire, CAN or automotive Ethernet, vehicle controls, or bench and hardware-in-the-loop testing is desirable.
🌱 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 hiring manager interview; 2 hours total)
Deep-dive technical interviews (programming, systems & domain-specific interviews; 3 hours total)
Final interview: Wayve value alignment (45 mins)
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.
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.
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
Behind Wayve’s embodied AI is the compute and data infrastructure that enables our ML engineers and researchers to train and run increasingly capable models. Our Compute Foundations team builds and operates the large-scale cloud infrastructure that makes this possible, spanning GPU compute, storage, workload scheduling and the platforms that support training and inference.
You’ll lead this London-based team through its next phase of growth, helping build and maintain a reliable, high-performance, multi-cloud and multi-region platform. The challenges go beyond provisioning resources: they include scheduling workloads across different GPU architectures, keeping valuable compute available, and moving data efficiently while managing costs.
You’ll lead a team working with state-of-the-art tooling to tackle infrastructure challenges found only at the world’s leading AI companies, building the platform that enables Wayve to develop its AI Driver.
🧠 Your day-to-day
People leadership will be your first priority. You’ll coach and develop engineers, set clear expectations, manage performance. You’ll build technical leadership within the team, giving engineers the support and ownership they need to grow. You will guide the growth of the team through hiring and onboarding.
Alongside this, you will own project prioritisation and roadmap planning, aligning priorities and delivery plans with stakeholders across Wayve. Your goal is to maximise the impact of the team in alignment with the department and company objectives. You will provide visibility into the state of systems you own through clear KPIs and dashboards.
Leading a highly technical team, you’ll bring the technical judgement to guide complex infrastructure decisions and turn competing needs into a clear roadmap. Working with technical leads, partner teams and cloud providers, you’ll balance reliability, performance, capacity and cost, and help the team deliver sustainably.
🧩 What you’ll be working on
Leading and developing the team: Coach engineers through regular feedback and one-to-ones, manage performance, support career development and build a healthy, performant and accountable team.
Hiring and building technical leadership: Lead hiring and onboarding as the team expands, and develop technical leads who can take ownership of key areas of the platform.
Driving the roadmap and delivery: Translate training and inference needs into priorities, align commitments with available resources, and surface risks and dependencies early.
Scaling cloud compute: Guide the evolution and operation of a multi-cloud, multi-region training and inference platform, including the adoption of new compute architectures (Nvidia Hopper, Blackwell; Qualcomm).
Improving scheduling and availability: Oversee Kubernetes-based infrastructure and queuing and scheduling systems, enabling workloads to use the right resources across heterogeneous GPU environments.
Planning capacity and cost: Partner with stakeholders and cloud providers on compute and storage forecasts, accounting for resource lead times, performance requirements and cost trade-offs.
Ensuring efficient storage across clouds: Guide distributed storage and caching approaches that improve data access and reduce unnecessary duplication and cross-cloud transfer costs.
🙌 You should apply if
You have a strong track record of managing and developing an infrastructure, platform or distributed systems engineering team, including hiring, coaching, performance management and career development.
You have delivered through others, owning team priorities and balancing delivery with operational reliability and longer-term platform improvements.
You have substantial experience in Kubernetes and workload queuing and scheduling systems, such as Kueue or equivalent technologies.
You can reason about availability, capacity, performance and cost across complex cloud infrastructure, including the interaction between compute, storage and data movement.
You understand large-scale GPU compute infrastructure for machine learning training or inference and the operational challenges of scaling beyond small GPU deployments.
You can earn engineers’ trust through sound technical judgement without needing to be the team’s primary individual contributor. You have successfully delivered as an individual contributor in the past.
You communicate clearly with technical teams, stakeholders and external providers, and can turn ambiguous requirements into practical priorities.
You are able to work from our London office and lead a team based there.
The following experience would be useful but is not required:
Operating multi-cloud or multi-region platforms for large-scale AI workloads.
Introducing new GPU architectures or managing heterogeneous GPU fleets.
Distributed storage, caching and data-locality strategies for data-intensive workloads.
Capacity forecasting, cloud cost modelling and close collaboration with cloud infrastructure providers.
🌱 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: system design and hiring manager interview
Deep-dive technical interviews: technical leadership, code review and people management
Final interview: leadership, mission & values alignment
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.
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.
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 Verification and Release Test Team
Wayve’s Verification and Release Test team sits at the intersection of hardware, embedded software and machine learning models. Our testing spans component, system and vehicle levels, and we build novel test automation in-house to identify issues earlier in development. We pride ourselves on finding the most efficient and effective ways to deliver the most valuable results for the company.
As a System Test Engineer, HIL, you’ll build robust, reusable automation and work across engineering disciplines to improve 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 Wayve and your experience evolve.
🧠 Your day-to-day
Develop automation for system functionality tests at component, integration and system levels, working across software and hardware boundaries.
Lead root-cause investigations for failures identified during test campaigns, collaborating with hardware, software, infrastructure and DevOps teams to resolve issues.
Analyse test results, uncover software and hardware bugs, and report findings through Jira with clear evidence to support debugging.
Optimise Buildkite CI/CD-integrated test workflows for rapid, reliable and repeatable execution.
Review, create and follow risk assessments to ensure all testing activities are conducted safely and responsibly.
🧩 What you’ll be working on:
Independently owning the design and delivery of automated verification for a defined area of our embedded software stack, steadily raising the bar on coverage, reliability and traceability.
Building open-loop and closed-loop hardware-in-the-loop (HIL) replay tests, alongside reliability and fault-injection tests, to support verification, release and debugging.
Automating HIL test setups and improving test infrastructure to expand coverage, make failures easier to trace and strengthen compliance reporting.
Integrating requirements, coverage and compliance workflows, including Jama, MC/DC coverage analysis and MISRA checks, and managing test artefacts through Artifactory and Azure.
Developing traceability dashboards and defining KPIs and quality metrics that support data-driven validation and release decisions.
🙌 You should apply if:
You have hands-on experience with system-level verification and validation in robotics, embedded software or mechatronic systems, with a track record of independently delivering test automation.
You’re highly proficient in Python and have experience developing automation test frameworks using pytest.
You’ve worked with HIL testing and tooling, including interfaces such as CAN, Ethernet or GMSL, and tools from dSPACE, Vector, Xylon or similar providers.
You understand open-loop and closed-loop HIL replay testing using dSPACE or other emulators.
You’re familiar with automotive safety and process standards, including ISO 26262, ASPICE and SOTIF, and have experience integrating requirements and test-management tools such as Jama and Xray.
You’re proficient in CI/CD principles and related tooling, such as GitLab CI, Buildkite and Bazel.
You have experience developing or testing automotive software at embedded and system levels, including hardware/software interactions and interface-level testing, and have worked with L2+ hands-off, L3 or L4 automated driving systems.
You have knowledge of consumer safety-rating protocols such as Euro NCAP, including AEB and LSS/LKA scenarios; DCAS regulatory testing under UN R171; and automotive cybersecurity testing and standards, including ISO/SAE 21434 and UN R155.
You’ve worked with test automation dashboards, logging and reporting infrastructure, using tools such as Grafana, Looker, Datadog and Jira.
You’re a self-starter with a sharp eye for improvement who communicates clearly and works effectively across software, hardware, autonomy, DevOps and product teams.
Ideally, you’ve contributed to improvements in test methods, safety procedures or operational efficiency, and are familiar with data management and version control tools such as Git.
Experience using agentic AI coding tools such as Cursor or Claude Code to accelerate and improve test development, debugging and automation workflows would also be valuable.
🌱 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 minutes)
Competency Interviews (Programming and hiring manager interview; 1 hour 45 minutes total)
Deep-dive technical interviews (Cross-functional, system design; 1 hour 45 minutes total)
Final interview: mission & values alignment (45 minutes).
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
✅ 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.
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.