{"jobs":[{"id":"77a8ca93-7344-43ed-b215-98ecd95ecf9b","title":"Manufacturing Engineer","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"Fremont","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-05T03:57:35.408+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Fremont"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/77a8ca93-7344-43ed-b215-98ecd95ecf9b","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/77a8ca93-7344-43ed-b215-98ecd95ecf9b/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">We're looking for a Manufacturing Lead who can scale our robotic systems from prototype to production. You'll own the processes, tooling, and systems that enable us to build robots reliably and efficiently. You'll bridge the gap between R&amp;D and production, working closely with design engineers to ensure our robots are manufacturable at scale while maintaining the quality and consistency needed to advance research. You will design assembly and test fixtures, manage the assembly and test flows, BOMs, and work closely with the supply chain team to ensure parts arrive on time and are assembled and tested consistently at scale.</p><p style=\"min-height:1.5em\"><strong>In this role you will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Design and optimize manufacturing processes for robotic systems, including assembly sequences, work instructions, and cycle-time improvements.</p></li><li><p style=\"min-height:1.5em\">Collaborate with design engineers to provide DFM/DFA feedback and drive design iterations.</p></li><li><p style=\"min-height:1.5em\">Develop fixtures, jigs, and tooling from the ground up for novel processes to ensure build quality and efficiency for complex robotic assemblies.</p></li><li><p style=\"min-height:1.5em\">Establish and maintain Bills of Materials (BOMs), build instructions, assembly flow and all manufacturing documentation.</p></li><li><p style=\"min-height:1.5em\">Lead the transition of robot designs at various levels of maturity from prototype, to pilot production, to eventually scale.</p></li><li><p style=\"min-height:1.5em\">Conduct root-cause analysis (RCCA) and failure mode analysis (FMEA) to drive continuous improvement.</p></li><li><p style=\"min-height:1.5em\">Define and track manufacturing KPIs including yield, throughput, and cost per unit.</p></li><li><p style=\"min-height:1.5em\">Implement quality control systems including inspection criteria, test protocols, and acceptance standards.</p></li></ul><p style=\"min-height:1.5em\"><strong>What we hope you'll bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or a related field.</p></li><li><p style=\"min-height:1.5em\">5+ years of experience in manufacturing engineering, preferably in robotics, automotive, aerospace, or consumer electronics.</p></li><li><p style=\"min-height:1.5em\"><strong>Experience with NPI is required.</strong></p></li><li><p style=\"min-height:1.5em\">Proficiency in CAD software (SolidWorks, NX, or Onshape) and GD&amp;T.</p></li><li><p style=\"min-height:1.5em\">Experience with manufacturing processes: machining, sheet metal, injection molding, 3D printing, PCB assembly.</p></li><li><p style=\"min-height:1.5em\">Strong understanding of lean manufacturing principles and continuous improvement methodologies.</p></li><li><p style=\"min-height:1.5em\">Familiarity with ERP/MRP systems and production planning.</p></li><li><p style=\"min-height:1.5em\">Experience with quality systems (ISO 9001) and statistical process control.</p></li><li><p style=\"min-height:1.5em\">Hands-on ability to build and troubleshoot electromechanical systems.</p></li><li><p style=\"min-height:1.5em\">Excellent project management and cross-functional collaboration skills.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nWe're looking for a Manufacturing Lead who can scale our robotic systems from prototype to production. You'll own the processes, tooling, and systems that enable us to build robots reliably and efficiently. You'll bridge the gap between R&D and production, working closely with design engineers to ensure our robots are manufacturable at scale while maintaining the quality and consistency needed to advance research. You will design assembly and test fixtures, manage the assembly and test flows, BOMs, and work closely with the supply chain team to ensure parts arrive on time and are assembled and tested consistently at scale.\n\nIn this role you will\n\n - Design and optimize manufacturing processes for robotic systems, including assembly sequences, work instructions, and cycle-time improvements.\n\n - Collaborate with design engineers to provide DFM/DFA feedback and drive design iterations.\n\n - Develop fixtures, jigs, and tooling from the ground up for novel processes to ensure build quality and efficiency for complex robotic assemblies.\n\n - Establish and maintain Bills of Materials (BOMs), build instructions, assembly flow and all manufacturing documentation.\n\n - Lead the transition of robot designs at various levels of maturity from prototype, to pilot production, to eventually scale.\n\n - Conduct root-cause analysis (RCCA) and failure mode analysis (FMEA) to drive continuous improvement.\n\n - Define and track manufacturing KPIs including yield, throughput, and cost per unit.\n\n - Implement quality control systems including inspection criteria, test protocols, and acceptance standards.\n\nWhat we hope you'll bring\n\n - Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or a related field.\n\n - 5+ years of experience in manufacturing engineering, preferably in robotics, automotive, aerospace, or consumer electronics.\n\n - Experience with NPI is required.\n\n - Proficiency in CAD software (SolidWorks, NX, or Onshape) and GD&T.\n\n - Experience with manufacturing processes: machining, sheet metal, injection molding, 3D printing, PCB assembly.\n\n - Strong understanding of lean manufacturing principles and continuous improvement methodologies.\n\n - Familiarity with ERP/MRP systems and production planning.\n\n - Experience with quality systems (ISO 9001) and statistical process control.\n\n - Hands-on ability to build and troubleshoot electromechanical systems.\n\n - Excellent project management and cross-functional collaboration skills.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"1f6cf3eb-f70f-480b-9fff-befd56c7fd07","title":"ML Infra Engineer, Data Systems","department":"Machine Learning","team":"Machine Learning","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-01T01:11:13.230+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/1f6cf3eb-f70f-480b-9fff-befd56c7fd07","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/1f6cf3eb-f70f-480b-9fff-befd56c7fd07/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">As an ML Infra Engineer (Data Systems), you’ll build and operate the data infrastructure that powers large-scale robot learning. Your systems will sit directly between raw data sources and training/evaluation, enabling us to move faster while maintaining performance, correctness, and reliability at scale.</p><p style=\"min-height:1.5em\">This is a systems role at the intersection of distributed systems, storage, and machine learning infrastructure.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Infrastructure organization builds the foundations that make large-scale learning possible at PI. This includes training systems, data platforms, evaluation pipelines, and the tooling that allows researchers and roboticists to work with massive datasets safely and efficiently.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Data Ingestion &amp; Processing:</strong> Design and build high-throughput pipelines that validate, transform, and featurize raw multimodal data.</p></li><li><p style=\"min-height:1.5em\"><strong>Batch &amp; Streaming Systems:</strong> Operate large-scale batch and streaming workflows over massive datasets.</p></li><li><p style=\"min-height:1.5em\"><strong>Storage Systems:</strong> Design object storage layouts, metadata systems, and efficient access patterns; choose file formats with performance and scalability in mind.</p></li><li><p style=\"min-height:1.5em\"><strong>Data Lifecycle Management:</strong> Build systems for backfills, dataset rebuilds, garbage collection, and large-scale transformations.</p></li><li><p style=\"min-height:1.5em\"><strong>Training-Time Performance:</strong> Optimize dataloaders, sharding, prefetching, caching, and throughput to reduce time from data arrival → model training.</p></li><li><p style=\"min-height:1.5em\"><strong>Metadata &amp; Indexing:</strong> Build scalable metadata stores for datasets, annotations, and training artifacts.</p></li><li><p style=\"min-height:1.5em\"><strong>Data Movement:</strong> Move petabytes efficiently across clusters and environments.</p></li><li><p style=\"min-height:1.5em\"><strong>Operational Correctness:</strong> Implement observability, validation, and guardrails to prevent silent data regressions.</p></li><li><p style=\"min-height:1.5em\"><strong>Cross-Functional Collaboration:</strong> Work closely with cross-functional teams of researchers, engineers and roboticists to translate evolving data needs into robust systems.</p></li></ul><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong software engineering fundamentals.</p></li><li><p style=\"min-height:1.5em\">Experience building distributed systems or large-scale data pipelines.</p></li><li><p style=\"min-height:1.5em\">Comfort reasoning about performance, memory, I/O, and storage efficiency.</p></li><li><p style=\"min-height:1.5em\">Familiarity with batch and/or streaming processing systems.</p></li><li><p style=\"min-height:1.5em\">Experience with object storage systems and data format tradeoffs.</p></li><li><p style=\"min-height:1.5em\">Ownership mindset: design, build, operate, and iterate on systems end-to-end.</p></li><li><p style=\"min-height:1.5em\">Enjoy working closely with researchers and unblocking fast-moving projects.</p></li></ul><p style=\"min-height:1.5em\"><strong>Bonus Points If You Have</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with large ML training pipelines or dataloading systems.</p></li><li><p style=\"min-height:1.5em\">Knowledge of columnar or custom data formats.</p></li><li><p style=\"min-height:1.5em\">Experience with systems like ClickHouse, Ray, Flink, Spark, or similar.</p></li><li><p style=\"min-height:1.5em\">Hands-on experience operating petabyte-scale datasets.</p></li><li><p style=\"min-height:1.5em\">Debugging and fixing performance bottlenecks in data-heavy systems.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nAs an ML Infra Engineer (Data Systems), you’ll build and operate the data infrastructure that powers large-scale robot learning. Your systems will sit directly between raw data sources and training/evaluation, enabling us to move faster while maintaining performance, correctness, and reliability at scale.\n\nThis is a systems role at the intersection of distributed systems, storage, and machine learning infrastructure.\n\nThe Team\n\nThe Infrastructure organization builds the foundations that make large-scale learning possible at PI. This includes training systems, data platforms, evaluation pipelines, and the tooling that allows researchers and roboticists to work with massive datasets safely and efficiently.\n\nIn This Role You Will\n\n - Data Ingestion & Processing: Design and build high-throughput pipelines that validate, transform, and featurize raw multimodal data.\n\n - Batch & Streaming Systems: Operate large-scale batch and streaming workflows over massive datasets.\n\n - Storage Systems: Design object storage layouts, metadata systems, and efficient access patterns; choose file formats with performance and scalability in mind.\n\n - Data Lifecycle Management: Build systems for backfills, dataset rebuilds, garbage collection, and large-scale transformations.\n\n - Training-Time Performance: Optimize dataloaders, sharding, prefetching, caching, and throughput to reduce time from data arrival → model training.\n\n - Metadata & Indexing: Build scalable metadata stores for datasets, annotations, and training artifacts.\n\n - Data Movement: Move petabytes efficiently across clusters and environments.\n\n - Operational Correctness: Implement observability, validation, and guardrails to prevent silent data regressions.\n\n - Cross-Functional Collaboration: Work closely with cross-functional teams of researchers, engineers and roboticists to translate evolving data needs into robust systems.\n\nWhat We Hope You’ll Bring\n\n - Strong software engineering fundamentals.\n\n - Experience building distributed systems or large-scale data pipelines.\n\n - Comfort reasoning about performance, memory, I/O, and storage efficiency.\n\n - Familiarity with batch and/or streaming processing systems.\n\n - Experience with object storage systems and data format tradeoffs.\n\n - Ownership mindset: design, build, operate, and iterate on systems end-to-end.\n\n - Enjoy working closely with researchers and unblocking fast-moving projects.\n\nBonus Points If You Have\n\n - Experience with large ML training pipelines or dataloading systems.\n\n - Knowledge of columnar or custom data formats.\n\n - Experience with systems like ClickHouse, Ray, Flink, Spark, or similar.\n\n - Hands-on experience operating petabyte-scale datasets.\n\n - Debugging and fixing performance bottlenecks in data-heavy systems.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"404111a6-3a18-4a7c-a249-dd787f975188","title":"NPI Technical Program Manager","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-07T23:05:25.786+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/404111a6-3a18-4a7c-a249-dd787f975188","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/404111a6-3a18-4a7c-a249-dd787f975188/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">We are seeking a driven and resourceful Technical Program Manager to lead the charge on bringing our robot platforms online. This is your opportunity to sit at the heart of the action and make the next generation of hardware systems ready for researchers and deployments.</p><p style=\"min-height:1.5em\">You'll own the end-to-end program execution, including but not limited to development schedules, risk mitigation, build matrix management, material forecasting and planning, Clear-to-Build (CTB) analysis, logistics readiness and troubleshooting, vendor follow-up, and configuration management across our hardware programs. You'll partner closely with hardware engineering, supply chain, build, fab, and fleet integration to communicate changes, analyze risk, and execute complex build plans in support of fast-moving research and deployment timelines.</p><p style=\"min-height:1.5em\"><strong>In this role you will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Partner with Platform leads and the engineering team to drive program schedule, timelines and execution end to end.</p></li><li><p style=\"min-height:1.5em\">Own build planning and production coordination for hardware platforms from part / tooling kickoff through production output to fleet hand-off.</p></li><li><p style=\"min-height:1.5em\">Drive material forecasting, Clear-to-Build (CTB) analysis, dashboards, and readiness reporting to keep build schedules honest and risks visible.</p></li><li><p style=\"min-height:1.5em\">Manage hardware staging and acceptance hand-offs to the fleet integration team.</p></li><li><p style=\"min-height:1.5em\">Coordinate arrival of COTS hardware from global vendors, including modifications for repair, allocation, tracking, replenishment, and end-of-life management.</p></li><li><p style=\"min-height:1.5em\">Run logistics readiness and troubleshooting for incoming components, and chase down the missing 2% before it becomes a blocker.</p></li><li><p style=\"min-height:1.5em\">Route custom hardware requests across internal build and fabrication space and external vendors.</p></li><li><p style=\"min-height:1.5em\">Partner with supply chain and procurement on vendor follow-up, lead-time management, and risk mitigation on long-lead and single-source parts.</p></li><li><p style=\"min-height:1.5em\">Identify and implement process improvements in how PI plans, builds, and ships hardware as the program scales.</p></li></ul><p style=\"min-height:1.5em\"><strong>What we hope you'll bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Bachelor's degree in Engineering or a related field. <strong>Experience with shipping hardware is required.</strong></p></li><li><p style=\"min-height:1.5em\">3+ years of experience in operations, supply chain, manufacturing program support, or engineering program management, including cross-functional and vendor engagement.</p></li><li><p style=\"min-height:1.5em\">Strong organizational and project management skills, with a proven ability to drive process improvements and manage multiple priorities in a fast-paced environment.</p></li><li><p style=\"min-height:1.5em\">Proficiency with operational tools such as Notion, Linear, Excel, project trackers, and procurement, ticketing, or workflow systems.</p></li><li><p style=\"min-height:1.5em\">Excellent written and verbal communication. Able to translate engineering detail into clear status updates for both technical and executive audiences.</p></li><li><p style=\"min-height:1.5em\">Willing to travel domestically and occasionally internationally to vendors and contract manufacturers.</p></li><li><p style=\"min-height:1.5em\">Experience in R&amp;D operations, robotics, or other technical environments with complex procurement, NPI, or capitalization requirements.</p></li><li><p style=\"min-height:1.5em\">Familiarity with electromechanical systems, PCBA, machined parts, or robotics hardware.</p></li><li><p style=\"min-height:1.5em\">Direct experience with build planning, BOM management, Clear-to-Build analysis, or material readiness for hardware programs.</p></li><li><p style=\"min-height:1.5em\">Hands-on bias: a willingness to spend time on the build floor working alongside technicians and engineers.</p></li><li><p style=\"min-height:1.5em\">Ability to identify and implement process improvements using data and cross-functional input.</p></li><li><p style=\"min-height:1.5em\">Familiarity with ERP/MRP, PLM, or production tracking tools.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nWe are seeking a driven and resourceful Technical Program Manager to lead the charge on bringing our robot platforms online. This is your opportunity to sit at the heart of the action and make the next generation of hardware systems ready for researchers and deployments.\n\nYou'll own the end-to-end program execution, including but not limited to development schedules, risk mitigation, build matrix management, material forecasting and planning, Clear-to-Build (CTB) analysis, logistics readiness and troubleshooting, vendor follow-up, and configuration management across our hardware programs. You'll partner closely with hardware engineering, supply chain, build, fab, and fleet integration to communicate changes, analyze risk, and execute complex build plans in support of fast-moving research and deployment timelines.\n\nIn this role you will\n\n - Partner with Platform leads and the engineering team to drive program schedule, timelines and execution end to end.\n\n - Own build planning and production coordination for hardware platforms from part / tooling kickoff through production output to fleet hand-off.\n\n - Drive material forecasting, Clear-to-Build (CTB) analysis, dashboards, and readiness reporting to keep build schedules honest and risks visible.\n\n - Manage hardware staging and acceptance hand-offs to the fleet integration team.\n\n - Coordinate arrival of COTS hardware from global vendors, including modifications for repair, allocation, tracking, replenishment, and end-of-life management.\n\n - Run logistics readiness and troubleshooting for incoming components, and chase down the missing 2% before it becomes a blocker.\n\n - Route custom hardware requests across internal build and fabrication space and external vendors.\n\n - Partner with supply chain and procurement on vendor follow-up, lead-time management, and risk mitigation on long-lead and single-source parts.\n\n - Identify and implement process improvements in how PI plans, builds, and ships hardware as the program scales.\n\nWhat we hope you'll bring\n\n - Bachelor's degree in Engineering or a related field. Experience with shipping hardware is required.\n\n - 3+ years of experience in operations, supply chain, manufacturing program support, or engineering program management, including cross-functional and vendor engagement.\n\n - Strong organizational and project management skills, with a proven ability to drive process improvements and manage multiple priorities in a fast-paced environment.\n\n - Proficiency with operational tools such as Notion, Linear, Excel, project trackers, and procurement, ticketing, or workflow systems.\n\n - Excellent written and verbal communication. Able to translate engineering detail into clear status updates for both technical and executive audiences.\n\n - Willing to travel domestically and occasionally internationally to vendors and contract manufacturers.\n\n - Experience in R&D operations, robotics, or other technical environments with complex procurement, NPI, or capitalization requirements.\n\n - Familiarity with electromechanical systems, PCBA, machined parts, or robotics hardware.\n\n - Direct experience with build planning, BOM management, Clear-to-Build analysis, or material readiness for hardware programs.\n\n - Hands-on bias: a willingness to spend time on the build floor working alongside technicians and engineers.\n\n - Ability to identify and implement process improvements using data and cross-functional input.\n\n - Familiarity with ERP/MRP, PLM, or production tracking tools.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"16093ed0-49de-429e-81d4-6d8b5d715c01","title":"ML Infra Engineer, Platform","department":"Machine Learning","team":"Machine Learning Infrastructure","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-09T04:47:41.561+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/16093ed0-49de-429e-81d4-6d8b5d715c01","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/16093ed0-49de-429e-81d4-6d8b5d715c01/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Infrastructure team builds and operates the backbone of everything PI does: from training state-of-the-art VLA models, to orchestrating large-scale simulation, to reliably deploying intelligence across fleets of physical robots. The team works closely with researchers, robotics runtime, product, and platform engineers to ensure infrastructure scales from prototype to production-grade deployments.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Own and scale AI-native infrastructure: </strong>You will operate and evolve Kubernetes clusters and service deployment patterns, and help build a scalable microservice platform for internal systems such as evaluation services, operational tooling, and internal APIs with agent-use as the primary interface. This includes supporting safe rollouts, upgrades, and rollback strategies.</p></li><li><p style=\"min-height:1.5em\"><strong>Drive security, observability and cost-aware infrastructure: </strong>You will treat security, logging, metrics, tracing, and alerting as first-class platform primitives, and build systems that surface reliability and performance issues early. You will also help improve cost visibility and enable cost-aware decision-making at the infrastructure level.</p></li><li><p style=\"min-height:1.5em\"><strong>Harden platform foundations: </strong>You will own core infrastructure with multi-cloud considerations, designing authentication/authorization flows, networking architecture, quota and rate-limiting services, and cloud primitives that behave predictably. A major part of this work is reducing infra churn by standardizing patterns, abstractions, and interfaces.</p></li><li><p style=\"min-height:1.5em\"><strong>Improve developer experience: </strong>You will build clear, documented interfaces for using platform infrastructure, reducing the gap between “I need infra” and “I can run my workload.” This includes supporting consistent local vs. remote development workflows and improving self-serve infrastructure usage.</p></li><li><p style=\"min-height:1.5em\"><strong>Collaborate and lead through ownership: </strong>You will work closely with researchers and other engineers to understand requirements and constraints, translate fast-moving needs into reusable infrastructure, and own systems end-to-end, from design through operation.</p></li></ul><p style=\"min-height:1.5em\"><strong>What We Hope You'll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Extremely strong first-principles thinking.</p></li><li><p style=\"min-height:1.5em\">Familiarity with agent infrastructure, observability, security and sandboxing</p></li><li><p style=\"min-height:1.5em\">Deep experience with cloud platforms (GCP, AWS) and distributed systems: compute orchestration, networking, autoscaling, service meshes, load balancing.</p></li><li><p style=\"min-height:1.5em\">Ability to reason about system bottlenecks, performance tuning, and cost optimizations across compute, networking, and storage.</p></li><li><p style=\"min-height:1.5em\">Comfort with Kubernetes, cluster-level reliability, and service-oriented architectures.</p></li><li><p style=\"min-height:1.5em\">Solid intuition around scalability, performance, and failure modes.</p></li><li><p style=\"min-height:1.5em\">Experience with infrastructure-as-code (e.g. Terraform), containerization, and modern platform engineering practices.</p></li><li><p style=\"min-height:1.5em\">Familiarity with logging, metrics, tracing, incident response, SLOs, and debugging complex distributed systems.</p></li><li><p style=\"min-height:1.5em\">Strong cross-functional communication and ownership mindset.</p></li><li><p style=\"min-height:1.5em\">Experience (4-6 years) working in fast-moving or early-stage environments where ambiguity is normal with demonstrated growth trajectory.</p></li></ul><p style=\"min-height:1.5em\"><em>Ultimately,</em> we’re looking for someone who can spin up quickly on unfamiliar and ambiguous domains, has a strong sense of ownership, and cares deeply about our mission. Even if you don’t check all the boxes above, we strongly encourage you to apply if this sounds like you.</p><p style=\"min-height:1.5em\"><strong>Bonus Points If You Have</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with large-scale ML training, evaluation, or simulation infrastructure.</p></li><li><p style=\"min-height:1.5em\">Experience with secrets management systems (e.g., Doppler).</p></li><li><p style=\"min-height:1.5em\">Background in observability, cost optimization, or internal platform tooling.</p></li><li><p style=\"min-height:1.5em\">Exposure to robotics, simulation, or real-time systems.</p></li></ul><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Who We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nThe Team\n\nThe Infrastructure team builds and operates the backbone of everything PI does: from training state-of-the-art VLA models, to orchestrating large-scale simulation, to reliably deploying intelligence across fleets of physical robots. The team works closely with researchers, robotics runtime, product, and platform engineers to ensure infrastructure scales from prototype to production-grade deployments.\n\nIn This Role You Will\n\n - Own and scale AI-native infrastructure: You will operate and evolve Kubernetes clusters and service deployment patterns, and help build a scalable microservice platform for internal systems such as evaluation services, operational tooling, and internal APIs with agent-use as the primary interface. This includes supporting safe rollouts, upgrades, and rollback strategies.\n\n - Drive security, observability and cost-aware infrastructure: You will treat security, logging, metrics, tracing, and alerting as first-class platform primitives, and build systems that surface reliability and performance issues early. You will also help improve cost visibility and enable cost-aware decision-making at the infrastructure level.\n\n - Harden platform foundations: You will own core infrastructure with multi-cloud considerations, designing authentication/authorization flows, networking architecture, quota and rate-limiting services, and cloud primitives that behave predictably. A major part of this work is reducing infra churn by standardizing patterns, abstractions, and interfaces.\n\n - Improve developer experience: You will build clear, documented interfaces for using platform infrastructure, reducing the gap between “I need infra” and “I can run my workload.” This includes supporting consistent local vs. remote development workflows and improving self-serve infrastructure usage.\n\n - Collaborate and lead through ownership: You will work closely with researchers and other engineers to understand requirements and constraints, translate fast-moving needs into reusable infrastructure, and own systems end-to-end, from design through operation.\n\nWhat We Hope You'll Bring\n\n - Extremely strong first-principles thinking.\n\n - Familiarity with agent infrastructure, observability, security and sandboxing\n\n - Deep experience with cloud platforms (GCP, AWS) and distributed systems: compute orchestration, networking, autoscaling, service meshes, load balancing.\n\n - Ability to reason about system bottlenecks, performance tuning, and cost optimizations across compute, networking, and storage.\n\n - Comfort with Kubernetes, cluster-level reliability, and service-oriented architectures.\n\n - Solid intuition around scalability, performance, and failure modes.\n\n - Experience with infrastructure-as-code (e.g. Terraform), containerization, and modern platform engineering practices.\n\n - Familiarity with logging, metrics, tracing, incident response, SLOs, and debugging complex distributed systems.\n\n - Strong cross-functional communication and ownership mindset.\n\n - Experience (4-6 years) working in fast-moving or early-stage environments where ambiguity is normal with demonstrated growth trajectory.\n\nUltimately, we’re looking for someone who can spin up quickly on unfamiliar and ambiguous domains, has a strong sense of ownership, and cares deeply about our mission. Even if you don’t check all the boxes above, we strongly encourage you to apply if this sounds like you.\n\nBonus Points If You Have\n\n - Experience with large-scale ML training, evaluation, or simulation infrastructure.\n\n - Experience with secrets management systems (e.g., Doppler).\n\n - Background in observability, cost optimization, or internal platform tooling.\n\n - Exposure to robotics, simulation, or real-time systems.\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"eb3ed968-630f-429a-9e44-5508b77d554b","title":"Robot Operator","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-06T17:46:02.166+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/eb3ed968-630f-429a-9e44-5508b77d554b","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/eb3ed968-630f-429a-9e44-5508b77d554b/application","descriptionHtml":"<h2><strong>About Physical Intelligence</strong></h2><p style=\"min-height:1.5em\">Physical Intelligence is building the future where AI-powered robots seamlessly integrate into our daily lives. Imagine a robot that can fold your laundry, prepare meals, and organize your space. Picture robots in warehouses that can handle any package, or manufacturing robots that can adapt to new products without reprogramming. We're making this vision reality by developing general-purpose AI that can control robots to perform any physical task.</p><p style=\"min-height:1.5em\">Our team of engineers, scientists, and roboticists is creating foundation models—the same breakthrough technology behind ChatGPT—but for the physical world. Just as language models learned to understand and generate text from massive datasets, our robots learn to interact with the physical world through high-quality demonstration data.<br /></p><h2><strong>The Role</strong></h2><p style=\"min-height:1.5em\">Data collection is the fuel that drives our mission. Every robot movement, every successful task completion, every demonstration you provide teaches our AI systems how to interact with the physical world. As a Robot Operator, you're not just controlling robots—you're literally training the AI that will power the next generation of intelligent machines.</p><p style=\"min-height:1.5em\">You'll be at the forefront of robotics AI, working hands-on with cutting-edge robotic systems to generate the high-quality training data our models need. Your precise demonstrations teach our AI everything from delicate manipulation tasks to complex multi-step processes. This is your chance to directly contribute to technology that will transform how robots help humans in homes, workplaces, and beyond.<br /></p><h2><strong>What You'll Do</strong></h2><p style=\"min-height:1.5em\"><strong>Primary Responsibilities</strong></p><p style=\"min-height:1.5em\">- Teleoperate robotic arms through a variety of tasks using our intuitive control systems</p><p style=\"min-height:1.5em\">- Either lead robot movements with your arms (the robot mirrors your actions) or guide robots using specialized controllers</p><p style=\"min-height:1.5em\">- Complete diverse tasks ranging from household activities like folding laundry to complex assembly work</p><p style=\"min-height:1.5em\">- Maintain high standards for data quality and consistency across all demonstrations</p><p style=\"min-height:1.5em\">- Meet established metrics for data collection volume and quality during your shift</p><p style=\"min-height:1.5em\"><strong>Important Note:</strong> This is a metrics-based role where you'll be expected to meet specific data collection goals throughout your shift. The work involves repetitive task execution, and the quality of data collection is extremely important to our AI training success. Watch some examples of training here:<a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https://drive.google.com/drive/u/0/folders/1YPNYJxKF4i2U41o9pi5AzHCQFYaf2dnw\"> <u>https://drive.google.com/drive/u/0/folders/1YPNYJxKF4i2U41o9pi5AzHCQFYaf2dnw</u></a></p><p style=\"min-height:1.5em\"><strong>Example Tasks You'll Train Robots On</strong></p><p style=\"min-height:1.5em\">- Picking up grocery items and placing them in shipping bags</p><p style=\"min-height:1.5em\">- Sorting cups, plates, and utensils into bins</p><p style=\"min-height:1.5em\">- Opening and closing jars of various sizes</p><p style=\"min-height:1.5em\">- Folding different types of clothing and fabrics</p><p style=\"min-height:1.5em\">- Installing light bulbs and other simple assembly tasks</p><p style=\"min-height:1.5em\">- Multi-step electronics assembly processes</p><p style=\"min-height:1.5em\"><strong>Additional Duties</strong></p><p style=\"min-height:1.5em\">- Review and annotate videos of robot task performances using computer interfaces</p><p style=\"min-height:1.5em\">- Provide detailed feedback on robot performance and data quality</p><p style=\"min-height:1.5em\">- Assist with equipment setup and basic office tasks as needed</p><p style=\"min-height:1.5em\">- Participate in process improvements to enhance data collection efficiency</p><p style=\"min-height:1.5em\"><strong>Physical Requirements</strong></p><p style=\"min-height:1.5em\">- Ability to stand at a workstation for 8-hour shifts</p><p style=\"min-height:1.5em\">- Full use of both arms and hands for robot control</p><p style=\"min-height:1.5em\">- Good hand-eye coordination and manual dexterity</p><p style=\"min-height:1.5em\">- Attention to detail for quality control</p><h2><br /><strong>Work Environment &amp; Schedule</strong></h2><p style=\"min-height:1.5em\"><strong>Shift Options</strong> (8 hours with 30-minute lunch + two paid breaks):</p><p style=\"min-height:1.5em\"><strong>- Evening:</strong> 4:00 PM - 12:00 AM PT</p><p style=\"min-height:1.5em\"><strong>- Overnight:</strong> 12:00 AM -8:00 AM PT<br /></p><p style=\"min-height:1.5em\"><strong>Shift patterns:</strong> Mon-Fri, Wed-Sun, Sat-Wed<br /></p><p style=\"min-height:1.5em\"><strong>Full-Time Employment</strong><br /><strong>Commitment:</strong> Minimum 5 days per week</p><p style=\"min-height:1.5em\"><strong>Compensation:</strong> $25/hour<br /><strong>Benefits:</strong> 401(k), Health insurance, Paid time off, Vision insurance, Dental insurance, Paid sick time, Commuter assistance</p><p style=\"min-height:1.5em\"><br /><strong>What We're Looking For</strong></p><p style=\"min-height:1.5em\"><strong>Ideal Background</strong></p><p style=\"min-height:1.5em\">-  Experience with hands-on technical work, lab environments, or precision tasks</p><p style=\"min-height:1.5em\">- Interest in AI, robotics, and cutting-edge technology</p><p style=\"min-height:1.5em\">- Strong attention to detail and quality focus</p><p style=\"min-height:1.5em\"><strong>Key Qualities</strong></p><p style=\"min-height:1.5em\">- Meticulous attention to detail—data quality is crucial for AI training</p><p style=\"min-height:1.5em\">- Good manual dexterity and hand-eye coordination</p><p style=\"min-height:1.5em\">- Enjoys repetitive, precision-focused work</p><p style=\"min-height:1.5em\">- Thrives in fast-paced, metrics-driven environments</p><p style=\"min-height:1.5em\">- Excited about contributing to breakthrough AI research</p><p style=\"min-height:1.5em\">- Collaborative mindset and strong work ethic</p><p style=\"min-height:1.5em\"><strong>Nice to Have</strong></p><p style=\"min-height:1.5em\">- Experience with robotics systems or automation</p><p style=\"min-height:1.5em\">- Background in manufacturing, assembly, or laboratory work</p><p style=\"min-height:1.5em\">- Familiarity with AI/ML concepts</p><p style=\"min-height:1.5em\">- Gaming or simulation experience with controllers</p><h2><br /><strong>Why This Role Matters</strong></h2><p style=\"min-height:1.5em\">You'll be part of the team building the foundation for general-purpose robotics AI. Every demonstration you provide directly impacts our ability to create robots that can help with household chores, assist in workplaces, and improve quality of life. This is a rare opportunity to work at the cutting edge of AI and robotics while developing valuable technical skills in a rapidly growing field.</p><p style=\"min-height:1.5em\">Ready to help train the robots of tomorrow? We'd love to connect with you!</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"ABOUT PHYSICAL INTELLIGENCE\n\nPhysical Intelligence is building the future where AI-powered robots seamlessly integrate into our daily lives. Imagine a robot that can fold your laundry, prepare meals, and organize your space. Picture robots in warehouses that can handle any package, or manufacturing robots that can adapt to new products without reprogramming. We're making this vision reality by developing general-purpose AI that can control robots to perform any physical task.\n\nOur team of engineers, scientists, and roboticists is creating foundation models—the same breakthrough technology behind ChatGPT—but for the physical world. Just as language models learned to understand and generate text from massive datasets, our robots learn to interact with the physical world through high-quality demonstration data.\n\n\n\nTHE ROLE\n\nData collection is the fuel that drives our mission. Every robot movement, every successful task completion, every demonstration you provide teaches our AI systems how to interact with the physical world. As a Robot Operator, you're not just controlling robots—you're literally training the AI that will power the next generation of intelligent machines.\n\nYou'll be at the forefront of robotics AI, working hands-on with cutting-edge robotic systems to generate the high-quality training data our models need. Your precise demonstrations teach our AI everything from delicate manipulation tasks to complex multi-step processes. This is your chance to directly contribute to technology that will transform how robots help humans in homes, workplaces, and beyond.\n\n\n\nWHAT YOU'LL DO\n\nPrimary Responsibilities\n\n- Teleoperate robotic arms through a variety of tasks using our intuitive control systems\n\n- Either lead robot movements with your arms (the robot mirrors your actions) or guide robots using specialized controllers\n\n- Complete diverse tasks ranging from household activities like folding laundry to complex assembly work\n\n- Maintain high standards for data quality and consistency across all demonstrations\n\n- Meet established metrics for data collection volume and quality during your shift\n\nImportant Note: This is a metrics-based role where you'll be expected to meet specific data collection goals throughout your shift. The work involves repetitive task execution, and the quality of data collection is extremely important to our AI training success. Watch some examples of training here: https://drive.google.com/drive/u/0/folders/1YPNYJxKF4i2U41o9pi5AzHCQFYaf2dnw https://drive.google.com/drive/u/0/folders/1YPNYJxKF4i2U41o9pi5AzHCQFYaf2dnw\n\nExample Tasks You'll Train Robots On\n\n- Picking up grocery items and placing them in shipping bags\n\n- Sorting cups, plates, and utensils into bins\n\n- Opening and closing jars of various sizes\n\n- Folding different types of clothing and fabrics\n\n- Installing light bulbs and other simple assembly tasks\n\n- Multi-step electronics assembly processes\n\nAdditional Duties\n\n- Review and annotate videos of robot task performances using computer interfaces\n\n- Provide detailed feedback on robot performance and data quality\n\n- Assist with equipment setup and basic office tasks as needed\n\n- Participate in process improvements to enhance data collection efficiency\n\nPhysical Requirements\n\n- Ability to stand at a workstation for 8-hour shifts\n\n- Full use of both arms and hands for robot control\n\n- Good hand-eye coordination and manual dexterity\n\n- Attention to detail for quality control\n\n\n\nWORK ENVIRONMENT & SCHEDULE\n\nShift Options (8 hours with 30-minute lunch + two paid breaks):\n\n- Evening: 4:00 PM - 12:00 AM PT\n\n- Overnight: 12:00 AM -8:00 AM PT\n\n\nShift patterns: Mon-Fri, Wed-Sun, Sat-Wed\n\n\nFull-Time Employment\nCommitment: Minimum 5 days per week\n\nCompensation: $25/hour\nBenefits: 401(k), Health insurance, Paid time off, Vision insurance, Dental insurance, Paid sick time, Commuter assistance\n\n\nWhat We're Looking For\n\nIdeal Background\n\n-  Experience with hands-on technical work, lab environments, or precision tasks\n\n- Interest in AI, robotics, and cutting-edge technology\n\n- Strong attention to detail and quality focus\n\nKey Qualities\n\n- Meticulous attention to detail—data quality is crucial for AI training\n\n- Good manual dexterity and hand-eye coordination\n\n- Enjoys repetitive, precision-focused work\n\n- Thrives in fast-paced, metrics-driven environments\n\n- Excited about contributing to breakthrough AI research\n\n- Collaborative mindset and strong work ethic\n\nNice to Have\n\n- Experience with robotics systems or automation\n\n- Background in manufacturing, assembly, or laboratory work\n\n- Familiarity with AI/ML concepts\n\n- Gaming or simulation experience with controllers\n\n\n\nWHY THIS ROLE MATTERS\n\nYou'll be part of the team building the foundation for general-purpose robotics AI. Every demonstration you provide directly impacts our ability to create robots that can help with household chores, assist in workplaces, and improve quality of life. This is a rare opportunity to work at the cutting edge of AI and robotics while developing valuable technical skills in a rapidly growing field.\n\nReady to help train the robots of tomorrow? We'd love to connect with you!\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"f6bee7a7-57ae-4ec1-9276-ae3bcbdc7327","title":"Robotics Software Engineer","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-01-06T03:37:16.832+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/f6bee7a7-57ae-4ec1-9276-ae3bcbdc7327","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/f6bee7a7-57ae-4ec1-9276-ae3bcbdc7327/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">Achieving real-world performance requires extremely tight system latency, reliable sensor pipelines, and end-to-end engineering that makes perception and control loops work at real-time speeds.</p><p style=\"min-height:1.5em\">As a Runtime Software Engineer, you’ll engineer the low-latency, high-throughput systems that underpin our physical intelligence model. You won’t be designing ML models - you’ll be the person who makes them <em>run flawlessly in production</em>, optimizing every layer from OS to camera pipeline to networking. You’ll collaborate closely with researchers, platform engineers, and robotics operators to identify bottlenecks and extract maximum performance from the entire system.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Runtime team is responsible for building the core platform that Pi’s robots, sensors, and evaluation pipelines rely on. The team spans Linux systems engineering, camera and sensor pipelines, robot actuator controllers, networking, real-time IO, and performance tooling. They ensure our ML models and control systems operate under strict latency budgets and are robust under real-world conditions.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><p style=\"min-height:1.5em\"><strong>-Own Real-Time Pipelines:</strong> Engineer low-latency, high-reliability sensor and actuator pipelines across Linux, drivers, and middleware.</p><p style=\"min-height:1.5em\"><strong>-Optimize System Performance:</strong> Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput.</p><p style=\"min-height:1.5em\"><strong>-Build OS-Level Capabilities:</strong> Extend or modify Linux components, drivers, and scheduling to achieve deterministic behavior under load.</p><p style=\"min-height:1.5em\"><strong>-Streaming &amp; Video Systems:</strong> Develop and optimize real-time video streaming systems where frame timing and packet scheduling matter.</p><p style=\"min-height:1.5em\"><strong>-Reliability &amp; Debugging:</strong> Build tooling for profiling, tracing, and debugging timing issues across distributed systems and hardware interfaces.</p><p style=\"min-height:1.5em\"><strong>-Cross-Functional Collaboration:</strong> Work with researchers, hardware engineers, and operations teams to integrate optimized pipelines into production workflows.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><p style=\"min-height:1.5em\">-Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software.</p><p style=\"min-height:1.5em\">-Experience with Linux systems programming (syscalls, drivers, kernel parameters, scheduling, memory/IO subsystems).</p><p style=\"min-height:1.5em\">-Background in real-time or near–real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems where latency budgets are strict.</p><p style=\"min-height:1.5em\">-Ability to optimize across the entire stack - kernel scheduling, drivers, networking, GPU/CPU workloads, video frameworks, and distributed components.</p><p style=\"min-height:1.5em\">-Experience with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and comfort diving into complex performance issues.</p><p style=\"min-height:1.5em\">-A mindset oriented around determinism, throughput, frame budgets, jitter minimization, and real-time correctness.</p><p style=\"min-height:1.5em\">-Ability to collaborate deeply with researchers and platform engineers to translate high-level model requirements into real-world system performance.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Bonus Points If You Have</strong></p><p style=\"min-height:1.5em\">-Experience with VR/AR platforms or low-latency 3D engines.</p><p style=\"min-height:1.5em\">-Camera system expertise (synchronization, capture pipelines, codecs, GPU offload).</p><p style=\"min-height:1.5em\">-Streaming/video conferencing stack experience (WebRTC, real-time transport optimizations).</p><p style=\"min-height:1.5em\">-Background in robotics, autonomous systems, SLAM pipelines, or perception systems (implementation, not research).</p><p style=\"min-height:1.5em\">-Expertise in kernel-level engineering, device drivers, or high-performance networking.</p><p style=\"min-height:1.5em\">-Familiarity with distributed systems that process real-time data flows.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"Who We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nAchieving real-world performance requires extremely tight system latency, reliable sensor pipelines, and end-to-end engineering that makes perception and control loops work at real-time speeds.\n\nAs a Runtime Software Engineer, you’ll engineer the low-latency, high-throughput systems that underpin our physical intelligence model. You won’t be designing ML models - you’ll be the person who makes them run flawlessly in production, optimizing every layer from OS to camera pipeline to networking. You’ll collaborate closely with researchers, platform engineers, and robotics operators to identify bottlenecks and extract maximum performance from the entire system.\n\n\n\nThe Team\n\nThe Runtime team is responsible for building the core platform that Pi’s robots, sensors, and evaluation pipelines rely on. The team spans Linux systems engineering, camera and sensor pipelines, robot actuator controllers, networking, real-time IO, and performance tooling. They ensure our ML models and control systems operate under strict latency budgets and are robust under real-world conditions.\n\n\n\nIn This Role You Will\n\n-Own Real-Time Pipelines: Engineer low-latency, high-reliability sensor and actuator pipelines across Linux, drivers, and middleware.\n\n-Optimize System Performance: Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput.\n\n-Build OS-Level Capabilities: Extend or modify Linux components, drivers, and scheduling to achieve deterministic behavior under load.\n\n-Streaming & Video Systems: Develop and optimize real-time video streaming systems where frame timing and packet scheduling matter.\n\n-Reliability & Debugging: Build tooling for profiling, tracing, and debugging timing issues across distributed systems and hardware interfaces.\n\n-Cross-Functional Collaboration: Work with researchers, hardware engineers, and operations teams to integrate optimized pipelines into production workflows.\n\n\n\nWhat We Hope You’ll Bring\n\n-Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software.\n\n-Experience with Linux systems programming (syscalls, drivers, kernel parameters, scheduling, memory/IO subsystems).\n\n-Background in real-time or near–real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems where latency budgets are strict.\n\n-Ability to optimize across the entire stack - kernel scheduling, drivers, networking, GPU/CPU workloads, video frameworks, and distributed components.\n\n-Experience with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and comfort diving into complex performance issues.\n\n-A mindset oriented around determinism, throughput, frame budgets, jitter minimization, and real-time correctness.\n\n-Ability to collaborate deeply with researchers and platform engineers to translate high-level model requirements into real-world system performance.\n\n\n\nBonus Points If You Have\n\n-Experience with VR/AR platforms or low-latency 3D engines.\n\n-Camera system expertise (synchronization, capture pipelines, codecs, GPU offload).\n\n-Streaming/video conferencing stack experience (WebRTC, real-time transport optimizations).\n\n-Background in robotics, autonomous systems, SLAM pipelines, or perception systems (implementation, not research).\n\n-Expertise in kernel-level engineering, device drivers, or high-performance networking.\n\n-Familiarity with distributed systems that process real-time data flows.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"c2c1faae-acb6-4c8b-bd0d-e7e180ac8d94","title":"Business Operations","department":"Business","team":"Business","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-02-02T18:01:04.048+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/c2c1faae-acb6-4c8b-bd0d-e7e180ac8d94","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/c2c1faae-acb6-4c8b-bd0d-e7e180ac8d94/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">As the company scales, success increasingly depends not just on research excellence, but on strong business execution - across partnerships, operations, infrastructure, and deployment.</p><p style=\"min-height:1.5em\">Success in this role looks like independently identifying the highest-leverage problems, structuring them into executable plans, and driving them to measurable outcomes with minimal founder involvement.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">This role sits close to the founders and works cross-functionally with research, engineering, operations, finance, legal, and external partners. There is no single “lane”, the mandate is to add leverage wherever the company most needs it.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><p style=\"min-height:1.5em\">- Own and execute cross-functional projects with high ambiguity and real business impact.</p><p style=\"min-height:1.5em\">- Drive data, compute, and infrastructure partnerships, from sourcing through negotiation and management.</p><p style=\"min-height:1.5em\">- Plug into deployment efforts: sourcing opportunities, structuring contracts, pricing, and operational setup.</p><p style=\"min-height:1.5em\">- Assist with and drive internal scaling initiatives such as office expansion, international operations, and company planning.</p><p style=\"min-height:1.5em\">- Support investor, board, and external communications including decks, analyses, and prep.</p><p style=\"min-height:1.5em\">- Act as an execution arm for founders and leaders, translating priorities into outcomes.</p><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><p style=\"min-height:1.5em\">- Strong analytical and strategic instincts with a bias toward action.</p><p style=\"min-height:1.5em\">- Comfort operating independently in ambiguous environments.</p><p style=\"min-height:1.5em\">- Commercial mindset and basic financial fluency (contracts, pricing, tradeoffs).</p><p style=\"min-height:1.5em\">- Exceptional written and verbal communication.</p><p style=\"min-height:1.5em\">- Willingness to do anything, paired with strong prioritization instincts and comfort pushing back when work is low-leverage.</p><p style=\"min-height:1.5em\">- Strong π-fit: respect for research and engineering culture, curiosity, and intellectual humility.</p><p style=\"min-height:1.5em\"><strong>Bonus Points If You Have</strong></p><p style=\"min-height:1.5em\">- Background in consulting, venture capital, private equity, or finance.</p><p style=\"min-height:1.5em\">- Experience negotiating vendor, data, or infrastructure agreements.</p><p style=\"min-height:1.5em\">- Exposure to startups that have scaled quickly or inflected suddenly.</p><p style=\"min-height:1.5em\">- International operations or cross-border project experience.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Who We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nAs the company scales, success increasingly depends not just on research excellence, but on strong business execution - across partnerships, operations, infrastructure, and deployment.\n\nSuccess in this role looks like independently identifying the highest-leverage problems, structuring them into executable plans, and driving them to measurable outcomes with minimal founder involvement.\n\nThe Team\n\nThis role sits close to the founders and works cross-functionally with research, engineering, operations, finance, legal, and external partners. There is no single “lane”, the mandate is to add leverage wherever the company most needs it.\n\nIn This Role You Will\n\n- Own and execute cross-functional projects with high ambiguity and real business impact.\n\n- Drive data, compute, and infrastructure partnerships, from sourcing through negotiation and management.\n\n- Plug into deployment efforts: sourcing opportunities, structuring contracts, pricing, and operational setup.\n\n- Assist with and drive internal scaling initiatives such as office expansion, international operations, and company planning.\n\n- Support investor, board, and external communications including decks, analyses, and prep.\n\n- Act as an execution arm for founders and leaders, translating priorities into outcomes.\n\nWhat We Hope You’ll Bring\n\n- Strong analytical and strategic instincts with a bias toward action.\n\n- Comfort operating independently in ambiguous environments.\n\n- Commercial mindset and basic financial fluency (contracts, pricing, tradeoffs).\n\n- Exceptional written and verbal communication.\n\n- Willingness to do anything, paired with strong prioritization instincts and comfort pushing back when work is low-leverage.\n\n- Strong π-fit: respect for research and engineering culture, curiosity, and intellectual humility.\n\nBonus Points If You Have\n\n- Background in consulting, venture capital, private equity, or finance.\n\n- Experience negotiating vendor, data, or infrastructure agreements.\n\n- Exposure to startups that have scaled quickly or inflected suddenly.\n\n- International operations or cross-border project experience.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"c8f9e9aa-8801-4916-9b1f-2c0bd5f072f9","title":"Controls Engineer","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-01-07T20:16:15.835+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/c8f9e9aa-8801-4916-9b1f-2c0bd5f072f9","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/c8f9e9aa-8801-4916-9b1f-2c0bd5f072f9/application","descriptionHtml":"<p style=\"min-height:1.5em\">As a Controls Engineer, you will design and implement the algorithms that make PI’s robots behave predictably, smoothly, and safely under varied and uncertain conditions.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Controls team builds and tunes the core feedback and model-based algorithms, real-time loops, simulations, and actuator/sensor subsystems that make PI’s robots stable and reliable. They work closely with research, hardware, and operations to debug complex system behaviors and ensure our learning-based systems operate under strict real-time constraints in unpredictable environments.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Design &amp; implement control algorithms: </strong>PID, LQR, MPC, inverse dynamics, and feedforward controllers.</p></li><li><p style=\"min-height:1.5em\"><strong>Build &amp; validate models: </strong>Create and refine physical and inverse dynamics models for simulation and control design.</p></li><li><p style=\"min-height:1.5em\"><strong>Develop real-time loops: </strong>Write and optimize runtime control loops, including neural-network-driven control.</p></li><li><p style=\"min-height:1.5em\"><strong>Own robotic bring-up: </strong>Integrate and tune arms, mobile bases, teleop systems, and full-body platforms.</p></li><li><p style=\"min-height:1.5em\"><strong>Debug complex system behaviors: </strong>Diagnose and resolve hardware/software/runtime issues using first-principles reasoning.</p></li><li><p style=\"min-height:1.5em\"><strong>Build sensor/actuator subsystems: </strong>Work with embedded systems, drivers, and communication protocols (CAN, SPI, I2C, Ethernet).</p></li><li><p style=\"min-height:1.5em\"><strong>Partner cross-functionally:</strong> Work with researchers, platform engineers, and operators to ensure stable, predictable real-world behavior.</p></li><li><p style=\"min-height:1.5em\"><strong>Support R&amp;D: </strong>Prototype configurations, collect structured datasets, and iterate directly with researchers.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Deep understanding of model-based control algorithms and inverse dynamics</p></li><li><p style=\"min-height:1.5em\">Ability to validate control approaches in simulation and translate them to real hardware</p></li><li><p style=\"min-height:1.5em\">Proficiency in Python and C++, including firmware-adjacent development</p></li><li><p style=\"min-height:1.5em\">Skill in writing and tuning real-time control loops</p></li><li><p style=\"min-height:1.5em\">Hands-on capability to debug electromechanical systems end-to-end</p></li><li><p style=\"min-height:1.5em\">Familiarity with embedded communication protocols (CAN, SPI, I2C, Ethernet)</p></li><li><p style=\"min-height:1.5em\">Clear communication with researchers, hardware teams, and operators</p></li><li><p style=\"min-height:1.5em\">A structured, collaborative approach to solving complex system issues</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Bonus Points If You Have</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Background in manipulation or mobile robotic platforms</p></li><li><p style=\"min-height:1.5em\">Exposure to robot learning or integrating learned policies into control stacks</p></li><li><p style=\"min-height:1.5em\">Ability to design or refine custom actuator or sensor hardware</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"As a Controls Engineer, you will design and implement the algorithms that make PI’s robots behave predictably, smoothly, and safely under varied and uncertain conditions.\n\n\n\nThe Team\n\nThe Controls team builds and tunes the core feedback and model-based algorithms, real-time loops, simulations, and actuator/sensor subsystems that make PI’s robots stable and reliable. They work closely with research, hardware, and operations to debug complex system behaviors and ensure our learning-based systems operate under strict real-time constraints in unpredictable environments.\n\n\n\nIn This Role You Will\n\n - Design & implement control algorithms: PID, LQR, MPC, inverse dynamics, and feedforward controllers.\n\n - Build & validate models: Create and refine physical and inverse dynamics models for simulation and control design.\n\n - Develop real-time loops: Write and optimize runtime control loops, including neural-network-driven control.\n\n - Own robotic bring-up: Integrate and tune arms, mobile bases, teleop systems, and full-body platforms.\n\n - Debug complex system behaviors: Diagnose and resolve hardware/software/runtime issues using first-principles reasoning.\n\n - Build sensor/actuator subsystems: Work with embedded systems, drivers, and communication protocols (CAN, SPI, I2C, Ethernet).\n\n - Partner cross-functionally: Work with researchers, platform engineers, and operators to ensure stable, predictable real-world behavior.\n\n - Support R&D: Prototype configurations, collect structured datasets, and iterate directly with researchers.\n\n\n\nWhat We Hope You’ll Bring\n\n - Deep understanding of model-based control algorithms and inverse dynamics\n\n - Ability to validate control approaches in simulation and translate them to real hardware\n\n - Proficiency in Python and C++, including firmware-adjacent development\n\n - Skill in writing and tuning real-time control loops\n\n - Hands-on capability to debug electromechanical systems end-to-end\n\n - Familiarity with embedded communication protocols (CAN, SPI, I2C, Ethernet)\n\n - Clear communication with researchers, hardware teams, and operators\n\n - A structured, collaborative approach to solving complex system issues\n\n\n\nBonus Points If You Have\n\n - Background in manipulation or mobile robotic platforms\n\n - Exposure to robot learning or integrating learned policies into control stacks\n\n - Ability to design or refine custom actuator or sensor hardware\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"0bcf909e-b38b-4276-91a1-e55c4c56a33a","title":"Mechatronics Intern","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-17T02:56:29.604+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/0bcf909e-b38b-4276-91a1-e55c4c56a33a","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/0bcf909e-b38b-4276-91a1-e55c4c56a33a/application","descriptionHtml":"<p style=\"min-height:1.5em\">Fundamentally, a builder. Someone who loves to make robots real. We want someone who’s as comfortable debugging a CAN bus issue as they are machining a bracket — an individual who thinks in systems, and who gets excited by tight integration between mechanical, electrical, and embedded design. You’ll join the core Hardware Engineering team at Physical Intelligence who is supporting the robots that power PI’s data collection and model training operations.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The core Hardware Engineering team designs and builds the robotic arms, mobile platforms, and end-effectors that underpin PI’s data collection and model training operations. They work across mechanical, electrical, embedded, and software disciplines to iterate quickly on prototypes, bring up new subsystems, and keep the fleet performant in real-world environments.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Subsystem Design &amp; Test: </strong>Design, build, and test key subsystems for various robotic arms and mobile platforms — including actuation, sensing, enclosures, and power systems.</p></li><li><p style=\"min-height:1.5em\"><strong>Hands-On Prototyping: </strong>Work hands-on with prototypes in our hardware lab, including bring-up, assembly, calibration, and reliability testing of arms, lifts, mobile bases, and end-effectors.</p></li><li><p style=\"min-height:1.5em\"><strong>Cross-Disciplinary Integration: </strong>Integrate cross-disciplinary inputs from mechanical, electrical, and software teams to root-cause mission-critical issues and drive high-level system performance.</p></li><li><p style=\"min-height:1.5em\"><strong>Data-Driven Iteration: </strong>Analyze data from deployments to inform design iteration and reliability improvements.</p></li><li><p style=\"min-height:1.5em\"><strong>Full-Stack Subsystem Ownership: </strong>Own the full stack of a subsystem from CAD to PCB to bench testing.</p></li></ul><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Completed 3A Mechanical or Mechatronics Engineering. Students below 3A with exceptional projects, GitHubs, portfolios, and work experience will also be considered.</p></li><li><p style=\"min-height:1.5em\">Strong mechanical and electromechanical design fundamentals (dynamic loading, FEA, DFM).</p></li><li><p style=\"min-height:1.5em\">Familiarity with embedded and mechatronic systems (CAN, BLDC control, motor controllers).</p></li><li><p style=\"min-height:1.5em\">Proficiency in CAD (NX, OnShape, SolidWorks) and rapid prototyping tools (3D printing — SLA and FDM — laser cutting).</p></li><li><p style=\"min-height:1.5em\">Basic electrical design and debug (schematics, soldering, test equipment).</p></li><li><p style=\"min-height:1.5em\">Data-driven debugging and test planning (Python, MATLAB, or similar).</p></li></ul><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Exposure to manufacturing or assembly environments.</p></li><li><p style=\"min-height:1.5em\">Prior experience in robotics, autonomous systems, or hardware startups.</p></li></ul><p style=\"min-height:1.5em\">The duration of this internship is January-May 2027.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Fundamentally, a builder. Someone who loves to make robots real. We want someone who’s as comfortable debugging a CAN bus issue as they are machining a bracket — an individual who thinks in systems, and who gets excited by tight integration between mechanical, electrical, and embedded design. You’ll join the core Hardware Engineering team at Physical Intelligence who is supporting the robots that power PI’s data collection and model training operations.\n\nThe Team\n\nThe core Hardware Engineering team designs and builds the robotic arms, mobile platforms, and end-effectors that underpin PI’s data collection and model training operations. They work across mechanical, electrical, embedded, and software disciplines to iterate quickly on prototypes, bring up new subsystems, and keep the fleet performant in real-world environments.\n\nIn This Role You Will\n\n - Subsystem Design & Test: Design, build, and test key subsystems for various robotic arms and mobile platforms — including actuation, sensing, enclosures, and power systems.\n\n - Hands-On Prototyping: Work hands-on with prototypes in our hardware lab, including bring-up, assembly, calibration, and reliability testing of arms, lifts, mobile bases, and end-effectors.\n\n - Cross-Disciplinary Integration: Integrate cross-disciplinary inputs from mechanical, electrical, and software teams to root-cause mission-critical issues and drive high-level system performance.\n\n - Data-Driven Iteration: Analyze data from deployments to inform design iteration and reliability improvements.\n\n - Full-Stack Subsystem Ownership: Own the full stack of a subsystem from CAD to PCB to bench testing.\n\nWhat We Hope You’ll Bring\n\n - Completed 3A Mechanical or Mechatronics Engineering. Students below 3A with exceptional projects, GitHubs, portfolios, and work experience will also be considered.\n\n - Strong mechanical and electromechanical design fundamentals (dynamic loading, FEA, DFM).\n\n - Familiarity with embedded and mechatronic systems (CAN, BLDC control, motor controllers).\n\n - Proficiency in CAD (NX, OnShape, SolidWorks) and rapid prototyping tools (3D printing — SLA and FDM — laser cutting).\n\n - Basic electrical design and debug (schematics, soldering, test equipment).\n\n - Data-driven debugging and test planning (Python, MATLAB, or similar).\n\nBonus Points\n\n - Exposure to manufacturing or assembly environments.\n\n - Prior experience in robotics, autonomous systems, or hardware startups.\n\nThe duration of this internship is January-May 2027.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"567d620f-7600-4e35-9edd-f41ed4db45ce","title":"Forward Deployed Robotics Engineer","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2025-11-17T21:36:46.127+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/567d620f-7600-4e35-9edd-f41ed4db45ce","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/567d620f-7600-4e35-9edd-f41ed4db45ce/application","descriptionHtml":"<h3><strong>Role Overview</strong></h3><p style=\"min-height:1.5em\">As a <strong>Forward Deployed Robotics Engineer</strong>, you'll serve as the first line of technical defense for our growing fleet of robotic systems deployed across warehouse and external data-collection environments. Our diverse robot fleet—including both static and mobile systems—performs complex manipulation and sensing tasks in real-world settings. When issues arise, you'll be the first responder: analyzing field tickets, reproducing issues, gathering diagnostic data, and driving resolution to ensure maximum fleet uptime.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Key Responsibilities</strong></p><p style=\"min-height:1.5em\"><strong>- Primary Robot Fleet Issue Technical Triage Point</strong>: Manage incoming fleet issue ticket queue, prioritize based on fleet-wide implications and operational goals, and triage as hardware, software, or operational issue.</p><p style=\"min-height:1.5em\"><strong>- Fast-Paced Operations</strong>: Handle quick turnaround expectations while maintaining diagnostic quality</p><p style=\"min-height:1.5em\"><strong>- On-Site Diagnostics</strong>: Perform physical inspections and functional tests at robot stations to verify issue reproduction</p><p style=\"min-height:1.5em\"><strong>- Data Analysis</strong>: Analyze telemetry, sensor data, and logs to form and test hypotheses about root causes</p><p style=\"min-height:1.5em\"><strong> - Failure Analysis</strong>: Execute technically sound Failure Analysis / Root Cause Analysis procedures</p><p style=\"min-height:1.5em\"><strong>- Cross-Team Collaboration</strong>: Partner with hardware and software teams to reproduce and resolve complex issues</p><p style=\"min-height:1.5em\"><strong>- Pattern Recognition</strong>: Identify recurring issues across the fleet and surface reliability insights for design improvements</p><p style=\"min-height:1.5em\"><strong>- Documentation</strong>: Maintain clear, traceable documentation for every diagnostic and escalation event</p><p style=\"min-height:1.5em\"><strong>- Metrics &amp; Reporting</strong>: Track and report issue trends and fleet health metrics to leadership</p><p style=\"min-height:1.5em\"><strong>- Process Improvement</strong>: Collaborate with team lead to develop and maintain diagnostic procedures and troubleshooting guides</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Required Competencies &amp; Skills</strong></p><p style=\"min-height:1.5em\"><strong>- Education</strong>: B.S. in Robotics, Mechatronics, Systems Engineering, or equivalent experience</p><p style=\"min-height:1.5em\"><strong>- Hardware Knowledge</strong>: Proficiency debugging electromechanical systems including actuators, PCBs, cameras, wiring harnesses, and communication hardware</p><p style=\"min-height:1.5em\"><strong>- Software Knowledge:</strong> Experience with log parsing and basic scripting for diagnostics (Python or Bash)</p><p style=\"min-height:1.5em\"><strong>- Systems Knowledge</strong>: Strong understanding of mechanical, electrical, and software interactions in robotic systems</p><p style=\"min-height:1.5em\"><strong>- Communication</strong>: Excellent written and verbal communication, particularly in technical documentation and shift handoffs</p><p style=\"min-height:1.5em\"><strong>- Hands-On Problem Solving Experience:</strong> Minimum 2 years work experience with debugging and completing root cause investigations of systems with hardware and software issues</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Strongly Preferred:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience supporting multi-robot fleets, warehouse automation systems, or field robotics deployments</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"ROLE OVERVIEW\n\nAs a Forward Deployed Robotics Engineer, you'll serve as the first line of technical defense for our growing fleet of robotic systems deployed across warehouse and external data-collection environments. Our diverse robot fleet—including both static and mobile systems—performs complex manipulation and sensing tasks in real-world settings. When issues arise, you'll be the first responder: analyzing field tickets, reproducing issues, gathering diagnostic data, and driving resolution to ensure maximum fleet uptime.\n\n\n\nKey Responsibilities\n\n- Primary Robot Fleet Issue Technical Triage Point: Manage incoming fleet issue ticket queue, prioritize based on fleet-wide implications and operational goals, and triage as hardware, software, or operational issue.\n\n- Fast-Paced Operations: Handle quick turnaround expectations while maintaining diagnostic quality\n\n- On-Site Diagnostics: Perform physical inspections and functional tests at robot stations to verify issue reproduction\n\n- Data Analysis: Analyze telemetry, sensor data, and logs to form and test hypotheses about root causes\n\n - Failure Analysis: Execute technically sound Failure Analysis / Root Cause Analysis procedures\n\n- Cross-Team Collaboration: Partner with hardware and software teams to reproduce and resolve complex issues\n\n- Pattern Recognition: Identify recurring issues across the fleet and surface reliability insights for design improvements\n\n- Documentation: Maintain clear, traceable documentation for every diagnostic and escalation event\n\n- Metrics & Reporting: Track and report issue trends and fleet health metrics to leadership\n\n- Process Improvement: Collaborate with team lead to develop and maintain diagnostic procedures and troubleshooting guides\n\n\n\nRequired Competencies & Skills\n\n- Education: B.S. in Robotics, Mechatronics, Systems Engineering, or equivalent experience\n\n- Hardware Knowledge: Proficiency debugging electromechanical systems including actuators, PCBs, cameras, wiring harnesses, and communication hardware\n\n- Software Knowledge: Experience with log parsing and basic scripting for diagnostics (Python or Bash)\n\n- Systems Knowledge: Strong understanding of mechanical, electrical, and software interactions in robotic systems\n\n- Communication: Excellent written and verbal communication, particularly in technical documentation and shift handoffs\n\n- Hands-On Problem Solving Experience: Minimum 2 years work experience with debugging and completing root cause investigations of systems with hardware and software issues\n\n\n\nStrongly Preferred:\n\n - Experience supporting multi-robot fleets, warehouse automation systems, or field robotics deployments\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"f70f9481-ea7e-48e4-9212-f9c10952a028","title":"Build & Release Engineer","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-04-29T17:00:23.707+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/f70f9481-ea7e-48e4-9212-f9c10952a028","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/f70f9481-ea7e-48e4-9212-f9c10952a028/application","descriptionHtml":"<p style=\"min-height:1.5em\">As a Build &amp; Release Engineer, you will own the infrastructure and developer platforms that underpin our engineering workflows. This includes GitHub-based CI/CD pipelines, Bazel build and test systems, cloud infrastructure, and Kubernetes services that allow engineers to ship reliably at scale.</p><p style=\"min-height:1.5em\">This is a senior, hands-on infrastructure role focused on developer productivity, build reliability, and operational scale.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Operations and Infrastructure teams support the real-world deployment and iteration of PI’s robotics systems. They are responsible for the platforms, tooling, and cloud environments that enable engineers to build, test, and deploy reliably. This includes ownership of GitHub workflows, CI systems, and build tooling that sit directly on the critical path of development.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><p style=\"min-height:1.5em\"><strong>- CI/CD Ownership: </strong>Design and operate GitHub-based CI/CD systems (GitHub Actions, checks, workflows) with a focus on reliability, speed, and signal quality.</p><p style=\"min-height:1.5em\"><strong>- Build Systems: </strong>Own and evolve Bazel-based build and test infrastructure that supports C++, Python, Rust, and Typescript-based development.</p><p style=\"min-height:1.5em\"><strong>- Infrastructure Engineering: </strong>Build and maintain Kubernetes-based services and cloud infrastructure using Terraform and infrastructure-as-code.</p><p style=\"min-height:1.5em\"><strong>- Automation &amp; Self-Service: </strong>Replace manual release, provisioning, and access workflows with automated, GitHub-integrated systems.</p><p style=\"min-height:1.5em\"><strong>- Reliability &amp; Throughput: </strong>Reduce flaky builds, failed deploys, and CI bottlenecks that slow engineering velocity.</p><p style=\"min-height:1.5em\"><strong>- Cross-Team Enablement:</strong> Partner with engineers across the stack to make builds, tests, and deploys predictable and fast.</p><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><p style=\"min-height:1.5em\">- Strong experience operating GitHub-centric development workflows at scale.</p><p style=\"min-height:1.5em\">- Deep familiarity with CI/CD systems and build reliability challenges.</p><p style=\"min-height:1.5em\">- Experience with Bazel or similar large-scale build systems.</p><p style=\"min-height:1.5em\">- Proficiency in cloud infrastructure, Kubernetes, and Terraform.</p><p style=\"min-height:1.5em\">- Strong instincts for developer experience and operational leverage.</p><p style=\"min-height:1.5em\"><strong>Bonus Points If You Have</strong></p><p style=\"min-height:1.5em\">- Experience improving CI throughput for hundreds of engineers.</p><p style=\"min-height:1.5em\">- Expertise in Bazel optimization (remote caching, test sharding, incremental builds).</p><p style=\"min-height:1.5em\">- Security- or InfoSec-adjacent infrastructure automation.</p><p style=\"min-height:1.5em\">- Background in internal developer productivity or platform teams.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"As a Build & Release Engineer, you will own the infrastructure and developer platforms that underpin our engineering workflows. This includes GitHub-based CI/CD pipelines, Bazel build and test systems, cloud infrastructure, and Kubernetes services that allow engineers to ship reliably at scale.\n\nThis is a senior, hands-on infrastructure role focused on developer productivity, build reliability, and operational scale.\n\nThe Team\n\nThe Operations and Infrastructure teams support the real-world deployment and iteration of PI’s robotics systems. They are responsible for the platforms, tooling, and cloud environments that enable engineers to build, test, and deploy reliably. This includes ownership of GitHub workflows, CI systems, and build tooling that sit directly on the critical path of development.\n\nIn This Role You Will\n\n- CI/CD Ownership: Design and operate GitHub-based CI/CD systems (GitHub Actions, checks, workflows) with a focus on reliability, speed, and signal quality.\n\n- Build Systems: Own and evolve Bazel-based build and test infrastructure that supports C++, Python, Rust, and Typescript-based development.\n\n- Infrastructure Engineering: Build and maintain Kubernetes-based services and cloud infrastructure using Terraform and infrastructure-as-code.\n\n- Automation & Self-Service: Replace manual release, provisioning, and access workflows with automated, GitHub-integrated systems.\n\n- Reliability & Throughput: Reduce flaky builds, failed deploys, and CI bottlenecks that slow engineering velocity.\n\n- Cross-Team Enablement: Partner with engineers across the stack to make builds, tests, and deploys predictable and fast.\n\nWhat We Hope You’ll Bring\n\n- Strong experience operating GitHub-centric development workflows at scale.\n\n- Deep familiarity with CI/CD systems and build reliability challenges.\n\n- Experience with Bazel or similar large-scale build systems.\n\n- Proficiency in cloud infrastructure, Kubernetes, and Terraform.\n\n- Strong instincts for developer experience and operational leverage.\n\nBonus Points If You Have\n\n- Experience improving CI throughput for hundreds of engineers.\n\n- Expertise in Bazel optimization (remote caching, test sharding, incremental builds).\n\n- Security- or InfoSec-adjacent infrastructure automation.\n\n- Background in internal developer productivity or platform teams.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"52fb2d63-f18e-446e-8a15-cbcdc8740147","title":"Robot Build Technician","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"Fremont","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-02-16T05:36:46.676+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Fremont"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/52fb2d63-f18e-446e-8a15-cbcdc8740147","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/52fb2d63-f18e-446e-8a15-cbcdc8740147/application","descriptionHtml":"<p style=\"min-height:1.5em\">We're looking for a hands-on <strong>Build Technician</strong> who thrives in a fast-paced hardware environment. You'll be responsible for building, assembling, and maintaining the robotic systems that power our data collection and model training operations.</p><p style=\"min-height:1.5em\">You'll work directly with our Hardware Engineering team to bring robots from prototype to production, ensuring quality and reliability at every step.</p><p style=\"min-height:1.5em\"><strong>What You'll Do</strong>:</p><p style=\"min-height:1.5em\">- Build and assemble robotic systems according to engineering specifications, including mechanical, electrical, and electromechanical components</p><p style=\"min-height:1.5em\">- Install, calibrate, and configure robots and end-of-arm tooling for various applications</p><p style=\"min-height:1.5em\">- Execute test protocols and quality checks to ensure robots function as designed</p><p style=\"min-height:1.5em\">- Maintain detailed service records and documentation for robotic equipment</p><p style=\"min-height:1.5em\">- Support hardware bring-up, including wiring, harnessing, and integration of sensors and actuators</p><p style=\"min-height:1.5em\">- Collaborate with mechanical, electrical, and software engineers to root-cause manufacturing issues and implement solutions</p><p style=\"min-height:1.5em\">- Manage inventory of parts, tools, and consumables for the hardware lab</p><p style=\"min-height:1.5em\">- Train team members on assembly procedures and best practices</p><p style=\"min-height:1.5em\"><strong>Competencies and Skills</strong>:</p><p style=\"min-height:1.5em\">- 2+ years of experience in mechanical or electromechanical assembly, robotics, or manufacturing environments</p><p style=\"min-height:1.5em\">- Proficiency with hand tools, power tools, and lab equipment (soldering, crimping, torque wrenches)</p><p style=\"min-height:1.5em\">- Experience with cable harnessing, wire routing, and electrical integration</p><p style=\"min-height:1.5em\">- Ability to read and interpret mechanical drawings, schematics, and assembly instructions</p><p style=\"min-height:1.5em\">- Familiarity with robotic systems, PLCs, or automated equipment is a plus</p><p style=\"min-height:1.5em\">- Basic understanding of CAN bus, Ethernet, and communication protocols</p><p style=\"min-height:1.5em\">- Strong troubleshooting skills and attention to detail</p><p style=\"min-height:1.5em\">- Comfortable working in a fast-paced, iterative environment</p><p style=\"min-height:1.5em\">- Experience with inventory management and documentation tools (Notion, Excel)</p><p style=\"min-height:1.5em\">- Prior experience in robotics, automotive, aerospace, or consumer electronics is highly valued</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"We're looking for a hands-on Build Technician who thrives in a fast-paced hardware environment. You'll be responsible for building, assembling, and maintaining the robotic systems that power our data collection and model training operations.\n\nYou'll work directly with our Hardware Engineering team to bring robots from prototype to production, ensuring quality and reliability at every step.\n\nWhat You'll Do:\n\n- Build and assemble robotic systems according to engineering specifications, including mechanical, electrical, and electromechanical components\n\n- Install, calibrate, and configure robots and end-of-arm tooling for various applications\n\n- Execute test protocols and quality checks to ensure robots function as designed\n\n- Maintain detailed service records and documentation for robotic equipment\n\n- Support hardware bring-up, including wiring, harnessing, and integration of sensors and actuators\n\n- Collaborate with mechanical, electrical, and software engineers to root-cause manufacturing issues and implement solutions\n\n- Manage inventory of parts, tools, and consumables for the hardware lab\n\n- Train team members on assembly procedures and best practices\n\nCompetencies and Skills:\n\n- 2+ years of experience in mechanical or electromechanical assembly, robotics, or manufacturing environments\n\n- Proficiency with hand tools, power tools, and lab equipment (soldering, crimping, torque wrenches)\n\n- Experience with cable harnessing, wire routing, and electrical integration\n\n- Ability to read and interpret mechanical drawings, schematics, and assembly instructions\n\n- Familiarity with robotic systems, PLCs, or automated equipment is a plus\n\n- Basic understanding of CAN bus, Ethernet, and communication protocols\n\n- Strong troubleshooting skills and attention to detail\n\n- Comfortable working in a fast-paced, iterative environment\n\n- Experience with inventory management and documentation tools (Notion, Excel)\n\n- Prior experience in robotics, automotive, aerospace, or consumer electronics is highly valued\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"58e5a454-47db-41b2-9c5d-c8e34c55159e","title":"Mechanical Design Engineer","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2025-06-14T01:31:23.758+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/58e5a454-47db-41b2-9c5d-c8e34c55159e","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/58e5a454-47db-41b2-9c5d-c8e34c55159e/application","descriptionHtml":"<p style=\"min-height:1.5em\">We're looking for an experienced mechanical engineer to drive the integration and development of our robotic systems, leading innovative designs from concept to deployment. You'll own the full spectrum of mechanical development—from actuator sizing or design to kinematics and work with teams to prototype and ultimately produce systems at scale—ensuring reliability, deployability, and performance. The ideal candidate is a hands-on innovator with deep expertise in mechatronic systems, combining theoretical knowledge with practical engineering skills. Experience with actuation systems, electromechanical integration, machine design, and a track record of bringing mechanical systems to life is essential. If this sounds like you, please apply!</p><h2><br />In This Role You Will</h2><p style=\"min-height:1.5em\"><strong>- Own the mechanical design lifecycle:</strong> Drive all design decisions around 3D CAD, 2D drawings, material selection, and manufacturability — from early concept and proof-of-concept prototypes through high-volume production.</p><p style=\"min-height:1.5em\"><strong>- Develop and refine manufacturing processes:</strong> Identify and optimize injection molding, die casting, stamping, machining, adhesives, and bonding methods for new and existing products.</p><p style=\"min-height:1.5em\"><strong>- Ensure reliability and robustness:</strong> Perform and interpret reliability tests (HALT/HASS, tolerance stack-ups, environmental testing) and lead corrective design actions.</p><p style=\"min-height:1.5em\"><strong>- Leverage simulation for smart decisions:</strong> Use basic FEA tools (thermal, structural, vibrational) and first-order analyses to validate or guide design from early phases onward.</p><p style=\"min-height:1.5em\"><strong>- Lead system integration efforts:</strong> Collaborate with electrical and radio teams to balance thermal, EMI, mechanical stability, and accessibility needs in tightly integrated assemblies.</p><p style=\"min-height:1.5em\"><strong>- Prototype and iterate quickly:</strong> Build proof-of-concept designs, run experiments, and translate findings into high-yield, mass-production-ready solutions.</p><p style=\"min-height:1.5em\"><strong>- Manage vendor relationships:</strong> Evaluate DFM, cost, yield, and timeline trade-offs; work with JDM/CM/ODM partners; own and drive supplier selection where needed.</p><p style=\"min-height:1.5em\"><strong>- Communicate effectively across teams:</strong> Conduct design reviews with cross-functional stakeholders, clearly articulating design rationale, risks, and trade-offs.</p><p style=\"min-height:1.5em\"></p><h2><strong>What We Hope You'll Bring</strong></h2><p style=\"min-height:1.5em\">- 7+ years of experience taking hardware products from concept to production, with a strong portfolio of shipped mechanical designs — preferably in robotics, automotive, or consumer products</p><p style=\"min-height:1.5em\">- Bachelor's Degree in Mechanical or Aerospace Engineering, or equivalent experience</p><p style=\"min-height:1.5em\">- Deep understanding of high-volume manufacturing processes (injection molding, die casting, stamping, machining, bonding)</p><p style=\"min-height:1.5em\">- Familiarity with HALT/HASS, FMEA, DOE methodologies, and test-to-failure approaches for robust mechanical design</p><p style=\"min-height:1.5em\">- Practical understanding of when and how to apply FEA tools, with the ability to make first-order engineering judgments</p><p style=\"min-height:1.5em\">- Proven record of mechanically integrating electronics (sensors, PCBs, antennas, batteries) in complex assemblies</p><p style=\"min-height:1.5em\">- Ability to lead reviews, influence cross-functional teams, and convey risks and solutions clearly</p><p style=\"min-height:1.5em\">- Comfort in early-stage, resource-limited startup environments with a willingness to move quickly and hands-on</p><p style=\"min-height:1.5em\">- Proficiency in prototyping methods including machining (mill, lathe), sheet metal fabrication, 3D printing, and injection molding</p><p style=\"min-height:1.5em\">- Experience building and testing prototypes and analyzing failures to implement improvements</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"We're looking for an experienced mechanical engineer to drive the integration and development of our robotic systems, leading innovative designs from concept to deployment. You'll own the full spectrum of mechanical development—from actuator sizing or design to kinematics and work with teams to prototype and ultimately produce systems at scale—ensuring reliability, deployability, and performance. The ideal candidate is a hands-on innovator with deep expertise in mechatronic systems, combining theoretical knowledge with practical engineering skills. Experience with actuation systems, electromechanical integration, machine design, and a track record of bringing mechanical systems to life is essential. If this sounds like you, please apply!\n\n\n\nIN THIS ROLE YOU WILL\n\n- Own the mechanical design lifecycle: Drive all design decisions around 3D CAD, 2D drawings, material selection, and manufacturability — from early concept and proof-of-concept prototypes through high-volume production.\n\n- Develop and refine manufacturing processes: Identify and optimize injection molding, die casting, stamping, machining, adhesives, and bonding methods for new and existing products.\n\n- Ensure reliability and robustness: Perform and interpret reliability tests (HALT/HASS, tolerance stack-ups, environmental testing) and lead corrective design actions.\n\n- Leverage simulation for smart decisions: Use basic FEA tools (thermal, structural, vibrational) and first-order analyses to validate or guide design from early phases onward.\n\n- Lead system integration efforts: Collaborate with electrical and radio teams to balance thermal, EMI, mechanical stability, and accessibility needs in tightly integrated assemblies.\n\n- Prototype and iterate quickly: Build proof-of-concept designs, run experiments, and translate findings into high-yield, mass-production-ready solutions.\n\n- Manage vendor relationships: Evaluate DFM, cost, yield, and timeline trade-offs; work with JDM/CM/ODM partners; own and drive supplier selection where needed.\n\n- Communicate effectively across teams: Conduct design reviews with cross-functional stakeholders, clearly articulating design rationale, risks, and trade-offs.\n\n\n\n\nWHAT WE HOPE YOU'LL BRING\n\n- 7+ years of experience taking hardware products from concept to production, with a strong portfolio of shipped mechanical designs — preferably in robotics, automotive, or consumer products\n\n- Bachelor's Degree in Mechanical or Aerospace Engineering, or equivalent experience\n\n- Deep understanding of high-volume manufacturing processes (injection molding, die casting, stamping, machining, bonding)\n\n- Familiarity with HALT/HASS, FMEA, DOE methodologies, and test-to-failure approaches for robust mechanical design\n\n- Practical understanding of when and how to apply FEA tools, with the ability to make first-order engineering judgments\n\n- Proven record of mechanically integrating electronics (sensors, PCBs, antennas, batteries) in complex assemblies\n\n- Ability to lead reviews, influence cross-functional teams, and convey risks and solutions clearly\n\n- Comfort in early-stage, resource-limited startup environments with a willingness to move quickly and hands-on\n\n- Proficiency in prototyping methods including machining (mill, lathe), sheet metal fabrication, 3D printing, and injection molding\n\n- Experience building and testing prototypes and analyzing failures to implement improvements\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"f83ba447-2261-4832-95db-a2f88454e0ba","title":"Research Scientist","department":"AI & Robotics Research","team":"AI & Robotics Research","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2024-08-24T23:22:49.675+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/f83ba447-2261-4832-95db-a2f88454e0ba","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/f83ba447-2261-4832-95db-a2f88454e0ba/application","descriptionHtml":"<p style=\"min-height:1.5em\">We are looking for researchers with a record of excellent research results in the fields of machine learning and robotics, at all levels. Successful candidates will have both excellent fundamentals and excellent implementation skills, with a record of both system-building and fundamental conceptual, algorithmic, or theoretical advances. We welcome applications from both academic researchers and researchers with unconventional backgrounds.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"We are looking for researchers with a record of excellent research results in the fields of machine learning and robotics, at all levels. Successful candidates will have both excellent fundamentals and excellent implementation skills, with a record of both system-building and fundamental conceptual, algorithmic, or theoretical advances. We welcome applications from both academic researchers and researchers with unconventional backgrounds.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"41dfbfcd-a9d1-4969-b11b-821f3319cae2","title":"Robot Prototype Technician","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-04-07T19:08:24.907+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/41dfbfcd-a9d1-4969-b11b-821f3319cae2","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/41dfbfcd-a9d1-4969-b11b-821f3319cae2/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">Robot Prototype Engineering Technicians collaborate closely with robot design engineers to build, test, and refine early stage robots. In this role you will use skills with assembly, fabrication, electronics, and troubleshooting to build initial robot designs, identify design flaws for improvement in future design iterations, propose solutions for improvements regarding build, maintenance, and repair of robots. These technicians are part of the robot fleet team within the PI Hardware Organization.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Fabricate and Assembly Robot Prototype Systems and Components:</strong> Build mechanical/electrical prototypes using tools, 3D printing, soldering, and machining. Review and understand mechanical drawings, electrical schematics, and wiring diagrams for prototype assembly.</p></li><li><p style=\"min-height:1.5em\"><strong>Repair Robot Prototype Systems and Components:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Repair mechanical components such as actuators, motors, gearboxes, bearings, and moving parts that could fail or break in initial prototype designs.</p></li><li><p style=\"min-height:1.5em\">Repair electrical systems including wiring, circuits, power supplies, sensors, and control systems that could fail or break in initial prototype designs.</p></li></ul></li><li><p style=\"min-height:1.5em\"><strong>Perform Basic Troubleshooting and Testing of Robot Prototype Systems and Components:</strong> Conduct basic functional tests and troubleshooting failures to engineering feedback to improve prototype designs. Perform tests on electrical systems using diagnostic tools, multimeters, oscilloscopes, and other specialized equipment.</p></li><li><p style=\"min-height:1.5em\"><strong>Collaboration Effectively with Hardware Design Engineers:</strong> Work with engineering teams to iterate designs based on experimental results. Propose solutions to hardware design engineering team for ease of assembly, repair, and maintenance</p></li></ul><p style=\"min-height:1.5em\"><strong>What We Hope You'll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">2+ years of prototyping technician experience</p></li><li><p style=\"min-height:1.5em\">Assembly and disassembly skills on electromechanical systems - Proficiency with electrical systems/components (AC/DC motors, wiring, controllers) and mechanical systems/components (motors, gears, Bearings).</p></li><li><p style=\"min-height:1.5em\">Soldering skills and harness/wiring skills</p></li><li><p style=\"min-height:1.5em\">Proficiency in using CAD software to view design files (e.g., Solidworks, Onshape) and ability to interpret engineering drawings and wiring diagrams</p></li><li><p style=\"min-height:1.5em\">Experience working with diagnostic tools, multimeters, oscilloscopes, and PLCs.</p></li><li><p style=\"min-height:1.5em\">Strong problem-solving ability</p></li><li><p style=\"min-height:1.5em\">Strong attention to detail</p></li><li><p style=\"min-height:1.5em\">Excellent communication and teamwork abilities</p></li></ul><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Proficiency with rapid prototyping tools and 3D printers</p></li><li><p style=\"min-height:1.5em\">Experience with robotic systems</p></li><li><p style=\"min-height:1.5em\">Associate degree in Electrical/Mechanical Engineering, Robotics, or a related technical field. A bachelor’s degree is a plus.</p></li><li><p style=\"min-height:1.5em\">Relevant certifications in electrical or mechanical systems (e.g., ASE, NATE, etc.)</p></li></ul>","descriptionPlain":"Who We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nThe Team\n\nRobot Prototype Engineering Technicians collaborate closely with robot design engineers to build, test, and refine early stage robots. In this role you will use skills with assembly, fabrication, electronics, and troubleshooting to build initial robot designs, identify design flaws for improvement in future design iterations, propose solutions for improvements regarding build, maintenance, and repair of robots. These technicians are part of the robot fleet team within the PI Hardware Organization.\n\nIn This Role You Will:\n\n - Fabricate and Assembly Robot Prototype Systems and Components: Build mechanical/electrical prototypes using tools, 3D printing, soldering, and machining. Review and understand mechanical drawings, electrical schematics, and wiring diagrams for prototype assembly.\n\n - Repair Robot Prototype Systems and Components:\n   \n   - Repair mechanical components such as actuators, motors, gearboxes, bearings, and moving parts that could fail or break in initial prototype designs.\n   \n   - Repair electrical systems including wiring, circuits, power supplies, sensors, and control systems that could fail or break in initial prototype designs.\n\n - Perform Basic Troubleshooting and Testing of Robot Prototype Systems and Components: Conduct basic functional tests and troubleshooting failures to engineering feedback to improve prototype designs. Perform tests on electrical systems using diagnostic tools, multimeters, oscilloscopes, and other specialized equipment.\n\n - Collaboration Effectively with Hardware Design Engineers: Work with engineering teams to iterate designs based on experimental results. Propose solutions to hardware design engineering team for ease of assembly, repair, and maintenance\n\nWhat We Hope You'll Bring\n\n - 2+ years of prototyping technician experience\n\n - Assembly and disassembly skills on electromechanical systems - Proficiency with electrical systems/components (AC/DC motors, wiring, controllers) and mechanical systems/components (motors, gears, Bearings).\n\n - Soldering skills and harness/wiring skills\n\n - Proficiency in using CAD software to view design files (e.g., Solidworks, Onshape) and ability to interpret engineering drawings and wiring diagrams\n\n - Experience working with diagnostic tools, multimeters, oscilloscopes, and PLCs.\n\n - Strong problem-solving ability\n\n - Strong attention to detail\n\n - Excellent communication and teamwork abilities\n\nBonus Points\n\n - Proficiency with rapid prototyping tools and 3D printers\n\n - Experience with robotic systems\n\n - Associate degree in Electrical/Mechanical Engineering, Robotics, or a related technical field. A bachelor’s degree is a plus.\n\n - Relevant certifications in electrical or mechanical systems (e.g., ASE, NATE, etc.)","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"e501e135-9407-4b14-a8e8-c131f89be61d","title":"Shift Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-22T02:13:29.892+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/e501e135-9407-4b14-a8e8-c131f89be61d","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/e501e135-9407-4b14-a8e8-c131f89be61d/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Operations team drives the day-to-day execution of robot data collection and production at our San Francisco facility, partnering closely with research, hardware, and software teams to support our mission of bringing general-purpose AI into the physical world.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><p style=\"min-height:1.5em\"><strong>- Onsite Floor Operations: </strong>Provide daily boots-on-the-ground leadership to drive data collection, verify availability of stations, props, and staffing, and ensure production continues smoothly during disruptions or staffing gaps. Lead and coordinate operators by assigning work and adjusting resources in real-time based on priorities and constraints.</p><p style=\"min-height:1.5em\"><strong>- Team Leadership &amp; People Development: </strong>Supervise, train, and develop operators, ensuring adherence to work standards. Provide ongoing coaching and feedback, treat operators fairly and professionally, and act as a liaison by bringing operator concerns to management’s attention.</p><p style=\"min-height:1.5em\"><strong>- Data Collection and Quality: </strong>Own factory throughput and data quality for your team; identify deviations from standard work, take immediate corrective action, and ensure all defects are properly documented and escalated.</p><p style=\"min-height:1.5em\"><strong>- Cross-Functional Communication &amp; Reporting: </strong>Act as the primary on-site point of contact for your team, maintaining a tight feedback loop between research, hardware, software, and floor operations. Proactively communicate status, technical blockers, hardware failures, and process bottlenecks. Maintain highly accurate shift handoff notes.</p><p style=\"min-height:1.5em\"><strong>- Safety &amp; Continuous Improvement: </strong>Enforce PPE compliance and safe work practices on the floor. Proactively identify, help resolve, and report unsafe conditions.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><p style=\"min-height:1.5em\">- Hold a bachelor’s degree in a STEM field, Operations, or similar or equivalent practical experience.</p><p style=\"min-height:1.5em\">-  3–5 years of experience in tech operations, manufacturing, or related fast-paced physical environments — ideally in robotics, autonomous vehicles, or other frontier hardware-AI integration sectors.</p><p style=\"min-height:1.5em\">- 2+ years of proven experience managing, scheduling, and motivating a team of hourly, shift-based workers.</p><p style=\"min-height:1.5em\">- Detail-oriented and comfortable using operational dashboards; ability to quickly learn proprietary robotics software interfaces.</p><p style=\"min-height:1.5em\">-  Clear, direct communicator who can translate operational gaps into structured feedback for technical teams; outstanding collaboration skills in cross-functional environments.</p><p style=\"min-height:1.5em\">- Excellent problem-solving abilities under pressure with a high bias for action and a demonstrated history of removing operational blockers in real-time.</p><p style=\"min-height:1.5em\">- Comfortable with ambiguity and changing priorities; able to manage multiple competing priorities with limited resources.</p><p style=\"min-height:1.5em\">- Adept at tracking KPIs and using metrics to inform operator performance management and workflow adjustments.</p><p style=\"min-height:1.5em\">- Safety-focused, detail-oriented, and quality-driven.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><p style=\"min-height:1.5em\">- Experience in robotics or related fields.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"The Team\n\nThe Operations team drives the day-to-day execution of robot data collection and production at our San Francisco facility, partnering closely with research, hardware, and software teams to support our mission of bringing general-purpose AI into the physical world.\n\n\n\nIn This Role You Will\n\n- Onsite Floor Operations: Provide daily boots-on-the-ground leadership to drive data collection, verify availability of stations, props, and staffing, and ensure production continues smoothly during disruptions or staffing gaps. Lead and coordinate operators by assigning work and adjusting resources in real-time based on priorities and constraints.\n\n- Team Leadership & People Development: Supervise, train, and develop operators, ensuring adherence to work standards. Provide ongoing coaching and feedback, treat operators fairly and professionally, and act as a liaison by bringing operator concerns to management’s attention.\n\n- Data Collection and Quality: Own factory throughput and data quality for your team; identify deviations from standard work, take immediate corrective action, and ensure all defects are properly documented and escalated.\n\n- Cross-Functional Communication & Reporting: Act as the primary on-site point of contact for your team, maintaining a tight feedback loop between research, hardware, software, and floor operations. Proactively communicate status, technical blockers, hardware failures, and process bottlenecks. Maintain highly accurate shift handoff notes.\n\n- Safety & Continuous Improvement: Enforce PPE compliance and safe work practices on the floor. Proactively identify, help resolve, and report unsafe conditions.\n\n\n\nWhat We Hope You’ll Bring\n\n- Hold a bachelor’s degree in a STEM field, Operations, or similar or equivalent practical experience.\n\n-  3–5 years of experience in tech operations, manufacturing, or related fast-paced physical environments — ideally in robotics, autonomous vehicles, or other frontier hardware-AI integration sectors.\n\n- 2+ years of proven experience managing, scheduling, and motivating a team of hourly, shift-based workers.\n\n- Detail-oriented and comfortable using operational dashboards; ability to quickly learn proprietary robotics software interfaces.\n\n-  Clear, direct communicator who can translate operational gaps into structured feedback for technical teams; outstanding collaboration skills in cross-functional environments.\n\n- Excellent problem-solving abilities under pressure with a high bias for action and a demonstrated history of removing operational blockers in real-time.\n\n- Comfortable with ambiguity and changing priorities; able to manage multiple competing priorities with limited resources.\n\n- Adept at tracking KPIs and using metrics to inform operator performance management and workflow adjustments.\n\n- Safety-focused, detail-oriented, and quality-driven.\n\n\n\nBonus Points\n\n- Experience in robotics or related fields.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"8e9830f4-89ba-46e6-ab73-648c550aaf3c","title":"Robot Integration Engineer","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-05-18T02:24:29.164+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/8e9830f4-89ba-46e6-ab73-648c550aaf3c","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/8e9830f4-89ba-46e6-ab73-648c550aaf3c/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Fleet team owns the readiness, reliability, and operational health of PI’s robot fleet. They partner across hardware, runtime, and forward-deployed engineering to ensure every robot platform is integrated cleanly, performs reliably in the field, and improves over time — directly enabling the data collection and evaluation that powers PI’s foundation models.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><p style=\"min-height:1.5em\"><strong>- Robot Platform Fleet Integration: </strong>Be the accountable owner for a robot platform’s successful integration into the fleet, driving closure on system issues across electrical, mechanical, and software interfaces.</p><p style=\"min-height:1.5em\"><strong>- Acceptance Criteria &amp; Metrics: </strong>Define acceptance tests, criteria, and passing metrics with clear documentation on test plans.</p><p style=\"min-height:1.5em\"><strong>- Fleet Acceptance Testing: </strong>Drive and execute fleet acceptance testing per defined criteria; assess data and results to determine whether robot units can be integrated into the fleet.</p><p style=\"min-height:1.5em\"><strong>- Robot Platform Sustainment: </strong>Monitor and maintain the health and performance of the platform in the fleet; create bring-up procedures and troubleshooting guides for Forward Deployed Robotics Engineers.</p><p style=\"min-height:1.5em\"><strong>- Reliability Improvements: </strong>Own MTBF for integrated platforms and lead design improvements to push reliability metrics upward.</p><p style=\"min-height:1.5em\"><strong>- Cross-Functional Collaboration: </strong>Engage with hardware and software teams to close interface gaps and drive design improvements throughout integration and sustainment.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><p style=\"min-height:1.5em\">- B.S. in Robotics, Mechatronics, Systems Engineering, Electrical Engineering, or equivalent experience.</p><p style=\"min-height:1.5em\">- <strong>5+ years of experience</strong> with robot systems integration across multiple hardware and software disciplines, including system verification and validation testing.</p><p style=\"min-height:1.5em\">- Strong understanding of mechanical, electrical, and software interactions in robotic systems, with the ability to resolve complex issues across all three.</p><p style=\"min-height:1.5em\">- Strong understanding of robotics hardware and electromechanical systems including actuators, PCBs, cameras, wiring harnesses, and communication hardware.</p><p style=\"min-height:1.5em\">- Software proficiency to build integration tooling, scripts, and automated tests that improve reliability and speed of integration.</p><p style=\"min-height:1.5em\">- Test execution and data analysis skills — ability to process and analyze data to pull technical insights from results.</p><p style=\"min-height:1.5em\">- Excellent written and verbal communication, particularly in technical documentation.</p><p style=\"min-height:1.5em\">- High ownership and ability to thrive in a highly dynamic startup environment.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><p style=\"min-height:1.5em\">- Prior experience integrating mobile manipulators, humanoid platforms, or other complex multi-DOF robotic systems.</p><p style=\"min-height:1.5em\">- Familiarity with Python, ROS, and tooling for automated test execution and data pipelines.</p><p style=\"min-height:1.5em\">- Experience operating in a zero-to-one or early-stage fleet/operations environment.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Who We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nThe Team\n\nThe Fleet team owns the readiness, reliability, and operational health of PI’s robot fleet. They partner across hardware, runtime, and forward-deployed engineering to ensure every robot platform is integrated cleanly, performs reliably in the field, and improves over time — directly enabling the data collection and evaluation that powers PI’s foundation models.\n\nIn This Role You Will\n\n- Robot Platform Fleet Integration: Be the accountable owner for a robot platform’s successful integration into the fleet, driving closure on system issues across electrical, mechanical, and software interfaces.\n\n- Acceptance Criteria & Metrics: Define acceptance tests, criteria, and passing metrics with clear documentation on test plans.\n\n- Fleet Acceptance Testing: Drive and execute fleet acceptance testing per defined criteria; assess data and results to determine whether robot units can be integrated into the fleet.\n\n- Robot Platform Sustainment: Monitor and maintain the health and performance of the platform in the fleet; create bring-up procedures and troubleshooting guides for Forward Deployed Robotics Engineers.\n\n- Reliability Improvements: Own MTBF for integrated platforms and lead design improvements to push reliability metrics upward.\n\n- Cross-Functional Collaboration: Engage with hardware and software teams to close interface gaps and drive design improvements throughout integration and sustainment.\n\n\n\nWhat We Hope You’ll Bring\n\n- B.S. in Robotics, Mechatronics, Systems Engineering, Electrical Engineering, or equivalent experience.\n\n- 5+ years of experience with robot systems integration across multiple hardware and software disciplines, including system verification and validation testing.\n\n- Strong understanding of mechanical, electrical, and software interactions in robotic systems, with the ability to resolve complex issues across all three.\n\n- Strong understanding of robotics hardware and electromechanical systems including actuators, PCBs, cameras, wiring harnesses, and communication hardware.\n\n- Software proficiency to build integration tooling, scripts, and automated tests that improve reliability and speed of integration.\n\n- Test execution and data analysis skills — ability to process and analyze data to pull technical insights from results.\n\n- Excellent written and verbal communication, particularly in technical documentation.\n\n- High ownership and ability to thrive in a highly dynamic startup environment.\n\n\n\nBonus Points\n\n- Prior experience integrating mobile manipulators, humanoid platforms, or other complex multi-DOF robotic systems.\n\n- Familiarity with Python, ROS, and tooling for automated test execution and data pipelines.\n\n- Experience operating in a zero-to-one or early-stage fleet/operations environment.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"a32cf6ed-b81c-4ee6-8785-d5895cf39ffb","title":"Robot Integration and Test Technician","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-24T18:50:43.548+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/a32cf6ed-b81c-4ee6-8785-d5895cf39ffb","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/a32cf6ed-b81c-4ee6-8785-d5895cf39ffb/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">Robot Test and Integration Technicians collaborate closely with robot fleet team engineers to test and integrate new robot platforms into the fleet. In this role you will use skills with setting up/provisioning, testing, and light troubleshooting for new robot platforms. These technicians are part of the robot fleet team within the PI Hardware Organization.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will:</strong></p><p style=\"min-height:1.5em\"><strong>- Quality control checks:</strong> Perform detailed quality control checks on new robots to verify components are installed correctly and hardware is in correct configuration.</p><p style=\"min-height:1.5em\"><strong>- Set up and provision robots:</strong> Follow documentation procedures to set up and provision hardware, software, and firmware components of new robots.</p><p style=\"min-height:1.5em\"><strong>- Test robots:</strong> Execute on functional and technical performance tests on robots following fleet integration acceptance criteria.</p><p style=\"min-height:1.5em\"><strong>- Perform Basic Troubleshooting:</strong> Identify and document mechanical, electrical, or software faults in robots and peripheral equipment.</p><p style=\"min-height:1.5em\"><strong>What We Hope You'll Bring</strong></p><p style=\"min-height:1.5em\">- 2+ years of hardware testing experience</p><p style=\"min-height:1.5em\">- Experience working with diagnostic tools, multimeters, oscilloscopes, and PLCs.</p><p style=\"min-height:1.5em\">- Strong problem-solving ability</p><p style=\"min-height:1.5em\">- Strong attention to detail</p><p style=\"min-height:1.5em\">- Strong documentation skills</p><p style=\"min-height:1.5em\">- Excellent communication and teamwork abilities</p><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><p style=\"min-height:1.5em\">- Experience with robotic systems</p><p style=\"min-height:1.5em\">- Associate degree in Electrical/Mechanical Engineering, Robotics, or a related technical field. A bachelor’s degree is a plus.</p><p style=\"min-height:1.5em\">- Relevant certifications in electrical or mechanical systems (e.g., ASE, NATE, etc.)</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Who We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nThe Team\n\nRobot Test and Integration Technicians collaborate closely with robot fleet team engineers to test and integrate new robot platforms into the fleet. In this role you will use skills with setting up/provisioning, testing, and light troubleshooting for new robot platforms. These technicians are part of the robot fleet team within the PI Hardware Organization.\n\nIn This Role You Will:\n\n- Quality control checks: Perform detailed quality control checks on new robots to verify components are installed correctly and hardware is in correct configuration.\n\n- Set up and provision robots: Follow documentation procedures to set up and provision hardware, software, and firmware components of new robots.\n\n- Test robots: Execute on functional and technical performance tests on robots following fleet integration acceptance criteria.\n\n- Perform Basic Troubleshooting: Identify and document mechanical, electrical, or software faults in robots and peripheral equipment.\n\nWhat We Hope You'll Bring\n\n- 2+ years of hardware testing experience\n\n- Experience working with diagnostic tools, multimeters, oscilloscopes, and PLCs.\n\n- Strong problem-solving ability\n\n- Strong attention to detail\n\n- Strong documentation skills\n\n- Excellent communication and teamwork abilities\n\nBonus Points\n\n- Experience with robotic systems\n\n- Associate degree in Electrical/Mechanical Engineering, Robotics, or a related technical field. A bachelor’s degree is a plus.\n\n- Relevant certifications in electrical or mechanical systems (e.g., ASE, NATE, etc.)\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"7f8397a4-c3cd-45c6-90c7-13c4481f4699","title":"Software Engineer, AI Productivity","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-11T18:14:04.404+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/7f8397a4-c3cd-45c6-90c7-13c4481f4699","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/7f8397a4-c3cd-45c6-90c7-13c4481f4699/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">As a Software Engineer focused on AI productivity, you will build and roll out the tools that help us use AI effectively across the company. You will work closely with engineering, research, operations, people, and other teams to understand how people work, identify where AI can create leverage, and turn those opportunities into reliable internal tools and workflows.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">Runtime owns core systems that help π’s operations and research teams move quickly and reliably. This role will sit in Runtime and work alongside engineers focused on build systems, infrastructure, and developer productivity.</p><p style=\"min-height:1.5em\">Your focus will be AI tooling: making AI agents, assistants, integrations, and automation useful across the company. You will partner deeply with teams across PI to understand their workflows, build tools that fit how they work, and drive adoption until those tools become part of the operating rhythm of the company.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><p style=\"min-height:1.5em\"><strong>- Own AI tooling adoption across π:</strong> Identify where AI tools can improve velocity, build or integrate the right solutions, teach teams how to use them, and drive adoption.</p><p style=\"min-height:1.5em\"><strong>- Build internal AI tooling and integrations:</strong> Build backend services, scripts, workflows, user interfaces, LLM integrations, and agent infrastructure.</p><p style=\"min-height:1.5em\"><strong>- Make AI agents ergonomic:</strong> Own workflows for cloud agents, agent management, and internal automation that are easy to use, easy to monitor, and easy to trust.</p><p style=\"min-height:1.5em\"><strong>- Build tools for engineering, research, and operational velocity:</strong> Help engineers use AI to write, test, debug, review, and validate code faster. Empower researchers to extract signals and iterate quickly and confidently. Work with operations and recruiting to understand their workflows and build tools that give them leverage.</p><p style=\"min-height:1.5em\"><strong>- Own best practices and enablement:</strong> Create playbooks, examples, onboarding, office hours, demos, and shared workflows that help people learn from the best AI users at π.</p><p style=\"min-height:1.5em\"><strong>- Partner on security and data access:</strong> Ensure AI tools have the right access to be useful while respecting data boundaries, permissions, and company policies.</p><p style=\"min-height:1.5em\"><strong>- Evaluate build vs. buy:</strong> Maintain a strong perspective on the AI tooling ecosystem, evaluate commercial tools, and recommend what π should adopt.</p><p style=\"min-height:1.5em\"><strong>- Measure impact:</strong> Define success metrics for adoption, productivity, and satisfaction. Use feedback and data to understand what is working, what is not, and where to invest.</p><p style=\"min-height:1.5em\"><strong>What We Hope You'll Bring</strong></p><p style=\"min-height:1.5em\">- Strong software engineering fundamentals and the ability to ship quickly.</p><p style=\"min-height:1.5em\">- Deep excitement about AI tools and strong opinions about how they should be used.</p><p style=\"min-height:1.5em\">- Hands-on fluency with AI coding workflows and modern LLM-based tools.</p><p style=\"min-height:1.5em\">- Technical flexibility: ability to build backend services, internal tools, integrations, automation, and user interfaces.</p><p style=\"min-height:1.5em\">- Strong product judgment and taste for developer experience and internal tooling.</p><p style=\"min-height:1.5em\">- High empathy and excitement to work across engineering, research, operations, recruiting, and other teams.</p><p style=\"min-height:1.5em\">- Ability to learn unfamiliar systems quickly and operate across many technical domains.</p><p style=\"min-height:1.5em\">- Good judgment around security, permissions, data access, and safe tool rollout.</p><p style=\"min-height:1.5em\">- Clear communication, documentation, and teaching ability.</p><p style=\"min-height:1.5em\">- Comfort driving adoption, not just writing code.</p><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><p style=\"min-height:1.5em\">- Experience building developer tools, agents, or automation platforms.</p><p style=\"min-height:1.5em\">- Experience building internal tools specifically for research, robotics, or operationally-intensive problems.</p><p style=\"min-height:1.5em\">- Experience with our specific stack: React, TypeScript, Python, Postgres, ClickHouse, GCP, and Kubernetes.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nAs a Software Engineer focused on AI productivity, you will build and roll out the tools that help us use AI effectively across the company. You will work closely with engineering, research, operations, people, and other teams to understand how people work, identify where AI can create leverage, and turn those opportunities into reliable internal tools and workflows.\n\nThe Team\n\nRuntime owns core systems that help π’s operations and research teams move quickly and reliably. This role will sit in Runtime and work alongside engineers focused on build systems, infrastructure, and developer productivity.\n\nYour focus will be AI tooling: making AI agents, assistants, integrations, and automation useful across the company. You will partner deeply with teams across PI to understand their workflows, build tools that fit how they work, and drive adoption until those tools become part of the operating rhythm of the company.\n\nIn This Role You Will\n\n- Own AI tooling adoption across π: Identify where AI tools can improve velocity, build or integrate the right solutions, teach teams how to use them, and drive adoption.\n\n- Build internal AI tooling and integrations: Build backend services, scripts, workflows, user interfaces, LLM integrations, and agent infrastructure.\n\n- Make AI agents ergonomic: Own workflows for cloud agents, agent management, and internal automation that are easy to use, easy to monitor, and easy to trust.\n\n- Build tools for engineering, research, and operational velocity: Help engineers use AI to write, test, debug, review, and validate code faster. Empower researchers to extract signals and iterate quickly and confidently. Work with operations and recruiting to understand their workflows and build tools that give them leverage.\n\n- Own best practices and enablement: Create playbooks, examples, onboarding, office hours, demos, and shared workflows that help people learn from the best AI users at π.\n\n- Partner on security and data access: Ensure AI tools have the right access to be useful while respecting data boundaries, permissions, and company policies.\n\n- Evaluate build vs. buy: Maintain a strong perspective on the AI tooling ecosystem, evaluate commercial tools, and recommend what π should adopt.\n\n- Measure impact: Define success metrics for adoption, productivity, and satisfaction. Use feedback and data to understand what is working, what is not, and where to invest.\n\nWhat We Hope You'll Bring\n\n- Strong software engineering fundamentals and the ability to ship quickly.\n\n- Deep excitement about AI tools and strong opinions about how they should be used.\n\n- Hands-on fluency with AI coding workflows and modern LLM-based tools.\n\n- Technical flexibility: ability to build backend services, internal tools, integrations, automation, and user interfaces.\n\n- Strong product judgment and taste for developer experience and internal tooling.\n\n- High empathy and excitement to work across engineering, research, operations, recruiting, and other teams.\n\n- Ability to learn unfamiliar systems quickly and operate across many technical domains.\n\n- Good judgment around security, permissions, data access, and safe tool rollout.\n\n- Clear communication, documentation, and teaching ability.\n\n- Comfort driving adoption, not just writing code.\n\nBonus Points\n\n- Experience building developer tools, agents, or automation platforms.\n\n- Experience building internal tools specifically for research, robotics, or operationally-intensive problems.\n\n- Experience with our specific stack: React, TypeScript, Python, Postgres, ClickHouse, GCP, and Kubernetes.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"f020ff1a-4b4c-4415-8434-2da5010a7076","title":"Research Internships","department":"AI & Robotics Research","team":"AI & Robotics Research","employmentType":"Intern","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2024-08-24T23:26:05.122+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/f020ff1a-4b4c-4415-8434-2da5010a7076","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/f020ff1a-4b4c-4415-8434-2da5010a7076/application","descriptionHtml":"<p style=\"min-height:1.5em\">Internships</p>","descriptionPlain":"Internships","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"13808317-916f-4ed2-b4f5-a539ac3cf81c","title":"AI and Robotics Recruiter ","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-06-05T19:02:03.205+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/13808317-916f-4ed2-b4f5-a539ac3cf81c","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/13808317-916f-4ed2-b4f5-a539ac3cf81c/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">As a Full Stack Recruiter, you will help build the team that builds the robots - owning high-impact searches across research and engineering. This role is 100% in person.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The People team at Pi exists to recruit the world’s best talent and provide them the tools and context to do their life’s best work, removing all barriers, physical or digital, save the immense complexity of the problem at hand.</p><p style=\"min-height:1.5em\">The Recruiting team partners directly with founders and technical leaders to design roles, define talent strategy, and close exceptional candidates. We operate with a high bar, high transparency, and strong market awareness.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><p style=\"min-height:1.5em\">- Be an owner: recruiting is your profession, your specialty. Build it like you want it. Own full lifecycle recruiting for technical roles from building heatmaps for frontier lab talent to building relationships that allow you to close with full autonomy</p><p style=\"min-height:1.5em\">- Be a hunter: proactively identify and engage top-tier talent across ML research, robotics, systems, and infrastructure. Bring analytical rigor to your talent strategies.</p><p style=\"min-height:1.5em\">- Design interview processes: drive structured interviewer calibration while adapting evaluation to the specific talent market and role complexity. Be creative. There is no one-size-fits-all and the “set it and forget it” interview competency architecture is a thing of the past.</p><p style=\"min-height:1.5em\">- Have an opinion: you are the expert. Use your expertise. Provide informed guidance on compensation and competitive positioning. What should we do to close? What are we not thinking of? What is the most important thing to our candidates and how can we meet them where they are?</p><p style=\"min-height:1.5em\">- Be a partner, be a peer: recruiting at Pi is not a service org. We want you to help shape the process and approach. Partner with founders and hiring managers to align on tradeoffs, scope, and urgency. You will be in the room either way, with a seat at the table, so you might as well speak up.</p><p style=\"min-height:1.5em\">- Be a builder<strong>: </strong>design bespoke closing strategies. Tell the company story with clarity and conviction so candidates leave energized and informed. Leave no stone.</p><p style=\"min-height:1.5em\">- Be a steward, be an ambassador:<strong> </strong>treat every candidate with care and respect. How someone feels after a rejectio reflects on us. Take that seriously.</p><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><p style=\"min-height:1.5em\">- 6+ years of recruiting top .02% talent. Everyone says they have a high bar. We mean it, mathematically.</p><p style=\"min-height:1.5em\">- Resilience. If you think you’ve “seen this market before,” you haven’t. None of us have.</p><p style=\"min-height:1.5em\">- Urgency. The time is now, always. The best candidates are rarely on the market, and are often gone in days if not hours. We don’t wait. We act. ”Make it happen” is how we are wired.</p><p style=\"min-height:1.5em\">- Intellectual horsepower and analytical rigor. This isn’t all feel; it is a mix of art and science. We work deep in the data and make evidence-based arguments.</p><p style=\"min-height:1.5em\">- Sophisticated and creative sourcing approaches. We are creating tools to map the market, dashboards to track talent pool over the long term, and outreach campaigns that build relationships over years.</p><p style=\"min-height:1.5em\">- Genuine interest and curiosity about robotics and AI in the physical world.</p><p style=\"min-height:1.5em\">- A data-driven mindset. We work with scientists; we evidence our actions.</p><p style=\"min-height:1.5em\"><strong>Bonus Points If You Have</strong></p><p style=\"min-height:1.5em\">- Experience recruiting ML/robotics/AI or Hardware talent.</p><p style=\"min-height:1.5em\">- Executive Recruiting Experience.</p><p style=\"min-height:1.5em\">- Prior experience as a first recruiter or Head of Talent.</p><p style=\"min-height:1.5em\">- Familiarity with AI-powered recruiting tools and automation workflows.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Who We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nAs a Full Stack Recruiter, you will help build the team that builds the robots - owning high-impact searches across research and engineering. This role is 100% in person.\n\nThe Team\n\nThe People team at Pi exists to recruit the world’s best talent and provide them the tools and context to do their life’s best work, removing all barriers, physical or digital, save the immense complexity of the problem at hand.\n\nThe Recruiting team partners directly with founders and technical leaders to design roles, define talent strategy, and close exceptional candidates. We operate with a high bar, high transparency, and strong market awareness.\n\nIn This Role You Will\n\n- Be an owner: recruiting is your profession, your specialty. Build it like you want it. Own full lifecycle recruiting for technical roles from building heatmaps for frontier lab talent to building relationships that allow you to close with full autonomy\n\n- Be a hunter: proactively identify and engage top-tier talent across ML research, robotics, systems, and infrastructure. Bring analytical rigor to your talent strategies.\n\n- Design interview processes: drive structured interviewer calibration while adapting evaluation to the specific talent market and role complexity. Be creative. There is no one-size-fits-all and the “set it and forget it” interview competency architecture is a thing of the past.\n\n- Have an opinion: you are the expert. Use your expertise. Provide informed guidance on compensation and competitive positioning. What should we do to close? What are we not thinking of? What is the most important thing to our candidates and how can we meet them where they are?\n\n- Be a partner, be a peer: recruiting at Pi is not a service org. We want you to help shape the process and approach. Partner with founders and hiring managers to align on tradeoffs, scope, and urgency. You will be in the room either way, with a seat at the table, so you might as well speak up.\n\n- Be a builder: design bespoke closing strategies. Tell the company story with clarity and conviction so candidates leave energized and informed. Leave no stone.\n\n- Be a steward, be an ambassador: treat every candidate with care and respect. How someone feels after a rejectio reflects on us. Take that seriously.\n\nWhat We Hope You’ll Bring\n\n- 6+ years of recruiting top .02% talent. Everyone says they have a high bar. We mean it, mathematically.\n\n- Resilience. If you think you’ve “seen this market before,” you haven’t. None of us have.\n\n- Urgency. The time is now, always. The best candidates are rarely on the market, and are often gone in days if not hours. We don’t wait. We act. ”Make it happen” is how we are wired.\n\n- Intellectual horsepower and analytical rigor. This isn’t all feel; it is a mix of art and science. We work deep in the data and make evidence-based arguments.\n\n- Sophisticated and creative sourcing approaches. We are creating tools to map the market, dashboards to track talent pool over the long term, and outreach campaigns that build relationships over years.\n\n- Genuine interest and curiosity about robotics and AI in the physical world.\n\n- A data-driven mindset. We work with scientists; we evidence our actions.\n\nBonus Points If You Have\n\n- Experience recruiting ML/robotics/AI or Hardware talent.\n\n- Executive Recruiting Experience.\n\n- Prior experience as a first recruiter or Head of Talent.\n\n- Familiarity with AI-powered recruiting tools and automation workflows.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"1a7a181f-c318-4e0b-9516-c7111b3e3968","title":"Applied Researcher","department":"AI & Robotics Research","team":"AI & Robotics Research","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-01-23T05:30:53.269+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/1a7a181f-c318-4e0b-9516-c7111b3e3968","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/1a7a181f-c318-4e0b-9516-c7111b3e3968/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Deployments team is responsible for solving real world problems with our models and robots. We tackle the full problem space: integrating with customer workflows, training models to solve their dexterous tasks, and ensuring the on-site reliability of the system. This breadth of problem space is why we’re a full-stack robotics team - whether it’s thinking about customer facing experiences or fine-tuning models for tasks no robot has done before, we put forth the best solution Pi has to offer.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><p style=\"min-height:1.5em\">- Deploy and debug learned policies on physical robots, diagnosing failures across the full stack (perception, policy, control, hardware).</p><p style=\"min-height:1.5em\">- Train and tune policies, curate data, and iterate to improve real-world performance.</p><p style=\"min-height:1.5em\">- Write production-quality code that interfaces with Pi’s infrastructure.</p><p style=\"min-height:1.5em\">- Work with operators to set up tests, evals, and data collection pipelines.</p><p style=\"min-height:1.5em\">- Engage with partners to understand use cases and observe robots in deployment contexts.</p><p style=\"min-height:1.5em\">- Bridge research and operations: translate research advances into deployable systems, and surface real-world failure modes back to researchers and (software and hardware!) engineers.</p><p style=\"min-height:1.5em\">- Define and shape a vision for what real-world deployments will look like in the long-term</p><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><p style=\"min-height:1.5em\">- Hands-on experience deploying robots or autonomous systems in real-world environments</p><p style=\"min-height:1.5em\">- Strong engineering skills: clean Python, ability to interface with infrastructure, debugging instincts</p><p style=\"min-height:1.5em\">- Ability to debug the full stack from perception to control</p><p style=\"min-height:1.5em\">- Practical mindset: motivated by making things work, not by open-ended research</p><p style=\"min-height:1.5em\">- Clear communication with researchers, operators, and occasionally partners</p><p style=\"min-height:1.5em\"><strong>Bonus Points If You Have</strong></p><p style=\"min-height:1.5em\">- Founded or worked at an early-stage robotics or AV company</p><p style=\"min-height:1.5em\">- PhD in relevant field</p><p style=\"min-height:1.5em\">- Intuition for policy training, neural network debugging, and data curation</p><p style=\"min-height:1.5em\">- Experience with robot manipulation platforms</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Who We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nThe Team\n\nThe Deployments team is responsible for solving real world problems with our models and robots. We tackle the full problem space: integrating with customer workflows, training models to solve their dexterous tasks, and ensuring the on-site reliability of the system. This breadth of problem space is why we’re a full-stack robotics team - whether it’s thinking about customer facing experiences or fine-tuning models for tasks no robot has done before, we put forth the best solution Pi has to offer.\n\nIn This Role You Will\n\n- Deploy and debug learned policies on physical robots, diagnosing failures across the full stack (perception, policy, control, hardware).\n\n- Train and tune policies, curate data, and iterate to improve real-world performance.\n\n- Write production-quality code that interfaces with Pi’s infrastructure.\n\n- Work with operators to set up tests, evals, and data collection pipelines.\n\n- Engage with partners to understand use cases and observe robots in deployment contexts.\n\n- Bridge research and operations: translate research advances into deployable systems, and surface real-world failure modes back to researchers and (software and hardware!) engineers.\n\n- Define and shape a vision for what real-world deployments will look like in the long-term\n\nWhat We Hope You’ll Bring\n\n- Hands-on experience deploying robots or autonomous systems in real-world environments\n\n- Strong engineering skills: clean Python, ability to interface with infrastructure, debugging instincts\n\n- Ability to debug the full stack from perception to control\n\n- Practical mindset: motivated by making things work, not by open-ended research\n\n- Clear communication with researchers, operators, and occasionally partners\n\nBonus Points If You Have\n\n- Founded or worked at an early-stage robotics or AV company\n\n- PhD in relevant field\n\n- Intuition for policy training, neural network debugging, and data curation\n\n- Experience with robot manipulation platforms\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"1e8a741a-d415-4c34-9ac8-eda4c5393e41","title":"Deployments Software Engineer","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-06-08T13:11:12.814+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/1e8a741a-d415-4c34-9ac8-eda4c5393e41","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/1e8a741a-d415-4c34-9ac8-eda4c5393e41/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">Deploying robots into the real world takes more than a capable model - it takes designing a physical system that's fast, safe, and reliable enough to run unattended on a customer's floor, backed by software you can observe, debug, and trust if something goes wrong.</p><p style=\"min-height:1.5em\">As a Robotics Software Engineer, you'll build that system. You'll integrate state-of-the-art models with robots that work on-site - building system safeguards, the teleoperation interfaces operators rely on, and the latency optimizations that make remote control feel instant. You'll work with researchers, platform engineers, and robot operators to make the whole stack dependable enough that customers bet their operations on it.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Deployments team is responsible for solving real world problems with our models and robots. We tackle the full problem space: integrating with customer workflows, training models to solve their dexterous tasks, and ensuring the on-site reliability of the system. This breadth of problem space is why we’re a full-stack robotics team - whether it’s thinking about customer facing experiences or fine-tuning models for tasks no robot has done before, we put forth the best solution Pi has to offer.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><p style=\"min-height:1.5em\"><strong>- Design remote teleoperation interfaces:</strong> Develop comfortable and precise interfaces for controlling robots with many degrees of freedom</p><p style=\"min-height:1.5em\"><strong>- Optimize for low-latency network performance: </strong>Engineer teleoperation interfaces that can continue functioning even in weak internet areas</p><p style=\"min-height:1.5em\"><strong>- Optimize System Performance:</strong> Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput.</p><p style=\"min-height:1.5em\"><strong>- Streaming &amp; Video Systems:</strong> Develop and optimize real-time video streaming systems where frame timing and packet scheduling matter.</p><p style=\"min-height:1.5em\"><strong>- Reliability &amp; Debugging:</strong> Build tooling for profiling, tracing, and debugging timing issues across distributed systems and hardware interfaces.</p><p style=\"min-height:1.5em\"><strong>- Cross-Functional Collaboration:</strong> Work with researchers, hardware engineers, and operations teams to integrate optimized pipelines into production workflows.</p><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><p style=\"min-height:1.5em\">- Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software.</p><p style=\"min-height:1.5em\">- Background in real-time or near–real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems where latency budgets are strict.</p><p style=\"min-height:1.5em\">- Ability to optimize across the entire stack - drivers, networking, compute workloads, video frameworks, and distributed components.</p><p style=\"min-height:1.5em\">- Experience with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and comfort diving into complex performance issues.</p><p style=\"min-height:1.5em\">- A mindset oriented around determinism, throughput, frame budgets, jitter minimization, and real-time correctness.</p><p style=\"min-height:1.5em\">- Ability to collaborate deeply with robot users, researchers, and platform engineers to build a precise and comfortable teleoperation interface.</p><p style=\"min-height:1.5em\"><strong>Bonus Points If You Have</strong></p><p style=\"min-height:1.5em\">- Experience with robot teleoperation systems, VR/AR platforms, or low-latency 3D engines.</p><p style=\"min-height:1.5em\">- Camera system expertise (synchronization, capture pipelines, codecs, GPU offload).</p><p style=\"min-height:1.5em\">- Streaming/video conferencing stack experience (WebRTC, real-time transport optimizations).</p><p style=\"min-height:1.5em\">- Background in robotics or autonomous systems (implementation, not research).</p><p style=\"min-height:1.5em\">- Familiarity with distributed systems that process real-time data flows.</p><p style=\"min-height:1.5em\"><br /><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Who We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nDeploying robots into the real world takes more than a capable model - it takes designing a physical system that's fast, safe, and reliable enough to run unattended on a customer's floor, backed by software you can observe, debug, and trust if something goes wrong.\n\nAs a Robotics Software Engineer, you'll build that system. You'll integrate state-of-the-art models with robots that work on-site - building system safeguards, the teleoperation interfaces operators rely on, and the latency optimizations that make remote control feel instant. You'll work with researchers, platform engineers, and robot operators to make the whole stack dependable enough that customers bet their operations on it.\n\nThe Team\n\nThe Deployments team is responsible for solving real world problems with our models and robots. We tackle the full problem space: integrating with customer workflows, training models to solve their dexterous tasks, and ensuring the on-site reliability of the system. This breadth of problem space is why we’re a full-stack robotics team - whether it’s thinking about customer facing experiences or fine-tuning models for tasks no robot has done before, we put forth the best solution Pi has to offer.\n\nIn This Role You Will\n\n- Design remote teleoperation interfaces: Develop comfortable and precise interfaces for controlling robots with many degrees of freedom\n\n- Optimize for low-latency network performance: Engineer teleoperation interfaces that can continue functioning even in weak internet areas\n\n- Optimize System Performance: Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput.\n\n- Streaming & Video Systems: Develop and optimize real-time video streaming systems where frame timing and packet scheduling matter.\n\n- Reliability & Debugging: Build tooling for profiling, tracing, and debugging timing issues across distributed systems and hardware interfaces.\n\n- Cross-Functional Collaboration: Work with researchers, hardware engineers, and operations teams to integrate optimized pipelines into production workflows.\n\nWhat We Hope You’ll Bring\n\n- Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software.\n\n- Background in real-time or near–real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems where latency budgets are strict.\n\n- Ability to optimize across the entire stack - drivers, networking, compute workloads, video frameworks, and distributed components.\n\n- Experience with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and comfort diving into complex performance issues.\n\n- A mindset oriented around determinism, throughput, frame budgets, jitter minimization, and real-time correctness.\n\n- Ability to collaborate deeply with robot users, researchers, and platform engineers to build a precise and comfortable teleoperation interface.\n\nBonus Points If You Have\n\n- Experience with robot teleoperation systems, VR/AR platforms, or low-latency 3D engines.\n\n- Camera system expertise (synchronization, capture pipelines, codecs, GPU offload).\n\n- Streaming/video conferencing stack experience (WebRTC, real-time transport optimizations).\n\n- Background in robotics or autonomous systems (implementation, not research).\n\n- Familiarity with distributed systems that process real-time data flows.\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"11208bdc-a679-4cf7-b7a9-67848f7660ab","title":"Robotics Technician","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2025-07-30T00:43:15.130+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/11208bdc-a679-4cf7-b7a9-67848f7660ab","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/11208bdc-a679-4cf7-b7a9-67848f7660ab/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Robotics Technician works closely with PI’s fleet operations and engineering teams, to maintain the robotic platforms that power our AI research. The team is collaborative, fast-moving, and deeply technical — and this role is a direct partner to operations and engineers building and improving the systems you’ll maintain.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Electrical Maintenance: </strong>Repair electrical systems including wiring, circuits, power supplies, sensors, and control systems; conduct regular electrical inspections and preventive maintenance on robotic units</p></li><li><p style=\"min-height:1.5em\"><strong>Mechanical Maintenance: </strong>Repair mechanical components such as actuators, motors, gearboxes, bearings, and moving parts; perform inspections, alignments, and calibrations to keep systems within spec</p></li><li><p style=\"min-height:1.5em\"><strong>Diagnostics &amp; Testing: </strong>Perform tests using diagnostic tools, multimeters, oscilloscopes, and specialized equipment; interpret electrical schematics and wiring diagrams to locate and resolve issues</p></li><li><p style=\"min-height:1.5em\"><strong>Documentation: </strong>Maintain thorough documentation of repairs, part replacements, and maintenance activities using Linear and Notion</p></li><li><p style=\"min-height:1.5em\"><strong>Hardware Feedback: </strong>Propose solutions to the hardware engineering team for ease of repair, component standardization, and improved maintainability</p></li><li><p style=\"min-height:1.5em\"><strong>Safety &amp; Compliance: </strong>Ensure all work complies with company standards, safety regulations, and industry best practices; identify potential hazards and initiate corrective actions</p></li></ul><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Associate degree in Electrical/Mechanical Engineering, Robotics, or a related technical field (bachelor’s a plus), or equivalent hands-on experience</p></li><li><p style=\"min-height:1.5em\">2+ years of experience in electrical and mechanical maintenance, with a background in robotics, automation, or a related industry</p></li><li><p style=\"min-height:1.5em\">Proficiency in troubleshooting and repairing electrical systems (AC/DC motors, wiring, controllers) and mechanical components (motors, gears, bearings)</p></li><li><p style=\"min-height:1.5em\">Experience with diagnostic tools including multimeters, oscilloscopes, and PLCs</p></li><li><p style=\"min-height:1.5em\">Ability to read and interpret technical manuals, schematics, and engineering drawings</p></li><li><p style=\"min-height:1.5em\">Proficiency with hand tools, power tools, and industrial-grade equipment</p></li><li><p style=\"min-height:1.5em\">Strong attention to detail and excellent communication and teamwork abilities</p></li></ul><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Relevant certifications in electrical or mechanical systems (e.g., ASE, NATE, IPC or equivalent)</p></li><li><p style=\"min-height:1.5em\">Familiarity with robotics systems, automation technologies, and fleet management tools</p></li><li><p style=\"min-height:1.5em\">Experience working in a fast-moving startup or research environment</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nThe Team\n\nThe Robotics Technician works closely with PI’s fleet operations and engineering teams, to maintain the robotic platforms that power our AI research. The team is collaborative, fast-moving, and deeply technical — and this role is a direct partner to operations and engineers building and improving the systems you’ll maintain.\n\nIn This Role You Will\n\n - Electrical Maintenance: Repair electrical systems including wiring, circuits, power supplies, sensors, and control systems; conduct regular electrical inspections and preventive maintenance on robotic units\n\n - Mechanical Maintenance: Repair mechanical components such as actuators, motors, gearboxes, bearings, and moving parts; perform inspections, alignments, and calibrations to keep systems within spec\n\n - Diagnostics & Testing: Perform tests using diagnostic tools, multimeters, oscilloscopes, and specialized equipment; interpret electrical schematics and wiring diagrams to locate and resolve issues\n\n - Documentation: Maintain thorough documentation of repairs, part replacements, and maintenance activities using Linear and Notion\n\n - Hardware Feedback: Propose solutions to the hardware engineering team for ease of repair, component standardization, and improved maintainability\n\n - Safety & Compliance: Ensure all work complies with company standards, safety regulations, and industry best practices; identify potential hazards and initiate corrective actions\n\nWhat We Hope You’ll Bring\n\n - Associate degree in Electrical/Mechanical Engineering, Robotics, or a related technical field (bachelor’s a plus), or equivalent hands-on experience\n\n - 2+ years of experience in electrical and mechanical maintenance, with a background in robotics, automation, or a related industry\n\n - Proficiency in troubleshooting and repairing electrical systems (AC/DC motors, wiring, controllers) and mechanical components (motors, gears, bearings)\n\n - Experience with diagnostic tools including multimeters, oscilloscopes, and PLCs\n\n - Ability to read and interpret technical manuals, schematics, and engineering drawings\n\n - Proficiency with hand tools, power tools, and industrial-grade equipment\n\n - Strong attention to detail and excellent communication and teamwork abilities\n\nBonus Points\n\n - Relevant certifications in electrical or mechanical systems (e.g., ASE, NATE, IPC or equivalent)\n\n - Familiarity with robotics systems, automation technologies, and fleet management tools\n\n - Experience working in a fast-moving startup or research environment\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"3806333f-ecf5-4f65-b404-e9418ba26b87","title":"Strategic Project Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-06-26T23:54:45.529+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/3806333f-ecf5-4f65-b404-e9418ba26b87","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/3806333f-ecf5-4f65-b404-e9418ba26b87/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">High-quality data is the fuel for that mission. As our research and deployment efforts scale, coordinating people, robots, scenes, evaluation, annotation, and operational capacity becomes increasingly complex. Strategic Project Leads ensure the most important work is prioritized, resourced, and delivered successfully.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Strategic Project Lead owns the delivery of a set of high-priority research and deployment projects. They partner with teams across the company to define goals, build practical plans, align resources, manage risks and dependencies, and drive projects through completion.</p><p style=\"min-height:1.5em\">This role requires sound judgment, clear communication, and a strong sense of ownership. The SPL creates clarity where it is needed, helps teams make informed tradeoffs, and keeps everyone aligned around the desired outcome.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own delivery of assigned research and deployment initiatives from intake through completion.</p></li><li><p style=\"min-height:1.5em\">Partner with researchers and stakeholders to define scope, success criteria, timelines, and operational requirements.</p></li><li><p style=\"min-height:1.5em\">Prioritize work and allocate resources across competing projects based on impact, urgency, and available capacity.</p></li><li><p style=\"min-height:1.5em\">Build execution plans that define staffing, robot allocation, dependencies, milestones, and delivery timelines.</p></li><li><p style=\"min-height:1.5em\">Direct project execution across Research Associates, Production Operations, and partner teams.</p></li><li><p style=\"min-height:1.5em\">Identify and resolve risks, bottlenecks, staffing gaps, and dependency conflicts before they impact delivery.</p></li><li><p style=\"min-height:1.5em\">Drive project reviews, stakeholder communication, escalations, and delivery decisions.</p></li><li><p style=\"min-height:1.5em\">Improve planning, prioritization, and operational systems as the organization scales.</p></li></ul><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><p style=\"min-height:1.5em\">This role sits at the intersection of program management, operations leadership, and research enablement. We’re looking for someone who can create clarity from ambiguity, coordinate complex work across teams, and consistently deliver results in fast-moving environments.</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">2+ years of experience in program management, operations, technical project management, consulting, startup operations, or similar roles.</p></li><li><p style=\"min-height:1.5em\">Experience leading complex cross-functional initiatives involving multiple stakeholders and competing priorities.</p></li><li><p style=\"min-height:1.5em\">Strong track record of translating ambiguous goals into executable plans and successful outcomes.</p></li><li><p style=\"min-height:1.5em\">Experience balancing competing priorities and making thoughtful resource-allocation decisions.</p></li><li><p style=\"min-height:1.5em\">Ability to quickly understand technical goals, operational constraints, and execution tradeoffs.</p></li><li><p style=\"min-height:1.5em\">Experience communicating effectively with both technical and non-technical stakeholders.</p></li></ul><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience supporting AI, robotics, hardware, or research organizations.</p></li><li><p style=\"min-height:1.5em\">Experience managing data collection, evaluation, annotation, or operational programs.</p></li><li><p style=\"min-height:1.5em\">Familiarity with robotics workflows and teleoperation environments.</p></li><li><p style=\"min-height:1.5em\">Experience building operational processes and scaling teams.</p></li><li><p style=\"min-height:1.5em\">Experience working directly with researchers, engineers, or technical product teams.</p><p style=\"min-height:1.5em\"></p></li></ul><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Who We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nHigh-quality data is the fuel for that mission. As our research and deployment efforts scale, coordinating people, robots, scenes, evaluation, annotation, and operational capacity becomes increasingly complex. Strategic Project Leads ensure the most important work is prioritized, resourced, and delivered successfully.\n\nThe Team\n\nThe Strategic Project Lead owns the delivery of a set of high-priority research and deployment projects. They partner with teams across the company to define goals, build practical plans, align resources, manage risks and dependencies, and drive projects through completion.\n\nThis role requires sound judgment, clear communication, and a strong sense of ownership. The SPL creates clarity where it is needed, helps teams make informed tradeoffs, and keeps everyone aligned around the desired outcome.\n\nIn This Role You Will\n\n - Own delivery of assigned research and deployment initiatives from intake through completion.\n\n - Partner with researchers and stakeholders to define scope, success criteria, timelines, and operational requirements.\n\n - Prioritize work and allocate resources across competing projects based on impact, urgency, and available capacity.\n\n - Build execution plans that define staffing, robot allocation, dependencies, milestones, and delivery timelines.\n\n - Direct project execution across Research Associates, Production Operations, and partner teams.\n\n - Identify and resolve risks, bottlenecks, staffing gaps, and dependency conflicts before they impact delivery.\n\n - Drive project reviews, stakeholder communication, escalations, and delivery decisions.\n\n - Improve planning, prioritization, and operational systems as the organization scales.\n\nWhat We Hope You’ll Bring\n\nThis role sits at the intersection of program management, operations leadership, and research enablement. We’re looking for someone who can create clarity from ambiguity, coordinate complex work across teams, and consistently deliver results in fast-moving environments.\n\n - 2+ years of experience in program management, operations, technical project management, consulting, startup operations, or similar roles.\n\n - Experience leading complex cross-functional initiatives involving multiple stakeholders and competing priorities.\n\n - Strong track record of translating ambiguous goals into executable plans and successful outcomes.\n\n - Experience balancing competing priorities and making thoughtful resource-allocation decisions.\n\n - Ability to quickly understand technical goals, operational constraints, and execution tradeoffs.\n\n - Experience communicating effectively with both technical and non-technical stakeholders.\n\nBonus Points\n\n - Experience supporting AI, robotics, hardware, or research organizations.\n\n - Experience managing data collection, evaluation, annotation, or operational programs.\n\n - Familiarity with robotics workflows and teleoperation environments.\n\n - Experience building operational processes and scaling teams.\n\n - Experience working directly with researchers, engineers, or technical product teams.\n   \n   \n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"81d1eb25-ada9-40fd-8708-e1e42ecb2b7e","title":"Production Test Engineer","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-03T22:25:15.494+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/81d1eb25-ada9-40fd-8708-e1e42ecb2b7e","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/81d1eb25-ada9-40fd-8708-e1e42ecb2b7e/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically actuated devices of the future.</p><p style=\"min-height:1.5em\">We’re looking for a Production Test Lead to build the software foundation for manufacturing Physical Intelligence’s robotic systems at increasing volume.</p><p style=\"min-height:1.5em\">You’ll own the systems that technicians use to flash firmware, provision devices, configure hardware, execute calibration and test procedures, and record manufacturing results. You’ll translate evolving engineering processes into safe, guided workflows that can be executed consistently without requiring technicians to use a command line or understand the underlying implementation.</p><p style=\"min-height:1.5em\">This role sits at the intersection of runtime software, hardware engineering, manufacturing, test, infrastructure, and inventory systems. You will work closely with those teams to turn prototype scripts and manual procedures into secure, observable, versioned production tooling.</p><p style=\"min-height:1.5em\"><strong>In this role you will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own the architecture and development of PI’s manufacturing software platform.</p></li><li><p style=\"min-height:1.5em\">Build technician-friendly, step-by-step workflows for assembly, flashing, provisioning, calibration, and final test.</p></li><li><p style=\"min-height:1.5em\">Convert engineering scripts and manual procedures into versioned, repeatable manufacturing operations.</p></li><li><p style=\"min-height:1.5em\">Develop local station software that securely exposes allowlisted hardware capabilities to hosted manufacturing workflows.</p></li><li><p style=\"min-height:1.5em\">Design workflow primitives for automated steps, operator instructions, retries, timeouts, cancellation, resumability, and acceptance criteria.</p></li><li><p style=\"min-height:1.5em\">Build reliable mechanisms for downloading, caching, verifying, and updating firmware and manufacturing binaries.</p></li><li><p style=\"min-height:1.5em\">Integrate manufacturing workflows with inventory systems to register hardware, assign identities, and record required metadata.</p></li><li><p style=\"min-height:1.5em\">Establish traceability for operators, stations, devices, software versions, step results, durations, and captured test artifacts.</p></li><li><p style=\"min-height:1.5em\">Debug problems across cloud services, local Linux stations, networks, embedded devices, and test equipment.</p></li><li><p style=\"min-height:1.5em\">Partner with manufacturing and hardware engineers to define acceptance criteria and automate quality checks.</p></li></ul><p style=\"min-height:1.5em\"><strong>What we hope you'll bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field, or equivalent practical experience.</p></li><li><p style=\"min-height:1.5em\">5+ years of software engineering experience, preferably involving manufacturing, robotics, hardware test, embedded systems, or fleet operations.</p></li><li><p style=\"min-height:1.5em\">Strong Python experience and familiarity with Linux systems, services, permissions, packaging, and process management.</p></li><li><p style=\"min-height:1.5em\">Experience building reliable web applications and APIs used to orchestrate local or remote hardware.</p></li><li><p style=\"min-height:1.5em\">Experience designing stateful workflows with retries, timeouts, resumability, cancellation, and failure recovery.</p></li><li><p style=\"min-height:1.5em\">Familiarity with device provisioning, firmware flashing, OTA updates, calibration, or automated hardware testing.</p></li><li><p style=\"min-height:1.5em\">Experience integrating with inventory, traceability, MES, ERP, or similar production systems.</p></li><li><p style=\"min-height:1.5em\">Strong understanding of asynchronous jobs, idempotency, durable state, and distributed-system failure modes.</p></li><li><p style=\"min-height:1.5em\">Experience with secure artifact distribution, authentication, authorization, and least-privilege hardware access.</p></li><li><p style=\"min-height:1.5em\">Ability to diagnose issues across browsers, networks, operating systems, backend services, and physical devices.</p></li><li><p style=\"min-height:1.5em\">Strong product judgment for technician-facing workflows and operational tooling.</p></li><li><p style=\"min-height:1.5em\">Excellent cross-functional communication and project-management skills.</p></li></ul><p style=\"min-height:1.5em\"><strong>Bonus points if you have</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with robotics, computer vision, camera calibration, networking hardware, Raspberry Pi-class devices, Bazel, Kubernetes, or cloud infrastructure.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically actuated devices of the future.\n\nWe’re looking for a Production Test Lead to build the software foundation for manufacturing Physical Intelligence’s robotic systems at increasing volume.\n\nYou’ll own the systems that technicians use to flash firmware, provision devices, configure hardware, execute calibration and test procedures, and record manufacturing results. You’ll translate evolving engineering processes into safe, guided workflows that can be executed consistently without requiring technicians to use a command line or understand the underlying implementation.\n\nThis role sits at the intersection of runtime software, hardware engineering, manufacturing, test, infrastructure, and inventory systems. You will work closely with those teams to turn prototype scripts and manual procedures into secure, observable, versioned production tooling.\n\nIn this role you will\n\n - Own the architecture and development of PI’s manufacturing software platform.\n\n - Build technician-friendly, step-by-step workflows for assembly, flashing, provisioning, calibration, and final test.\n\n - Convert engineering scripts and manual procedures into versioned, repeatable manufacturing operations.\n\n - Develop local station software that securely exposes allowlisted hardware capabilities to hosted manufacturing workflows.\n\n - Design workflow primitives for automated steps, operator instructions, retries, timeouts, cancellation, resumability, and acceptance criteria.\n\n - Build reliable mechanisms for downloading, caching, verifying, and updating firmware and manufacturing binaries.\n\n - Integrate manufacturing workflows with inventory systems to register hardware, assign identities, and record required metadata.\n\n - Establish traceability for operators, stations, devices, software versions, step results, durations, and captured test artifacts.\n\n - Debug problems across cloud services, local Linux stations, networks, embedded devices, and test equipment.\n\n - Partner with manufacturing and hardware engineers to define acceptance criteria and automate quality checks.\n\nWhat we hope you'll bring\n\n - Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field, or equivalent practical experience.\n\n - 5+ years of software engineering experience, preferably involving manufacturing, robotics, hardware test, embedded systems, or fleet operations.\n\n - Strong Python experience and familiarity with Linux systems, services, permissions, packaging, and process management.\n\n - Experience building reliable web applications and APIs used to orchestrate local or remote hardware.\n\n - Experience designing stateful workflows with retries, timeouts, resumability, cancellation, and failure recovery.\n\n - Familiarity with device provisioning, firmware flashing, OTA updates, calibration, or automated hardware testing.\n\n - Experience integrating with inventory, traceability, MES, ERP, or similar production systems.\n\n - Strong understanding of asynchronous jobs, idempotency, durable state, and distributed-system failure modes.\n\n - Experience with secure artifact distribution, authentication, authorization, and least-privilege hardware access.\n\n - Ability to diagnose issues across browsers, networks, operating systems, backend services, and physical devices.\n\n - Strong product judgment for technician-facing workflows and operational tooling.\n\n - Excellent cross-functional communication and project-management skills.\n\nBonus points if you have\n\n - Experience with robotics, computer vision, camera calibration, networking hardware, Raspberry Pi-class devices, Bazel, Kubernetes, or cloud infrastructure.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"17107519-0e50-430a-b742-200f08388d29","title":"Prototype Engineer","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-07-24T22:47:28.335+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/17107519-0e50-430a-b742-200f08388d29","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/17107519-0e50-430a-b742-200f08388d29/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are </strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">We're looking for a Prototype Engineer, an engineering generalist who sits at the intersection of enabling research and deloying into real-world applications. You'll work closely with our research and engineering teams to rapidly design, build, and iterate on concept mechanical, electrical, and sensor prototypes that push the boundaries of what our robots can do.</p><p style=\"min-height:1.5em\">This role is uniquely positioned between R&amp;D and hardware engineering. You'll translate research ideas into physical systems, build end-to-end prototypes from scratch, and ensure our hardware performs reliably when interacting with real-world objects. You're the person both the hardware team and researchers come to when they need something built and rapidly iterated on. When successful, you'll be responsible for turning these into scalable solutions that support multiple hardware platforms in our fleet.</p><p style=\"min-height:1.5em\"><strong>In this role you will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Rapidly design and fabricate mechanical, electrical, and sensor prototypes to support research experiments and engineering development.</p></li><li><p style=\"min-height:1.5em\">Partner directly with researchers to understand experimental requirements and translate them into buildable hardware systems.</p></li><li><p style=\"min-height:1.5em\">Build end-to-end prototype systems: from concept sketches through CAD, fabrication, wiring, sensor integration, and validation.</p></li><li><p style=\"min-height:1.5em\">Develop quick-turn PCBs, wiring harnesses, and cable assemblies for prototype electronics.</p></li><li><p style=\"min-height:1.5em\">Evaluate and select sensors, actuators, and off-the-shelf components for integration into prototype systems.</p></li><li><p style=\"min-height:1.5em\">Design and iterate on fixtures, jigs, test rigs, and custom tooling to enable research workflows.</p></li><li><p style=\"min-height:1.5em\">Perform hands-on assembly, troubleshooting, and debugging of electromechanical and robotic systems.</p></li><li><p style=\"min-height:1.5em\">Collaborate with electrical and robot software engineers to integrate hardware with control systems, firmware, and runtime software.</p></li><li><p style=\"min-height:1.5em\">Identify and address failure modes specific to hardware operating in unstructured, real-world environments (contact forces, wear, thermal effects, cable management, etc.).</p></li><li><p style=\"min-height:1.5em\">Document designs, test results, and build procedures to support knowledge transfer and design iteration.</p></li></ul><p style=\"min-height:1.5em\"><strong>What we hope you'll bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Bachelor's degree in Mechanical, Electrical or Mechatronics Engineering, or a related field.</p></li><li><p style=\"min-height:1.5em\">2-5 years of experience in prototyping, R&amp;D engineering, or hardware development, ideally preferably in robotics, automotive, consumer electronics, or research lab environments.</p></li><li><p style=\"min-height:1.5em\">Proficiency in CAD software (Onshape, SolidWorks, or Fusion 360) with strong 3D modeling and drafting skills.</p></li><li><p style=\"min-height:1.5em\">Working knowledge of PCB design, electronics and comfortable soldering, wiring, reading schematics, and integrating sensors (force/torque, IMUs, cameras, encoders, etc.).</p></li><li><p style=\"min-height:1.5em\">Hands-on expertise with rapid prototyping methods: 3D printing (FDM/SLA), laser cutting, CNC machining, sheet metal fabrication, and manual machining.</p></li><li><p style=\"min-height:1.5em\">Familiarity with the robotics domain, with an understanding of kinematics, actuation, compliant mechanisms, and the challenges of hardware interacting with unstructured real-world environments.</p></li><li><p style=\"min-height:1.5em\">Ability to build full first-pass systems end-to-end, from mechanical structure through electrical integration to basic software scripting.</p></li><li><p style=\"min-height:1.5em\">Strong communication skills, with the ability to speak the language of both researchers and engineers. Translating abstract research needs or engineering requests into tangible concepts.</p></li><li><p style=\"min-height:1.5em\">Comfort working in a fast-paced, ambiguous environment where requirements evolve quickly and scrappiness is valued.</p></li><li><p style=\"min-height:1.5em\">Experience with basic scripting (Python) for test automation, data collection, or hardware interfacing is a plus.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Who We Are \n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nWe're looking for a Prototype Engineer, an engineering generalist who sits at the intersection of enabling research and deloying into real-world applications. You'll work closely with our research and engineering teams to rapidly design, build, and iterate on concept mechanical, electrical, and sensor prototypes that push the boundaries of what our robots can do.\n\nThis role is uniquely positioned between R&D and hardware engineering. You'll translate research ideas into physical systems, build end-to-end prototypes from scratch, and ensure our hardware performs reliably when interacting with real-world objects. You're the person both the hardware team and researchers come to when they need something built and rapidly iterated on. When successful, you'll be responsible for turning these into scalable solutions that support multiple hardware platforms in our fleet.\n\nIn this role you will\n\n - Rapidly design and fabricate mechanical, electrical, and sensor prototypes to support research experiments and engineering development.\n\n - Partner directly with researchers to understand experimental requirements and translate them into buildable hardware systems.\n\n - Build end-to-end prototype systems: from concept sketches through CAD, fabrication, wiring, sensor integration, and validation.\n\n - Develop quick-turn PCBs, wiring harnesses, and cable assemblies for prototype electronics.\n\n - Evaluate and select sensors, actuators, and off-the-shelf components for integration into prototype systems.\n\n - Design and iterate on fixtures, jigs, test rigs, and custom tooling to enable research workflows.\n\n - Perform hands-on assembly, troubleshooting, and debugging of electromechanical and robotic systems.\n\n - Collaborate with electrical and robot software engineers to integrate hardware with control systems, firmware, and runtime software.\n\n - Identify and address failure modes specific to hardware operating in unstructured, real-world environments (contact forces, wear, thermal effects, cable management, etc.).\n\n - Document designs, test results, and build procedures to support knowledge transfer and design iteration.\n\nWhat we hope you'll bring\n\n - Bachelor's degree in Mechanical, Electrical or Mechatronics Engineering, or a related field.\n\n - 2-5 years of experience in prototyping, R&D engineering, or hardware development, ideally preferably in robotics, automotive, consumer electronics, or research lab environments.\n\n - Proficiency in CAD software (Onshape, SolidWorks, or Fusion 360) with strong 3D modeling and drafting skills.\n\n - Working knowledge of PCB design, electronics and comfortable soldering, wiring, reading schematics, and integrating sensors (force/torque, IMUs, cameras, encoders, etc.).\n\n - Hands-on expertise with rapid prototyping methods: 3D printing (FDM/SLA), laser cutting, CNC machining, sheet metal fabrication, and manual machining.\n\n - Familiarity with the robotics domain, with an understanding of kinematics, actuation, compliant mechanisms, and the challenges of hardware interacting with unstructured real-world environments.\n\n - Ability to build full first-pass systems end-to-end, from mechanical structure through electrical integration to basic software scripting.\n\n - Strong communication skills, with the ability to speak the language of both researchers and engineers. Translating abstract research needs or engineering requests into tangible concepts.\n\n - Comfort working in a fast-paced, ambiguous environment where requirements evolve quickly and scrappiness is valued.\n\n - Experience with basic scripting (Python) for test automation, data collection, or hardware interfacing is a plus.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"58bd9bea-c447-4c85-8514-0e4486331683","title":"People Ops","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-14T23:26:53.854+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/58bd9bea-c447-4c85-8514-0e4486331683","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/58bd9bea-c447-4c85-8514-0e4486331683/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">You will sit within the People team, reporting to the HRBP and working closely with recruitment, the Head of People, and our Business Operations lead. The People team is small and high-ownership: we build the systems and programs that support PI's workforce as the company scales from startup to industry leader. Your operational precision will directly enable the team to move faster and stay compliant.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Onboarding: </strong>Design and create workflows that make for simple, and accurate onboarding that support the new hire experience, customized to their role and journey. Ensure training materials are automated and accurate by population.</p></li><li><p style=\"min-height:1.5em\"><strong>Payroll Administration: </strong>Own the end-to-end payroll process for hourly and exempt employees in Rippling, including timesheet audits, time off, premium pay calculations (shift differentials, OT, double time), off-cycle corrections, and final pay compliance. Own structure around approval paths and processes, and identify/act on concerning trends or outliers.</p></li><li><p style=\"min-height:1.5em\"><strong>Benefits Administration: </strong>Manage open enrollment, qualifying life event processing, carrier data audits, EOI notices, and employee-facing benefits communications. Serve as the primary point of contact for employee benefits questions and escalations.</p></li><li><p style=\"min-height:1.5em\"><strong>HRIS and Data Integrity: </strong>Maintain Rippling as the system of record: employee records, job and compensation changes, onboarding/offboarding workflows, and reporting. Audit data regularly and resolve discrepancies with payroll and finance.</p></li><li><p style=\"min-height:1.5em\"><strong>Compliance: </strong>Monitor and execute on Federal, California, and San Francisco compliance obligations including things like new hire documents, I-9s, leave administration, fair chance notices and other reporting requirements like EEOC or California Pay Data Reporting.</p></li><li><p style=\"min-height:1.5em\"><strong>HR Operations Support: </strong>Partner with the HRBP on operational components of employee relations, leaves, accommodations, and separation workflows. Draft and maintain standard HR documents including offer letters, notices, and policy acknowledgments. Build, or re-build current processes to increase efficiency or support for employees.</p></li></ul><p style=\"min-height:1.5em\"><strong>What We Hope You'll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>3-5 years of HR operations experience: </strong>in California, with exposure to both high volume hourly and exempt populations, throughout their employment experience.</p></li><li><p style=\"min-height:1.5em\"><strong>Fluency in Rippling: </strong>ability to architect and troubleshoot as needed, avoiding unexpected results</p></li><li><p style=\"min-height:1.5em\"><strong>Strong working knowledge of California wage and hour law: </strong>including overtime, meal and rest break rules, final pay requirements, and regular rate of pay calculations.</p></li><li><p style=\"min-height:1.5em\"><strong>Experience administering group health benefits: </strong>including carrier relationships, open enrollment, and QLE processing.</p></li><li><p style=\"min-height:1.5em\"><strong>Exceptional attention to detail and process ownership: </strong>you catch errors before they become problems and document your work clearly. Own the process, and rebuild it if suboptimal.</p></li><li><p style=\"min-height:1.5em\"><strong>Excited to create and refine processes to support in a high growth environment:</strong> Able to build process as we scale from 300 to 500+ employees</p></li></ul><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Familiarity with San Francisco-specific compliance requirements: </strong>including HCSO, SF PPLO, and the SF Fair Chance Ordinance.</p></li><li><p style=\"min-height:1.5em\"><strong>Prior experience at a startup or high-growth company: </strong>where you have had to build processes from scratch, or rebuilt the existing.</p></li><li><p style=\"min-height:1.5em\"><strong>Experience as an HR generalist</strong>: ability to understand how HR OPs fits into the bigger picture, and build strong, workflows.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nThe Team\n\nYou will sit within the People team, reporting to the HRBP and working closely with recruitment, the Head of People, and our Business Operations lead. The People team is small and high-ownership: we build the systems and programs that support PI's workforce as the company scales from startup to industry leader. Your operational precision will directly enable the team to move faster and stay compliant.\n\nIn This Role You Will\n\n - Onboarding: Design and create workflows that make for simple, and accurate onboarding that support the new hire experience, customized to their role and journey. Ensure training materials are automated and accurate by population.\n\n - Payroll Administration: Own the end-to-end payroll process for hourly and exempt employees in Rippling, including timesheet audits, time off, premium pay calculations (shift differentials, OT, double time), off-cycle corrections, and final pay compliance. Own structure around approval paths and processes, and identify/act on concerning trends or outliers.\n\n - Benefits Administration: Manage open enrollment, qualifying life event processing, carrier data audits, EOI notices, and employee-facing benefits communications. Serve as the primary point of contact for employee benefits questions and escalations.\n\n - HRIS and Data Integrity: Maintain Rippling as the system of record: employee records, job and compensation changes, onboarding/offboarding workflows, and reporting. Audit data regularly and resolve discrepancies with payroll and finance.\n\n - Compliance: Monitor and execute on Federal, California, and San Francisco compliance obligations including things like new hire documents, I-9s, leave administration, fair chance notices and other reporting requirements like EEOC or California Pay Data Reporting.\n\n - HR Operations Support: Partner with the HRBP on operational components of employee relations, leaves, accommodations, and separation workflows. Draft and maintain standard HR documents including offer letters, notices, and policy acknowledgments. Build, or re-build current processes to increase efficiency or support for employees.\n\nWhat We Hope You'll Bring\n\n - 3-5 years of HR operations experience: in California, with exposure to both high volume hourly and exempt populations, throughout their employment experience.\n\n - Fluency in Rippling: ability to architect and troubleshoot as needed, avoiding unexpected results\n\n - Strong working knowledge of California wage and hour law: including overtime, meal and rest break rules, final pay requirements, and regular rate of pay calculations.\n\n - Experience administering group health benefits: including carrier relationships, open enrollment, and QLE processing.\n\n - Exceptional attention to detail and process ownership: you catch errors before they become problems and document your work clearly. Own the process, and rebuild it if suboptimal.\n\n - Excited to create and refine processes to support in a high growth environment: Able to build process as we scale from 300 to 500+ employees\n\nBonus Points\n\n - Familiarity with San Francisco-specific compliance requirements: including HCSO, SF PPLO, and the SF Fair Chance Ordinance.\n\n - Prior experience at a startup or high-growth company: where you have had to build processes from scratch, or rebuilt the existing.\n\n - Experience as an HR generalist: ability to understand how HR OPs fits into the bigger picture, and build strong, workflows.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"c01b0e18-5eb8-4255-a10a-7e9a171676b7","title":"Software Engineer, Data Quality ","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-08-25T05:29:47.445+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/c01b0e18-5eb8-4255-a10a-7e9a171676b7","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/c01b0e18-5eb8-4255-a10a-7e9a171676b7/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing learning algorithms to create a model that will control any robot to do any task.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">Training robot foundation models takes enormous amounts of multimodal data. The Data Operations team makes sure that data is high quality, well understood, and safe to train on. This role owns quality assurance and audit for data, working closely with the researchers who consume it and the teams who create it.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own external data QA &amp; audit: Build and run the end-to-end QA process for multimodal data ingested from third-party vendors and partners — sampling strategy, review workflows, pass/fail decisions, and audit trails — so data is verified before it reaches training.</p></li><li><p style=\"min-height:1.5em\">Define quality standards: Partner with researchers to translate what \"good data\" means into concrete, measurable rubrics and acceptance criteria; keep them versioned and current as research needs evolve.</p></li><li><p style=\"min-height:1.5em\">Build the system: Build the software interfaces, tooling, and infrastructure scale the system in an automated way - correctly sampling the right data for QA, internal QA checks, tracking dips in data quality from vendors and exposing those insights back to the vendors.</p></li><li><p style=\"min-height:1.5em\">Manage vendor quality loops: Deliver structured, actionable feedback to vendors; coach them on standing up QA checks on their own side; iterate until vendor-side and internal QA agree; enforce standards through review and acceptance processes.</p></li></ul><p style=\"min-height:1.5em\"><strong>What you'll bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">~5 years of experience across building customer facing software.</p></li><li><p style=\"min-height:1.5em\">Vendor management experience: working directly with third-party data providers, delivering actionable feedback, and measurably improving the quality of their output.</p></li><li><p style=\"min-height:1.5em\">Strong ops acumen and drive — a bias to instrument, measure, and iterate quickly rather than crank hours at a broken process.</p></li><li><p style=\"min-height:1.5em\">Comfort being hands-on in the data: reviewing samples yourself, writing and refining rubrics, and spot-checking your own program's output.</p></li><li><p style=\"min-height:1.5em\">Clear written and verbal communication across researchers, operations teams, and external partners.</p></li></ul><p style=\"min-height:1.5em\"><strong>Nice to have</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with robotics, egocentric video, or other multimodal sensor data.</p></li><li><p style=\"min-height:1.5em\">Experience defining requirements for QA/validation tooling or working with engineers on automated data quality checks.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing learning algorithms to create a model that will control any robot to do any task.\n\nThe Team\n\nTraining robot foundation models takes enormous amounts of multimodal data. The Data Operations team makes sure that data is high quality, well understood, and safe to train on. This role owns quality assurance and audit for data, working closely with the researchers who consume it and the teams who create it.\n\nIn This Role You Will\n\n - Own external data QA & audit: Build and run the end-to-end QA process for multimodal data ingested from third-party vendors and partners — sampling strategy, review workflows, pass/fail decisions, and audit trails — so data is verified before it reaches training.\n\n - Define quality standards: Partner with researchers to translate what \"good data\" means into concrete, measurable rubrics and acceptance criteria; keep them versioned and current as research needs evolve.\n\n - Build the system: Build the software interfaces, tooling, and infrastructure scale the system in an automated way - correctly sampling the right data for QA, internal QA checks, tracking dips in data quality from vendors and exposing those insights back to the vendors.\n\n - Manage vendor quality loops: Deliver structured, actionable feedback to vendors; coach them on standing up QA checks on their own side; iterate until vendor-side and internal QA agree; enforce standards through review and acceptance processes.\n\nWhat you'll bring\n\n - ~5 years of experience across building customer facing software.\n\n - Vendor management experience: working directly with third-party data providers, delivering actionable feedback, and measurably improving the quality of their output.\n\n - Strong ops acumen and drive — a bias to instrument, measure, and iterate quickly rather than crank hours at a broken process.\n\n - Comfort being hands-on in the data: reviewing samples yourself, writing and refining rubrics, and spot-checking your own program's output.\n\n - Clear written and verbal communication across researchers, operations teams, and external partners.\n\nNice to have\n\n - Experience with robotics, egocentric video, or other multimodal sensor data.\n\n - Experience defining requirements for QA/validation tooling or working with engineers on automated data quality checks.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"96bf6ea8-fb8d-4a76-bec7-878a8c224cea","title":"ML Infra Engineer, Modeling","department":"Machine Learning","team":"Machine Learning Infrastructure","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-01T01:09:51.071+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/96bf6ea8-fb8d-4a76-bec7-878a8c224cea","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/96bf6ea8-fb8d-4a76-bec7-878a8c224cea/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">In this role you will help scale and optimize our training systems and core model code. You’ll own critical infrastructure for large-scale training, from managing GPU/TPU compute and job orchestration to building reusable and efficient JAX training pipelines. You’ll work closely with researchers and model engineers to translate ideas into experiments—and those experiments into production training runs.</p><p style=\"min-height:1.5em\">This is a hands-on, high-leverage role at the intersection of ML, software engineering, and scalable infrastructure.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The ML Infrastructure team supports and accelerates PI’s core modeling efforts by building the systems that make large-scale training reliable, reproducible, and fast. The team works closely with research, data, and platform engineers to ensure models can scale from prototype to production-grade training runs.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Own training/inference infrastructure:</strong> Design, implement, and maintain systems for large-scale model training, including scheduling, job management, checkpointing, and metrics/logging.</p></li><li><p style=\"min-height:1.5em\"><strong>Scale distributed training:</strong> Work with researchers to scale JAX-based training across TPU and GPU clusters with minimal friction.</p></li><li><p style=\"min-height:1.5em\"><strong>Optimize performance:</strong> Profile and improve memory usage, device utilization, throughput, and distributed synchronization.</p></li><li><p style=\"min-height:1.5em\"><strong>Enable rapid iteration: </strong>Build abstractions for launching, monitoring, debugging, and reproducing experiments.</p></li><li><p style=\"min-height:1.5em\"><strong>Partner with researchers: </strong>Translate research needs into infra capabilities and guide best practices for training at scale.</p></li><li><p style=\"min-height:1.5em\"><strong>Contribute to core training code:</strong> Evolve JAX model and training code to support new architectures, modalities, and evaluation metrics.</p></li></ul><p style=\"min-height:1.5em\"><strong>What We Hope You’ll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong software engineering fundamentals and experience building ML training infrastructure or internal platforms.</p></li><li><p style=\"min-height:1.5em\">Hands-on large-scale training experience in JAX (preferred), PyTorch.</p></li><li><p style=\"min-height:1.5em\">Familiarity with distributed training, multi-host setups, data loaders, and evaluation pipelines.</p></li><li><p style=\"min-height:1.5em\">Experience managing training workloads on cloud platforms (e.g., SLURM, Kubernetes, GCP TPU/GKE, AWS).</p></li><li><p style=\"min-height:1.5em\">Ability to debug and optimize performance bottlenecks across the training stack.</p></li><li><p style=\"min-height:1.5em\">Strong cross-functional communication and ownership mindset.</p></li></ul><p style=\"min-height:1.5em\"><strong>Bonus Points If You Have</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Deep ML systems background (e.g., training compilers, runtime optimization, custom kernels).</p></li><li><p style=\"min-height:1.5em\">Experience operating close to hardware (GPU/TPU performance tuning).</p></li><li><p style=\"min-height:1.5em\">Background in robotics, multimodal models, or large-scale foundation models.</p></li><li><p style=\"min-height:1.5em\">Experience designing abstractions that balance researcher flexibility with system reliability.</p></li></ul><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nIn this role you will help scale and optimize our training systems and core model code. You’ll own critical infrastructure for large-scale training, from managing GPU/TPU compute and job orchestration to building reusable and efficient JAX training pipelines. You’ll work closely with researchers and model engineers to translate ideas into experiments—and those experiments into production training runs.\n\nThis is a hands-on, high-leverage role at the intersection of ML, software engineering, and scalable infrastructure.\n\nThe Team\n\nThe ML Infrastructure team supports and accelerates PI’s core modeling efforts by building the systems that make large-scale training reliable, reproducible, and fast. The team works closely with research, data, and platform engineers to ensure models can scale from prototype to production-grade training runs.\n\nIn This Role You Will\n\n - Own training/inference infrastructure: Design, implement, and maintain systems for large-scale model training, including scheduling, job management, checkpointing, and metrics/logging.\n\n - Scale distributed training: Work with researchers to scale JAX-based training across TPU and GPU clusters with minimal friction.\n\n - Optimize performance: Profile and improve memory usage, device utilization, throughput, and distributed synchronization.\n\n - Enable rapid iteration: Build abstractions for launching, monitoring, debugging, and reproducing experiments.\n\n - Partner with researchers: Translate research needs into infra capabilities and guide best practices for training at scale.\n\n - Contribute to core training code: Evolve JAX model and training code to support new architectures, modalities, and evaluation metrics.\n\nWhat We Hope You’ll Bring\n\n - Strong software engineering fundamentals and experience building ML training infrastructure or internal platforms.\n\n - Hands-on large-scale training experience in JAX (preferred), PyTorch.\n\n - Familiarity with distributed training, multi-host setups, data loaders, and evaluation pipelines.\n\n - Experience managing training workloads on cloud platforms (e.g., SLURM, Kubernetes, GCP TPU/GKE, AWS).\n\n - Ability to debug and optimize performance bottlenecks across the training stack.\n\n - Strong cross-functional communication and ownership mindset.\n\nBonus Points If You Have\n\n - Deep ML systems background (e.g., training compilers, runtime optimization, custom kernels).\n\n - Experience operating close to hardware (GPU/TPU performance tuning).\n\n - Background in robotics, multimodal models, or large-scale foundation models.\n\n - Experience designing abstractions that balance researcher flexibility with system reliability.\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"b17fe406-ef13-4eb2-9ebc-e90979321c4e","title":"Lead Security Engineer","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-23T20:28:58.809+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/b17fe406-ef13-4eb2-9ebc-e90979321c4e","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/b17fe406-ef13-4eb2-9ebc-e90979321c4e/application","descriptionHtml":"<h2>Who We Are</h2><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><h2>The Team</h2><p style=\"min-height:1.5em\">You will work alongside the researchers and engineers bringing general-purpose AI into the physical world. We value pragmatism, initiative, and people who enjoy solving problems together. You will have the autonomy to identify what matters most and see improvements through.</p><h2>About the Role</h2><p style=\"min-height:1.5em\">You will secure the models, data, infrastructure, and compute that power Physical Intelligence. This is a hands-on role for someone who likes digging into systems and building reliable tools that help researchers and engineers work securely at speed. You will prioritize the biggest risks and build practical protections that keep pace with how we work.</p><h2>In This Role You Will</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Build and operate systems that protect our models, data, and compute.</p></li><li><p style=\"min-height:1.5em\">Partner with researchers and engineers on architecture and development workflows.</p></li><li><p style=\"min-height:1.5em\">Automate access management, infrastructure safeguards, and software delivery checks.</p></li><li><p style=\"min-height:1.5em\">Write production-quality tools and contribute fixes directly to engineering repositories.</p></li><li><p style=\"min-height:1.5em\">Find and exploit vulnerabilities, assess their impact, and validate fixes with system owners.</p></li><li><p style=\"min-height:1.5em\">Set security priorities and bring in outside expertise where needed.</p></li></ul><h2>What We Hope You’ll Bring</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong programming skills in Python, Go, or similar languages, including reviewing unfamiliar code and shipping maintainable software.</p></li><li><p style=\"min-height:1.5em\">A track record of partnering with engineering teams to solve problems from discovery through rollout.</p></li><li><p style=\"min-height:1.5em\">Experience operating and securing cloud infrastructure, including Linux, IAM, networking, containers, or CI/CD.</p></li><li><p style=\"min-height:1.5em\">Connections in the security community and curiosity about emerging threats and techniques.</p></li><li><p style=\"min-height:1.5em\">Hands-on offensive security experience and sound judgment about real-world risk.</p></li></ul><h2>Bonus Points</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience securing AI/ML infrastructure or agent execution environments.</p></li><li><p style=\"min-height:1.5em\">Experience building detection systems or helping establish a security function.</p></li><li><p style=\"min-height:1.5em\">Excitement about robotics and a desire to learn.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"WHO WE ARE\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\n\nTHE TEAM\n\nYou will work alongside the researchers and engineers bringing general-purpose AI into the physical world. We value pragmatism, initiative, and people who enjoy solving problems together. You will have the autonomy to identify what matters most and see improvements through.\n\n\nABOUT THE ROLE\n\nYou will secure the models, data, infrastructure, and compute that power Physical Intelligence. This is a hands-on role for someone who likes digging into systems and building reliable tools that help researchers and engineers work securely at speed. You will prioritize the biggest risks and build practical protections that keep pace with how we work.\n\n\nIN THIS ROLE YOU WILL\n\n - Build and operate systems that protect our models, data, and compute.\n\n - Partner with researchers and engineers on architecture and development workflows.\n\n - Automate access management, infrastructure safeguards, and software delivery checks.\n\n - Write production-quality tools and contribute fixes directly to engineering repositories.\n\n - Find and exploit vulnerabilities, assess their impact, and validate fixes with system owners.\n\n - Set security priorities and bring in outside expertise where needed.\n\n\nWHAT WE HOPE YOU’LL BRING\n\n - Strong programming skills in Python, Go, or similar languages, including reviewing unfamiliar code and shipping maintainable software.\n\n - A track record of partnering with engineering teams to solve problems from discovery through rollout.\n\n - Experience operating and securing cloud infrastructure, including Linux, IAM, networking, containers, or CI/CD.\n\n - Connections in the security community and curiosity about emerging threats and techniques.\n\n - Hands-on offensive security experience and sound judgment about real-world risk.\n\n\nBONUS POINTS\n\n - Experience securing AI/ML infrastructure or agent execution environments.\n\n - Experience building detection systems or helping establish a security function.\n\n - Excitement about robotics and a desire to learn.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"0825c70b-5bf2-4490-9611-74432fa32dc8","title":"Set Team Specialist ","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-12T22:06:04.596+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/0825c70b-5bf2-4490-9611-74432fa32dc8","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/0825c70b-5bf2-4490-9611-74432fa32dc8/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing learning algorithms to create a model that will control any robot to do any task.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The Set Team plans, builds, and maintains these environments so research can run on real-world tasks. \"Sets\" are the physical rooms and scenes where our robots collect data: kitchens, living rooms, evaluation stations, and more. As a Set Team Specialist, you'll keep active sets organized, staged, and inventory-accurate so research runs without interruption.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Audit Sets Daily: Check active sets every day for organization and cleanliness, working alongside the operator team.</p></li><li><p style=\"min-height:1.5em\">Stage &amp; Log: Stage props for new sets and log them accurately in inventory.</p></li><li><p style=\"min-height:1.5em\">Flag Issues: Follow a defined checklist and escalate missing props, sets out of spec, and inventory mismatches to the Set Team Coordinator.</p></li><li><p style=\"min-height:1.5em\">Support Prop Running: Deliver props and kits to operators when needed.</p></li></ul><p style=\"min-height:1.5em\"><strong>What We Hope You'll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">1+ year in retail merchandising, warehouse, stagehand, hospitality, or facilities work.</p></li><li><p style=\"min-height:1.5em\">Strong attention to detail and reliability.</p></li><li><p style=\"min-height:1.5em\">Comfort with basic inventory or tracking tools.</p></li><li><p style=\"min-height:1.5em\">Ability to stand, lift up to 40 lbs, and move around for a full shift.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing learning algorithms to create a model that will control any robot to do any task.\n\nThe Team\n\nThe Set Team plans, builds, and maintains these environments so research can run on real-world tasks. \"Sets\" are the physical rooms and scenes where our robots collect data: kitchens, living rooms, evaluation stations, and more. As a Set Team Specialist, you'll keep active sets organized, staged, and inventory-accurate so research runs without interruption.\n\nIn This Role You Will\n\n - Audit Sets Daily: Check active sets every day for organization and cleanliness, working alongside the operator team.\n\n - Stage & Log: Stage props for new sets and log them accurately in inventory.\n\n - Flag Issues: Follow a defined checklist and escalate missing props, sets out of spec, and inventory mismatches to the Set Team Coordinator.\n\n - Support Prop Running: Deliver props and kits to operators when needed.\n\nWhat We Hope You'll Bring\n\n - 1+ year in retail merchandising, warehouse, stagehand, hospitality, or facilities work.\n\n - Strong attention to detail and reliability.\n\n - Comfort with basic inventory or tracking tools.\n\n - Ability to stand, lift up to 40 lbs, and move around for a full shift.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"50f00992-a6c4-480b-a000-2efba5283379","title":"Embedded Engineer","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-12T23:21:30.943+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/50f00992-a6c4-480b-a000-2efba5283379","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/50f00992-a6c4-480b-a000-2efba5283379/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\"><strong>The team</strong></p><p style=\"min-height:1.5em\">This role is part of the Runtime team, but will include deep collaboration with the Research, Hardware, and Fleet teams.</p><p style=\"min-height:1.5em\"><strong>In this role you will:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Drive the architecture and implementation of embedded firmware for devices crucial to PI’s data collection goals</p></li><li><p style=\"min-height:1.5em\">Work with hardware and software teams to ensure the new devices we are building work seamlessly with existing and future data pipelines</p></li><li><p style=\"min-height:1.5em\">Embedded Linux System Bring-up: Lead the integration of embedded Linux devices with real-time sensor processing. This includes developing drivers for high-speed sensors, BSP development and customization, kernel configuration and debugging, hardware bring-up, and performance tuning across the hardware/software boundary.</p></li><li><p style=\"min-height:1.5em\">Hardware/Software Debugging: Use hardware abstraction tools and laboratory equipment to identify and resolve complex timing issues, race conditions, and hardware-software interface bugs.</p></li><li><p style=\"min-height:1.5em\">Power Optimization: Analyze and reduce power consumption for battery-operated devices, including on radio sleep states and sensor low-power modes.</p></li></ul><p style=\"min-height:1.5em\"><strong>What we hope you'll bring:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">BS/MS in Computer Science, Electrical Engineering, or related field.</p></li><li><p style=\"min-height:1.5em\">Strong software engineering and infrastructure skills, including building data pipelines, evaluation frameworks, and tools for rapid iteration.</p></li><li><p style=\"min-height:1.5em\">Comfort working hands-on with hardware.</p></li><li><p style=\"min-height:1.5em\">Strong communication skills for collaborating with hardware, software, and research teams</p></li><li><p style=\"min-height:1.5em\">Demonstrated experience leading initiatives from concept to production on aggressive schedules, and turning ambiguous product goals into functional requirements</p></li><li><p style=\"min-height:1.5em\">Experience leading initial board bring-up and software design for first-of-their-kind embedded devices.</p></li><li><p style=\"min-height:1.5em\">Hands-on experience with SPI, I2C, UART, USB, and the ability to debug complex hardware-software interactions.</p></li><li><p style=\"min-height:1.5em\">Experience architecting, implementing and debugging concurrent and multithreaded firmware services</p></li><li><p style=\"min-height:1.5em\">Deep understanding of modern operating systems, computer architecture, and trade-offs between compute, memory, and storage.</p></li><li><p style=\"min-height:1.5em\">Experience bringing up and integrating sensors on embedded systems; camera system bring-up, integration, and tuning is a plus.</p></li><li><p style=\"min-height:1.5em\">Proficiency in C++</p></li><li><p style=\"min-height:1.5em\">Familiarity with Bash scripting and Python for tooling and automation.</p></li></ul><p style=\"min-height:1.5em\"><strong>Bonus points if you have:</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Nice to have: Direct experience with Linux Kernel development, including writing or debugging drivers, managing device trees, or optimizing kernel-space performance.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nThe team\n\nThis role is part of the Runtime team, but will include deep collaboration with the Research, Hardware, and Fleet teams.\n\nIn this role you will:\n\n - Drive the architecture and implementation of embedded firmware for devices crucial to PI’s data collection goals\n\n - Work with hardware and software teams to ensure the new devices we are building work seamlessly with existing and future data pipelines\n\n - Embedded Linux System Bring-up: Lead the integration of embedded Linux devices with real-time sensor processing. This includes developing drivers for high-speed sensors, BSP development and customization, kernel configuration and debugging, hardware bring-up, and performance tuning across the hardware/software boundary.\n\n - Hardware/Software Debugging: Use hardware abstraction tools and laboratory equipment to identify and resolve complex timing issues, race conditions, and hardware-software interface bugs.\n\n - Power Optimization: Analyze and reduce power consumption for battery-operated devices, including on radio sleep states and sensor low-power modes.\n\nWhat we hope you'll bring:\n\n - BS/MS in Computer Science, Electrical Engineering, or related field.\n\n - Strong software engineering and infrastructure skills, including building data pipelines, evaluation frameworks, and tools for rapid iteration.\n\n - Comfort working hands-on with hardware.\n\n - Strong communication skills for collaborating with hardware, software, and research teams\n\n - Demonstrated experience leading initiatives from concept to production on aggressive schedules, and turning ambiguous product goals into functional requirements\n\n - Experience leading initial board bring-up and software design for first-of-their-kind embedded devices.\n\n - Hands-on experience with SPI, I2C, UART, USB, and the ability to debug complex hardware-software interactions.\n\n - Experience architecting, implementing and debugging concurrent and multithreaded firmware services\n\n - Deep understanding of modern operating systems, computer architecture, and trade-offs between compute, memory, and storage.\n\n - Experience bringing up and integrating sensors on embedded systems; camera system bring-up, integration, and tuning is a plus.\n\n - Proficiency in C++\n\n - Familiarity with Bash scripting and Python for tooling and automation.\n\nBonus points if you have:\n\n - Nice to have: Direct experience with Linux Kernel development, including writing or debugging drivers, managing device trees, or optimizing kernel-space performance.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"8a2bee0b-be32-4907-879d-f91957693e62","title":"Recruiter, Operations","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-16T14:11:17.101+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/8a2bee0b-be32-4907-879d-f91957693e62","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/8a2bee0b-be32-4907-879d-f91957693e62/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\"><strong>The Team</strong><br />Our operations teams keep Pi's robots running and learning every day. Robot Operators, copilots, shift leads, technicians, and props staff work on-site in San Francisco to collect the data our models are trained on, and we're growing these teams quickly. This role sits on the People team and partners directly with operations leadership to build and run the hiring engine behind that growth, starting with high-volume Robot Operator hiring.</p><p style=\"min-height:1.5em\"><strong>About the Role</strong><br />As Pi's Operations Recruiter, you'll own the recruiting funnel from candidate generation through screening: creating enough qualified candidate flow, conducting initial screens, deciding who advances, and handing strong candidates to the operations team for work trials. Over time you'll also support hiring for adjacent site-based roles such as copilots, shift leads, technicians, and props staff.</p><p style=\"min-height:1.5em\">This isn't a traditional corporate recruiting role. We're looking for someone who has recruited hourly workers at meaningful volume, can personally screen a large number of candidates efficiently, and knows how to build a repeatable local recruiting engine in San Francisco.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Build the Candidate Funnel: Generate a consistent pipeline of qualified candidates for Robot Operator and related operations roles — enough applicants to meet hiring plans and predictable weekly screen volume. Develop and manage channels including job boards, referrals, local partnerships, recruiting events, community organizations, and schools, and experiment with new acquisition channels as hiring demand shifts.</p></li><li><p style=\"min-height:1.5em\">Own Candidate Screening: Conduct initial screens for Robot Operator and other high-volume operations candidates, evaluating for reliability, communication, attention to detail, availability, motivation, and fit for the work. Hold a clear, consistent bar for who advances to a work trial, aiming for strong screen-to-trial conversion, high trial attendance, and high pass rates among the candidates you advance.</p></li><li><p style=\"min-height:1.5em\">Own Recruiting Throughput: Keep enough candidates at each stage of the funnel to hit weekly hiring targets, and maintain accurate visibility into expected candidate volume, upcoming trials, conversions, and starts.</p></li><li><p style=\"min-height:1.5em\">Deliver a Great Candidate Experience: Communicate clearly and promptly with candidates about the job, hiring process, schedule, compensation, and expectations, so that offer-to-start conversion stays strong and the hiring experience reflects well on Pi even at high volume.</p></li><li><p style=\"min-height:1.5em\">Build Recruiting Partnerships: Build relationships with organizations that can become durable sources of candidates. Work closely with operations leadership to understand hiring needs and candidate quality, gather feedback from work trials and managers, and use downstream performance to sharpen the recruiting profile and your screening decisions.</p></li><li><p style=\"min-height:1.5em\">Improve the Hiring System: Build simple, repeatable processes for high-volume recruiting. Track funnel conversion and performance by source, identify where candidates drop out, learn which sources produce the employees who actually start and succeed, improve messaging, scheduling, screening, and follow-up, and automate administrative recruiting work where possible.</p></li></ul><p style=\"min-height:1.5em\"><strong>What We Hope You'll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience recruiting hourly or high-volume roles (e.g., operations, warehouse, retail, hospitality, manufacturing, or field roles) where you owned sourcing and screening end to end</p></li><li><p style=\"min-height:1.5em\">A track record of personally screening a high volume of candidates each week while holding a consistent bar</p></li><li><p style=\"min-height:1.5em\">Hands-on experience building local candidate pipelines through community organizations, schools, events, referrals, and partnerships — ideally in the San Francisco Bay Area</p></li><li><p style=\"min-height:1.5em\">Comfort tracking funnel metrics and adjusting sourcing based on what the data says about conversion and downstream quality</p></li><li><p style=\"min-height:1.5em\">Clear, warm, and timely communication with candidates from a wide range of backgrounds</p></li><li><p style=\"min-height:1.5em\">Strong organization and follow-through in a fast-moving environment where hiring demand changes quickly</p></li><li><p style=\"min-height:1.5em\">Ability to work on-site in San Francisco</p></li></ul><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience recruiting for roles that use work trials, skills assessments, or on-the-job evaluations as part of the hiring process</p></li><li><p style=\"min-height:1.5em\">Familiarity with Ashby or a similar ATS, and with automating scheduling and candidate communications</p></li><li><p style=\"min-height:1.5em\">Experience at an early-stage startup or another environment where you built recruiting processes from scratch</p></li><li><p style=\"min-height:1.5em\">Existing relationships with Bay Area workforce development organizations, community colleges, or trade programs</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nThe Team\nOur operations teams keep Pi's robots running and learning every day. Robot Operators, copilots, shift leads, technicians, and props staff work on-site in San Francisco to collect the data our models are trained on, and we're growing these teams quickly. This role sits on the People team and partners directly with operations leadership to build and run the hiring engine behind that growth, starting with high-volume Robot Operator hiring.\n\nAbout the Role\nAs Pi's Operations Recruiter, you'll own the recruiting funnel from candidate generation through screening: creating enough qualified candidate flow, conducting initial screens, deciding who advances, and handing strong candidates to the operations team for work trials. Over time you'll also support hiring for adjacent site-based roles such as copilots, shift leads, technicians, and props staff.\n\nThis isn't a traditional corporate recruiting role. We're looking for someone who has recruited hourly workers at meaningful volume, can personally screen a large number of candidates efficiently, and knows how to build a repeatable local recruiting engine in San Francisco.\n\nIn This Role You Will\n\n - Build the Candidate Funnel: Generate a consistent pipeline of qualified candidates for Robot Operator and related operations roles — enough applicants to meet hiring plans and predictable weekly screen volume. Develop and manage channels including job boards, referrals, local partnerships, recruiting events, community organizations, and schools, and experiment with new acquisition channels as hiring demand shifts.\n\n - Own Candidate Screening: Conduct initial screens for Robot Operator and other high-volume operations candidates, evaluating for reliability, communication, attention to detail, availability, motivation, and fit for the work. Hold a clear, consistent bar for who advances to a work trial, aiming for strong screen-to-trial conversion, high trial attendance, and high pass rates among the candidates you advance.\n\n - Own Recruiting Throughput: Keep enough candidates at each stage of the funnel to hit weekly hiring targets, and maintain accurate visibility into expected candidate volume, upcoming trials, conversions, and starts.\n\n - Deliver a Great Candidate Experience: Communicate clearly and promptly with candidates about the job, hiring process, schedule, compensation, and expectations, so that offer-to-start conversion stays strong and the hiring experience reflects well on Pi even at high volume.\n\n - Build Recruiting Partnerships: Build relationships with organizations that can become durable sources of candidates. Work closely with operations leadership to understand hiring needs and candidate quality, gather feedback from work trials and managers, and use downstream performance to sharpen the recruiting profile and your screening decisions.\n\n - Improve the Hiring System: Build simple, repeatable processes for high-volume recruiting. Track funnel conversion and performance by source, identify where candidates drop out, learn which sources produce the employees who actually start and succeed, improve messaging, scheduling, screening, and follow-up, and automate administrative recruiting work where possible.\n\nWhat We Hope You'll Bring\n\n - Experience recruiting hourly or high-volume roles (e.g., operations, warehouse, retail, hospitality, manufacturing, or field roles) where you owned sourcing and screening end to end\n\n - A track record of personally screening a high volume of candidates each week while holding a consistent bar\n\n - Hands-on experience building local candidate pipelines through community organizations, schools, events, referrals, and partnerships — ideally in the San Francisco Bay Area\n\n - Comfort tracking funnel metrics and adjusting sourcing based on what the data says about conversion and downstream quality\n\n - Clear, warm, and timely communication with candidates from a wide range of backgrounds\n\n - Strong organization and follow-through in a fast-moving environment where hiring demand changes quickly\n\n - Ability to work on-site in San Francisco\n\nBonus Points\n\n - Experience recruiting for roles that use work trials, skills assessments, or on-the-job evaluations as part of the hiring process\n\n - Familiarity with Ashby or a similar ATS, and with automating scheduling and candidate communications\n\n - Experience at an early-stage startup or another environment where you built recruiting processes from scratch\n\n - Existing relationships with Bay Area workforce development organizations, community colleges, or trade programs\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"86237337-963a-4e0e-bcf7-82d366e5f0fc","title":"Software Engineer, Robot Interfaces ","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-09-24T16:42:57.437+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/86237337-963a-4e0e-bcf7-82d366e5f0fc","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/86237337-963a-4e0e-bcf7-82d366e5f0fc/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">As a Fullstack Software Engineer, you will build internal products that help Pi's research and operations teams move faster. You will work closely with operators, roboticists, researchers, and other engineers to turn physical workflows into reliable software.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">Fullstack builds the internal software the rest of Pi runs on. Our users span the path from research intent to physical execution: researchers designing experiments and requesting data, Research Ops working across task design, environments, prototyping, and instructions, and Production Ops running collection, evals, and deployments across our lab, warehouse, and real-world sites.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\"><strong>Own the human-robot interfaces:</strong> The software people use to run, monitor, and debug robots, from setup and calibration through live operation and review. Someone lives in this for an entire shift, and small friction compounds fast.</p></li><li><p style=\"min-height:1.5em\"><strong>Design for the whole shift, not just the episode:</strong> Time on a robot is a fraction of the day. The rest is preparation, troubleshooting, handoffs, and feedback, spread today across several tools and several people. The goal is not to expose every tool, but to build one surface that tells someone what deserves their attention now and notices when they're stuck.</p></li><li><p style=\"min-height:1.5em\"><strong>Design for safety:</strong> Make state unambiguous, make failure obvious, and make the safe action the easy one. Assume the network drops mid-episode or a camera dies, and design so the system degrades predictably rather than surprisingly.</p></li><li><p style=\"min-height:1.5em\"><strong>Own the realtime edge:</strong> Video, robot state, and control at latency budgets tight enough that teleoperation feels direct, plus the controllers, headsets, pedals, and sensors people drive with.</p></li><li><p style=\"min-height:1.5em\"><strong>Draw the line between device and cloud:</strong> Decide what has to stay local because it is safety-critical or latency-sensitive, and what belongs in a control plane that owns identity, state, and coordination across sites.</p></li><li><p style=\"min-height:1.5em\"><strong>Ship into the physical world:</strong> On-prem and on-device deployment, versioning and rollout across lab, warehouse, and partner sites, and enough observability to know what is running where.</p></li><li><p style=\"min-height:1.5em\"><strong>Make the work measurable:</strong> Instrument these interfaces well enough that we can see where the operation loses time, then test changes against it.</p></li><li><p style=\"min-height:1.5em\"><strong>Act as your own PM:</strong> Gather requirements, prioritize, define success metrics, ship, and drive adoption. That starts by standing in the room and watching a shift.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>What We Hope You'll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong fullstack engineering experience building production web applications and APIs, especially with React, TypeScript, and Python.</p></li><li><p style=\"min-height:1.5em\">Realtime web experience: WebRTC, WebSockets, streaming video, state synchronization, and the debugging that comes with all of it.</p></li><li><p style=\"min-height:1.5em\">Comfort with binary wire formats and schema-defined interfaces: protobuf, gRPC, or similar. Most of what these interfaces talk to is not a REST API.</p></li><li><p style=\"min-height:1.5em\">Experience shipping software that runs on machines you do not administer: on-prem or on-device deployment, degraded-network operation, versioning across a fleet.</p></li><li><p style=\"min-height:1.5em\">Strong UX instincts for high-stakes, high-frequency interfaces, where the user is standing up, under time pressure, and a mistake has physical consequences.</p></li><li><p style=\"min-height:1.5em\">Comfort designing workflows where people, hardware, and software have to function as one system.</p></li><li><p style=\"min-height:1.5em\">Strong product judgment, and experience working directly with users through ambiguous workflows and evolving requirements.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Former founder, early employee, or other demonstration of comfort with ambiguity and solving hard problems end to end.</p></li><li><p style=\"min-height:1.5em\">Experience with teleoperation, robotics, or other robot-adjacent software.</p></li><li><p style=\"min-height:1.5em\">Experience with safety-critical or industrial systems (control room, medical device, aviation, automotive, or similar) where interface decisions carry real consequences.</p></li><li><p style=\"min-height:1.5em\">Hardware-adjacent background: firmware, embedded, device integration, or having shipped software alongside a physical product.</p></li><li><p style=\"min-height:1.5em\">Experience with workflow, dispatch, or scheduling systems that direct human work in the physical world.</p></li><li><p style=\"min-height:1.5em\">Experience with our specific stack: React, TypeScript, Python, Postgres, GCP, and Kubernetes.</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nAs a Fullstack Software Engineer, you will build internal products that help Pi's research and operations teams move faster. You will work closely with operators, roboticists, researchers, and other engineers to turn physical workflows into reliable software.\n\n\n\nThe Team\n\nFullstack builds the internal software the rest of Pi runs on. Our users span the path from research intent to physical execution: researchers designing experiments and requesting data, Research Ops working across task design, environments, prototyping, and instructions, and Production Ops running collection, evals, and deployments across our lab, warehouse, and real-world sites.\n\n\n\nIn This Role You Will\n\n - Own the human-robot interfaces: The software people use to run, monitor, and debug robots, from setup and calibration through live operation and review. Someone lives in this for an entire shift, and small friction compounds fast.\n\n - Design for the whole shift, not just the episode: Time on a robot is a fraction of the day. The rest is preparation, troubleshooting, handoffs, and feedback, spread today across several tools and several people. The goal is not to expose every tool, but to build one surface that tells someone what deserves their attention now and notices when they're stuck.\n\n - Design for safety: Make state unambiguous, make failure obvious, and make the safe action the easy one. Assume the network drops mid-episode or a camera dies, and design so the system degrades predictably rather than surprisingly.\n\n - Own the realtime edge: Video, robot state, and control at latency budgets tight enough that teleoperation feels direct, plus the controllers, headsets, pedals, and sensors people drive with.\n\n - Draw the line between device and cloud: Decide what has to stay local because it is safety-critical or latency-sensitive, and what belongs in a control plane that owns identity, state, and coordination across sites.\n\n - Ship into the physical world: On-prem and on-device deployment, versioning and rollout across lab, warehouse, and partner sites, and enough observability to know what is running where.\n\n - Make the work measurable: Instrument these interfaces well enough that we can see where the operation loses time, then test changes against it.\n\n - Act as your own PM: Gather requirements, prioritize, define success metrics, ship, and drive adoption. That starts by standing in the room and watching a shift.\n\n\n\nWhat We Hope You'll Bring\n\n - Strong fullstack engineering experience building production web applications and APIs, especially with React, TypeScript, and Python.\n\n - Realtime web experience: WebRTC, WebSockets, streaming video, state synchronization, and the debugging that comes with all of it.\n\n - Comfort with binary wire formats and schema-defined interfaces: protobuf, gRPC, or similar. Most of what these interfaces talk to is not a REST API.\n\n - Experience shipping software that runs on machines you do not administer: on-prem or on-device deployment, degraded-network operation, versioning across a fleet.\n\n - Strong UX instincts for high-stakes, high-frequency interfaces, where the user is standing up, under time pressure, and a mistake has physical consequences.\n\n - Comfort designing workflows where people, hardware, and software have to function as one system.\n\n - Strong product judgment, and experience working directly with users through ambiguous workflows and evolving requirements.\n\n\n\nBonus Points\n\n - Former founder, early employee, or other demonstration of comfort with ambiguity and solving hard problems end to end.\n\n - Experience with teleoperation, robotics, or other robot-adjacent software.\n\n - Experience with safety-critical or industrial systems (control room, medical device, aviation, automotive, or similar) where interface decisions carry real consequences.\n\n - Hardware-adjacent background: firmware, embedded, device integration, or having shipped software alongside a physical product.\n\n - Experience with workflow, dispatch, or scheduling systems that direct human work in the physical world.\n\n - Experience with our specific stack: React, TypeScript, Python, Postgres, GCP, and Kubernetes.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"14586c10-d913-43c5-8f7c-c77b5c438e4c","title":"ML Engineer, Platform","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-09T21:19:22.210+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/14586c10-d913-43c5-8f7c-c77b5c438e4c","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/14586c10-d913-43c5-8f7c-c77b5c438e4c/application","descriptionHtml":"<h2>Who We Are</h2><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">We’ve made significant progress toward building models that can control many different robots across a wide range of tasks. Now, we’re building the platform that will make those models accessible to the broader world.</p><p style=\"min-height:1.5em\">As an API Product Engineer, you’ll build the product surface that allows other companies to use Pi’s models much like developers use an LLM API today: bring their own data, fine-tune models, evaluate them, and run low-latency inference in their own environments.</p><p style=\"min-height:1.5em\">You’ll own this experience end to end, turning capabilities that today require close collaboration with our team into a platform that can eventually support thousands—and ultimately millions—of robots.</p><h2>The Team</h2><p style=\"min-height:1.5em\">Software Engineering at Pi builds the systems that scale research breakthroughs into reliable products in the physical world.</p><p style=\"min-height:1.5em\">This role sits at the intersection of our AI, infrastructure, and external partners. You’ll work closely with researchers and engineers to turn rapidly evolving model capabilities into APIs and tools that external users, from hobbyists to large organizations, can actually build on.</p><p style=\"min-height:1.5em\">Today, onboarding a new partner to Pi can involve significant hands-on work. The goal is to make that increasingly unnecessary: partners should be able to bring us data, fine-tune a model, evaluate it, and run inference through a product that is intuitive, reliable, and built to scale.</p><h2>In This Role You Will</h2><p style=\"min-height:1.5em\">This is a software and systems role first. Robotics experience is not required, and we’re particularly excited about people who have built developer platforms, model APIs, or infrastructure products outside of robotics.</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Build Pi’s model API end to end, including data ingestion, fine-tuning, evaluation, low-latency remote inference, partner-facing tools, and deployment integrations.</p></li><li><p style=\"min-height:1.5em\">Design systems that can scale from a small number of deeply integrated partners to thousands of organizations and potentially millions of robots.</p></li><li><p style=\"min-height:1.5em\">Architect reliable, multi-tenant infrastructure around rate limiting, isolation, backpressure, versioning, observability, and SLOs.</p></li><li><p style=\"min-height:1.5em\">Turn partner data into a first-class product experience, from initial upload through validation, processing, fine-tuning, and evaluation.</p></li><li><p style=\"min-height:1.5em\">Build and operate low-latency inference systems that allow Pi models to control robots running in real-world environments.</p></li><li><p style=\"min-height:1.5em\">Work closely with researchers to turn new model capabilities into stable, usable product surfaces.</p></li><li><p style=\"min-height:1.5em\">Learn from how partners use the platform and turn recurring friction into better APIs, tooling, documentation, and abstractions.</p></li><li><p style=\"min-height:1.5em\">Write high-quality production code that integrates deeply with Pi’s existing infrastructure.</p></li><li><p style=\"min-height:1.5em\">Define what the developer platform for general-purpose robotics should look like. There is no established playbook for this yet.</p></li></ul><h2>What We Hope You'll Bring</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Strong software engineering fundamentals and experience building production systems.</p></li><li><p style=\"min-height:1.5em\">Deep backend and systems experience across APIs, services, databases, caching, distributed systems, and infrastructure.</p></li><li><p style=\"min-height:1.5em\">Experience building and scaling developer platforms. We’re especially interested in people who have shipped platforms for model fine-tuning, inference, or other compute-intensive workloads.</p></li><li><p style=\"min-height:1.5em\">An understanding of the problems that emerge as systems scale: reliability, latency, multi-tenancy, versioning, observability, and operational complexity.</p></li><li><p style=\"min-height:1.5em\">Enough familiarity with machine learning systems to deploy, serve, and debug models in production. You do not need to be an ML researcher.</p></li><li><p style=\"min-height:1.5em\">Strong Python skills and the ability to work comfortably across infrastructure and product boundaries.</p></li><li><p style=\"min-height:1.5em\">A high degree of ownership. You’re comfortable taking an ambiguous problem, building the first version end to end, and then designing the system so it no longer depends on you.</p></li></ul><h2>Bonus Points If You Have</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience building low-latency or real-time systems, including streaming, inference transport, WebSockets, QUIC, or similar technologies.</p></li><li><p style=\"min-height:1.5em\">Experience building model-serving, inference, fine-tuning, or developer-platform infrastructure.</p></li><li><p style=\"min-height:1.5em\">Experience at an early-stage infrastructure, AI, robotics, or autonomous systems company.</p></li><li><p style=\"min-height:1.5em\">Familiarity with our stack: Python, Postgres, ClickHouse, GCP, Kubernetes, Modal, React, and TypeScript.</p></li><li><p style=\"min-height:1.5em\">Experience with security, authentication, authorization, or multi-tenant infrastructure.</p></li></ul><h2>What This Role Is Not</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">This is not a Customer Success role. You won’t own ongoing partner support or change management inside customer organizations.</p></li><li><p style=\"min-height:1.5em\">This is not a Partner Roboticist or Applied Research role. You won’t be responsible for training policies for individual partners or debugging robots on site.</p></li><li><p style=\"min-height:1.5em\">This is not a traditional ML infrastructure role focused primarily on training systems, compilers, or accelerator scheduling. You’ll work closely with those systems, but your focus is the product and platform through which the outside world uses Pi’s models.</p></li></ul><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"WHO WE ARE\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nWe’ve made significant progress toward building models that can control many different robots across a wide range of tasks. Now, we’re building the platform that will make those models accessible to the broader world.\n\nAs an API Product Engineer, you’ll build the product surface that allows other companies to use Pi’s models much like developers use an LLM API today: bring their own data, fine-tune models, evaluate them, and run low-latency inference in their own environments.\n\nYou’ll own this experience end to end, turning capabilities that today require close collaboration with our team into a platform that can eventually support thousands—and ultimately millions—of robots.\n\n\nTHE TEAM\n\nSoftware Engineering at Pi builds the systems that scale research breakthroughs into reliable products in the physical world.\n\nThis role sits at the intersection of our AI, infrastructure, and external partners. You’ll work closely with researchers and engineers to turn rapidly evolving model capabilities into APIs and tools that external users, from hobbyists to large organizations, can actually build on.\n\nToday, onboarding a new partner to Pi can involve significant hands-on work. The goal is to make that increasingly unnecessary: partners should be able to bring us data, fine-tune a model, evaluate it, and run inference through a product that is intuitive, reliable, and built to scale.\n\n\nIN THIS ROLE YOU WILL\n\nThis is a software and systems role first. Robotics experience is not required, and we’re particularly excited about people who have built developer platforms, model APIs, or infrastructure products outside of robotics.\n\n - Build Pi’s model API end to end, including data ingestion, fine-tuning, evaluation, low-latency remote inference, partner-facing tools, and deployment integrations.\n\n - Design systems that can scale from a small number of deeply integrated partners to thousands of organizations and potentially millions of robots.\n\n - Architect reliable, multi-tenant infrastructure around rate limiting, isolation, backpressure, versioning, observability, and SLOs.\n\n - Turn partner data into a first-class product experience, from initial upload through validation, processing, fine-tuning, and evaluation.\n\n - Build and operate low-latency inference systems that allow Pi models to control robots running in real-world environments.\n\n - Work closely with researchers to turn new model capabilities into stable, usable product surfaces.\n\n - Learn from how partners use the platform and turn recurring friction into better APIs, tooling, documentation, and abstractions.\n\n - Write high-quality production code that integrates deeply with Pi’s existing infrastructure.\n\n - Define what the developer platform for general-purpose robotics should look like. There is no established playbook for this yet.\n\n\nWHAT WE HOPE YOU'LL BRING\n\n - Strong software engineering fundamentals and experience building production systems.\n\n - Deep backend and systems experience across APIs, services, databases, caching, distributed systems, and infrastructure.\n\n - Experience building and scaling developer platforms. We’re especially interested in people who have shipped platforms for model fine-tuning, inference, or other compute-intensive workloads.\n\n - An understanding of the problems that emerge as systems scale: reliability, latency, multi-tenancy, versioning, observability, and operational complexity.\n\n - Enough familiarity with machine learning systems to deploy, serve, and debug models in production. You do not need to be an ML researcher.\n\n - Strong Python skills and the ability to work comfortably across infrastructure and product boundaries.\n\n - A high degree of ownership. You’re comfortable taking an ambiguous problem, building the first version end to end, and then designing the system so it no longer depends on you.\n\n\nBONUS POINTS IF YOU HAVE\n\n - Experience building low-latency or real-time systems, including streaming, inference transport, WebSockets, QUIC, or similar technologies.\n\n - Experience building model-serving, inference, fine-tuning, or developer-platform infrastructure.\n\n - Experience at an early-stage infrastructure, AI, robotics, or autonomous systems company.\n\n - Familiarity with our stack: Python, Postgres, ClickHouse, GCP, Kubernetes, Modal, React, and TypeScript.\n\n - Experience with security, authentication, authorization, or multi-tenant infrastructure.\n\n\nWHAT THIS ROLE IS NOT\n\n - This is not a Customer Success role. You won’t own ongoing partner support or change management inside customer organizations.\n\n - This is not a Partner Roboticist or Applied Research role. You won’t be responsible for training policies for individual partners or debugging robots on site.\n\n - This is not a traditional ML infrastructure role focused primarily on training systems, compilers, or accelerator scheduling. You’ll work closely with those systems, but your focus is the product and platform through which the outside world uses Pi’s models.\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"37fccca5-0475-4b29-b656-8792d5324802","title":"Annotations Portfolio Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-04T22:40:48.223+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/37fccca5-0475-4b29-b656-8792d5324802","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/37fccca5-0475-4b29-b656-8792d5324802/application","descriptionHtml":"<h3>Who We Are</h3><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.<br /></p><h3>The Team</h3><p style=\"min-height:1.5em\">High-quality data is the fuel for our work. The Annotations team produces high-quality data labels to support model development.</p><p style=\"min-height:1.5em\">This role is a hands-on owner for a portfolio of annotation programs: partnering with researchers to understand what data they need and why, translating that into concrete requirements and rubrics, and running the operation that delivers the data. This person will also be expected to drive continuous improvement across multiple surfaces to mature the annotations function and balance strategic problem solving with tactical execution.</p><h3>In this role you will</h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own end-to-end performance for a portfolio of annotation programs, driving quality, speed, and efficiency</p></li><li><p style=\"min-height:1.5em\">Partner with researchers to define and refine requirements</p></li><li><p style=\"min-height:1.5em\">Drive step-function continuous improvement in our operations, identifying issues and building scalable solutions</p></li><li><p style=\"min-height:1.5em\">Foster clarity, collaboration, and alignment across both technical and nontechnical stakeholders, including vendor partners, researchers, operations</p></li></ul><h3>What we hope you'll bring</h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5+ years of experience in program management, operations, technical project management, consulting, startup operations, or similar roles</p></li><li><p style=\"min-height:1.5em\">Strong problem solving and systems thinking; ability to identify points of leverage in a constantly-evolving system and diagnose problems with incomplete information</p></li><li><p style=\"min-height:1.5em\">Intuition for data quality and research needs, grounded in understanding of model training and evaluation</p></li><li><p style=\"min-height:1.5em\">Stellar communication and ability to clarify nuance, structure complex information in digestible ways, and work with remote, ESL audiences</p></li><li><p style=\"min-height:1.5em\">Organizational skills to bring structure to chaos and balance needs across multiple programs</p></li></ul><h3>Bonus points</h3><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with data annotations for ML/AI, having seen versions of this problem before</p></li><li><p style=\"min-height:1.5em\">Experience with robotics, egocentric video, or other multimodal sensor data</p></li><li><p style=\"min-height:1.5em\">Experience with using coding agents to fill gaps in tooling / infra</p></li></ul>","descriptionPlain":"WHO WE ARE\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\n\n\nTHE TEAM\n\nHigh-quality data is the fuel for our work. The Annotations team produces high-quality data labels to support model development.\n\nThis role is a hands-on owner for a portfolio of annotation programs: partnering with researchers to understand what data they need and why, translating that into concrete requirements and rubrics, and running the operation that delivers the data. This person will also be expected to drive continuous improvement across multiple surfaces to mature the annotations function and balance strategic problem solving with tactical execution.\n\n\nIN THIS ROLE YOU WILL\n\n - Own end-to-end performance for a portfolio of annotation programs, driving quality, speed, and efficiency\n\n - Partner with researchers to define and refine requirements\n\n - Drive step-function continuous improvement in our operations, identifying issues and building scalable solutions\n\n - Foster clarity, collaboration, and alignment across both technical and nontechnical stakeholders, including vendor partners, researchers, operations\n\n\nWHAT WE HOPE YOU'LL BRING\n\n - 5+ years of experience in program management, operations, technical project management, consulting, startup operations, or similar roles\n\n - Strong problem solving and systems thinking; ability to identify points of leverage in a constantly-evolving system and diagnose problems with incomplete information\n\n - Intuition for data quality and research needs, grounded in understanding of model training and evaluation\n\n - Stellar communication and ability to clarify nuance, structure complex information in digestible ways, and work with remote, ESL audiences\n\n - Organizational skills to bring structure to chaos and balance needs across multiple programs\n\n\nBONUS POINTS\n\n - Experience with data annotations for ML/AI, having seen versions of this problem before\n\n - Experience with robotics, egocentric video, or other multimodal sensor data\n\n - Experience with using coding agents to fill gaps in tooling / infra","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"b8bc4a93-08c7-46ca-98b0-020a8ebb9594","title":"Recruiter, Hardware ","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-14T01:04:53.510+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/b8bc4a93-08c7-46ca-98b0-020a8ebb9594","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/b8bc4a93-08c7-46ca-98b0-020a8ebb9594/application","descriptionHtml":"<p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><p style=\"min-height:1.5em\">As a full stack Recruiter, you will help build the team that builds the robots - owning high-impact searches across research and engineering.</p><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">The People team at Pi exists to recruit the world’s best talent and provide them the tools and context to do their life’s best work, removing all barriers, physical or digital, save the immense complexity of the problem at hand.</p><p style=\"min-height:1.5em\">The Recruiting team partners directly with founders and technical leaders to design roles, define talent strategy, and close exceptional candidates. We operate with a high bar, high transparency, and strong market awareness.</p><p style=\"min-height:1.5em\"><strong>About the Role </strong></p><p style=\"min-height:1.5em\">We design and build our own robots. The engineers who design them, the team that builds them at our factory in Fremont, and the fleet that keeps them running are some of the hardest people in the world to hire, and we need a lot more of them.</p><p style=\"min-height:1.5em\">As our Hardware Recruiter, you’ll build the team that builds the robots. You’ll partner directly with Adnan Esmail, our co-founder who leads hardware, and with the engineering, factory and fleet leads on his team. You’ll own hiring across mechanical, electrical, firmware and controls engineering, manufacturing, NPI, test, supply chain, and the technicians who build and maintain our robots. You’ll report to Blake Williams. The role is in person in San Francisco, with regular time at our Fremont factory.</p><p style=\"min-height:1.5em\"><strong>In This Role You Will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Be an owner: hardware recruiting at Pi is yours to build. Build it like you want it. Own every search end to end, from mapping who has actually shipped robots, vehicles, drones and devices at volume to closing them yourself.</p></li><li><p style=\"min-height:1.5em\">Be a hunter: know the hardware market cold. Know where the best engineers, manufacturing and supply chain people sit, what their titles actually mean (some of the best manufacturing minds at Apple are called TPMs), and who they’d take a call from. Run two motions at once: hand-pick the few dozen people who could own a subsystem, and build a funnel that hires technicians and factory talent every week.</p></li><li><p style=\"min-height:1.5em\">Play the long game: great hardware people rarely leave in the middle of a build. Know their product cycles, stay close for years if you have to, and be there when the window opens.</p></li><li><p style=\"min-height:1.5em\">Design interview processes: build loops with our hiring managers that test real work, like prototyping exercises and hands-on trials, and keep interviewers calibrated. Be creative. There is no one-size-fits-all and the “set it and forget it” interview competency architecture is a thing of the past. Moving fast never means skipping the steps that protect the bar.</p></li><li><p style=\"min-height:1.5em\">Have an opinion: you are the expert. What does it take to move a senior engineer off Tesla or Apple RSUs? When does a sign-on matter? What are we not thinking of? “We hire the top 1%” and “we pay for talent” are where the conversation starts. Bring the numbers.</p></li><li><p style=\"min-height:1.5em\">Be a partner, be a peer: recruiting at Pi is not a service org. Our hardware leaders are hands-on and stretched, so make their hiring time count, push back on scope and urgency, and keep searches moving while they’re on the floor. You will be in the room either way, with a seat at the table, so you might as well speak up.</p></li><li><p style=\"min-height:1.5em\">Be a builder: design bespoke closing strategies. Get candidates to Fremont, because nothing closes a hardware engineer like watching robots get built. Build in the open too: we’re a small recruiting team that shares pipelines, tools and referrals, and your playbook should make the rest of us better.</p></li><li><p style=\"min-height:1.5em\">Be a steward, be an ambassador: treat every candidate with care and respect. How someone feels after a rejection reflects on us. Take that seriously.</p></li></ul><p style=\"min-height:1.5em\"><strong>What We Hope You'll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">6+ years of full-cycle recruiting, with a big share of it hiring hardware (mechanical, electrical, firmware, manufacturing, test, supply chain or technician roles) at companies that ship physical products.</p></li><li><p style=\"min-height:1.5em\">A network you can use on day one. You can name the first ten people you’d call for our open roles, and they’ll pick up.</p></li><li><p style=\"min-height:1.5em\">Real hardware fluency. You know a design engineer from a manufacturing engineer, what EVT/DVT/PVT means for someone’s willingness to leave, and how a great PCBA supply manager differs from a buyer. You walk out of an intake with a sharper role than you walked in with.</p></li><li><p style=\"min-height:1.5em\">Range across both sides of hardware: design engineering, and the factory and fleet. Most recruiters spike on one. Tell us which, and show us you can carry the other.</p></li><li><p style=\"min-height:1.5em\">A high bar you can explain. Everyone says they have one. Show us yours: the hires you’re proudest of, and why they were hard.</p></li><li><p style=\"min-height:1.5em\">Resilience. If you think you’ve “seen this market before,” you haven’t. None of us have.</p></li><li><p style=\"min-height:1.5em\">Urgency. The best hardware people are rarely on the market, and the window between builds is short. We don’t wait. We act. “Make it happen” is how we are wired.</p></li><li><p style=\"min-height:1.5em\">Analytical rigor. This isn’t all feel; it’s a mix of art and science. We work deep in the data, from conversion by source to trial pass rates to why offers are won or lost. We work with scientists; we evidence our actions.</p></li><li><p style=\"min-height:1.5em\">Genuine curiosity about robots. You want to be at the factory, close to the work you’re hiring for.</p></li></ul><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Built a hardware recruiting function from scratch, or scaled one through a production ramp.</p></li><li><p style=\"min-height:1.5em\">Hired technicians or factory teams at volume, including hands-on trials.</p></li><li><p style=\"min-height:1.5em\">Run senior hardware leadership searches (Director and above).</p></li><li><p style=\"min-height:1.5em\">Recruited at robotics, AV, drone, aerospace or consumer electronics companies.</p></li><li><p style=\"min-height:1.5em\">Familiarity with AI-powered recruiting tools and automation workflows. We build our own.</p></li></ul>","descriptionPlain":"Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\nAs a full stack Recruiter, you will help build the team that builds the robots - owning high-impact searches across research and engineering.\n\nThe Team\n\nThe People team at Pi exists to recruit the world’s best talent and provide them the tools and context to do their life’s best work, removing all barriers, physical or digital, save the immense complexity of the problem at hand.\n\nThe Recruiting team partners directly with founders and technical leaders to design roles, define talent strategy, and close exceptional candidates. We operate with a high bar, high transparency, and strong market awareness.\n\nAbout the Role \n\nWe design and build our own robots. The engineers who design them, the team that builds them at our factory in Fremont, and the fleet that keeps them running are some of the hardest people in the world to hire, and we need a lot more of them.\n\nAs our Hardware Recruiter, you’ll build the team that builds the robots. You’ll partner directly with Adnan Esmail, our co-founder who leads hardware, and with the engineering, factory and fleet leads on his team. You’ll own hiring across mechanical, electrical, firmware and controls engineering, manufacturing, NPI, test, supply chain, and the technicians who build and maintain our robots. You’ll report to Blake Williams. The role is in person in San Francisco, with regular time at our Fremont factory.\n\nIn This Role You Will\n\n - Be an owner: hardware recruiting at Pi is yours to build. Build it like you want it. Own every search end to end, from mapping who has actually shipped robots, vehicles, drones and devices at volume to closing them yourself.\n\n - Be a hunter: know the hardware market cold. Know where the best engineers, manufacturing and supply chain people sit, what their titles actually mean (some of the best manufacturing minds at Apple are called TPMs), and who they’d take a call from. Run two motions at once: hand-pick the few dozen people who could own a subsystem, and build a funnel that hires technicians and factory talent every week.\n\n - Play the long game: great hardware people rarely leave in the middle of a build. Know their product cycles, stay close for years if you have to, and be there when the window opens.\n\n - Design interview processes: build loops with our hiring managers that test real work, like prototyping exercises and hands-on trials, and keep interviewers calibrated. Be creative. There is no one-size-fits-all and the “set it and forget it” interview competency architecture is a thing of the past. Moving fast never means skipping the steps that protect the bar.\n\n - Have an opinion: you are the expert. What does it take to move a senior engineer off Tesla or Apple RSUs? When does a sign-on matter? What are we not thinking of? “We hire the top 1%” and “we pay for talent” are where the conversation starts. Bring the numbers.\n\n - Be a partner, be a peer: recruiting at Pi is not a service org. Our hardware leaders are hands-on and stretched, so make their hiring time count, push back on scope and urgency, and keep searches moving while they’re on the floor. You will be in the room either way, with a seat at the table, so you might as well speak up.\n\n - Be a builder: design bespoke closing strategies. Get candidates to Fremont, because nothing closes a hardware engineer like watching robots get built. Build in the open too: we’re a small recruiting team that shares pipelines, tools and referrals, and your playbook should make the rest of us better.\n\n - Be a steward, be an ambassador: treat every candidate with care and respect. How someone feels after a rejection reflects on us. Take that seriously.\n\nWhat We Hope You'll Bring\n\n - 6+ years of full-cycle recruiting, with a big share of it hiring hardware (mechanical, electrical, firmware, manufacturing, test, supply chain or technician roles) at companies that ship physical products.\n\n - A network you can use on day one. You can name the first ten people you’d call for our open roles, and they’ll pick up.\n\n - Real hardware fluency. You know a design engineer from a manufacturing engineer, what EVT/DVT/PVT means for someone’s willingness to leave, and how a great PCBA supply manager differs from a buyer. You walk out of an intake with a sharper role than you walked in with.\n\n - Range across both sides of hardware: design engineering, and the factory and fleet. Most recruiters spike on one. Tell us which, and show us you can carry the other.\n\n - A high bar you can explain. Everyone says they have one. Show us yours: the hires you’re proudest of, and why they were hard.\n\n - Resilience. If you think you’ve “seen this market before,” you haven’t. None of us have.\n\n - Urgency. The best hardware people are rarely on the market, and the window between builds is short. We don’t wait. We act. “Make it happen” is how we are wired.\n\n - Analytical rigor. This isn’t all feel; it’s a mix of art and science. We work deep in the data, from conversion by source to trial pass rates to why offers are won or lost. We work with scientists; we evidence our actions.\n\n - Genuine curiosity about robots. You want to be at the factory, close to the work you’re hiring for.\n\nBonus Points\n\n - Built a hardware recruiting function from scratch, or scaled one through a production ramp.\n\n - Hired technicians or factory teams at volume, including hands-on trials.\n\n - Run senior hardware leadership searches (Director and above).\n\n - Recruited at robotics, AV, drone, aerospace or consumer electronics companies.\n\n - Familiarity with AI-powered recruiting tools and automation workflows. We build our own.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"f2062b48-9939-478f-a605-6a2d16a4688a","title":"General Manager, Research Operations","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-15T00:31:37.592+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/f2062b48-9939-478f-a605-6a2d16a4688a","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/f2062b48-9939-478f-a605-6a2d16a4688a/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>General Manager, Research Operations</strong></p><p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><div style=\"min-height:1.2em;margin-top:0px;margin-bottom:0px\"> </div><p style=\"min-height:1.5em\">High-quality data is the fuel for that mission. Our operations teams bring together people, robots, environments, and processes to produce the data our models need.</p><div style=\"min-height:1.2em;margin-top:0px;margin-bottom:0px\"> </div><p style=\"min-height:1.5em\"><strong>The Team</strong></p><p style=\"min-height:1.5em\">Research Operations supports the hands-on work behind our research, from collecting and evaluating data to testing and deploying our own tools and systems. The work changes quickly as our research evolves, so the team needs to be both highly organized and adaptable. The Research Operations GM leads the people and managers doing this work. They ensure teams are staffed effectively, build strong managers, and create an organization where people can perform at a high level and grow.</p><div style=\"min-height:1.2em;margin-top:0px;margin-bottom:0px\"> </div><p style=\"min-height:1.5em\"><strong>In this role you will</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Lead and develop a large operations team and its managers.</p></li><li><p style=\"min-height:1.5em\">Own staffing, performance, retention, and day-to-day operations.</p></li><li><p style=\"min-height:1.5em\">Make sure people and resources are focused on the highest-priority work.</p></li><li><p style=\"min-height:1.5em\">Build training and development programs that improve performance and prepare people for more complex research and deployment work.</p></li><li><p style=\"min-height:1.5em\">Use data to identify problems and improve quality, productivity, and how the team operates.</p></li><li><p style=\"min-height:1.5em\">Work closely with researchers and engineers to adapt the operation as their needs change.</p></li></ul><div style=\"min-height:1.2em;margin-top:0px;margin-bottom:0px\"> </div><p style=\"min-height:1.5em\"><strong>What We Hope You'll Bring</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">7+ years leading large, high-output operations teams, ideally involving physical or hands-on work.</p></li><li><p style=\"min-height:1.5em\">Experience managing and developing managers and team leads.</p></li><li><p style=\"min-height:1.5em\">A track record of improving quality, productivity, and retention at scale.</p></li><li><p style=\"min-height:1.5em\">Strong judgment around staffing, prioritization, and performance.</p></li><li><p style=\"min-height:1.5em\">Experience building teams where strong people stay and grow.</p></li><li><p style=\"min-height:1.5em\">Comfort working in a fast-changing, technical environment.</p></li></ul><div style=\"min-height:1.2em;margin-top:0px;margin-bottom:0px\"> </div><p style=\"min-height:1.5em\"><strong>Bonus Points</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience in robotics, hardware, manufacturing, logistics, or other complex physical operations.</p></li><li><p style=\"min-height:1.5em\">Experience supporting research or engineering teams.</p></li><li><p style=\"min-height:1.5em\">Experience building training and career development programs.</p></li><li><p style=\"min-height:1.5em\">Experience with data collection, eval, or deployment operations.</p></li></ul><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"General Manager, Research Operations\n\nWho We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\n \n\nHigh-quality data is the fuel for that mission. Our operations teams bring together people, robots, environments, and processes to produce the data our models need.\n\n \n\nThe Team\n\nResearch Operations supports the hands-on work behind our research, from collecting and evaluating data to testing and deploying our own tools and systems. The work changes quickly as our research evolves, so the team needs to be both highly organized and adaptable. The Research Operations GM leads the people and managers doing this work. They ensure teams are staffed effectively, build strong managers, and create an organization where people can perform at a high level and grow.\n\n \n\nIn this role you will\n\n - Lead and develop a large operations team and its managers.\n\n - Own staffing, performance, retention, and day-to-day operations.\n\n - Make sure people and resources are focused on the highest-priority work.\n\n - Build training and development programs that improve performance and prepare people for more complex research and deployment work.\n\n - Use data to identify problems and improve quality, productivity, and how the team operates.\n\n - Work closely with researchers and engineers to adapt the operation as their needs change.\n\n \n\nWhat We Hope You'll Bring\n\n - 7+ years leading large, high-output operations teams, ideally involving physical or hands-on work.\n\n - Experience managing and developing managers and team leads.\n\n - A track record of improving quality, productivity, and retention at scale.\n\n - Strong judgment around staffing, prioritization, and performance.\n\n - Experience building teams where strong people stay and grow.\n\n - Comfort working in a fast-changing, technical environment.\n\n \n\nBonus Points\n\n - Experience in robotics, hardware, manufacturing, logistics, or other complex physical operations.\n\n - Experience supporting research or engineering teams.\n\n - Experience building training and career development programs.\n\n - Experience with data collection, eval, or deployment operations.\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"c6dd5186-089c-4b70-bb88-f08d96541b0c","title":"Learning & Development Lead, Operations","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-15T00:41:33.457+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/c6dd5186-089c-4b70-bb88-f08d96541b0c","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/c6dd5186-089c-4b70-bb88-f08d96541b0c/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Learning &amp; Development Lead, Operations</strong></p><p style=\"min-height:1.5em\"><strong>Role Overview</strong></p><p style=\"min-height:1.5em\">The Learning &amp; Development Lead owns training and readiness for Physical Intelligence's robot operator workforce.</p><p style=\"min-height:1.5em\">This person is responsible for designing and running the systems that take a new operator from candidate work trial through their first 30–60 days, with the goal of getting people productive quickly while maintaining a high quality bar.</p><p style=\"min-height:1.5em\">They also own ongoing training as the work changes. When researchers introduce new robot workflows, tasks, tools, or operating procedures, the Learning &amp; Development Lead translates those changes into training that can be rolled out quickly and consistently across the operation.</p><p style=\"min-height:1.5em\">This is a highly operational training role. We are looking for someone who has built or owned training programs for hourly or frontline employees and knows how to turn complex work into a simple, repeatable learning process.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><strong>Responsibilities</strong></p><p style=\"min-height:1.5em\"><strong>Operator Trials &amp; Readiness</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own the operator work-trial program and ensure candidates are evaluated consistently.</p></li><li><p style=\"min-height:1.5em\">Maintain clear trial standards, evaluator guidance, and scoring criteria.</p></li><li><p style=\"min-height:1.5em\">Partner with recruiting and operations to continuously improve what the trial predicts about future operator success.</p></li></ul><p style=\"min-height:1.5em\"><strong>New-Hire Onboarding</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Build and run onboarding from day one through the first 30–60 days.</p></li><li><p style=\"min-height:1.5em\">Define what an operator should know and be able to do at each stage of ramp.</p></li><li><p style=\"min-height:1.5em\">Create training plans, checklists, certification steps, and readiness milestones.</p></li><li><p style=\"min-height:1.5em\">Identify struggling operators early and create clear paths for remediation.</p></li><li><p style=\"min-height:1.5em\">Continuously improve time-to-productivity for new hires.</p></li></ul><p style=\"min-height:1.5em\"><strong>New Workflow Training</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Partner with researchers and operations teams when new robot tasks, systems, or processes are introduced.</p></li><li><p style=\"min-height:1.5em\">Learn new workflows quickly and translate them into clear training materials and operating instructions.</p></li><li><p style=\"min-height:1.5em\">Design the rollout plan needed to train a large operator population quickly.</p></li><li><p style=\"min-height:1.5em\">Track who has been trained and verify that the training actually resulted in correct execution.</p></li><li><p style=\"min-height:1.5em\">Maintain consistency as training expands across shifts, teams, and locations.</p></li></ul><p style=\"min-height:1.5em\"><strong>Training Operations</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Maintain a clear training calendar and ensure training happens when required.</p></li><li><p style=\"min-height:1.5em\">Coordinate trainers, operators, shift leads, and researchers.</p></li><li><p style=\"min-height:1.5em\">Keep training materials current as workflows change.</p></li><li><p style=\"min-height:1.5em\">Build repeatable processes so training does not depend on tribal knowledge.</p></li><li><p style=\"min-height:1.5em\">Track training completion, readiness, and performance metrics.</p></li></ul><p style=\"min-height:1.5em\"><strong>Continuous Improvement</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Use operator performance data and feedback to identify gaps in training.</p></li><li><p style=\"min-height:1.5em\">Work with operations leaders to understand recurring quality or productivity issues.</p></li><li><p style=\"min-height:1.5em\">Determine whether problems are caused by training, instructions, process, tooling, or something else.</p></li><li><p style=\"min-height:1.5em\">Continuously simplify and improve how operators learn.</p></li></ul><p style=\"min-height:1.5em\"><strong>What We're Looking For</strong></p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience owning training, onboarding, or workforce development programs for hourly or frontline employees.</p></li><li><p style=\"min-height:1.5em\">Demonstrated ability to get new employees productive quickly.</p></li><li><p style=\"min-height:1.5em\">Experience building structured ramp programs with clear milestones and standards.</p></li><li><p style=\"min-height:1.5em\">Strong operational organization and follow-through.</p></li><li><p style=\"min-height:1.5em\">Able to turn ambiguous or technical workflows into simple, teachable processes.</p></li><li><p style=\"min-height:1.5em\">Comfortable managing trainers, who are responsible for training large groups of people on new procedures under tight timelines.</p></li><li><p style=\"min-height:1.5em\">Strong written and verbal communication.</p></li><li><p style=\"min-height:1.5em\">Able to work effectively with both highly technical stakeholders, trainers, and frontline operators.</p></li><li><p style=\"min-height:1.5em\">Comfortable in an environment where processes and requirements change frequently.</p></li><li><p style=\"min-height:1.5em\">Uses data and observation to improve training rather than relying only on subjective feedback.</p></li></ul><p style=\"min-height:1.5em\">Experience in robotics is not required.</p><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\"><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>","descriptionPlain":"Learning & Development Lead, Operations\n\nRole Overview\n\nThe Learning & Development Lead owns training and readiness for Physical Intelligence's robot operator workforce.\n\nThis person is responsible for designing and running the systems that take a new operator from candidate work trial through their first 30–60 days, with the goal of getting people productive quickly while maintaining a high quality bar.\n\nThey also own ongoing training as the work changes. When researchers introduce new robot workflows, tasks, tools, or operating procedures, the Learning & Development Lead translates those changes into training that can be rolled out quickly and consistently across the operation.\n\nThis is a highly operational training role. We are looking for someone who has built or owned training programs for hourly or frontline employees and knows how to turn complex work into a simple, repeatable learning process.\n\n\n\nResponsibilities\n\nOperator Trials & Readiness\n\n - Own the operator work-trial program and ensure candidates are evaluated consistently.\n\n - Maintain clear trial standards, evaluator guidance, and scoring criteria.\n\n - Partner with recruiting and operations to continuously improve what the trial predicts about future operator success.\n\nNew-Hire Onboarding\n\n - Build and run onboarding from day one through the first 30–60 days.\n\n - Define what an operator should know and be able to do at each stage of ramp.\n\n - Create training plans, checklists, certification steps, and readiness milestones.\n\n - Identify struggling operators early and create clear paths for remediation.\n\n - Continuously improve time-to-productivity for new hires.\n\nNew Workflow Training\n\n - Partner with researchers and operations teams when new robot tasks, systems, or processes are introduced.\n\n - Learn new workflows quickly and translate them into clear training materials and operating instructions.\n\n - Design the rollout plan needed to train a large operator population quickly.\n\n - Track who has been trained and verify that the training actually resulted in correct execution.\n\n - Maintain consistency as training expands across shifts, teams, and locations.\n\nTraining Operations\n\n - Maintain a clear training calendar and ensure training happens when required.\n\n - Coordinate trainers, operators, shift leads, and researchers.\n\n - Keep training materials current as workflows change.\n\n - Build repeatable processes so training does not depend on tribal knowledge.\n\n - Track training completion, readiness, and performance metrics.\n\nContinuous Improvement\n\n - Use operator performance data and feedback to identify gaps in training.\n\n - Work with operations leaders to understand recurring quality or productivity issues.\n\n - Determine whether problems are caused by training, instructions, process, tooling, or something else.\n\n - Continuously simplify and improve how operators learn.\n\nWhat We're Looking For\n\n - Experience owning training, onboarding, or workforce development programs for hourly or frontline employees.\n\n - Demonstrated ability to get new employees productive quickly.\n\n - Experience building structured ramp programs with clear milestones and standards.\n\n - Strong operational organization and follow-through.\n\n - Able to turn ambiguous or technical workflows into simple, teachable processes.\n\n - Comfortable managing trainers, who are responsible for training large groups of people on new procedures under tight timelines.\n\n - Strong written and verbal communication.\n\n - Able to work effectively with both highly technical stakeholders, trainers, and frontline operators.\n\n - Comfortable in an environment where processes and requirements change frequently.\n\n - Uses data and observation to improve training rather than relying only on subjective feedback.\n\nExperience in robotics is not required.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"daa49953-755a-40dc-9959-7a2feff7f3bb","title":"Environment Specialist","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-19T18:53:12.149+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/daa49953-755a-40dc-9959-7a2feff7f3bb","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/daa49953-755a-40dc-9959-7a2feff7f3bb/application","descriptionHtml":"<h2>About the Role</h2><p style=\"min-height:1.5em\">Physical Intelligence builds AI for robots. Our operations teams keep hands-on work running on schedule for research and production. As a Set + Props Specialist, you keep workspaces organized and supplied on your shift so work runs without interruption.</p><h2>The Team</h2><p style=\"min-height:1.5em\">The Set + Props team supports research and production operations at Physical Intelligence. The team builds and maintains physical workspaces and keeps them supplied so work runs on schedule across every shift. It includes coordinators, shift specialists, and contractors who flex with demand.</p><h2>In This Role You Will</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Audits: Check workspaces and supplies against a checklist.</p></li><li><p style=\"min-height:1.5em\">Prep and staging: Prepare, organize, and stage supplies for upcoming work.</p></li><li><p style=\"min-height:1.5em\">Inventory: Log inventory accurately in our tools.</p></li><li><p style=\"min-height:1.5em\">Delivery: Deliver supplies to teams during the shift.</p></li><li><p style=\"min-height:1.5em\">Flagging issues: Flag anything missing or out of spec.</p></li></ul><h2>What We Hope You'll Bring</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">1+ year in retail merchandising, warehouse, stagehand, hospitality, kitchen, or facilities work</p></li><li><p style=\"min-height:1.5em\">Reliability and strong attention to detail</p></li><li><p style=\"min-height:1.5em\">Comfort with basic inventory or tracking tools</p></li><li><p style=\"min-height:1.5em\">Availability for a morning, swing, or overnight shift</p></li><li><p style=\"min-height:1.5em\">Ability to stand, lift up to 40 lbs, and move around all shift</p></li></ul><h2>Bonus Points</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience with film, TV, or theater props or sets</p></li><li><p style=\"min-height:1.5em\">Experience with kitting, pick and pack, or cycle counts</p></li></ul><h2></h2><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"ABOUT THE ROLE\n\nPhysical Intelligence builds AI for robots. Our operations teams keep hands-on work running on schedule for research and production. As a Set + Props Specialist, you keep workspaces organized and supplied on your shift so work runs without interruption.\n\n\nTHE TEAM\n\nThe Set + Props team supports research and production operations at Physical Intelligence. The team builds and maintains physical workspaces and keeps them supplied so work runs on schedule across every shift. It includes coordinators, shift specialists, and contractors who flex with demand.\n\n\nIN THIS ROLE YOU WILL\n\n - Audits: Check workspaces and supplies against a checklist.\n\n - Prep and staging: Prepare, organize, and stage supplies for upcoming work.\n\n - Inventory: Log inventory accurately in our tools.\n\n - Delivery: Deliver supplies to teams during the shift.\n\n - Flagging issues: Flag anything missing or out of spec.\n\n\nWHAT WE HOPE YOU'LL BRING\n\n - 1+ year in retail merchandising, warehouse, stagehand, hospitality, kitchen, or facilities work\n\n - Reliability and strong attention to detail\n\n - Comfort with basic inventory or tracking tools\n\n - Availability for a morning, swing, or overnight shift\n\n - Ability to stand, lift up to 40 lbs, and move around all shift\n\n\nBONUS POINTS\n\n - Experience with film, TV, or theater props or sets\n\n - Experience with kitting, pick and pack, or cycle counts\n\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"4160110b-2908-400b-a925-5e07b1cc362a","title":"Environment Manager","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-19T18:46:57.282+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/4160110b-2908-400b-a925-5e07b1cc362a","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/4160110b-2908-400b-a925-5e07b1cc362a/application","descriptionHtml":"<p style=\"min-height:1.5em\"><strong>Who We Are</strong></p><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><h2>The Team</h2><p style=\"min-height:1.5em\">The Environment team supports research and production operations at Physical Intelligence. The team builds and maintains physical work spaces and keeps them supplied so work runs on schedule across every shift. It includes coordinators, shift specialists, and contractors who flex with demand.</p><h2><strong>About the Role</strong></h2><p style=\"min-height:1.5em\">Physical Intelligence builds AI for robots. Our operations teams keep hands-on work running on schedule for research and production. As Set + Props Manager, you lead a full-time hourly team across multiple shifts, and you manage the contractors who flex with demand.</p><h2>In This Role You Will</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">People management: Hire, train, and manage an hourly team across multiple shifts. Give regular feedback and run performance conversations.</p></li><li><p style=\"min-height:1.5em\">Scheduling and compliance: Own schedules, time cards, breaks, and overtime for an hourly team in California.</p></li><li><p style=\"min-height:1.5em\">Capacity planning: Plan weekly staffing and capacity, and cover call-outs and PTO.</p></li><li><p style=\"min-height:1.5em\">Contractors and vendors: Run contractor trials and vendor relationships.</p></li><li><p style=\"min-height:1.5em\">Cross-team partnership: Work with research and production leads to resolve blockers and set priorities.</p></li></ul><h2>What We Hope You'll Bring</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">3+ years managing hourly frontline teams in warehouse, fulfillment, retail, production, events, or facilities</p></li><li><p style=\"min-height:1.5em\">Experience with California wage and hour rules: breaks, meal periods, and overtime</p></li><li><p style=\"min-height:1.5em\">Experience hiring and managing performance, including hard conversations</p></li><li><p style=\"min-height:1.5em\">Experience managing contractors or temp staff</p></li><li><p style=\"min-height:1.5em\">Comfort working on the floor and adjusting hours to reach every shift</p></li></ul><h2>Bonus Points</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience running a multi-shift or 24/7 operation</p></li><li><p style=\"min-height:1.5em\">Experience in film, TV, theater, or event production, or an R&amp;D or production environment where requirements change weekly</p></li><li><p style=\"min-height:1.5em\">Experience setting purchasing budgets and spending guidelines for a team</p></li></ul><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"Who We Are\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\n\nTHE TEAM\n\nThe Environment team supports research and production operations at Physical Intelligence. The team builds and maintains physical work spaces and keeps them supplied so work runs on schedule across every shift. It includes coordinators, shift specialists, and contractors who flex with demand.\n\n\nABOUT THE ROLE\n\nPhysical Intelligence builds AI for robots. Our operations teams keep hands-on work running on schedule for research and production. As Set + Props Manager, you lead a full-time hourly team across multiple shifts, and you manage the contractors who flex with demand.\n\n\nIN THIS ROLE YOU WILL\n\n - People management: Hire, train, and manage an hourly team across multiple shifts. Give regular feedback and run performance conversations.\n\n - Scheduling and compliance: Own schedules, time cards, breaks, and overtime for an hourly team in California.\n\n - Capacity planning: Plan weekly staffing and capacity, and cover call-outs and PTO.\n\n - Contractors and vendors: Run contractor trials and vendor relationships.\n\n - Cross-team partnership: Work with research and production leads to resolve blockers and set priorities.\n\n\nWHAT WE HOPE YOU'LL BRING\n\n - 3+ years managing hourly frontline teams in warehouse, fulfillment, retail, production, events, or facilities\n\n - Experience with California wage and hour rules: breaks, meal periods, and overtime\n\n - Experience hiring and managing performance, including hard conversations\n\n - Experience managing contractors or temp staff\n\n - Comfort working on the floor and adjusting hours to reach every shift\n\n\nBONUS POINTS\n\n - Experience running a multi-shift or 24/7 operation\n\n - Experience in film, TV, theater, or event production, or an R&D or production environment where requirements change weekly\n\n - Experience setting purchasing budgets and spending guidelines for a team\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"2907bb5a-c750-4f0a-93d7-db59bcaff76f","title":"Environment Coordinator","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-10-19T19:15:37.977+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/2907bb5a-c750-4f0a-93d7-db59bcaff76f","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/2907bb5a-c750-4f0a-93d7-db59bcaff76f/application","descriptionHtml":"<h2>About the Role</h2><p style=\"min-height:1.5em\">Physical Intelligence builds AI for robots. Our operations teams keep hands-on work running on schedule for research and production. As a Coordinator, you plan and buy for your area of work, direct the people doing it each day, and keep it moving when priorities change.</p><h2>The Team</h2><p style=\"min-height:1.5em\">The Set + Props team supports research and production operations at Physical Intelligence. The team builds and maintains physical workspaces and keeps them supplied so work runs on schedule across every shift. It includes coordinators, shift specialists, and contractors who flex with demand.</p><h2>In This Role You Will</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Planning: Turn incoming requirements into a weekly work plan.</p></li><li><p style=\"min-height:1.5em\">Purchasing: Source and buy supplies within a set budget.</p></li><li><p style=\"min-height:1.5em\">Prioritization: Decide quantities, timing, and priority when requests compete.</p></li><li><p style=\"min-height:1.5em\">Daily direction: Direct contractors and Specialists day to day, and work hands-on when the team needs it.</p></li><li><p style=\"min-height:1.5em\">Readiness: Check that work is complete and meets spec before handoff.</p></li></ul><h2>What We Hope You'll Bring</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">2+ years in purchasing, inventory, set building, production design, retail or event installs, kitchen, or warehouse operations</p></li><li><p style=\"min-height:1.5em\">Experience coordinating a team's daily work on tight timelines</p></li><li><p style=\"min-height:1.5em\">Strong judgment on quantities, timing, and priorities</p></li><li><p style=\"min-height:1.5em\">Attention to detail and comfort with tracking tools</p></li><li><p style=\"min-height:1.5em\">Ability to stand, lift up to 40 lbs, and move around all shift</p></li></ul><h2>Bonus Points</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience in film, TV, theater, or event set work</p></li><li><p style=\"min-height:1.5em\">Experience buying consumables on a daily cadence</p></li><li><p style=\"min-height:1.5em\">Familiarity with inventory systems</p></li></ul><p style=\"min-height:1.5em\"></p><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"ABOUT THE ROLE\n\nPhysical Intelligence builds AI for robots. Our operations teams keep hands-on work running on schedule for research and production. As a Coordinator, you plan and buy for your area of work, direct the people doing it each day, and keep it moving when priorities change.\n\n\nTHE TEAM\n\nThe Set + Props team supports research and production operations at Physical Intelligence. The team builds and maintains physical workspaces and keeps them supplied so work runs on schedule across every shift. It includes coordinators, shift specialists, and contractors who flex with demand.\n\n\nIN THIS ROLE YOU WILL\n\n - Planning: Turn incoming requirements into a weekly work plan.\n\n - Purchasing: Source and buy supplies within a set budget.\n\n - Prioritization: Decide quantities, timing, and priority when requests compete.\n\n - Daily direction: Direct contractors and Specialists day to day, and work hands-on when the team needs it.\n\n - Readiness: Check that work is complete and meets spec before handoff.\n\n\nWHAT WE HOPE YOU'LL BRING\n\n - 2+ years in purchasing, inventory, set building, production design, retail or event installs, kitchen, or warehouse operations\n\n - Experience coordinating a team's daily work on tight timelines\n\n - Strong judgment on quantities, timing, and priorities\n\n - Attention to detail and comfort with tracking tools\n\n - Ability to stand, lift up to 40 lbs, and move around all shift\n\n\nBONUS POINTS\n\n - Experience in film, TV, theater, or event set work\n\n - Experience buying consumables on a daily cadence\n\n - Familiarity with inventory systems\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}},{"id":"a7bfa681-3e71-42af-b72f-a9ec144434c6","title":"Deployment & Engagement Operations Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-11-03T18:20:41.381+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"808 Brannan St San Francisco CA","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/a7bfa681-3e71-42af-b72f-a9ec144434c6","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/a7bfa681-3e71-42af-b72f-a9ec144434c6/application","descriptionHtml":"<h2>Who We Are</h2><p style=\"min-height:1.5em\">Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.</p><h2>The Team</h2><p style=\"min-height:1.5em\">This role sits in Research Operations and works closely with partnerships, research, hardware, and infrastructure. Partnerships sets the terms of each engagement and research owns the technical goal. This role owns everything it takes to deliver operationally, from the point an agreement takes shape through completion.</p><p style=\"min-height:1.5em\">This role requires sound judgment, comfort with ambiguity, and a strong sense of ownership. You will start as a hands-on individual contributor, build the playbook for how PI runs external engagements, and grow the team that supports future partners and deployments.</p><h2>About the Role</h2><p style=\"min-height:1.5em\">As our work scales, more of it happens alongside external partners and at deployment sites. Each engagement brings its own site, schedule, stakeholders, and constraints. The Deployment &amp; Engagement Operations Lead makes sure these engagements are scoped, staffed, resourced, and delivered successfully, so research and engineering teams can stay focused on the technical work.</p><h2>In This Role You Will</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Own operational scope, resourcing, and execution for external engagements and deployments, from kickoff through completion.</p></li><li><p style=\"min-height:1.5em\">Translate partner commitments into execution plans that define milestones, owners, staffing, robot allocation, and site requirements.</p></li><li><p style=\"min-height:1.5em\">Lead complex, long-running engagements involving multiple teams, evolving requirements, and significant operational responsibility.</p></li><li><p style=\"min-height:1.5em\">Build trusted relationships with partner stakeholders and work through their requirements, approvals, schedules, and site constraints.</p></li><li><p style=\"min-height:1.5em\">Stand up new sites, bringing together operators, fleet support, equipment, logistics, and site access.</p></li><li><p style=\"min-height:1.5em\">Plan staffing and coverage across robots, shifts, and locations, and step in directly on site when needed.</p></li><li><p style=\"min-height:1.5em\">Drive readiness ahead of key milestones, including dry runs, bring-up checks, inventory, and fleet and infrastructure coverage.</p></li><li><p style=\"min-height:1.5em\">Prioritize and allocate robots, people, and support across concurrent engagements, and flag when a commitment needs to change.</p></li><li><p style=\"min-height:1.5em\">Keep partners, researchers, and leadership aligned on status, risks, escalations, and decisions.</p></li><li><p style=\"min-height:1.5em\">Build repeatable playbooks and processes, and grow the team that carries them forward as the work scales.</p></li></ul><h2>What We Hope You'll Bring</h2><p style=\"min-height:1.5em\">This role sits at the intersection of program management, field operations, and partner delivery. We're looking for someone who has owned operational outcomes on the ground, can lead several engagements at once, and can step into whichever one needs attention.</p><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">5+ years of experience in program management, field operations, technical project management, or similar roles.</p></li><li><p style=\"min-height:1.5em\">Track record of launching and running physical operations, such as opening new sites, markets, or facilities, leading hardware deployments, or running on-site programs for enterprise customers.</p></li><li><p style=\"min-height:1.5em\">Experience owning delivery of external partners or customer programs end to end.</p></li><li><p style=\"min-height:1.5em\">Experience staffing and leading teams across shifts and locations.</p></li><li><p style=\"min-height:1.5em\">Ability to quickly understand technical goals and work through tradeoffs with researchers, engineers, and external partners.</p></li><li><p style=\"min-height:1.5em\">Strong judgment under pressure, including knowing when to escalate and when to push back on commitments we cannot keep.</p></li><li><p style=\"min-height:1.5em\">Willingness to travel frequently and work extended stretches on site.</p></li></ul><h2>Bonus Points</h2><ul style=\"min-height:1.5em\"><li><p style=\"min-height:1.5em\">Experience supporting AI, robotics, autonomous vehicles, or hardware organizations.</p></li><li><p style=\"min-height:1.5em\">Experience working within large enterprise partner environments, including confidentiality, approvals, and site access requirements.</p></li><li><p style=\"min-height:1.5em\">Experience turning one-off launches into a repeatable operating motion.</p></li><li><p style=\"min-height:1.5em\">Experience building operational processes and scaling teams.</p></li><li><p style=\"min-height:1.5em\">Familiarity with robotics workflows and teleoperation environments.</p></li></ul><div style=\"min-height:1.2em;margin-top:0px;margin-bottom:0px\"> </div><p style=\"min-height:1.5em\">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p>","descriptionPlain":"WHO WE ARE\n\nPhysical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.\n\n\nTHE TEAM\n\nThis role sits in Research Operations and works closely with partnerships, research, hardware, and infrastructure. Partnerships sets the terms of each engagement and research owns the technical goal. This role owns everything it takes to deliver operationally, from the point an agreement takes shape through completion.\n\nThis role requires sound judgment, comfort with ambiguity, and a strong sense of ownership. You will start as a hands-on individual contributor, build the playbook for how PI runs external engagements, and grow the team that supports future partners and deployments.\n\n\nABOUT THE ROLE\n\nAs our work scales, more of it happens alongside external partners and at deployment sites. Each engagement brings its own site, schedule, stakeholders, and constraints. The Deployment & Engagement Operations Lead makes sure these engagements are scoped, staffed, resourced, and delivered successfully, so research and engineering teams can stay focused on the technical work.\n\n\nIN THIS ROLE YOU WILL\n\n - Own operational scope, resourcing, and execution for external engagements and deployments, from kickoff through completion.\n\n - Translate partner commitments into execution plans that define milestones, owners, staffing, robot allocation, and site requirements.\n\n - Lead complex, long-running engagements involving multiple teams, evolving requirements, and significant operational responsibility.\n\n - Build trusted relationships with partner stakeholders and work through their requirements, approvals, schedules, and site constraints.\n\n - Stand up new sites, bringing together operators, fleet support, equipment, logistics, and site access.\n\n - Plan staffing and coverage across robots, shifts, and locations, and step in directly on site when needed.\n\n - Drive readiness ahead of key milestones, including dry runs, bring-up checks, inventory, and fleet and infrastructure coverage.\n\n - Prioritize and allocate robots, people, and support across concurrent engagements, and flag when a commitment needs to change.\n\n - Keep partners, researchers, and leadership aligned on status, risks, escalations, and decisions.\n\n - Build repeatable playbooks and processes, and grow the team that carries them forward as the work scales.\n\n\nWHAT WE HOPE YOU'LL BRING\n\nThis role sits at the intersection of program management, field operations, and partner delivery. We're looking for someone who has owned operational outcomes on the ground, can lead several engagements at once, and can step into whichever one needs attention.\n\n - 5+ years of experience in program management, field operations, technical project management, or similar roles.\n\n - Track record of launching and running physical operations, such as opening new sites, markets, or facilities, leading hardware deployments, or running on-site programs for enterprise customers.\n\n - Experience owning delivery of external partners or customer programs end to end.\n\n - Experience staffing and leading teams across shifts and locations.\n\n - Ability to quickly understand technical goals and work through tradeoffs with researchers, engineers, and external partners.\n\n - Strong judgment under pressure, including knowing when to escalate and when to push back on commitments we cannot keep.\n\n - Willingness to travel frequently and work extended stretches on site.\n\n\nBONUS POINTS\n\n - Experience supporting AI, robotics, autonomous vehicles, or hardware organizations.\n\n - Experience working within large enterprise partner environments, including confidentiality, approvals, and site access requirements.\n\n - Experience turning one-off launches into a repeatable operating motion.\n\n - Experience building operational processes and scaling teams.\n\n - Familiarity with robotics workflows and teleoperation environments.\n\n \n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}}],"apiVersion":"1"}