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.
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.
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.
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.
Primary Responsibilities
- Teleoperate robotic arms through a variety of tasks using our intuitive control systems
- Either lead robot movements with your arms (the robot mirrors your actions) or guide robots using specialized controllers
- Complete diverse tasks ranging from household activities like folding laundry to complex assembly work
- Maintain high standards for data quality and consistency across all demonstrations
- Meet established metrics for data collection volume and quality during your shift
Important 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
Example Tasks You'll Train Robots On
- Picking up grocery items and placing them in shipping bags
- Sorting cups, plates, and utensils into bins
- Opening and closing jars of various sizes
- Folding different types of clothing and fabrics
- Installing light bulbs and other simple assembly tasks
- Multi-step electronics assembly processes
Additional Duties
- Review and annotate videos of robot task performances using computer interfaces
- Provide detailed feedback on robot performance and data quality
- Assist with equipment setup and basic office tasks as needed
- Participate in process improvements to enhance data collection efficiency
Physical Requirements
- Ability to stand at a workstation for 8-hour shifts
- Full use of both arms and hands for robot control
- Good hand-eye coordination and manual dexterity
- Attention to detail for quality control
Shift Options (8 hours with 30-minute lunch + two paid breaks):
- Morning: 8:00 AM - 4:00 PM PT
- Evening: 4:00 PM - 12:00 AM PT
- Overnight: 12:00 AM -8:00 AM PT
Shift patterns: Mon-Fri, Wed-Sun, Sat-Wed
Commitment: Minimum 5 days per week
Compensation: $25/hour + benefits package
Ideal Background
- Experience with hands-on technical work, lab environments, or precision tasks
- Interest in AI, robotics, and cutting-edge technology
- Strong attention to detail and quality focus
Key Qualities
- Meticulous attention to detail—data quality is crucial for AI training
- Good manual dexterity and hand-eye coordination
- Enjoys repetitive, precision-focused work
- Thrives in fast-paced, metrics-driven environments
- Excited about contributing to breakthrough AI research
- Collaborative mindset and strong work ethic
Nice to Have
- Experience with robotics systems or automation
- Background in manufacturing, assembly, or laboratory work
- Familiarity with AI/ML concepts
- Gaming or simulation experience with controllers
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.
Ready to help train the robots of tomorrow? We'd love to connect with you!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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\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- Morning: 8:00 AM - 4:00 PM PT\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\nCommitment: Minimum 5 days per week\n\nCompensation: $25/hour + benefits package\n\n\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."},{"id":"f6bee7a7-57ae-4ec1-9276-ae3bcbdc7327","title":"Robotics Software Engineer","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-01-06T03:37:16.832+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"Who We Are
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.
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.
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 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.
The Team
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.
In This Role You Will
-Own Real-Time Pipelines: Engineer low-latency, high-reliability sensor and actuator pipelines across Linux, drivers, and middleware.
-Optimize System Performance: Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput.
-Build OS-Level Capabilities: Extend or modify Linux components, drivers, and scheduling to achieve deterministic behavior under load.
-Streaming & Video Systems: Develop and optimize real-time video streaming systems where frame timing and packet scheduling matter.
-Reliability & Debugging: Build tooling for profiling, tracing, and debugging timing issues across distributed systems and hardware interfaces.
-Cross-Functional Collaboration: Work with researchers, hardware engineers, and operations teams to integrate optimized pipelines into production workflows.
What We Hope You’ll Bring
-Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software.
-Experience with Linux systems programming (syscalls, drivers, kernel parameters, scheduling, memory/IO subsystems).
-Background in real-time or near–real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems where latency budgets are strict.
-Ability to optimize across the entire stack - kernel scheduling, drivers, networking, GPU/CPU workloads, video frameworks, and distributed components.
-Experience with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and comfort diving into complex performance issues.
-A mindset oriented around determinism, throughput, frame budgets, jitter minimization, and real-time correctness.
-Ability to collaborate deeply with researchers and platform engineers to translate high-level model requirements into real-world system performance.
Bonus Points If You Have
-Experience with VR/AR platforms or low-latency 3D engines.
-Camera system expertise (synchronization, capture pipelines, codecs, GPU offload).
-Streaming/video conferencing stack experience (WebRTC, real-time transport optimizations).
-Background in robotics, autonomous systems, SLAM pipelines, or perception systems (implementation, not research).
-Expertise in kernel-level engineering, device drivers, or high-performance networking.
-Familiarity with distributed systems that process real-time data flows.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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."},{"id":"c2c1faae-acb6-4c8b-bd0d-e7e180ac8d94","title":"Business Operations","department":"Business","team":"Business","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-02-02T18:01:04.048+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"Who We Are
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.
As the company scales, success increasingly depends not just on research excellence, but on strong business execution - across partnerships, operations, infrastructure, and deployment.
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.
The Team
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.
In This Role You Will
- Own and execute cross-functional projects with high ambiguity and real business impact.
- Drive data, compute, and infrastructure partnerships, from sourcing through negotiation and management.
- Plug into deployment efforts: sourcing opportunities, structuring contracts, pricing, and operational setup.
- Assist with and drive internal scaling initiatives such as office expansion, international operations, and company planning.
- Support investor, board, and external communications including decks, analyses, and prep.
- Act as an execution arm for founders and leaders, translating priorities into outcomes.
What We Hope You’ll Bring
- Strong analytical and strategic instincts with a bias toward action.
- Comfort operating independently in ambiguous environments.
- Commercial mindset and basic financial fluency (contracts, pricing, tradeoffs).
- Exceptional written and verbal communication.
- Willingness to do anything, paired with strong prioritization instincts and comfort pushing back when work is low-leverage.
- Strong π-fit: respect for research and engineering culture, curiosity, and intellectual humility.
Bonus Points If You Have
- Background in consulting, venture capital, private equity, or finance.
- Experience negotiating vendor, data, or infrastructure agreements.
- Exposure to startups that have scaled quickly or inflected suddenly.
- International operations or cross-border project experience.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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."},{"id":"c8f9e9aa-8801-4916-9b1f-2c0bd5f072f9","title":"Controls Engineer","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-01-07T20:16:15.835+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"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.
The Team
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.
In This Role You Will
Design & implement control algorithms: PID, LQR, MPC, inverse dynamics, and feedforward controllers.
Build & validate models: Create and refine physical and inverse dynamics models for simulation and control design.
Develop real-time loops: Write and optimize runtime control loops, including neural-network-driven control.
Own robotic bring-up: Integrate and tune arms, mobile bases, teleop systems, and full-body platforms.
Debug complex system behaviors: Diagnose and resolve hardware/software/runtime issues using first-principles reasoning.
Build sensor/actuator subsystems: Work with embedded systems, drivers, and communication protocols (CAN, SPI, I2C, Ethernet).
Partner cross-functionally: Work with researchers, platform engineers, and operators to ensure stable, predictable real-world behavior.
Support R&D: Prototype configurations, collect structured datasets, and iterate directly with researchers.
What We Hope You’ll Bring
Deep understanding of model-based control algorithms and inverse dynamics
Ability to validate control approaches in simulation and translate them to real hardware
Proficiency in Python and C++, including firmware-adjacent development
Skill in writing and tuning real-time control loops
Hands-on capability to debug electromechanical systems end-to-end
Familiarity with embedded communication protocols (CAN, SPI, I2C, Ethernet)
Clear communication with researchers, hardware teams, and operators
A structured, collaborative approach to solving complex system issues
Bonus Points If You Have
Background in manipulation or mobile robotic platforms
Exposure to robot learning or integrating learned policies into control stacks
Ability to design or refine custom actuator or sensor hardware
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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."},{"id":"567d620f-7600-4e35-9edd-f41ed4db45ce","title":"Forward Deployed Robotics Engineer","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2025-11-17T21:36:46.127+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"As 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.
Key Responsibilities
- 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.
- Fast-Paced Operations: Handle quick turnaround expectations while maintaining diagnostic quality
- On-Site Diagnostics: Perform physical inspections and functional tests at robot stations to verify issue reproduction
- Data Analysis: Analyze telemetry, sensor data, and logs to form and test hypotheses about root causes
- Failure Analysis: Execute technically sound Failure Analysis / Root Cause Analysis procedures
- Cross-Team Collaboration: Partner with hardware and software teams to reproduce and resolve complex issues
- Pattern Recognition: Identify recurring issues across the fleet and surface reliability insights for design improvements
- Documentation: Maintain clear, traceable documentation for every diagnostic and escalation event
- Metrics & Reporting: Track and report issue trends and fleet health metrics to leadership
- Process Improvement: Collaborate with team lead to develop and maintain diagnostic procedures and troubleshooting guides
Required Competencies & Skills
- Education: B.S. in Robotics, Mechatronics, Systems Engineering, or equivalent experience
- Hardware Knowledge: Proficiency debugging electromechanical systems including actuators, PCBs, cameras, wiring harnesses, and communication hardware
- Software Knowledge: Experience with log parsing and basic scripting for diagnostics (Python or Bash)
- Systems Knowledge: Strong understanding of mechanical, electrical, and software interactions in robotic systems
- Communication: Excellent written and verbal communication, particularly in technical documentation and shift handoffs
- Hands-On Problem Solving Experience: Minimum 2 years work experience with debugging and completing root cause investigations of systems with hardware and software issues
Strongly Preferred:
Experience supporting multi-robot fleets, warehouse automation systems, or field robotics deployments
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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."},{"id":"f70f9481-ea7e-48e4-9212-f9c10952a028","title":"Build & Release Engineer","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-04-29T17:00:23.707+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"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.
This is a senior, hands-on infrastructure role focused on developer productivity, build reliability, and operational scale.
The Team
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.
In This Role You Will
- CI/CD Ownership: Design and operate GitHub-based CI/CD systems (GitHub Actions, checks, workflows) with a focus on reliability, speed, and signal quality.
- Build Systems: Own and evolve Bazel-based build and test infrastructure that supports C++, Python, Rust, and Typescript-based development.
- Infrastructure Engineering: Build and maintain Kubernetes-based services and cloud infrastructure using Terraform and infrastructure-as-code.
- Automation & Self-Service: Replace manual release, provisioning, and access workflows with automated, GitHub-integrated systems.
- Reliability & Throughput: Reduce flaky builds, failed deploys, and CI bottlenecks that slow engineering velocity.
- Cross-Team Enablement: Partner with engineers across the stack to make builds, tests, and deploys predictable and fast.
What We Hope You’ll Bring
- Strong experience operating GitHub-centric development workflows at scale.
- Deep familiarity with CI/CD systems and build reliability challenges.
- Experience with Bazel or similar large-scale build systems.
- Proficiency in cloud infrastructure, Kubernetes, and Terraform.
- Strong instincts for developer experience and operational leverage.
Bonus Points If You Have
- Experience improving CI throughput for hundreds of engineers.
- Expertise in Bazel optimization (remote caching, test sharding, incremental builds).
- Security- or InfoSec-adjacent infrastructure automation.
- Background in internal developer productivity or platform teams.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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."},{"id":"4e547c5a-e4ee-40a7-b14b-c4daf9c072eb","title":"ML Infra Engineer (TPU/Jax/Optimization)","department":"Machine Learning","team":"Machine Learning","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-01-23T20:49:10.281+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/4e547c5a-e4ee-40a7-b14b-c4daf9c072eb","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/4e547c5a-e4ee-40a7-b14b-c4daf9c072eb/application","descriptionHtml":"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.
This is a hands-on, high-leverage role at the intersection of ML, software engineering, and scalable infrastructure.
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.
- Own training/inference infrastructure: Design, implement, and maintain systems for large-scale model training, including scheduling, job management, checkpointing, and metrics/logging.
- Scale distributed training: Work with researchers to scale JAX-based training across TPU and GPU clusters with minimal friction.
- Optimize performance: Profile and improve memory usage, device utilization, throughput, and distributed synchronization.
- Enable rapid iteration: Build abstractions for launching, monitoring, debugging, and reproducing experiments.
- Manage compute resources: Ensure efficient allocation and utilization of cloud-based GPU/TPU compute while controlling cost.
- Partner with researchers: Translate research needs into infra capabilities and guide best practices for training at scale.
- Contribute to core training code: Evolve JAX model and training code to support new architectures, modalities, and evaluation metrics.
- Strong software engineering fundamentals and experience building ML training infrastructure or internal platforms.
- Hands-on large-scale training experience in JAX (preferred), PyTorch.
- Familiarity with distributed training, multi-host setups, data loaders, and evaluation pipelines.
- Experience managing training workloads on cloud platforms (e.g., SLURM, Kubernetes, GCP TPU/GKE, AWS).
- Ability to debug and optimize performance bottlenecks across the training stack.
- Strong cross-functional communication and ownership mindset.
- Deep ML systems background (e.g., training compilers, runtime optimization, custom kernels).
- Experience operating close to hardware (GPU/TPU performance tuning).
- Background in robotics, multimodal models, or large-scale foundation models.
- Experience designing abstractions that balance researcher flexibility with system reliability.
","descriptionPlain":"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.\n\nThis is a hands-on, high-leverage role at the intersection of ML, software engineering, and scalable infrastructure.\n\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\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- Manage compute resources: Ensure efficient allocation and utilization of cloud-based GPU/TPU compute while controlling cost.\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\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\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."},{"id":"52fb2d63-f18e-446e-8a15-cbcdc8740147","title":"Robot Build Technician","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"Fremont","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":"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.
You'll work directly with our Hardware Engineering team to bring robots from prototype to production, ensuring quality and reliability at every step.
What You'll Do:
- Build and assemble robotic systems according to engineering specifications, including mechanical, electrical, and electromechanical components
- Install, calibrate, and configure robots and end-of-arm tooling for various applications
- Execute test protocols and quality checks to ensure robots function as designed
- Maintain detailed service records and documentation for robotic equipment
- Support hardware bring-up, including wiring, harnessing, and integration of sensors and actuators
- Collaborate with mechanical, electrical, and software engineers to root-cause manufacturing issues and implement solutions
- Manage inventory of parts, tools, and consumables for the hardware lab
- Train team members on assembly procedures and best practices
Competencies and Skills:
- 2+ years of experience in mechanical or electromechanical assembly, robotics, or manufacturing environments
- Proficiency with hand tools, power tools, and lab equipment (soldering, crimping, torque wrenches)
- Experience with cable harnessing, wire routing, and electrical integration
- Ability to read and interpret mechanical drawings, schematics, and assembly instructions
- Familiarity with robotic systems, PLCs, or automated equipment is a plus
- Basic understanding of CAN bus, Ethernet, and communication protocols
- Strong troubleshooting skills and attention to detail
- Comfortable working in a fast-paced, iterative environment
- Experience with inventory management and documentation tools (Notion, Excel)
- Prior experience in robotics, automotive, aerospace, or consumer electronics is highly valued
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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."},{"id":"58e5a454-47db-41b2-9c5d-c8e34c55159e","title":"Mechanical Design Engineer","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2025-06-14T01:31:23.758+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"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!
- 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.
- Develop and refine manufacturing processes: Identify and optimize injection molding, die casting, stamping, machining, adhesives, and bonding methods for new and existing products.
- Ensure reliability and robustness: Perform and interpret reliability tests (HALT/HASS, tolerance stack-ups, environmental testing) and lead corrective design actions.
- 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.
- Lead system integration efforts: Collaborate with electrical and radio teams to balance thermal, EMI, mechanical stability, and accessibility needs in tightly integrated assemblies.
- Prototype and iterate quickly: Build proof-of-concept designs, run experiments, and translate findings into high-yield, mass-production-ready solutions.
- Manage vendor relationships: Evaluate DFM, cost, yield, and timeline trade-offs; work with JDM/CM/ODM partners; own and drive supplier selection where needed.
- Communicate effectively across teams: Conduct design reviews with cross-functional stakeholders, clearly articulating design rationale, risks, and trade-offs.
- 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
- Bachelor's Degree in Mechanical or Aerospace Engineering, or equivalent experience
- Deep understanding of high-volume manufacturing processes (injection molding, die casting, stamping, machining, bonding)
- Familiarity with HALT/HASS, FMEA, DOE methodologies, and test-to-failure approaches for robust mechanical design
- Practical understanding of when and how to apply FEA tools, with the ability to make first-order engineering judgments
- Proven record of mechanically integrating electronics (sensors, PCBs, antennas, batteries) in complex assemblies
- Ability to lead reviews, influence cross-functional teams, and convey risks and solutions clearly
- Comfort in early-stage, resource-limited startup environments with a willingness to move quickly and hands-on
- Proficiency in prototyping methods including machining (mill, lathe), sheet metal fabrication, 3D printing, and injection molding
- Experience building and testing prototypes and analyzing failures to implement improvements
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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."},{"id":"70ebf855-16df-4879-a6a7-ee0161174acc","title":"ML Infra Engineer","department":"Machine Learning","team":"Machine Learning","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2024-08-24T23:19:50.252+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/70ebf855-16df-4879-a6a7-ee0161174acc","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/70ebf855-16df-4879-a6a7-ee0161174acc/application","descriptionHtml":"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.
This is a hands-on, high-leverage role at the intersection of ML, software engineering, and scalable infrastructure.
The Team
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.
In This Role You Will
- Own training/inference infrastructure: Design, implement, and maintain systems for large-scale model training, including scheduling, job management, checkpointing, and metrics/logging.
- Scale distributed training: Work with researchers to scale JAX-based training across TPU and GPU clusters with minimal friction.
- Optimize performance: Profile and improve memory usage, device utilization, throughput, and distributed synchronization.
- Enable rapid iteration: Build abstractions for launching, monitoring, debugging, and reproducing experiments.
- Manage compute resources: Ensure efficient allocation and utilization of cloud-based GPU/TPU compute while controlling cost.
- Partner with researchers: Translate research needs into infra capabilities and guide best practices for training at scale.
- Contribute to core training code: Evolve JAX model and training code to support new architectures, modalities, and evaluation metrics.
What We Hope You’ll Bring
- Strong software engineering fundamentals and experience building ML training infrastructure or internal platforms.
- Hands-on large-scale training experience in JAX (preferred), PyTorch.
- Familiarity with distributed training, multi-host setups, data loaders, and evaluation pipelines.
- Experience managing training workloads on cloud platforms (e.g., SLURM, Kubernetes, GCP TPU/GKE, AWS).
- Ability to debug and optimize performance bottlenecks across the training stack.
- Strong cross-functional communication and ownership mindset.
Bonus Points If You Have
- Deep ML systems background (e.g., training compilers, runtime optimization, custom kernels).
- Experience operating close to hardware (GPU/TPU performance tuning).
- Background in robotics, multimodal models, or large-scale foundation models.
- Experience designing abstractions that balance researcher flexibility with system reliability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","descriptionPlain":"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.\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- Manage compute resources: Ensure efficient allocation and utilization of cloud-based GPU/TPU compute while controlling cost.\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\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records."},{"id":"f83ba447-2261-4832-95db-a2f88454e0ba","title":"Research Scientist","department":"AI & Robotics Research","team":"AI & Robotics Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2024-08-24T23:22:49.675+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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."},{"id":"41dfbfcd-a9d1-4969-b11b-821f3319cae2","title":"Robot Prototype Technician","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-04-07T19:08:24.907+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"Who We Are
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.
The Team
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.
In This Role You Will:
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.
Repair Robot Prototype Systems and Components:
Repair mechanical components such as actuators, motors, gearboxes, bearings, and moving parts that could fail or break in initial prototype designs.
Repair electrical systems including wiring, circuits, power supplies, sensors, and control systems that could fail or break in initial prototype designs.
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.
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
What We Hope You'll Bring
2+ years of prototyping technician experience
Assembly and disassembly skills on electromechanical systems - Proficiency with electrical systems/components (AC/DC motors, wiring, controllers) and mechanical systems/components (motors, gears, Bearings).
Soldering skills and harness/wiring skills
Proficiency in using CAD software to view design files (e.g., Solidworks, Onshape) and ability to interpret engineering drawings and wiring diagrams
Experience working with diagnostic tools, multimeters, oscilloscopes, and PLCs.
Strong problem-solving ability
Strong attention to detail
Excellent communication and teamwork abilities
Bonus Points
Proficiency with rapid prototyping tools and 3D printers
Experience with robotic systems
Associate degree in Electrical/Mechanical Engineering, Robotics, or a related technical field. A bachelor’s degree is a plus.
Relevant certifications in electrical or mechanical systems (e.g., ASE, NATE, etc.)
Who we are
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.
The team
This role is part of the hardware team, but will involve deep collaboration with the embedded firmware team and the robot software engineering (runtime) team.
In this role you will:
- Drive Hardware Architecture: Lead the electrical design of devices crucial to PI’s data collection, from component selection (SoCs, Sensors, PMICs) to final PCBA.
- Imaging System Design: Lead the hardware integration of high-resolution image sensors, ensuring clean power rails and high-speed data paths (MIPI) for optimal image quality.
- Wireless Hardware Integration: Design and optimize RF front-ends for wireless modules, focusing on antenna placement, signal range, and power consumption.
- Schematic & Layout: Take full ownership of schematics and supervise/execute PCB layouts for complex, space-constrained enclosures.
- Hardware Validation: Design and execute test plans to identify hardware bugs, signal integrity issues, and thermal bottlenecks.
- DFM/DFT: Work with manufacturing partners to ensure designs are optimized for high-yield assembly (Design for Manufacturing) and comprehensive on-line testing (Design for Test).
- Power Optimization: Analyze and optimize the hardware-level power consumption for battery-operated devices, and assist with thermal testing and validation of the devices.
What we hope you'll bring:
In addition to 3–7 years of experience in hardware design and board-level development for high-volume products, strong candidates must have:
- BS/MS in Electrical Engineering or a related technical field.
- PCB Design Expertise: Proficiency in EDA tools (e.g., Altium, Allegro) for complex, multi-layer, high-density interconnect designs, and experience with rigid flex circuits
- Camera System Experience: Hands-on experience with CMOS image sensors, MIPI CSI-2/3 interfaces, and the electrical requirements for high-bandwidth imaging data, including bring-up and image tuning
- High-Speed Design: Deep understanding of signal integrity, power integrity, and EMI/EMC mitigation for high-speed digital and RF circuits.
- Bring-up & Validation: Experience with lab equipment (oscilloscopes, spectrum analyzers, logic analyzers) to lead initial board bring-up, debugging, and hardware validation.
- Power Management: Experience designing efficient power delivery networks (PDN), including DC-DC converters, LDOs, and battery management systems (BMS) for mobile devices.
- Communication Protocols: Familiarity with CAN, Ethernet, SPI, I2C, UART, USB (2.0/3.0/Type-C), and PCIe, as well as wireless protocols including BLE and Wi-Fi (2.4GHz/5GHz), and the ability to evaluate and debug these systems.
- Cross-functional Collaboration: Ability to translate ambiguous product goals into hard functional requirements for firmware, mechanical, and research teams.
Bonus Points:
- Experience with RF/Antenna integration and FCC/CE certification processes
- History of working with JDMs and ODMs
- Knowledge of flex-circuit (FPC) design and rigid-flex integration
- Experience with robotic actuators or motor control circuitry
- Understanding of thermal design optimization and testing
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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\nThis role is part of the hardware team, but will involve deep collaboration with the embedded firmware team and the robot software engineering (runtime) team.\n\nIn this role you will:\n\n- Drive Hardware Architecture: Lead the electrical design of devices crucial to PI’s data collection, from component selection (SoCs, Sensors, PMICs) to final PCBA.\n\n- Imaging System Design: Lead the hardware integration of high-resolution image sensors, ensuring clean power rails and high-speed data paths (MIPI) for optimal image quality.\n\n- Wireless Hardware Integration: Design and optimize RF front-ends for wireless modules, focusing on antenna placement, signal range, and power consumption.\n\n- Schematic & Layout: Take full ownership of schematics and supervise/execute PCB layouts for complex, space-constrained enclosures.\n\n- Hardware Validation: Design and execute test plans to identify hardware bugs, signal integrity issues, and thermal bottlenecks.\n\n- DFM/DFT: Work with manufacturing partners to ensure designs are optimized for high-yield assembly (Design for Manufacturing) and comprehensive on-line testing (Design for Test).\n\n- Power Optimization: Analyze and optimize the hardware-level power consumption for battery-operated devices, and assist with thermal testing and validation of the devices.\n\nWhat we hope you'll bring:\n\nIn addition to 3–7 years of experience in hardware design and board-level development for high-volume products, strong candidates must have:\n\n- BS/MS in Electrical Engineering or a related technical field.\n\n- PCB Design Expertise: Proficiency in EDA tools (e.g., Altium, Allegro) for complex, multi-layer, high-density interconnect designs, and experience with rigid flex circuits\n\n- Camera System Experience: Hands-on experience with CMOS image sensors, MIPI CSI-2/3 interfaces, and the electrical requirements for high-bandwidth imaging data, including bring-up and image tuning\n\n- High-Speed Design: Deep understanding of signal integrity, power integrity, and EMI/EMC mitigation for high-speed digital and RF circuits.\n\n- Bring-up & Validation: Experience with lab equipment (oscilloscopes, spectrum analyzers, logic analyzers) to lead initial board bring-up, debugging, and hardware validation.\n\n- Power Management: Experience designing efficient power delivery networks (PDN), including DC-DC converters, LDOs, and battery management systems (BMS) for mobile devices.\n\n- Communication Protocols: Familiarity with CAN, Ethernet, SPI, I2C, UART, USB (2.0/3.0/Type-C), and PCIe, as well as wireless protocols including BLE and Wi-Fi (2.4GHz/5GHz), and the ability to evaluate and debug these systems.\n\n- Cross-functional Collaboration: Ability to translate ambiguous product goals into hard functional requirements for firmware, mechanical, and research teams.\n\nBonus Points:\n\n- Experience with RF/Antenna integration and FCC/CE certification processes\n\n- History of working with JDMs and ODMs\n\n- Knowledge of flex-circuit (FPC) design and rigid-flex integration\n\n- Experience with robotic actuators or motor control circuitry\n\n- Understanding of thermal design optimization and testing\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records."},{"id":"5dafad4a-2269-4e99-9a13-13971d0f0bf6","title":"Parts and Inventory Specialist","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"Fremont","secondaryLocations":[],"publishedAt":"2026-06-19T00:18:44.457+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Fremont"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/5dafad4a-2269-4e99-9a13-13971d0f0bf6","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/5dafad4a-2269-4e99-9a13-13971d0f0bf6/application","descriptionHtml":"Who We Are
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.
The Team
This role sits within the hardware operations org. You’ll be the first dedicated inventory specialist at PI, partnering daily with the build team to keep workstations stocked and assembly operations moving. The infrastructure is already in place — laser label maker, bins, cabinets, QR code tracking software — so you’re walking into a clean setup with real ownership from day one.
In This Role You Will
- Parts Procurement: Source and purchase hardware components — including fasteners, mechanical and electronic parts — to support ongoing robot assembly operations
- Inventory Management: Track and maintain accurate inventory records using QR code software, including part counts, bin locations, and reorder points across bulk and line-side stock
- Receiving & Outgoing: Process incoming shipments, verify against purchase orders, label and bin parts accurately, and manage outgoing materials requests
- Kitting Support: Prepare and stage parts kits for assembly workflows based on weekly demand planning rather than per-build kitting cycles
- System Development: Help develop and refine part numbering systems, organizational structures, and inventory processes on a clean-slate operation that can grow without over-engineering
- Scaling Readiness: Maintain organized systems capable of scaling from current inventory (under 10,000 parts across 5–6 products) as new product lines are added
What We Hope You’ll Bring
- Demonstrated experience managing parts inventory with moderate complexity — hundreds to thousands of SKUs — and the ability to point to where you’ve done it successfully
- Familiarity with part numbering systems and inventory tracking software (QR/barcode systems, spreadsheets, or dedicated inventory platforms)
- Computer literacy and comfort with procurement workflows, purchase orders, and basic supply chain processes
- Exceptional organizational skills and attention to detail — the kind of person who notices when something is out of place and fixes it
- 9–5 availability; parts arrive during business hours and consistent presence is important for receiving and restocking
Bonus Points
- Experience in a hardware startup, robotics, or fast-paced manufacturing environment
- Background combining procurement, receiving, and inventory tracking in a single generalist role
- Familiarity with supply chain concepts like demand planning, safety stock, and supplier lead times
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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\nThis role sits within the hardware operations org. You’ll be the first dedicated inventory specialist at PI, partnering daily with the build team to keep workstations stocked and assembly operations moving. The infrastructure is already in place — laser label maker, bins, cabinets, QR code tracking software — so you’re walking into a clean setup with real ownership from day one.\n\nIn This Role You Will\n\n- Parts Procurement: Source and purchase hardware components — including fasteners, mechanical and electronic parts — to support ongoing robot assembly operations\n\n- Inventory Management: Track and maintain accurate inventory records using QR code software, including part counts, bin locations, and reorder points across bulk and line-side stock\n\n- Receiving & Outgoing: Process incoming shipments, verify against purchase orders, label and bin parts accurately, and manage outgoing materials requests\n\n- Kitting Support: Prepare and stage parts kits for assembly workflows based on weekly demand planning rather than per-build kitting cycles\n\n- System Development: Help develop and refine part numbering systems, organizational structures, and inventory processes on a clean-slate operation that can grow without over-engineering\n\n- Scaling Readiness: Maintain organized systems capable of scaling from current inventory (under 10,000 parts across 5–6 products) as new product lines are added\n\nWhat We Hope You’ll Bring\n\n- Demonstrated experience managing parts inventory with moderate complexity — hundreds to thousands of SKUs — and the ability to point to where you’ve done it successfully\n\n- Familiarity with part numbering systems and inventory tracking software (QR/barcode systems, spreadsheets, or dedicated inventory platforms)\n\n- Computer literacy and comfort with procurement workflows, purchase orders, and basic supply chain processes\n\n- Exceptional organizational skills and attention to detail — the kind of person who notices when something is out of place and fixes it\n\n- 9–5 availability; parts arrive during business hours and consistent presence is important for receiving and restocking\n\nBonus Points\n\n- Experience in a hardware startup, robotics, or fast-paced manufacturing environment\n\n- Background combining procurement, receiving, and inventory tracking in a single generalist role\n\n- Familiarity with supply chain concepts like demand planning, safety stock, and supplier lead times\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records."},{"id":"8e9830f4-89ba-46e6-ab73-648c550aaf3c","title":"Robot Integration Engineer","department":"Hardware","team":"Hardware","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-05-18T02:24:29.164+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"Who We Are
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.
The Team
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.
In This Role You Will
- 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.
- Acceptance Criteria & Metrics: Define acceptance tests, criteria, and passing metrics with clear documentation on test plans.
- 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.
- 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.
- Reliability Improvements: Own MTBF for integrated platforms and lead design improvements to push reliability metrics upward.
- Cross-Functional Collaboration: Engage with hardware and software teams to close interface gaps and drive design improvements throughout integration and sustainment.
What We Hope You’ll Bring
- B.S. in Robotics, Mechatronics, Systems Engineering, Electrical Engineering, or equivalent experience.
- 5+ years of experience with robot systems integration across multiple hardware and software disciplines, including system verification and validation testing.
- Strong understanding of mechanical, electrical, and software interactions in robotic systems, with the ability to resolve complex issues across all three.
- Strong understanding of robotics hardware and electromechanical systems including actuators, PCBs, cameras, wiring harnesses, and communication hardware.
- Software proficiency to build integration tooling, scripts, and automated tests that improve reliability and speed of integration.
- Test execution and data analysis skills — ability to process and analyze data to pull technical insights from results.
- Excellent written and verbal communication, particularly in technical documentation.
- High ownership and ability to thrive in a highly dynamic startup environment.
Bonus Points
- Prior experience integrating mobile manipulators, humanoid platforms, or other complex multi-DOF robotic systems.
- Familiarity with Python, ROS, and tooling for automated test execution and data pipelines.
- Experience operating in a zero-to-one or early-stage fleet/operations environment.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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."},{"id":"f020ff1a-4b4c-4415-8434-2da5010a7076","title":"Research Internships","department":"AI & Robotics Research","team":"AI & Robotics Research","employmentType":"Intern","location":"San Francisco","secondaryLocations":[],"publishedAt":"2024-08-24T23:26:05.122+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"Internships
","descriptionPlain":"Internships"},{"id":"1a05f471-1896-45a3-bff8-89db0abe0259","title":"Recruiting Coordinator ","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-02T18:19:50.499+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/1a05f471-1896-45a3-bff8-89db0abe0259","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/1a05f471-1896-45a3-bff8-89db0abe0259/application","descriptionHtml":"Who We Are
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.
The Team
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.
This role is 100% in person.
In this role, you will:
- Own all interview scheduling across Pi’s open roles: coordinate multi-panel onsites, phone screens, and founder rounds across complex calendars with fast turnaround and zero drops.
- Run Ashby as the system of record: maintain pipeline hygiene, ensure stages/dispositions are accurate, build and maintain reporting dashboards, and generate weekly pipeline updates.
- Own candidate experience end-to-end: be the primary point of contact for candidates from first scheduling touchpoint through offer close. Ensure communication is fast, warm, and consistent at every stage.
- Build and improve recruiting workflows: design scheduling templates, interviewer calibration materials, candidate communication sequences, and feedback collection processes. Document everything so it scales beyond you.
- Support hiring manager enablement: prep hiring managers for interviews (scorecards, role context), collect and consolidate debrief feedback, and help maintain interviewer training materials.
- Partner on recruiting events and employer brand logistics: coordinate on-site visits, support recruiting events, and help maintain job postings (ensuring CA pay transparency compliance on all postings).
What We Hope You’ll Bring
- 1–4 years in recruiting coordination, executive assistance, or high-volume scheduling at a fast-moving company. Startup or high-growth experience strongly preferred.
- Insanely meticulous: your attention to detail borders on insufferable.
- Operationally obsessive: scheduling complex multi-panel interviews across time zones and calendars with zero drops is a matter of pride.
- Systems native: fluent in ATS workflows (Ashby preferred), calendar tools, and automation. You see a broken process, you fix it. No permission required.
- Candidate experience first: every touchpoint is fast, warm, clear, and consistent. You treat candidates exactly how you would like to be treated.
- Excellent judgment under pressure: you can triage competing priorities (exec schedule change, candidate cancellation, a vagabond absconded with your conference room) and communicate tradeoffs crisply and calmly.
- Comfortable building from scratch: there is no playbook yet. You will design the coordination workflows, templates, and reporting cadences that become Pi’s recruiting operating system.
- Strong written communication: your candidate emails are clear and error-free. You represent Pi’s culture in every touchpoint.
- High EQ and discretion: you handle sensitive candidate and compensation information with maturity. You understand confidentiality is non-negotiable.
Bonus Points
- Experience coordinating technical hiring (engineering, ML, research) where interview loops are complex, and interviewers are in high demand.
- Experience with Ashby specifically reporting, workflows, and automated scheduling.
- Exposure to offer operations: packet assembly, background checks, I-9 coordination, or onboarding handoff.
- Interest in growing into a recruiting or people ops career. This role has clear upward trajectory at a company that promotes from within.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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 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\nThis role is 100% in person.\n\nIn this role, you will:\n\n- Own all interview scheduling across Pi’s open roles: coordinate multi-panel onsites, phone screens, and founder rounds across complex calendars with fast turnaround and zero drops.\n\n- Run Ashby as the system of record: maintain pipeline hygiene, ensure stages/dispositions are accurate, build and maintain reporting dashboards, and generate weekly pipeline updates.\n\n- Own candidate experience end-to-end: be the primary point of contact for candidates from first scheduling touchpoint through offer close. Ensure communication is fast, warm, and consistent at every stage.\n\n- Build and improve recruiting workflows: design scheduling templates, interviewer calibration materials, candidate communication sequences, and feedback collection processes. Document everything so it scales beyond you.\n\n- Support hiring manager enablement: prep hiring managers for interviews (scorecards, role context), collect and consolidate debrief feedback, and help maintain interviewer training materials.\n\n- Partner on recruiting events and employer brand logistics: coordinate on-site visits, support recruiting events, and help maintain job postings (ensuring CA pay transparency compliance on all postings).\n\nWhat We Hope You’ll Bring\n\n- 1–4 years in recruiting coordination, executive assistance, or high-volume scheduling at a fast-moving company. Startup or high-growth experience strongly preferred.\n\n- Insanely meticulous: your attention to detail borders on insufferable.\n\n- Operationally obsessive: scheduling complex multi-panel interviews across time zones and calendars with zero drops is a matter of pride.\n\n- Systems native: fluent in ATS workflows (Ashby preferred), calendar tools, and automation. You see a broken process, you fix it. No permission required.\n\n- Candidate experience first: every touchpoint is fast, warm, clear, and consistent. You treat candidates exactly how you would like to be treated.\n\n- Excellent judgment under pressure: you can triage competing priorities (exec schedule change, candidate cancellation, a vagabond absconded with your conference room) and communicate tradeoffs crisply and calmly.\n\n- Comfortable building from scratch: there is no playbook yet. You will design the coordination workflows, templates, and reporting cadences that become Pi’s recruiting operating system.\n\n- Strong written communication: your candidate emails are clear and error-free. You represent Pi’s culture in every touchpoint.\n\n- High EQ and discretion: you handle sensitive candidate and compensation information with maturity. You understand confidentiality is non-negotiable.\n\nBonus Points\n\n- Experience coordinating technical hiring (engineering, ML, research) where interview loops are complex, and interviewers are in high demand.\n\n- Experience with Ashby specifically reporting, workflows, and automated scheduling.\n\n- Exposure to offer operations: packet assembly, background checks, I-9 coordination, or onboarding handoff.\n\n- Interest in growing into a recruiting or people ops career. This role has clear upward trajectory at a company that promotes from within.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records."},{"id":"13808317-916f-4ed2-b4f5-a539ac3cf81c","title":"AI and Robotics Recruiter ","department":"People","team":"People","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-05T19:02:03.205+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"Who We Are
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.
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.
The Team
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.
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.
In This Role You Will
- 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
- Be a hunter: proactively identify and engage top-tier talent across ML research, robotics, systems, and infrastructure. Bring analytical rigor to your talent strategies.
- 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.
- 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?
- 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.
- Be a builder: design bespoke closing strategies. Tell the company story with clarity and conviction so candidates leave energized and informed. Leave no stone.
- 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.
What We Hope You’ll Bring
- 6+ years of recruiting top .02% talent. Everyone says they have a high bar. We mean it, mathematically.
- Resilience. If you think you’ve “seen this market before,” you haven’t. None of us have.
- 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.
- 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.
- 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.
- Genuine interest and curiosity about robotics and AI in the physical world.
- A data-driven mindset. We work with scientists; we evidence our actions.
Bonus Points If You Have
- Experience recruiting ML/robotics/AI or Hardware talent.
- Executive Recruiting Experience.
- Prior experience as a first recruiter or Head of Talent.
- Familiarity with AI-powered recruiting tools and automation workflows.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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."},{"id":"1a7a181f-c318-4e0b-9516-c7111b3e3968","title":"Applied Researcher","department":"AI & Robotics Research","team":"AI & Robotics Research","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-01-23T05:30:53.269+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"Who We Are
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.
The Team
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.
In This Role You Will
- Deploy and debug learned policies on physical robots, diagnosing failures across the full stack (perception, policy, control, hardware).
- Train and tune policies, curate data, and iterate to improve real-world performance.
- Write production-quality code that interfaces with Pi’s infrastructure.
- Work with operators to set up tests, evals, and data collection pipelines.
- Engage with partners to understand use cases and observe robots in deployment contexts.
- Bridge research and operations: translate research advances into deployable systems, and surface real-world failure modes back to researchers and (software and hardware!) engineers.
- Define and shape a vision for what real-world deployments will look like in the long-term
What We Hope You’ll Bring
- Hands-on experience deploying robots or autonomous systems in real-world environments
- Strong engineering skills: clean Python, ability to interface with infrastructure, debugging instincts
- Ability to debug the full stack from perception to control
- Practical mindset: motivated by making things work, not by open-ended research
- Clear communication with researchers, operators, and occasionally partners
Bonus Points If You Have
- Founded or worked at an early-stage robotics or AV company
- PhD in relevant field
- Intuition for policy training, neural network debugging, and data curation
- Experience with robot manipulation platforms
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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."},{"id":"1e8a741a-d415-4c34-9ac8-eda4c5393e41","title":"Deployments Software Engineer","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-08T13:11:12.814+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"Who We Are
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.
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.
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.
The Team
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.
In This Role You Will
- Design remote teleoperation interfaces: Develop comfortable and precise interfaces for controlling robots with many degrees of freedom
- Optimize for low-latency network performance: Engineer teleoperation interfaces that can continue functioning even in weak internet areas
- Optimize System Performance: Profile and optimize across compute, I/O, memory, scheduling, networking, and storage to meet real-time constraints and increase throughput.
- Streaming & Video Systems: Develop and optimize real-time video streaming systems where frame timing and packet scheduling matter.
- Reliability & Debugging: Build tooling for profiling, tracing, and debugging timing issues across distributed systems and hardware interfaces.
- Cross-Functional Collaboration: Work with researchers, hardware engineers, and operations teams to integrate optimized pipelines into production workflows.
What We Hope You’ll Bring
- Strong programming skills in C++, Rust, or Python, with experience building and optimizing production software.
- Background in real-time or near–real-time systems, VR/AR, video pipelines, 3D engines, or streaming systems where latency budgets are strict.
- Ability to optimize across the entire stack - drivers, networking, compute workloads, video frameworks, and distributed components.
- Experience with profiling tools (perf, tracing, eBPF, GPU profilers, network analyzers) and comfort diving into complex performance issues.
- A mindset oriented around determinism, throughput, frame budgets, jitter minimization, and real-time correctness.
- Ability to collaborate deeply with robot users, researchers, and platform engineers to build a precise and comfortable teleoperation interface.
Bonus Points If You Have
- Experience with robot teleoperation systems, VR/AR platforms, or low-latency 3D engines.
- Camera system expertise (synchronization, capture pipelines, codecs, GPU offload).
- Streaming/video conferencing stack experience (WebRTC, real-time transport optimizations).
- Background in robotics or autonomous systems (implementation, not research).
- Familiarity with distributed systems that process real-time data flows.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
The Team
The Robotics Service 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.
In This Role You Will
Electrical Maintenance: Repair electrical systems including wiring, circuits, power supplies, sensors, and control systems; conduct regular electrical inspections and preventive maintenance on robotic units
Mechanical Maintenance: Repair mechanical components such as actuators, motors, gearboxes, bearings, and moving parts; perform inspections, alignments, and calibrations to keep systems within spec
Diagnostics & Testing: Perform tests using diagnostic tools, multimeters, oscilloscopes, and specialized equipment; interpret electrical schematics and wiring diagrams to locate and resolve issues
Documentation: Maintain thorough documentation of repairs, part replacements, and maintenance activities using Linear and Notion
Hardware Feedback: Propose solutions to the hardware engineering team for ease of repair, component standardization, and improved maintainability
Safety & Compliance: Ensure all work complies with company standards, safety regulations, and industry best practices; identify potential hazards and initiate corrective actions
What We Hope You’ll Bring
Associate degree in Electrical/Mechanical Engineering, Robotics, or a related technical field (bachelor’s a plus), or equivalent hands-on experience
3+ years of experience in electrical and mechanical maintenance, with a background in robotics, automation, or a related industry
Proficiency in troubleshooting and repairing electrical systems (AC/DC motors, wiring, controllers) and mechanical components (motors, gears, bearings)
Experience with diagnostic tools including multimeters, oscilloscopes, and PLCs
Ability to read and interpret technical manuals, schematics, and engineering drawings
Proficiency with hand tools, power tools, and industrial-grade equipment
Strong attention to detail and excellent communication and teamwork abilities
Bonus Points
Relevant certifications in electrical or mechanical systems (e.g., ASE, NATE, IPC or equivalent)
Familiarity with robotics systems, automation technologies, and fleet management tools
Experience working in a fast-moving startup or research environment
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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 Service 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 - 3+ 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."},{"id":"37e6a38f-71ff-4ff9-8151-ddbd20fcb6ae","title":"Product Manager","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-26T23:41:53.201+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/37e6a38f-71ff-4ff9-8151-ddbd20fcb6ae","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/37e6a38f-71ff-4ff9-8151-ddbd20fcb6ae/application","descriptionHtml":"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.
The team
This role sits on Research Operations. In Operations, Research Operations directs the work, Production Operations owns the people and scaled execution, and the Product Managers owns the systems that make execution scalable. Product Managers partner closely with Strategic Project Leads, prototypers/Research Associates, engineers, and Production Operations leaders to design and improve the operating systems that power Data Operations.
In this role you will
Own the roadmap for one or more Research Operations product areas.
Define and improve the systems that govern intake, prioritization, resource allocation, execution visibility, quality management, and operational planning to create a world-class researcher experience.
Partner with engineers to design, build, and launch tools that increase operational efficiency and improve user experience.
Work closely with Strategic Project Leads to identify recurring execution bottlenecks and convert manual workflows into scalable systems.
Establish operational metrics, dashboards, and reporting mechanisms that improve decision-making and visibility.
Drive process standardization where appropriate while preserving flexibility for research work.
Partner with Production Operations to improve throughput, staffing visibility, training systems, and execution quality.
Collaborate with researchers to understand workflow pain points and operational needs.
Translate ambiguous operational challenges into clear product requirements and measurable outcomes.
Continuously evaluate operational performance and prioritize investments that create the greatest organizational leverage.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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\nThis role sits on Research Operations. In Operations, Research Operations directs the work, Production Operations owns the people and scaled execution, and the Product Managers owns the systems that make execution scalable. Product Managers partner closely with Strategic Project Leads, prototypers/Research Associates, engineers, and Production Operations leaders to design and improve the operating systems that power Data Operations.\n\nIn this role you will\n\n\n\n - Own the roadmap for one or more Research Operations product areas.\n\n - Define and improve the systems that govern intake, prioritization, resource allocation, execution visibility, quality management, and operational planning to create a world-class researcher experience.\n\n - Partner with engineers to design, build, and launch tools that increase operational efficiency and improve user experience.\n\n - Work closely with Strategic Project Leads to identify recurring execution bottlenecks and convert manual workflows into scalable systems.\n\n - Establish operational metrics, dashboards, and reporting mechanisms that improve decision-making and visibility.\n\n - Drive process standardization where appropriate while preserving flexibility for research work.\n\n - Partner with Production Operations to improve throughput, staffing visibility, training systems, and execution quality.\n\n - Collaborate with researchers to understand workflow pain points and operational needs.\n\n - Translate ambiguous operational challenges into clear product requirements and measurable outcomes.\n\n - Continuously evaluate operational performance and prioritize investments that create the greatest organizational leverage.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records."},{"id":"3806333f-ecf5-4f65-b404-e9418ba26b87","title":"Strategic Project Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-26T23:54:45.529+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","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":"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.
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.
The role
The Strategic Project Lead (SPL) owns the successful delivery of company-critical research and deployment initiatives. SPLs serve as the operational owners of a portfolio of work, partnering with researchers, Research Associates, and Production Operations to ensure projects are appropriately prioritized, staffed, resourced, and delivered. While SPLs do not directly manage operators, they direct project work and are accountable for delivery outcomes.
What you’ll do
Own delivery of assigned research and deployment initiatives from intake through completion.
Partner with researchers and stakeholders to define scope, success criteria, timelines, and operational requirements.
Prioritize work and allocate resources across competing projects based on impact, urgency, and available capacity.
Build execution plans that define staffing, robot allocation, dependencies, milestones, and delivery timelines.
Direct project execution across Research Associates, Production Operations, and partner teams.
Identify and resolve risks, bottlenecks, staffing gaps, and dependency conflicts before they impact delivery.
Drive project reviews, stakeholder communication, escalations, and delivery decisions.
Improve planning, prioritization, and operational systems as the organization scales.
What we’re looking for
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.
Ideal background
2+ years of experience in program management, operations, technical project management, consulting, startup operations, or similar roles.
Experience leading complex cross-functional initiatives involving multiple stakeholders and competing priorities.
Strong track record of translating ambiguous goals into executable plans and successful outcomes.
Experience balancing competing priorities and making thoughtful resource-allocation decisions.
Ability to quickly understand technical goals, operational constraints, and execution tradeoffs.
Experience communicating effectively with both technical and non-technical stakeholders.
Key qualities
Exceptional prioritization and organizational skills.
Strong operational judgment and systems thinking.
Comfort making decisions with incomplete information.
Ability to identify risks, bottlenecks, and dependencies before they become problems.
Ability to influence across teams without direct management authority.
Strong written and verbal communication skills.
High ownership and accountability for outcomes.
Bias toward action and execution.
Nice to have
Experience supporting AI, robotics, hardware, or research organizations.
Experience managing data collection, evaluation, annotation, or operational programs.
Familiarity with robotics workflows and teleoperation environments.
Experience building operational processes and scaling teams.
Experience working directly with researchers, engineers, or technical product teams.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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\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 role\n\nThe Strategic Project Lead (SPL) owns the successful delivery of company-critical research and deployment initiatives. SPLs serve as the operational owners of a portfolio of work, partnering with researchers, Research Associates, and Production Operations to ensure projects are appropriately prioritized, staffed, resourced, and delivered. While SPLs do not directly manage operators, they direct project work and are accountable for delivery outcomes.\n\nWhat you’ll do\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’re looking for\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\nIdeal background\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\nKey qualities\n\n - Exceptional prioritization and organizational skills.\n\n - Strong operational judgment and systems thinking.\n\n - Comfort making decisions with incomplete information.\n\n - Ability to identify risks, bottlenecks, and dependencies before they become problems.\n\n - Ability to influence across teams without direct management authority.\n\n - Strong written and verbal communication skills.\n\n - High ownership and accountability for outcomes.\n\n - Bias toward action and execution.\n\nNice to have\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."},{"id":"4180292d-e5d8-4a52-a37b-aceda803e743","title":"Data Annotation Lead","department":"Operations","team":"Operations","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-29T17:22:10.163+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/4180292d-e5d8-4a52-a37b-aceda803e743","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/4180292d-e5d8-4a52-a37b-aceda803e743/application","descriptionHtml":"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.
The role
We're looking for a Data Annotation Lead to own annotation operations and scale the team behind it. Annotation is core to how our models improve, and demand is growing fast. You will scale the annotation workforce from 100s to 1,000s while raising the quality bar — designing the org, the training pipeline, the quality system, and the metrics that let it scale efficiently.
You will own the people and the operation: throughput, quality, cost, and delivery across every annotation type.
In this role you will
Own annotation operations end-to-end: throughput, quality, cost, and on-time delivery across all annotation types.
Scale the annotation workforce from 100s to 1,000s: workforce planning, org design, and the hiring and onboarding funnel.
Build and lead a multi-layer management structure; hire, develop, and manage managers and team leads.
Scale throughput with autolabeling and model-based annotation: design human-in-the-loop workflows where models pre-label and annotators review, correct, and escalate, so output grows faster than headcount.
Stand up the training and certification pipeline that brings new annotators and teams to the quality bar quickly and consistently.
Define and continuously raise the quality bar: rubrics, calibration, audit/QA loops, and quality-adjusted productivity.
Establish operational metrics and reporting (presence, throughput, acceptance/rejection, rework) and drive week-over-week improvement.
Run capacity planning and prioritization against competing demand; allocate teams to the highest-impact work.
Manage performance at scale with clear standards, feedback, and a fair improvement/exit process.
Partner with product and engineering to define annotation tooling that unlocks throughput and quality.
Partner with research and project leads to translate annotation needs into clear instructions, rubrics, and SLAs.
Own the in-house vs. vendor mix and manage external partners where used.
Own the annotation operating budget and unit economics; improve cost-per-annotation while protecting quality.
What you'll bring
7+ years leading scaled data or annotation operations, including teams in the 100s+.
3+ years as a manager of managers.
Track record standing up 0→1 annotation programs.
Deep command of annotation best practices, operations, and strategy.
Experience integrating autolabeling and model-based annotation into human workflows; building human-in-the-loop pipelines that raise throughput without sacrificing quality.
Fluency with operational and quality metrics; data-driven management of large workforces.
Strong cross-functional partnership with product, engineering, and research/ML.
Clear written and verbal communication; able to set and hold standards across a large, distributed team.
Working understanding of ML and why annotation quality drives model performance.
Nice to have
Experience in robotics, autonomous vehicles, or frontier-AI data pipelines.
Experience managing distributed/global and/or vendor workforces.
Built annotation tooling or partnered tightly with a tooling team.
Experience training or fine-tuning autolabeling models, or partnering closely with the ML teams that do.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
","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 role\n\nWe're looking for a Data Annotation Lead to own annotation operations and scale the team behind it. Annotation is core to how our models improve, and demand is growing fast. You will scale the annotation workforce from 100s to 1,000s while raising the quality bar — designing the org, the training pipeline, the quality system, and the metrics that let it scale efficiently.\n\nYou will own the people and the operation: throughput, quality, cost, and delivery across every annotation type.\n\nIn this role you will\n\n - Own annotation operations end-to-end: throughput, quality, cost, and on-time delivery across all annotation types.\n\n - Scale the annotation workforce from 100s to 1,000s: workforce planning, org design, and the hiring and onboarding funnel.\n\n - Build and lead a multi-layer management structure; hire, develop, and manage managers and team leads.\n\n - Scale throughput with autolabeling and model-based annotation: design human-in-the-loop workflows where models pre-label and annotators review, correct, and escalate, so output grows faster than headcount.\n\n - Stand up the training and certification pipeline that brings new annotators and teams to the quality bar quickly and consistently.\n\n - Define and continuously raise the quality bar: rubrics, calibration, audit/QA loops, and quality-adjusted productivity.\n\n - Establish operational metrics and reporting (presence, throughput, acceptance/rejection, rework) and drive week-over-week improvement.\n\n - Run capacity planning and prioritization against competing demand; allocate teams to the highest-impact work.\n\n - Manage performance at scale with clear standards, feedback, and a fair improvement/exit process.\n\n - Partner with product and engineering to define annotation tooling that unlocks throughput and quality.\n\n - Partner with research and project leads to translate annotation needs into clear instructions, rubrics, and SLAs.\n\n - Own the in-house vs. vendor mix and manage external partners where used.\n\n - Own the annotation operating budget and unit economics; improve cost-per-annotation while protecting quality.\n\nWhat you'll bring\n\n - 7+ years leading scaled data or annotation operations, including teams in the 100s+.\n\n - 3+ years as a manager of managers.\n\n - Track record standing up 0→1 annotation programs.\n\n - Deep command of annotation best practices, operations, and strategy.\n\n - Experience integrating autolabeling and model-based annotation into human workflows; building human-in-the-loop pipelines that raise throughput without sacrificing quality.\n\n - Fluency with operational and quality metrics; data-driven management of large workforces.\n\n - Strong cross-functional partnership with product, engineering, and research/ML.\n\n - Clear written and verbal communication; able to set and hold standards across a large, distributed team.\n\n - Working understanding of ML and why annotation quality drives model performance.\n\nNice to have\n\n - Experience in robotics, autonomous vehicles, or frontier-AI data pipelines.\n\n - Experience managing distributed/global and/or vendor workforces.\n\n - Built annotation tooling or partnered tightly with a tooling team.\n\n - Experience training or fine-tuning autolabeling models, or partnering closely with the ML teams that do.\n\n\n\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records."},{"id":"34f961c9-a55b-4806-b446-523f39489063","title":"Member of Technical Staff - Product Engineering","department":"Software Engineering","team":"Software Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-10T21:25:29.219+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/physicalintelligence/34f961c9-a55b-4806-b446-523f39489063","applyUrl":"https://jobs.ashbyhq.com/physicalintelligence/34f961c9-a55b-4806-b446-523f39489063/application","descriptionHtml":"Member of Technical Staff - Product Engineering
Build the platform that lets other companies use PI's models: give partners access to our models, fine-tuning, remote inference, and the services around them, so a robotics company can build on PI the way developers build on API-based LLMs. This spans data ingestion and APIs, a partner portal, and deployment integrations, all working end to end and self-serve.
Ingest partner data end to end: take a new data or robot partner from their first sample to featurized, validated data in our system, and to a checkpoint they can eval.
Deploy and serve partner models: stand up remote inference endpoints, validate them, and get partners running our policies at low latency in their own environment.
Be the engineer embedded in partner engagements: sit in the partner channel, debug their deployment across the full stack, unblock them, and translate what they need into what we build.
Write production-quality code that interfaces with PI's infrastructure.
Bridge research and partners: turn research advances into deployable systems, and surface real-world failure modes back to researchers and engineers.
This is a software and systems role first, so a robotics or ML research background is not required. We care more about what you can do than whether you fit a standard profile.
An exceptional generalist software engineer who ships fast and owns results end to end. You have strong backend and systems design instincts, you understand how to run inference with our models, and you do your best work directly with partners and researchers.
Strong engineering skills: clean Python, the ability to interface with infrastructure, and sharp debugging instincts.
Strong backend and systems design: you can design a scalable system (databases, caching, APIs, services) and defend it under scrutiny.
Enough ML to run inference: you understand how to deploy, serve, and debug our models, even if you do not train them.
A practical, ownership mindset: you are motivated by making things work end to end.
Clear communication with researchers, operators, and partners.
Comfort with ambiguity and with on-site, embedded partner work.
Founded or worked at an early-stage robotics, AV, or infrastructure startup.
Low-latency and real-time networking experience (inference transport, streaming, QUIC or websockets).
Experience with robot manipulation platforms, VLAs, or other ML models.
Familiarity with our stack: Python, Postgres, ClickHouse, GCP, Kubernetes, Modal, React and TypeScript.