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Physical Intelligence

24 open roles indexed with location, benefit, and apply-link signals where available.

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  • Deployments Software Engineer

    San Francisco, California, United States

    unspecified Salary not disclosed

    Deployments Software Engineer San Francisco, California, United States 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

  • AI and Robotics Recruiter

    San Francisco, California, United States

    unspecified Salary not disclosed

    AI and Robotics Recruiter San Francisco, California, United States 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

  • Recruiting Coordinator

    San Francisco, California, United States

    unspecified Salary not disclosed

    Recruiting Coordinator San Francisco, California, United States 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

  • Robot Integration Engineer

    San Francisco, California, United States

    unspecified Salary not disclosed

    Robot Integration Engineer San Francisco, California, United States 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

  • Electrical Engineer (UMI)

    San Francisco, California, United States

    unspecified Salary not disclosed

    Electrical Engineer (UMI) San Francisco, California, United States 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

  • Build & Release Engineer

    San Francisco, California, United States

    unspecified Salary not disclosed

    Build & Release Engineer San Francisco, California, United States 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

  • Mechatronics Intern

    San Francisco, California, United States

    unspecified Salary not disclosed

    Mechatronics Intern San Francisco, California, United States Fundamentally, a builder. Someone who loves to make robots real. We want someone who's as comfortable debugging a CAN bus issue as they are machining a bracket - an individual who thinks in systems, and who gets excited by tight integration between mechanical, electrical, and embedded design. This fall, you'll join the core Hardware Engineering team at Physical Intelligence who is supporting the robots that power PI's data collection and model training operations. The Team The core Hardware Engineering team designs and builds the robotic arms, mobile platforms, and end-effectors that underpin PI's data collection and model training operations. They work across mechanical, electrical, embedded, and software disciplines to iterate quickly on prototypes, bring up new subsystems, and keep the fleet performant in real-world environments. In This Role You Will - Subsystem Design & Test: Design, build, and test key subsystems for various robotic arms and mobile platforms - including actuation, sensing, enclosures, and power systems. - Hands-On Prototyping: Work hands-on with prototypes in our hardware lab, including bring-up, assembly, calibration, and reliability testing of arms, lifts, mobile bases, and end-effectors. - Cross-Disciplinary Integration: Integrate cross-disciplinary inputs from mechanical, electrical, and software teams to root-cause mission-critical issues and drive high-level system performance. - Data-Driven Iteration: Analyze data from deployments to inform design iteration and reliability improvements. - Full-Stack Subsystem Ownership: Own the full stack of a subsystem from CAD to PCB to bench testing. What We Hope You'll Bring - Completed 3A Mechanical

  • Hardware Systems Intern

    San Francisco, California, United States

    unspecified Salary not disclosed

    Hardware Systems Intern San Francisco, California, United States We're looking for a versatile Hardware Systems Engineering Intern to join our core hardware team this fall. This individual will support the development and improvement of critical infrastructure that supports our fleet's health and uptime in a demanding 24/7 hardware operation. What happens when you ask a robot to run a dishwasher for 8 hours a day? How hard is it really to make a cup of coffee? You'll work alongside experienced engineers who are building the systems that enable robots to perform diverse tasks in warehouses as well as uncontrolled environments out in the wild. The Team The core hardware team sits at the intersection of mechanical, electrical, and systems engineering. They partner closely with software, controls, and manufacturing engineers to take PI's robots from prototype through production - developing test protocols, diagnosing field failures, and building the infrastructure that keeps the fleet running reliably in warehouses and real-world environments. In This Role You Will - Cross-Disciplinary Problem Solving: Deeply engage with problems at the intersection of mechanical, electrical, and controls for robot hardware - take an ambiguous problem, root-cause it, and design and build a solution that addresses it. - Reliability Analysis: Lead data collection and reliability analysis to identify recurring failure modes, log uptime and cycles, and support root-cause investigations (RCCA/FMEA). - Failure Pareto & System Tracking: Develop a failure pareto identifying the core issues that cause robots to fail and when. Collaborate with mechanical, electrical, and software engineers

  • Robotics Research Engineer

    San Francisco, California, United States

    unspecified Salary not disclosed

    Robotics Research Engineer San Francisco, California, United States Role Overview 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. In this role, you will work at the intersection of hardware, software, and large-scale model training to develop effective autonomous robot policies. You'll have the opportunity to work across the full stack behind state-of-the-art vision-language-action models: from designing robotic systems and data collection pipelines that produce high-quality training data, to developing learning algorithms that turn that data into capable, reliable policies. You'll help shape the datasets, infrastructure, and research directions that define how these systems are built. What You'll Do - Build autonomous robot policies that operate robustly in the real world. - Work across the full stack of robot learning, from hardware and data collection to training, evaluation, and deployment. - Create new data collection methods and pipelines to generate the high-quality data that powers state-of-the-art robot models. - Develop and refine vision-language-action models and learning algorithms for general-purpose manipulation and control. - Curate and shape large-scale datasets, task distributions, and training recipes for robot pretraining and adaptation. - Run fast, rigorous experiments to identify bottlenecks, uncover failure modes, and improve policy performance. - Collaborate closely with researchers and engineers across robotics, infrastructure, and ML systems. - Help define the technical roadmap for general-purpose physical intelligence. Competencies and Skills

  • Robot Prototype Technician

    San Francisco, California, United States

    unspecified Salary not disclosed

    Robot Prototype Technician San Francisco, California, United States 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

  • Robot Build Technician

    Fremont, California, United States

    unspecified Salary not disclosed

    Robot Build Technician Fremont, California, United States 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

  • Robot Operator

    San Francisco, California, United States

    unspecified Salary not disclosed

    Robot Operator San Francisco, California, United States About Physical Intelligence 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. The Role 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. What You'll Do Primary Responsibilities - Teleoperate robotic arms through a variety of

  • Business Operations

    San Francisco, California, United States

    unspecified Salary not disclosed

    Business Operations San Francisco, California, United States 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

  • ML Infra Engineer (TPU/Jax/Optimization)

    San Francisco, California, United States

    unspecified Salary not disclosed

    ML Infra Engineer (TPU/Jax/Optimization) San Francisco, California, United States 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,

  • Applied Researcher

    San Francisco, California, United States

    unspecified Salary not disclosed

    Applied Researcher San Francisco, California, United States 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

  • Robot Test Engineer

    San Francisco, California, United States

    unspecified Salary not disclosed

    Robot Test Engineer San Francisco, California, United States Role Overview As a Robot Test Engineer , your role is critical to ensuring that robot systems integrating into our growing robot fleet meet performance requirements and are reliable. You will work with robot systems across a range of maturity levels from early prototypes to production systems. You will be responsible for creating test systems and test processes/documentation, executing tests on robotic systems, and engaging with members of the hardware engineering and software engineering teams to resolve issues that arise during test. Key Responsibilities - Test Process Development: Create test processes and documentation for robotic systems. - Test Setup Development: Build and maintain robot test systems, explore ways to automate testing, etc. - Test Execution: Complete functional, environmental, and reliability testing of robot systems, assemblies, and components ranging across different maturity levels from early prototypes to production robot systems. Collect data, analyze data, and compile data into reports to communicate results broadly. - Test Failure Investigation: Perform root cause analysis from test failures and work with engineers to resolve and drive corrective actions. - Cross Functional Collaboration: Engage with hardware and software teams to align on test processes and to resolve issues observed during testing. Required Competencies & Skills - Education : B.S. in Robotics, Mechatronics, Systems Engineering, Electrical Engineering or equivalent experience - Experience: 4+ years of hands on experience in hardware test engineering, product validation, or quality assurance for electromechanical or robotics systems - Hardware Knowledge : Proficiency debugging electromechanical

  • Controls Engineer

    San Francisco, California, United States

    unspecified Salary not disclosed

    Controls Engineer San Francisco, California, United States 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

  • Robotics Software Engineer

    San Francisco, California, United States

    unspecified Salary not disclosed

    Robotics Software Engineer San Francisco, California, United States 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,

  • Forward Deployed Robotics Engineer

    San Francisco, California, United States

    unspecified Salary not disclosed

    Forward Deployed Robotics Engineer San Francisco, California, United States Role Overview 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

  • Robotics Service Technician

    San Francisco, California, United States

    unspecified Salary not disclosed

    Robotics Service Technician San Francisco, California, United States As a Robotics Service Technician at Physical Intelligence, you will play a critical role in maintaining our fleet of advanced robotic systems. You will be responsible for the electrical and mechanical upkeep of robotic platforms, ensuring they are running at peak performance and minimizing downtime. This role requires skills in both mechanical systems and electrical components, including troubleshooting, diagnostics, and hands-on repairs. The ideal candidate will have a blend of hands-on mechanical and electrical system repair expertise, be highly detail-oriented, and the ability to work in a dynamic, high-tech environment. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.