Currently tracking 7 active AI roles, up 17% versus the prior 4 weeks. Primary focus: Data · Engineering. Salary range $52k.
AI Frontier · Robotics foundation models (PI)
Physical Intelligence currently has 7 active AI-related job listings. The majority of these roles, 71%, are focused on data. Engineering is the dominant function, with 5 positions. The company is hiring for roles that frequently involve embodied_ai, multimodal, and vision technologies.
Physical Intelligence currently has 8 active AI-related roles in our index. The most common open titles are: Applied Researcher, Controls Engineer, Deployments Software Engineer, ML Infra Engineer, ML Infra Engineer (TPU/Jax/Optimization). Most positions are in Engineering and Research.
Physical Intelligence's active AI hiring is concentrated in: data (63%), agents (25%), application (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Physical Intelligence is hiring AI talent in: United States (8 roles).
Job postings at Physical Intelligence most frequently reference: embodied ai, model serving, multimodal, rl robotics, inference infra.
In the past 30 days, Physical Intelligence has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Applied Researcher This role focuses on deploying and debugging learned policies on physical robots, involving training and tuning policies, writing production-quality code, and debugging the full stack. It bridges research and operations by translating research advances into deployable systems and gathering feedback from real-world failures. The role requires hands-on experience with robot deployment, strong engineering skills, and a practical, debugging-oriented mindset. | AgentPost-train | 9 |
| Robot Operator This role involves teleoperating robotic arms to collect high-quality demonstration data for training foundation models for physical world AI. The operator will perform various tasks, maintain data quality, and meet collection metrics. It's a hands-on, metrics-driven position focused on generating training data for AI-powered robots. | Data | 8 |
| ML Infra Engineer (TPU/Jax/Optimization) ML Infra Engineer focused on scaling and optimizing training systems and core model code, managing GPU/TPU compute, job orchestration, and building efficient JAX training pipelines. Collaborates with researchers to translate ideas into production training runs. | Data | 8 |
| ML Infra Engineer ML Infra Engineer to scale and optimize training systems and core model code, managing GPU/TPU compute, job orchestration, and JAX training pipelines. Collaborates with researchers to translate ideas into production training runs. | Data | 8 |
| Deployments Software Engineer This role focuses on deploying AI-powered robots into the physical world by building and optimizing the software systems that enable teleoperation, real-time performance, and reliability. It involves integrating foundation models with robot hardware, designing user interfaces for control, and ensuring the system is robust enough for customer operations. | AgentServe | 7 |
| Controls Engineer Controls Engineer for Physical Intelligence, designing and implementing algorithms for robot control, including PID, LQR, MPC, and neural-network-driven control. Responsibilities include building and validating models, developing real-time loops, owning robotic bring-up, debugging complex systems, and working with sensor/actuator subsystems. Requires strong understanding of model-based control, Python/C++ proficiency, and real-time loop tuning skills. Bonus for robot learning or manipulation experience. | ShipServe | 7 |
| AI and Robotics Recruiter Recruiter for an AI and robotics company focused on building foundation models and learning algorithms for robots. The role involves full lifecycle recruiting for technical roles across research and engineering, identifying and engaging top talent, designing interview processes, and providing guidance on compensation. | — | 5 |
| Robotics Software Engineer Robotics Software Engineer focused on engineering low-latency, high-throughput systems for physical AI, optimizing OS to camera pipelines and networking. Collaborates with researchers and platform engineers to ensure ML models and control systems meet strict latency budgets and operate reliably in production. | — | 5 |
| Parts and Inventory Specialist Physical Intelligence is seeking a Parts and Inventory Specialist to manage parts procurement and inventory for robot assembly operations. This role involves tracking inventory, processing shipments, preparing parts kits, and developing inventory systems. The ideal candidate will have experience managing parts inventory, familiarity with inventory tracking software, and strong organizational skills. Bonus points for experience in hardware startups or robotics. | — | 0 |
| Recruiting Coordinator This is a recruiting coordinator role focused on managing interview scheduling, candidate experience, and ATS workflows for a company developing AI for robotics. The role is not directly involved in building or researching AI. | — | 0 |
| Robot Integration Engineer Physical Intelligence is building robots powered by foundation models and learning algorithms. This role focuses on integrating robot platforms into the fleet, ensuring their readiness, reliability, and operational health. Responsibilities include defining and executing acceptance tests, monitoring platform health, driving reliability improvements, and collaborating with hardware and software teams. The ideal candidate has experience with robot systems integration, understanding of hardware/software interactions, and software proficiency for building integration tooling. | — | 0 |
| Electrical Engineer (UMI) Electrical Engineer role focused on hardware architecture, imaging system design, wireless integration, schematic/layout, validation, DFM/DFT, and power optimization for AI-powered robots. Requires experience in PCB design, camera systems, high-speed design, bring-up, power management, and communication protocols. | — | 0 |
| Build & Release Engineer Senior Infrastructure Engineer focused on developer productivity, build reliability, and operational scale for robotics systems. Owns CI/CD pipelines, Bazel build systems, cloud infrastructure, and Kubernetes services. | — | 0 |
| Mechatronics Intern Mechatronics Intern role focused on designing, building, and testing robotic subsystems for data collection and model training operations. Requires hands-on prototyping, cross-disciplinary integration, and data-driven iteration. Candidates should have strong mechanical and electromechanical design fundamentals, familiarity with embedded systems, and proficiency in CAD and rapid prototyping tools. | — | 0 |
| Hardware Systems Intern Internship role focused on supporting the development and improvement of critical hardware infrastructure for a robot fleet, involving reliability analysis, failure investigation, tooling design, and test protocols. The role is within a core hardware team at the intersection of mechanical, electrical, and systems engineering. | — | 0 |
| Robot Prototype Technician Physical Intelligence is building general-purpose AI robots and seeks a Robot Prototype Technician to fabricate, assemble, repair, and test early-stage robot prototypes. This role involves working with mechanical and electrical systems, troubleshooting failures, and collaborating with hardware design engineers to iterate on designs. The ideal candidate has experience with electromechanical systems, soldering, diagnostic tools, and interpreting engineering drawings. | — | 0 |
| Robot Build Technician This role focuses on the hands-on assembly, building, and maintenance of robotic systems used for data collection and model training. It involves working with mechanical, electrical, and electromechanical components, executing test protocols, and collaborating with engineering teams to resolve manufacturing issues. The position requires experience in assembly, robotics, and interpreting technical documentation, with a focus on bringing robots from prototype to production. | — | 0 |
| Robot Test Engineer This role focuses on testing robot systems, from prototypes to production, ensuring they meet performance and reliability requirements. Responsibilities include developing test processes and systems, executing functional and reliability tests, investigating failures, and collaborating with hardware and software teams. Requires 4+ years of experience in electromechanical or robotics systems testing, strong hardware and systems knowledge, basic scripting skills, and data analysis abilities. | — | 0 |
| Forward Deployed Robotics Engineer This role focuses on the first line of technical defense for a fleet of robotic systems, involving issue triage, on-site diagnostics, data analysis, and root cause analysis to ensure fleet uptime. It requires strong knowledge of electromechanical systems, software debugging, and systems interactions in robotics. | — | 0 |
| Robotics Service Technician Role focused on the electrical and mechanical maintenance and repair of robotic systems to ensure optimal performance and minimize downtime. | — | 0 |
| Mechanical Design Engineer Mechanical Design Engineer for robotic systems, responsible for the full mechanical development lifecycle from concept to production, including actuator design, kinematics, mechatronics, manufacturing processes, reliability testing, and system integration. Requires experience in high-volume manufacturing and bringing hardware products to market. | — | 0 |