Physical Intelligence

ML Infra Engineer responsible for designing and building a scheduling and compute layer for large-scale AI model training across heterogeneous GPU/TPU clusters. This role focuses on intelligent resource allocation, utilization, fault tolerance, and making distributed training seamless, extending to inference and robot deployment.

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.

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.

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.

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.

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.

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.

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.

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.

This role is a Shift Lead for the Operations team at Physical Intelligence, focusing on the day-to-day execution of robot data collection and production at their San Francisco facility. The responsibilities include leading onsite floor operations, managing and developing a team of operators, ensuring data collection quality, communicating with cross-functional teams (research, hardware, software), and enforcing safety protocols. The ideal candidate has experience in tech operations or manufacturing, preferably in robotics, and has proven team management skills.

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.

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.

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.

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.

Role focused on the electrical and mechanical maintenance and repair of robotic systems to ensure optimal performance and minimize downtime.

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.