Teams at Physical Intelligence

Owns end-to-end performance for a portfolio of AI annotation programs, partnering with researchers to define requirements, rubrics, quality standards, and delivery operations. Drives continuous improvement, scalable solutions, and operational efficiency while coordinating technical and nontechnical stakeholders, vendors, and remote teams. Requires strong systems thinking, communication, organization, and understanding of model training and evaluation. Experience with ML annotations, robotics, multimodal data, or coding agents is advantageous.

Build internal fullstack products and human-robot interfaces for operating, monitoring, debugging, and deploying robots. Responsibilities include realtime video and robot-state systems, safety-focused UX, on-device and cloud architecture, fleet versioning, observability, workflow measurement, and direct user-driven product development. The role partners with researchers, operators, and roboticists across lab, warehouse, and field environments.

Design, prototype, test, and integrate robotic arm and mobile platform subsystems spanning mechanical, electrical, embedded, and software disciplines. Responsibilities include hardware bring-up, assembly, calibration, reliability testing, data-driven debugging, and root-cause analysis. The intern will own subsystem development from CAD and PCB work through bench testing while supporting robotics data collection and model training operations.