Jobs at Physical Intelligence

Design and lead hardware architecture for electrical devices, integrate imaging systems, optimize wireless hardware, validate designs, and collaborate cross-functionally.

Deploy, debug, and iterate learned policies on physical robots across perception, policy, control, and hardware. Train and tune policies, curate data, build production-quality code, set up tests and data pipelines with operators, engage partners in deployment contexts, and translate research advances into reliable, real-world robotic systems.

Design and implement low-latency teleoperation interfaces and real-time video/streaming systems for on-site robots. Profile and optimize across drivers, networking, compute, and storage; build reliability, tracing, and debugging tooling; collaborate with researchers, hardware engineers, and operators to deploy dependable production robotics systems.

This role involves executing cross-functional projects, driving partnerships, managing deployment efforts, and supporting communications with investors and external parties.

Design and implement control algorithms for robotics, develop real-time control loops, and debug complex hardware/software issues while collaborating with cross-functional teams.

The Robot Test Engineer will develop test processes, execute tests on robotic systems, and collaborate with hardware and software teams to ensure reliability and performance of robot systems.

As a Forward Deployed Robotics Engineer, you'll manage robotic systems' technical issues in real-world settings, performing diagnostics, collaborating with teams, and analyzing data for resolution and improvements.

As an ML Infra Engineer, you will optimize and scale training systems, manage GPU/TPU compute, and develop JAX training pipelines, collaborating with researchers for efficient model training.

Engineer low-latency, high-throughput sensor and actuator pipelines, optimize system performance, and integrate complex models into real-time workflows while collaborating across teams.

Full-lifecycle technical recruiter owning searches for ML, robotics, systems, and infrastructure roles. Source passive top-tier candidates, design interview processes, advise on compensation and closing strategies, partner with founders and hiring managers, build market maps and dashboards, and steward candidate experience with data-driven sourcing and hiring approaches.

Develop autonomous robot policies, work on hardware-software integration, create data collection methods, and refine machine learning models for robotics.

The Recruiting Coordinator will schedule interviews, manage candidate pipelines, enhance recruiting workflows, support hiring managers, and maintain candidate communication.

This position offers internship opportunities for individuals interested in gaining research experience.

The Build & Release Engineer will manage infrastructure and developer platforms, focusing on CI/CD systems, build reliability, and Kubernetes services to improve developer productivity and operational efficiency.

As an ML Infra Engineer, you will optimize and manage training systems for large-scale models, collaborating with researchers and engineers on infrastructure and experiment scalability.

Looking for researchers in machine learning and robotics with strong implementation and system-building skills. Open to diverse backgrounds.

Intern responsible for designing, building, and testing subsystems for robotic arms and mobile platforms, integrating mechanical and electrical systems, and iterating designs using data.

As a Hardware Systems Intern, you will support hardware development, analyze reliability, develop tools, improve testing protocols, and assist in production operations.

The role involves integrating robot platforms into a fleet, defining and executing acceptance criteria, maintaining performance, and collaborating cross-functionally to improve system reliability.