Feeny
Physical Intelligence

Robot Integration Engineer at Physical Intelligence (San Francisco, CA)

Physical Intelligence· San Francisco, CA·

Role details

Work type
Onsite
Employment
Full-Time
Skills
Robot systems integrationSystem verification and validation testingMechanical systemsElectrical systemsSoftware systemsActuatorsPCBsCamerasWiring harnessesCommunication hardwareIntegration toolingScripting

Summary

The Robot Integration Engineer owns the integration of robot platforms into the fleet, driving closure on system issues across electrical, mechanical, and software interfaces. This role involves defining acceptance criteria, executing fleet acceptance testing, and monitoring platform reliability to ensure successful...

Job description

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 sustainment.

What We Hope You’ll Bring

  • B.S. in Robotics, Mechatronics, Systems Engineering, Electrical Engineering, or equivalent experience.
  • 5+ years of experience with robot systems integration across multiple hardware and software disciplines, including system verification and validation testing.
  • Strong understanding of mechanical, electrical, and software interactions in robotic systems, with the ability to resolve complex issues across all three.
  • Strong understanding of robotics hardware and electromechanical systems including actuators, PCBs, cameras, wiring harnesses, and communication hardware.
  • Software proficiency to build integration tooling, scripts, and automated tests that improve reliability and speed of integration.
  • Test execution and data analysis skills — ability to process and analyze data to pull technical insights from results.
  • Excellent written and verbal communication, particularly in technical documentation.
  • High ownership and ability to thrive in a highly dynamic startup environment.

Bonus Points

  • Prior experience integrating mobile manipulators, humanoid platforms, or other complex multi-DOF robotic systems.
  • Familiarity with Python, ROS, and tooling for automated test execution and data pipelines.
  • Experience operating in a zero-to-one or early-stage fleet/operations environment.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Why work at Physical Intelligence

  • Culture: Described as a “pure company” – internally driven by research needs, not external market demands. Highly collaborative, with a mix of engineers, scientists, and roboticists working together.
  • Work Environment: Hybrid/in-office – most roles require on-site presence in San Francisco (396 Treat Ave), though some remote flexibility exists. In-office setting with a “no reception” vibe, open lab space with robot stations.
  • Growth: Team has scaled from ~80 (Jan 2026) to 163 (mid-2026) and is still hiring across research, ML infra, hardware, and engineering roles. Plans to grow “as slowly as possible” to maintain quality.
  • Perks & Engineering Highlights: Access to cutting-edge robotics hardware and compute resources; opportunity to publish research and open-source code; exposure to a wide variety of real-world automation challenges (e.g., robots learning to fold pants, peel vegetables, make espresso). Employees come from top institutions like Berkeley, Stanford, Google, NVIDIA, and Anduril.

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