Robot Integration Engineer

Physical Intelligence Physical Intelligence · AI Frontier · San Francisco, CA · Hardware

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.

What you'd actually do

  1. 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.
  2. Acceptance Criteria & Metrics: Define acceptance tests, criteria, and passing metrics with clear documentation on test plans.
  3. 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.
  4. 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.
  5. Reliability Improvements: Own MTBF for integrated platforms and lead design improvements to push reliability metrics upward.

Skills

Required

  • robot systems integration
  • system verification and validation testing
  • mechanical, electrical, and software interactions in robotic systems
  • robotics hardware and electromechanical systems
  • software proficiency to build integration tooling, scripts, and automated tests
  • Test execution and data analysis skills
  • technical documentation
  • ownership
  • dynamic startup environment

Nice to have

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

What the JD emphasized

  • accountable owner
  • successful integration
  • system issues
  • acceptance tests
  • passing metrics
  • fleet acceptance testing
  • health and performance
  • troubleshooting guides
  • reliability improvements
  • design improvements
  • interface gaps
  • sustainment
  • robot systems integration
  • system verification and validation testing
  • resolve complex issues
  • automated test execution
  • data pipelines
  • zero-to-one
  • early-stage fleet/operations