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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 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.
- 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.
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More from this employer
San Francisco, USA
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 r
San Francisco, USA
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 r
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
San Francisco, USA
- 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.
- 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.
AI robotics company developing foundation models and learning algorithms for robots and physically actuated devices.
Visit company websiteJobs and hiring trendsFull-time
Mid · 5+ years experience
Onsite
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