Robot Integration Engineer
Physical Intelligence - San Francisco, California, United States
Posted May 18, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Robot Integration Engineer San Francisco, California, United States 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
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