physicalintelligence

Robot Integration Engineer

Listed by employer · Checked

Older posting · still listed ·

  • onsite
  • FullTime
  • Hardware
  • San Francisco
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
Stated sponsorship
Not stated
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Choose a country to check geographic compatibility. The source requirements are available below.

Source: ashbyChecked Original posting ↗
This is an older posting.

The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.

Browse jobs posted in the past 60 days →

Requirements

2 with evidence7 unclear or unstated
Remote policy
onsite
“Provider workplace type: onsite”
From employer posting metadata
Minimum experience (years)
5
“- 5+ years of experience with robot systems integration across multiple hardware and software disciplines, including system verification and validation testing.”
See matched passage in original description ↓
Employment type
FullTime
8 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Work authorization
Not specified
Compensation
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

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
Read full descriptionShow less description
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.
Original formatting and links

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.

Matched by role category. Review each posting’s requirements before applying.

THE JOB ELIGIBILITY CHECKER

Check a job