Physical Intelligence jobs, judged for you, free
An AI lab that builds foundation models to control robots.
- AI
- San Francisco, United States
- 51–200 people
- Private
Newest at Physical Intelligence.
- Lead Security EngineerSan Francisco · Full-time
- Environment CoordinatorSan Francisco · Full-time
- Environment ManagerSan Francisco · Full-time
- Environment SpecialistSan Francisco · Full-time
- Learning & Development Lead, OperationsSan Francisco · Full-time
- General Manager, Research OperationsSan Francisco · Full-time
- Recruiter, HardwareSan Francisco · Full-time
- Set Team SpecialistSan Francisco · Full-time
- ML Infra Engineer, PlatformSan Francisco · Full-time
- ML Engineer, PlatformSan Francisco · Full-time
- ML Engineer, API PlatformSan Francisco · Full-time
- Annotations Portfolio LeadSan Francisco · Full-time
- Software Engineer, Robot InterfacesSan Francisco · Full-time
- Recruiter, OperationsSan Francisco · Full-time
- Embedded EngineerSan Francisco · Full-time
- ML Infra Engineer, ModelingSan Francisco · Full-time
- Software Engineer, Data QualitySan Francisco · Full-time
- People OpsSan Francisco · Full-time
- Prototype EngineerSan Francisco · Full-time
- Production Test EngineerSan Francisco · Full-time
And 25 more open at Physical Intelligence.
See them all, freeThe company, in brief.
What they do
Physical Intelligence (Pi) brings general-purpose AI into the physical world. Its engineers, scientists, and roboticists build foundation models (large AI models trained on broad data) and learning algorithms. These models power the robots of today and the physical devices of the future.
What they value
- Look for exceptional people, and hire a small number of them.
- Respect research, and do whatever work the team needs.
- Own systems from end to end: design, build, run, and improve them.
- Make things work in the real world, not only in open-ended research.
Where they hire
None of the 35 Postings is remote. Thirty-three are in San Francisco, at the office in the Mission District, and two are in Fremont. Robot operators, shift leads, technicians, and props staff work on site in San Francisco to collect training data. No Posting mentions the right to work or visa sponsorship.
Teams and roles
Hardware has the most open roles, then software engineering and operations.
- Hardware: mechanical, controls, embedded, prototype, integration, and manufacturing engineers, plus robot build and test technicians.
- Software engineering: runtime and deployment engineers who make models run at low latency on robots, plus build and release, AI productivity, data quality, and robot interface engineers.
- Machine learning: ML infrastructure engineers for data systems and modeling.
- Research: research scientists, applied researchers, and research interns.
- Operations: robot operators and shift leads who collect data, plus logistics and supply chain.
- Business and people: business operations, strategic projects, recruiting, and people operations.
Robot operators earn $25 per hour and work 8-hour shifts in the morning, evening, or overnight.
What they look for
Six hardware and operations Postings ask for a degree in engineering or a related field, or equivalent experience. Six ask for hands-on skill to debug electromechanical systems, such as motors, wiring, and controllers. Five software and research Postings want strong programming in Python, often with C++ or Rust. Technician roles ask for 2 or more years of hands-on experience. Research roles want both strong fundamentals and strong implementation skills. Several roles ask for clear communication with researchers and operators.
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