Applied Robotics Deployment Researcher

Physical Intelligence; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Physical Intelligence in San Francisco is seeking an engineer to deploy and debug robots in real-world settings. Candidates should have hands-on experience with robots or autonomous systems, strong Python engineering skills, and an ability to manage the complete stack from perception to control.

The ideal candidate will engage with operators to set up tests and work collaboratively with a full-stack robotics team to create effective deployments.

Qualifications

• Hands–on experience deploying robots or autonomous systems in real-world environments.
• Strong engineering skills: clean Python, ability to interface with infrastructure, debugging instincts.
• Ability to debug the full stack from perception to control.
• Practical mindset: motivated by making things work, not by open-ended research.

Responsibilities

• Deploy and debug learned policies on physical robots.
• Train and tune policies, curate data, and iterate to improve real‑world performance.
• Work with operators to set up tests, evals, and data collection pipelines.
• Engage with partners to understand use cases and observe robots in deployment contexts.

Skills

Hands-on experience deploying robots or autonomous systems in real-world environments

Strong engineering skills: clean Python

Ability to debug the full stack from perception to control

Clear communication with researchers and operators

Education

PhD in relevant field

Job description

Physical Intelligence in San Francisco is seeking an engineer to deploy and debug robots in real-world settings. Candidates should have hands-on experience with robots or autonomous systems, strong Python engineering skills, and an ability to manage the complete stack from perception to control.

The ideal candidate will engage with operators to set up tests and work collaboratively with a full-stack robotics team to create effective deployments.