Drimva

Physical Intelligence

Applied Researcher

San Francisco · On-site · Full-time · Posted Jan 23, 2026

About the job

Deploys and improves learned policies on physical robots, translating research advances into reliable systems for real-world use.

What you'll do

  • Deploy and debug robot policies across perception, policy, control, and hardware; train and tune policies and curate data.
  • Write production-quality code, and work with operators to set up tests, evaluations, and data-collection pipelines.
  • Engage with partners and relay real-world failure modes to researchers and engineers.

What they ask for

  • Hands-on experience deploying robots or autonomous systems in real-world environments.
  • Strong engineering skills, including clean Python, interfacing with infrastructure, and debugging.
  • Ability to debug the full stack from perception to control.
  • Clear communication with researchers, operators, and occasionally partners.

Nice to have

  • Founded or worked at an early-stage robotics or AV company; PhD in a relevant field.
  • Intuition for policy training, neural network debugging, and data curation; experience with robot manipulation platforms.

Tools

Python

AI focus

Trains, tunes, and deploys learned policies for robots, improving real-world performance and translating research advances into deployable systems.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)