Applied Researcher
Physical Intelligence · San Francisco
CHECKED 15H AGO
Roboticsonsite
At a glance
Highlights
- Deploy and debug learned policies on physical robots in the real world.
- Train and tune policies and curate data to boost real-world performance.
- Translate research advances into deployable systems and shape deployment vision.
Ideal candidate
A hands-on roboticist energized by making robots work in the real world. You bridge research and operations with pragmatism, debugging instinct, and clear communication across teams and partners.
Requirements
- Hands-on experience deploying robots or autonomous systems in real-world environments
- Strong engineering skills with clean Python and infrastructure interfaces
- Ability to debug full stack from perception to control
- Practical mindset motivated by making things work
- Clear communication with researchers, operators and partners
Lab profile
About Physical Intelligence
Developing general-purpose AI foundation models to power robots for any physical task.
What they build
- General-purpose robot foundation models
- Learning algorithms for robot control
- Robotic systems and platforms
Known for
- Foundation model and system-building research
- Large-scale multimodal robot data operations
- Real-world fleet deployment and operations
- Prototype-to-production hardware engineering