Software Engineer, AI Productivity
Physical Intelligence · San Francisco
CHECKED 14H AGO
Roboticsonsite
At a glance
Highlights
- Build internal AI agents, assistants, and automation adopted company-wide.
- Make cloud agents ergonomic, monitorable, and trusted for research and ops.
- Power general-purpose robotics by boosting engineering and research velocity.
Ideal candidate
A product-minded builder obsessed with AI tooling who thrives partnering across engineering, research and ops. You love turning messy workflows into trusted automation and driving adoption through teaching.
Requirements
- Strong software engineering fundamentals with ability to ship quickly
- Hands-on fluency with AI coding workflows and modern LLM-based tools
- Ability to build backend services, internal tools, integrations and UIs
- Strong product judgment and taste for developer experience
- Ability to learn unfamiliar systems quickly across technical domains
- Good judgment around security, permissions, data access and safe rollout
- Clear communication, documentation and teaching ability
- Comfort driving adoption across diverse teams
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