Software Engineer, Robot Interfaces

Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.

As a Fullstack Software Engineer, you will build internal products that help Pi's research and operations teams move faster. You will work closely with operators, roboticists, researchers, and other engineers to turn physical workflows into reliable software.

Fullstack builds the internal software the rest of Pi runs on. Our users span the path from research intent to physical execution: researchers designing experiments and requesting data, Research Ops working across task design, environments, prototyping, and instructions, and Production Ops running collection, evals, and deployments across our lab, warehouse, and real-world sites.

• Strong fullstack engineering experience building production web applications and APIs, especially with React, TypeScript, and Python.

• Realtime web experience: WebRTC, WebSockets, streaming video, state synchronization, and the debugging that comes with all of it.

• Comfort with binary wire formats and schema-defined interfaces: protobuf, gRPC, or similar. Most of what these interfaces talk to is not a REST API.

• Experience shipping software that runs on machines you do not administer: on-prem or on-device deployment, degraded-network operation, versioning across a fleet.

• Strong UX instincts for high-stakes, high-frequency interfaces, where the user is standing up, under time pressure, and a mistake has physical consequences.

• Comfort designing workflows where people, hardware, and software have to function as one system.

• Strong product judgment, and experience working directly with users through ambiguous workflows and evolving requirements.

• Former founder, early employee, or other demonstration of comfort with ambiguity and solving hard problems end to end.

• Experience with teleoperation, robotics, or other robot-adjacent software.

• Experience with safety-critical or industrial systems (control room, medical device, aviation, automotive, or similar) where interface decisions carry real consequences.

• Hardware-adjacent background: firmware, embedded, device integration, or having shipped software alongside a physical product.

• Experience with workflow, dispatch, or scheduling systems that direct human work in the physical world.

• Experience with our specific stack: React, TypeScript, Python, Postgres, GCP, and Kubernetes.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.