Software Engineer, AI Productivity

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 Software Engineer focused on AI productivity, you will build and roll out the tools that help us use AI effectively across the company. You will work closely with engineering, research, operations, people, and other teams to understand how people work, identify where AI can create leverage, and turn those opportunities into reliable internal tools and workflows.

Runtime owns core systems that help π’s operations and research teams move quickly and reliably. This role will sit in Runtime and work alongside engineers focused on build systems, infrastructure, and developer productivity.

Your focus will be AI tooling: making AI agents, assistants, integrations, and automation useful across the company. You will partner deeply with teams across PI to understand their workflows, build tools that fit how they work, and drive adoption until those tools become part of the operating rhythm of the company.

- Strong software engineering fundamentals and the ability to ship quickly.

- Deep excitement about AI tools and strong opinions about how they should be used.

- Hands-on fluency with AI coding workflows and modern LLM-based tools.

- Technical flexibility: ability to build backend services, internal tools, integrations, automation, and user interfaces.

- Strong product judgment and taste for developer experience and internal tooling.

- High empathy and excitement to work across engineering, research, operations, recruiting, and other teams.

- Ability to learn unfamiliar systems quickly and operate across many technical domains.

- Good judgment around security, permissions, data access, and safe tool rollout.

- Clear communication, documentation, and teaching ability.

- Comfort driving adoption, not just writing code.

- Experience building developer tools, agents, or automation platforms.

- Experience building internal tools specifically for research, robotics, or operationally-intensive problems.

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

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