Backed by General Catalyst, Khosla and Sequoia.
About the role
- Own AI tooling adoption across π: Identify where AI tools can improve velocity, build or integrate the right solutions, teach teams how to use them, and drive adoption. - Build internal AI tooling and integrations: Build backend services, scripts, workflows, user interfaces, LLM integrations, and agent infrastructure.
More about this role
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...
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