Physical Intelligence
Software Engineer, AI Productivity
San Francisco
Sponsorship not specifiedDetected 35 days ago
TypeScriptPythonReactBackend DevelopmentAlgorithmsPostgreSQLGCPLLMsAgentic AIRoboticsResearchCommunication
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Physical Intelligence is bringing general-purpose AI into the physical world.
- Your focus will be AI tooling: making AI agents, assistants, integrations, and automation useful across the company.
- Empower researchers to extract signals and iterate quickly and confidently.
Responsibilities
- 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.
- Make AI agents ergonomic: Own workflows for cloud agents, agent management, and internal automation that are easy to use, easy to monitor, and easy to trust.
- Build tools for engineering, research, and operational velocity: Help engineers use AI to write, test, debug, review, and validate code faster.
- Work with operations and recruiting to understand their workflows and build tools that give them leverage.
- Own best practices and enablement: Create playbooks, examples, onboarding, office hours, demos, and shared workflows that help people learn from the best AI users at π.
- Partner on security and data access: Ensure AI tools have the right access to be useful while respecting data boundaries, permissions, and company policies.
- Evaluate build vs. buy: Maintain a strong perspective on the AI tooling ecosystem, evaluate commercial tools, and recommend what π should adopt.
- Technical flexibility: ability to build backend services, internal tools, integrations, automation, and user interfaces.
- Experience building developer tools, agents, or automation platforms.
Requirements
- Experience with our specific stack: React, TypeScript, Python, Postgres, ClickHouse, GCP, and Kubernetes.
Nice to have
- 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.
- 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.
Company info
- 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.
- 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.
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