Software Engineer, AI Productivity
Physical Intelligence3 hours ago
Responsibilities
- Own AI tooling adoption across the company by identifying opportunities, building or integrating solutions, teaching teams, and driving sustained use.
- Build backend services, scripts, workflows, user interfaces, LLM integrations, and agent infrastructure.
- Develop ergonomic, monitorable, and trustworthy workflows for cloud agents, agent management, and internal automation.
- Build tools that help engineering, research, operations, and recruiting teams work more effectively.
- Create playbooks, examples, onboarding materials, office hours, demos, and shared workflows for AI enablement.
- Partner on security, permissions, data access, and safe rollout of AI tools.
- Evaluate commercial AI tools and recommend build-versus-buy decisions.
- Define and measure adoption, productivity, and satisfaction metrics.
Requirements
- Strong software engineering fundamentals and ability to ship quickly.
- Hands-on fluency with AI coding workflows and modern LLM-based tools.
- Ability to build backend services, internal tools, integrations, automation, and user interfaces.
- Strong product judgment and interest in developer experience and internal tooling.
- Ability to work empathetically and communicate across engineering, research, operations, recruiting, and other teams.
- Ability to learn unfamiliar systems quickly and operate across technical domains.
- Good judgment around security, permissions, data access, and safe tool rollout.
- Clear communication, documentation, and teaching skills.
- Comfort driving adoption in addition to writing code.
- Preferred experience building developer tools, agents, or automation platforms.
- Preferred experience building internal tools for research, robotics, or operationally intensive problems.
- Preferred experience with React, TypeScript, Python, Postgres, ClickHouse, GCP, and Kubernetes.
Tech Stack
Categories
About Physical Intelligence
Physical Intelligence builds general-purpose AI for the physical world, developing foundation models and full-stack robotic systems for robots and other actuated devices. The privately held company was founded in 2024 and focuses on taking designs from prototype to high-volume production, including actuation, mechatronics, and manufacturing process development. Its work aims to power today’s robots and future hardware across industries.