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Physical Intelligence

Develops AI-driven robotic systems for industry

Build & Release Engineer

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Strong experience operating GitHub-centric development workflows at scale.
  • Deep familiarity with continuous integration and continuous delivery (CI/CD) systems and build reliability challenges.
  • Experience with Bazel or similar large-scale build systems.
  • Proficiency in cloud infrastructure, Kubernetes, and Terraform.

Responsibilities

  • Design and operate GitHub-based CI/CD systems, including GitHub Actions, checks, and workflows, with a focus on reliability, speed, and signal quality.
  • Own and evolve Bazel-based build and test infrastructure supporting C++, Python, Rust, and TypeScript development.
  • Build and maintain Kubernetes-based services and cloud infrastructure using Terraform and infrastructure as code.
  • Replace manual release, provisioning, and access workflows with automated, GitHub-integrated systems.
  • Reduce flaky builds, failed deployments, and CI bottlenecks that slow engineering velocity.
  • Partner with engineers across the stack to make builds, tests, and deployments predictable and fast.

Desired Qualifications

  • Experience improving CI throughput for hundreds of engineers.
  • Expertise in Bazel optimization, including remote caching, test sharding, and incremental builds.
  • Security- or information-security-adjacent infrastructure automation experience.
  • Background in internal developer productivity or platform teams.

About the Company

Physical Intelligence

Develops AI-driven robotic systems for industry

Physical Intelligence develops AI-powered robotic systems by creating general-purpose AI models and learning algorithms to control physically actuated devices in the real world, serving industries like manufacturing, healthcare, and logistics. Its approach uses foundational models and learning-based control software that runs on robots to sense, decide, and act in real environments, often integrated with hardware and partner networks. The company differentiates itself by focusing on foundational AI methods for physical robotics and partnering with high-profile investors to support both R&D and commercialization across multiple industries. Its goal is to bring AI-driven robotic systems into real-world operations to boost efficiency and productivity through scalable, learnable robotics.

Company size
201-500
Company stage
Late Stage VC
Total funding
$2.1B
Headquarters
San Francisco, CA
Founded
2024

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