Physical Intelligence

Physical Intelligence

Production Test Engineer

San Francisco · Senior · Contract

Sponsorship not specifiedDetected 74 days ago
PythonBackend DevelopmentAlgorithmsKubernetesLinuxComputer VisionERPEmbedded SystemsRoboticsElectrical EngineeringHardware DesignCommunication

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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.
  • You'll translate evolving engineering processes into safe, guided workflows that can be executed consistently without requiring technicians to use a command line or understand the underlying implementation.
  • This role sits at the intersection of runtime software, hardware engineering, manufacturing, test, infrastructure, and inventory systems.

Nice to have

  • Convert engineering scripts and manual procedures into versioned, repeatable manufacturing operations.
  • Integrate manufacturing workflows with inventory systems to register hardware, assign identities, and record required metadata.
  • Establish traceability for operators, stations, devices, software versions, step results, durations, and captured test artifacts.
  • Debug problems across cloud services, local Linux stations, networks, embedded devices, and test equipment.
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field, or equivalent practical experience.
  • 5+ years of software engineering experience, preferably involving manufacturing, robotics, hardware test, embedded systems, or fleet operations.
  • Strong Python experience and familiarity with Linux systems, services, permissions, packaging, and process management.
  • Experience designing stateful workflows with retries, timeouts, resumability, cancellation, and failure recovery.

This listing is sourced directly from Physical Intelligence's careers page and normalized into a canonical job model.