Skip to content
← Physical Intelligence

Production Test Engineer

Physical Intelligence · San Francisco

CHECKED 14H AGO

Roboticsonsitesenior
Apply on the lab’s site ↗

At a glance

Highlights

  • Own the manufacturing software platform powering PI's robotic systems.
  • Turn prototype scripts into safe, guided workflows for technicians.
  • Build traceability for devices, test results, and manufacturing history.

Ideal candidate

A systems-minded builder who loves making complex hardware processes simple and reliable for operators, thriving at the intersection of software, hardware, and manufacturing.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or 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 building reliable web applications and APIs used to orchestrate local or remote hardware
  • Experience designing stateful workflows with retries, timeouts, resumability, cancellation, and failure recovery
  • Familiarity with device provisioning, firmware flashing, OTA updates, calibration, or automated hardware testing
  • Experience integrating with inventory, traceability, MES, ERP, or similar production systems
  • Strong understanding of asynchronous jobs, idempotency, durable state, and distributed-system failure modes
  • Experience with secure artifact distribution, authentication, authorization, and least-privilege hardware access
  • Ability to diagnose issues across browsers, networks, operating systems, backend services, and physical devices
  • Strong product judgment for technician-facing workflows and operational tooling
  • Excellent cross-functional communication and project-management skills

Lab profile

About Physical Intelligence

Developing general-purpose AI foundation models to power robots for any physical task.

What they build

  • General-purpose robot foundation models
  • Learning algorithms for robot control
  • Robotic systems and platforms

Known for

  • Foundation model and system-building research
  • Large-scale multimodal robot data operations
  • Real-world fleet deployment and operations
  • Prototype-to-production hardware engineering
More about Physical Intelligence →
Apply on the lab’s site ↗