Production Test Engineer

Physical Intelligence
San Francisco
Workplace: OnsiteFull timeFunction: QA, Test & Release EngineeringSkills: []

Build and own the architecture of a manufacturing software platform that powers assembly, flashing, provisioning, calibration, and final testing. Create technician-friendly, versioned workflows and local station software that securely exposes hardware capabilities to hosted runs. Implement firmware/binary delivery, observability, traceability, reliable offline behavior, authentication boundaries, and automated tests, collaborating with hardware and manufacturing teams to define quality checks and KPIs.

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FursaFursa
Physical Intelligence
Physical Intelligence
1 day ago

Production Test Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and own the architecture of a manufacturing software platform that powers assembly, flashing, provisioning, calibration, and final testing. Create technician-friendly, versioned workflows and local station software that securely exposes hardware capabilities to hosted runs. Implement firmware/binary delivery, observability, traceability, reliable offline behavior, authentication boundaries, and automated tests, collaborating with hardware and manufacturing teams to define quality checks and KPIs.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: QA, Test & Release Engineering

Key Responsibilities

  • •Own the architecture and development of the manufacturing software platform.
  • •Create technician-friendly, step-by-step workflows for assembly, flashing, provisioning, calibration, and final test, converting scripts and procedures into versioned operations.
  • •Develop local station software and workflow primitives for retries, timeouts, cancellation, resumability, acceptance criteria, and secure exposure of allowlisted hardware capabilities to hosted workflows.
  • •Build mechanisms for downloading, caching, verifying, and updating firmware and manufacturing binaries, and integrate workflows with inventory for registration, identities, and required metadata.
  • •Implement traceability and observability, design resilient behavior through temporary network failures, and partner on acceptance criteria, quality checks, KPI tracking, and automated tests for workflow and hardware-independent failures.

Key Requirements

Tech Stack:Linux

Company Brief

Physical Intelligence
Develops large-scale AI models and learning algorithms to enable general-purpose intelligence for robots and physically-actuated devices, aiming to power a wide range of real-world robotic tasks and applications.
Industry: Robotics
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2024
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn