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Physical Intelligence
San Francisco, California, United States
Source: Physical Intelligence careers · View original posting
From Physical Intelligence's posting. “We” and “our” refer to the employer.
Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically actuated devices of the future.
We’re looking for a Production Test Lead to build the software foundation for manufacturing Physical Intelligence’s robotic systems at increasing volume.
You’ll own the systems that technicians use to flash firmware, provision devices, configure hardware, execute calibration and test procedures, and record manufacturing results. 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. You will work closely with those teams to turn prototype scripts and manual procedures into secure, observable, versioned production tooling.
In this role you will
Own the architecture and development of PI’s manufacturing software platform.
Build technician-friendly, step-by-step workflows for assembly, flashing, provisioning, calibration, and final test.
Convert engineering scripts and manual procedures into versioned, repeatable manufacturing operations.
Develop local station software that securely exposes allowlisted hardware capabilities to hosted manufacturing workflows.
Design workflow primitives for automated steps, operator instructions, retries, timeouts, cancellation, resumability, and acceptance criteria.
Build reliable mechanisms for downloading, caching, verifying, and updating firmware and manufacturing binaries.
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.
Partner with manufacturing and hardware engineers to define acceptance criteria and automate quality checks.
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