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Physical Intelligence is seeking a Production Test Engineer to own the architecture and development of the company's manufacturing and hardware-test infrastructure. This role sits at the intersection of software engineering and hardware manufacturing, collaborating deeply with hardware engineering, runtime, embedded software, infrastructure, inventory, and manufacturing teams.
You will be responsible for building the manufacturing software platform that powers Physical Intelligence's robotics and AI hardware production. Key responsibilities include designing and implementing technician-friendly, step-by-step workflows for assembly, flashing, provisioning, calibration, and final test. You'll convert engineering scripts and manual procedures into versioned, repeatable manufacturing operations that can scale across production.
The role requires developing local station software that securely exposes allowlisted hardware capabilities to hosted manufacturing workflows, and designing workflow primitives for automated steps, operator instructions, retries, timeouts, cancellation, resumability, and acceptance criteria. You'll build reliable mechanisms for downloading, caching, verifying, and updating firmware and manufacturing binaries, and integrate manufacturing workflows with inventory systems to register hardware, assign identities, and record required metadata.
Establishing traceability and observability is critical: you'll implement systems that allow engineers to inspect production progress and diagnose failures remotely, tracking operators, stations, devices, software versions, step results, durations, and captured test artifacts. You'll design systems that continue operating through temporary network failures and synchronize results when connectivity returns, while implementing safe authentication, authorization, and privilege boundaries for software controlling local hardware.
Additional responsibilities include developing automated tests for workflow behavior and hardware-independent failure handling, debugging problems across cloud services, local Linux stations, networks, embedded devices, and test equipment, and partnering with manufacturing and hardware engineers to define acceptance criteria and automate quality checks. You'll define and track manufacturing-software KPIs such as station availability, workflow completion rate, first-pass yield, retry rate, and failure category, and establish technical standards that allow new manufacturing workflows and hardware products to share a common platform without becoming tightly coupled.
