Production Test Engineer

Physical Intelligence•San Francisco, CA

About The Position

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. The Team This role is part of the team building PI’s manufacturing and hardware-test infrastructure. It will collaborate deeply with hardware engineering, runtime, embedded software, infrastructure, inventory, πBuild, and πFab. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Requirements

Experience with manufacturing software platforms.
Ability to build technician-friendly workflows for assembly, flashing, provisioning, calibration, and final test.
Experience converting engineering scripts and manual procedures into repeatable manufacturing operations.
Proficiency in developing local station software.
Knowledge of workflow primitives for automated steps, operator instructions, retries, timeouts, cancellation, resumability, and acceptance criteria.
Experience building mechanisms for downloading, caching, verifying, and updating firmware and manufacturing binaries.
Familiarity with integrating manufacturing workflows with inventory systems.
Understanding of traceability for operators, stations, devices, software versions, step results, durations, and captured test artifacts.
Experience building observability for production progress and failure diagnosis.
Knowledge of designing systems that operate through temporary network failures.
Experience implementing authentication, authorization, and privilege boundaries for hardware control software.
Proficiency in developing automated tests for workflow behavior and hardware-independent failure handling.
Ability to debug problems across cloud services, local Linux stations, networks, embedded devices, and test equipment.
Experience partnering with manufacturing and hardware engineers to define acceptance criteria and automate quality checks.
Ability to define and track manufacturing-software KPIs.
Experience establishing technical standards for shared manufacturing platforms.

Responsibilities

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.
Build observability that allows engineers to inspect production progress and diagnose failures remotely.
Design systems that continue operating through temporary network failures and synchronize results when connectivity returns.
Implement safe authentication, authorization, and privilege boundaries for software that controls local hardware.
Develop automated tests for workflow behavior and hardware-independent failure handling.
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.
Define and track manufacturing-software KPIs such as station availability, workflow completion rate, first-pass yield, retry rate, and failure category.
Establish technical standards that allow new manufacturing workflows and hardware products to share a common platform without becoming tightly coupled.