The TeamThis 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.
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.
- 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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
