Production Test Engineer

1 month ago

Responsibilities

Own the architecture and development of the manufacturing software platform.
Build step-by-step technician workflows for assembly, flashing, provisioning, calibration, and final testing.
Convert engineering scripts and manual procedures into versioned and repeatable manufacturing operations.
Develop secure local station software that exposes allowlisted hardware capabilities to hosted workflows.
Design workflow primitives for automated steps, instructions, retries, timeouts, cancellation, resumability, and acceptance criteria.
Build reliable systems for downloading, caching, verifying, and updating firmware and manufacturing binaries.
Integrate manufacturing workflows with inventory systems to register hardware, assign identities, and record metadata.
Establish traceability for operators, stations, devices, software versions, step results, durations, and test artifacts.
Debug issues across cloud services, Linux stations, networks, embedded devices, and test equipment.
Partner with manufacturing and hardware engineers to define acceptance criteria and automate quality checks.

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field, or equivalent practical experience.
5+ years of software engineering experience, preferably in manufacturing, robotics, hardware test, embedded systems, or fleet operations.
Strong Python experience and familiarity with Linux systems, services, permissions, packaging, and process management.
Experience building reliable web applications and APIs that orchestrate local or remote hardware.
Experience designing stateful workflows with retries, timeouts, resumability, cancellation, and failure recovery.
Familiarity with device provisioning, firmware flashing, OTA updates, calibration, or automated hardware testing.
Experience integrating with inventory, traceability, MES, ERP, or similar production systems.
Understanding of asynchronous jobs, idempotency, durable state, and distributed-system failure modes.
Experience with secure artifact distribution, authentication, authorization, and least-privilege hardware access.
Ability to diagnose issues across browsers, networks, operating systems, backend services, and physical devices.
Strong product judgment for technician-facing workflows and operational tooling.
Excellent cross-functional communication and project-management skills.
Bonus experience with robotics, computer vision, camera calibration, networking hardware, Raspberry Pi-class devices, Bazel, Kubernetes, or cloud infrastructure.

201-500 employees