Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Aug 15, 2026. Π scores B on the Alion truth index.
Join Physical Intelligence as a Production Test Engineer, where you'll lead the development of the software foundation for manufacturing robotic systems. You'll create technician-friendly workflows, convert engineering scripts into repeatable operations, and integrate manufacturing workflows with inventory systems. This role requires strong product judgment, experience with secure artifact distribution, and a background in software engineering, preferably in manufacturing or robotics.
Missions
- Ownership of the architecture and development of the manufacturing software platform, including building technician-friendly workflows for assembly, flashing, provisioning, calibration, and final testing.
- Translation of 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.
- Collaboration with manufacturing and hardware engineers to define acceptance criteria and automate quality checks, ensuring the reliability and efficiency of the manufacturing process.
Profil recherché
- Strong product judgment for technician-facing workflows and operational tooling- Experience with secure artifact distribution, authentication, authorization, and least-privilege hardware access
- Experience integrating with inventory, traceability, MES, ERP, or similar production systems
- Experience designing stateful workflows with retries, timeouts, resumability, cancellation, and failure recovery
- Ability to diagnose issues across browsers, networks, operating systems, backend services, and physical devices
- Familiarity with device provisioning, firmware flashing, OTA updates, calibration, or automated hardware testing
- 5+ years of software engineering experience, preferably involving manufacturing, robotics, hardware test, embedded systems, or fleet operations
- Excellent cross-functional communication and project-management skills
- Strong understanding of asynchronous jobs, idempotency, durable state, and distributed-system failure modes
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field, or equivalent practical experience
- Strong Python experience and familiarity with Linux systems, services, permissions, packaging, and process management
- Experience building reliable web applications and APIs used to orchestrate local or remote hardware
- Experience with robotics, computer vision, camera calibration, networking hardware, Raspberry Pi-class devices, Bazel, Kubernetes, or cloud infrastructure

