Production Test Engineer

Physical Intelligence; United States; Presencial; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

Physical Intelligence is seeking a Production Test Lead to build the software foundation for manufacturing its robotic systems at increasing volume. You will own the systems used to flash firmware, provision devices, configure hardware, and record manufacturing results, turning scripts into secure, observable production tooling.

You will work across runtime software, hardware engineering, manufacturing, test, and inventory to turn prototype procedures into scalable production workflows with

Formación

• Bachelor’s degree in CS/CE/Robotics or equivalent experience.
• 5+ years of software engineering experience, preferably in manufacturing or robotics.
• Strong Python experience and Linux systems familiarity.
• Experience building web apps and APIs to orchestrate hardware.
• Experience designing stateful workflows with retries, timeouts, or resumability.
• Familiarity with device provisioning, OTA updates, or hardware testing.
• Experience integrating with inventory/production systems.
• Knowledge of asynchronous jobs, durable state, and failure modes.
• Security-focused artifact distribution and least-privilege access.

Responsabilidades

• Own the architecture and development of PI’s manufacturing software platform.
• Create technician-friendly workflows for assembly, flashing, provisioning, and calibration.
• Translate scripts and procedures into versioned, repeatable operations.
• Develop local station software exposing hardware capabilities to workflows.
• Design workflow primitives with retries, timeouts, cancellations, and criteria.
• Implement firmware and manufacturing binary distribution and updates.
• Integrate workflows with inventory systems and record metadata.
• Establish traceability for operators, stations, devices, and test artifacts.
• Debug issues across cloud services, Linux stations, networks, and devices.
• Collaborate with hardware engineers to define acceptance criteria and QA.

Conocimientos

Python

Linux

APIs

Distributed systems

Robotics

Cloud infrastructure

Raspberry Pi

Kubernetes

Bazel

Educación

Bachelor’s degree in CS/CE/Robotics

Herramientas

Bazel

Kubernetes

Raspberry Pi

Cloud infrastructure

Descripción del empleo

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.

We’re looking for a Production Test Lead to build the software foundation for manufacturing Physical Intelligence’s robotic systems at increasing volume.

You’ll own the systems that technicians use to flash firmware, provision devices, configure hardware, execute calibration and test procedures, and record manufacturing results. You’ll translate 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.

This role sits at the intersection of runtime software, hardware engineering, manufacturing, test, infrastructure, and inventory systems. You will work closely with those teams to turn prototype scripts and manual procedures into secure, observable, versioned production tooling.

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.

• 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.

What we hope you'll bring

• 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 involving 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 used to 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.

• Strong 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 points if you have

• Experience with robotics, computer vision, camera calibration, networking hardware, Raspberry Pi-class devices, Bazel, Kubernetes, or cloud infrastructure.

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