- Robot type
- Warehouse and Logistics
- Location
- San FranciscoCaliforniaUSA
- Job type
- Business Operations
- Posted
- Jul 27, 2026
HIL Test / Automation Engineer
Job description
We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids.
Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford’s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo;
Job responsibilities
- Develop and maintain the HIL test environment combining physical hardware (ECUs, sensors, motor controllers) with simulated dynamics for stress and fault-injection testing.
- Build and maintain automated test frameworks, reporting, dashboards, and the AI analyzer; keep CI jobs on the HILs green.
- Expand the 30+ module self-tests and improve the associated data pipeline; own regression and smoke test coverage.
- Integrate high-speed DAQ and bus tracing (CAN, I2C, Ethernet) for deep hardware and firmware diagnostics.
- Partner with robot SW and Nimble Health to improve the simulation models used on the HILs.
- Lead physical pick/pack testing: evaluate and optimize SKU pickability, grip reliability, and placement accuracy
Job requirements
- BS or MS in Electrical, Computer, or Robotics Engineering.
- 1-3+ years validating embedded systems, control software, or robotics firmware; HIL experience strongly preferred.
- Strong Python (and Rust or C++) for automated test scripts and analysis; CI/CD experience (e.g., Jenkins).
- Understanding of digital/analog I/O and robotics comms (CAN, Ethernet, USB, Serial); MATLAB/Simulink a plus.
- Comfortable with requirements traceability and defect management.
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