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Nimble Robotics

Robot type
Warehouse and Logistics
Location
San FranciscoCaliforniaUSA
Job type
Manufacturing
Posted
Jul 27, 2026
Full-time

Robot SW Test 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

  • Design, develop, and maintain the full robot-stack regression suite: happy-path plus fault-injection and recovery testing across SW modules, HIL, and SW/HW interfaces.
  • Build automated integration tests and logged-data replay/scenario suites that catch performance drift across software and model updates before deployment.
  • Own test case management and traceability; define pass/fail criteria and triage failures with robotics SW, embedded, and HIL owners.
  • Integrate regression into CI so releases are validated at both the SW and full-robot level ahead of fleet rollout.
  • Partner with members of Systems Integration team on HIL coverage and with deployment teams to reproduce and prevent field-reported regressions.

Job requirements

  • BS or MS in Computer Science, Robotics, Electrical/Computer Engineering, or a related field.
  • 3+ years in software test, robotics or embedded validation, or test automation (senior preferred).
  • Strong programming in Python and Rust (or C++); experience building automated test frameworks and CI pipelines.
  • Familiarity with robotics/embedded middleware (ROS/ROS2 or custom control frameworks), fault injection, and logged-data replay.
  • Rigorous about requirements traceability and defect management.

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