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Software Engineer, Fault Response Verification

nuro

$132,300 - $198,450
Dec 11, 2025
Mountain View, CA, US
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Nuro is looking to solve the problem of making autonomy accessible to all by developing a scalable driver that combines cutting-edge AI with automotive-grade hardware, and the role of Software Engineer, Fault Response Verification is key to achieving this goal.

Requirements

  • Strong programming and algorithmic problem solving skills in Python or C++/C.
  • Experience developing ML-based or heuristic-based evaluation methods to assess system performance.
  • Analyzing and managing FDIR (fault detection, isolation, recovery) for the software stack on semi-autonomous or autonomous vehicles or equipment.
  • Defining requirements using data-driven and first-principle techniques.
  • Implementing test coverage for requirements.
  • Adaptive stress testing or probabilistic software diagnostics.
  • Software development in task level or behavior level robotics planning.

Responsibilities

  • Dive into the system-level implications of Nuro’s autonomy architecture and software to understand inter-dependency of failure modes with respect to the fault response.
  • Define requirements for fault response with decomposition through the autonomy software and hardware architecture.
  • Drive fault-centric validation concepts from prototype to production to test.
  • Interpret results from curated amounts of simulation, on-road, closed course testing to assess mission capabilities and safety with respect to faults.
  • Work closely with autonomy developers to extract high-impact metrics and performance indicators that will test our robots’ readiness to drive autonomously on public roads in the event of degraded states of software.
  • Contribute to tooling for automated evaluation of issues in test logs that check for satisfaction of contingency requirements.

Other

  • 3+ years of technical work experience in robotics SW or relevant area.
  • Bachelor’s Degree or Master’s Degree candidate in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field.
  • Highly collaborative in nature with strong abilities to think and communicate analytically and effectively.
  • Self starter and fast learner - you should be passionate about picking up new skills and approaching unstructured problems from first principles.
  • At least 2 years of experience in multiple of the specified areas