Job Description
A Senior Staff Software Engineer specializing in perception fault architecture and validation, responsible for developing fault detection, handling, and fail-operational systems within autonomous driving software to ensure safety and reliability in Nuro's self-driving technology.
Key Responsibilities
- Identify faults within the autonomous software stack and refine fault handling criteria.
- Design fault and fail-operational architecture to support system robustness.
- Implement test methodologies for verification, validation, and fault injection.
- Contribute to maintaining and stress testing the autonomy software architecture for fail-operational capabilities.
- Develop tools and frameworks to inject faults and interpret simulation and testing results.
- Collaborate with development teams to extract metrics and performance indicators for system readiness.
- Support automated evaluation tools for analyzing test logs and contingency requirements.
Requirements
- At least 3 years of technical work experience in robotics software or a relevant area.
- Bachelor’s Degree or Master’s Degree candidate in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field.
- Strong programming and algorithmic problem solving skills in C and C++.
- Experience working in a team with strong software engineering practices.
- Highly collaborative with strong abilities to think and communicate analytically and effectively.
- Self-starter and fast learner with a passion for picking up new skills and approaching unstructured problems from first principles.
- At least 3 years of experience in multiple of the following areas: software development in robotics perception; Linux or Unix computer systems engineering including communication protocols, designing fault-tolerant systems, and atomicity and coordination of concurrent activities for complex autonomous software; 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 faults; identifying emergent behavior in a safety-critical complex system including interactions between modules; end-to-end functional decomposition, defining physical logical architectures, allocating functionality, and reliability analysis of safety-critical complex systems via STPA or other hazard analysis techniques; adaptive stress testing or probabilistic software diagnostics.
Benefits & Perks
Compensation/salary range between $176,400 and $319,720 depending on experience and qualifications
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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