Software Engineer, Fault Response Verification at Nuro LLC

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

198450.0

Posted On

25 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Robotics Software, Programming, Algorithmic Problem Solving, Python, C++, Software Engineering Practices, Collaboration, Analytical Thinking, Self Starter, Machine Learning, Fault Detection, Requirements Definition, Test Coverage, Stress Testing, Probabilistic Diagnostics

Industry

Software Development

Description

Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future. About the Team The Systems Engineering team is responsible for the requirements, architecture, and validation of autonomous driving capabilities across engineering disciplines. This includes designing performance metrics, evaluation methods, and criteria for success, which the team then drives cross-functional via requirement definition and system validation. Systems Engineering works at the intersection of hardware, software, and robot operations, with a deep understanding of technologies in all three. We are a small, high-impact team that sets the checkpoints for autonomy deployment. About the Role As a Software Engineer, Fault Response Verification you will work very closely with the Autonomy development, eval infrastructure, and data science teams. You will partner closely with our Autonomy software engineering team to define system level behavior requirements when a fault is present, implement metrics to assess requirement violations, build novel validation tooling and pipelines to achieve integration into our Safety Case and risk assessment frameworks, and contribute to risk quantification. As a key part of Nuro's systems approach, you will contribute to maintaining Autonomy’s fault-centric architecture and stress test the autonomy software stack from system level down to modules through deterministic and probabilistic software-driven techniques towards a fail-operational system. Your work is expected to have short term impact in our next deployments, as well as long term impact on autonomy feature roadmapping and Nuro’s scaled fleet operations. About the Work 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. About You 2+ 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. Strong programming and algorithmic problem solving skills in Python or C++/C. Technically fluent and experienced working in a team with strong software engineering practices. 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. You must have at least 2 years of experience in multiple of the following (not necessarily in industry): Software development in task level or behavior level robotics planning. 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. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $132,300 and $198,450 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Responsibilities

As a Software Engineer, Fault Response Verification, you will define system-level behavior requirements for fault scenarios and implement metrics to assess requirement violations. You will also contribute to validation tooling and pipelines for integration into safety frameworks.