Senior/Staff Systems Engineer, Autonomy Verification
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
Strong opportunity for experienced engineers focused on autonomy verification of AI systems.
- Salary range: $167,200 to $303,050/year
- Critical role in ensuring safety for autonomous systems
- Collaboration across diverse engineering expertise
- Requires substantive autonomous vehicle experience
Pros
- Competitive salary range ($167,200 to $303,050/year)
- Engagement with critical safety aspects of autonomous systems
- Collaborative environment across multiple engineering disciplines
- Proven impact on real-world autonomous technology deployment
Cons
- High level of responsibility for safety verification
- Potential for demanding project timelines
- Overlapping technical domains may require diverse knowledge
Who it's for
Senior / Lead • Office-based in Mountain View, CA
Good fit
- Seasoned engineers with expertise in autonomous vehicle validation
- Candidates with backgrounds in safety-critical engineering
- Professionals motivated to influence AI safety standards
Not recommended for
- Entry-level candidates without relevant experience
- Individuals seeking roles focused solely on individual contributions
- Those preferring less challenging technical environments
Motivation fit
Key skills
About the job
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 Senior/Staff Systems Engineer working on Autonomy Verification, you are responsible for verifying that the behavior of the Nuro Driver is safe to deploy in our target ODD. This requires prior experience with the development or validation of autonomous systems, and a collaborative nature to work closely with a variety of teams across Nuro: Autonomy Software, Simulation, Product, and Operations. You will have end-to-end ownership from requirements definition, metric implementation, and test strategy development.
About the Work
- Create requirements for the behavior of an autonomous system, ensuring safe operation within its ODD and compliance with the rules of the road.
- Develop generalizable behavior models and metrics to verify that the autonomous system satisfies these requirements. Leverage a combination of existing metrics in safety literature and ML-driven models for this.
- Propose and leverage diverse test strategies - synthetic and log simulation, onroad logs, closed course testing, third-party accident reconstructions - to verify requirements.
- Quantify coverage of the tests for our ODD, ensuring simulation realism and relevance for deployment.Link the results from the tests as evidence to support the Autonomy Safety Case.
- Collaborate closely with Behavior, Perception, Data Science, Product, Legal and Public Trust teams while developing acceptance criteria for metrics and tests.
- Partner with simulation infrastructure and test integration teams to set up automated verification workflows.
About You
- 5+ years of technical work experience in a relevant area with 3+ years of experience with development or validation of autonomous vehicles/robotic systems.
- Experience creating behavior requirements for SAE L2/L3/L4 or other robotic systems to operate safely within its ODD.
- Experience with simulation and real-world testing of autonomous systems.
- Strong understanding of the autonomy architecture - how sensing, localization, perception, prediction, behavior, and control modules interact.
- Hands-on software experience, with the ability to code in Python or C++.
- Highly collaborative in nature, with strong abilities to think and communicate analytically and effectively.
Bonus Points
- Background in autonomous vehicles ideally with L4 AV deployment.
- Prior experience building computational models for driving behavior or ML based metrics for behavior evaluation.
- Familiarity with safety standards and methodologies like STPA, ISO-21448, ISO 8800.
- Experience developing a safety case or compiling evidence supporting a safety case in a structured manner.
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $167,200 and $303,050 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.
