Senior Systems Engineer, Assisted Autonomy
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
The role offers significant value within the safety-critical systems field, combined with substantial compensation that attracts seasoned professionals.
- Salary range: $167,200–$303,050/year
- Significant impact on safety in autonomous systems
- Opportunities for technical advancement in a growing field
- Requires a solid understanding of safety-critical engineering practices
Pros
- Competitive salary range of $167,200 to $303,050 per year
- Critical role in ensuring safety in autonomous technology deployment
- Attractive opportunities for advancement in technical and systems engineering
Cons
- High demands for experience in safety-critical industries
- Potential for long and irregular work hours given project timelines
- Requires rigorous attention to detail and comprehensive risk analysis
Who it's for
Senior/Staff • Hybrid or onsite, depending on project requirements
Good fit
- Seasoned systems engineers in safety-critical industries
- Candidates skilled in assessing risks and developing requirements
- Professionals interested in autonomous technology safety
Not recommended for
- Newcomers without industry experience
- Those averse to high-pressure project deadlines
- Candidates desiring roles with minimal oversight on safety compliance
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 Role
As a Senior/Staff Systems Engineer in Assisted Autonomy, you will work closely with the autonomy software, remote assistance, and operations teams to show that the combination of Autonomy and Remote Assistance achieves our system safety goals. You will be responsible for ensuring that safety risks related to the behavior and capabilities of Autonomy and Remote Assistance in the pursuit of mission success are identified and managed by the system and Operations. You will work closely with engineers, product managers, and operations to facilitate system design, drive validation efforts, and communicate risks.
About the Work
- Manage system goals, capabilities, and safety claims by understanding the capabilities of Autonomy and Remote Assistance and interfacing with cross-functional leads.
- Support the safety case by identifying, documenting, and communicating Autonomy safety claims and decomposed system requirements.
- Apply one or more analytical techniques for risk identification such as Hazards and Risk Analysis (HARA) and STPA.
- Write, manage, and communicate behavioral requirements for the system, applicable subsystems, and operations; manage the assignment of behavioral competency responsibilities across the system and operations.
- Design experiments and perform trade studies to assess adequacy and cost of competing technical solutions for substantiating safety claims, including but not limited to autonomy architecture, mitigations, and end-to-end testing; make strategic recommendations based on the results.
- Support the design and architecture by infrastructure and autonomy engineers of the remote assistance system, factoring in constraints from infrastructure, autonomy, operator performance as well as constraints from validation/test ability (e.g. simulation).
- Drive the validation strategy for remote assistance, delegating to software engineering, hardware engineering, and operations where appropriate.
- Communicate design gaps and residual risks effectively to a cross-functional product development team.
About You
- 5+ years of technical work experience in a relevant area, of which 3+ years should be in robotics SW.
- Bachelor’s Degree, Master’s Degree, or Doctoral Degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or related field.
- Deep understanding of how robotic systems work and ability to leverage this knowledge to build requirements and tests for autonomous vehicles.
- Experience working in a safety-critical industry (e.g. robotics, automotive, aviation/aerospace, medical devices) for a complex robotic system, specifically when there is a human in the loop.
- Working knowledge of and ability to apply systems engineering concepts of requirements, verification, and validation.
- Hands-on experience with STPA and ISO 21448.
- Strong Python programming and algorithmic problem-solving skills.
- Highly collaborative in nature with strong abilities to think and communicate analytically and effectively, and the ability to build good working relationships.
Bonus Points
- Background in autonomous vehicles ideally with L4 AV deployment.
- Experience writing safety claims and system requirements for SAE L2/L3/L4 systems to operate safely.
- Familiarity with ISO 8800.
- Experience with simulation of autonomous vehicles applied to verification and validation.
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. #LI-DNP
