Senior/Staff Controls Engineer
Who We Are
Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us — that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.
About The Role
Controller is the critical link between Nuro Driver's upstream autonomy stack and physical vehicle platform — translating planned trajectories into safe, precise, real-world motions. As a Senior/Staff Controls Engineer, you'll design and deploy production controls software that powers L4 autonomous driving across an expanding operational design domain, from parking lots to highways, in all weather and road conditions. You'll work alongside world-class engineers across autonomy, hardware, and systems to solve problems that don't have textbook answers and see your work running on real vehicles globally.
Responsibilities
- Develop robust, reliable, and optimized production-level control software following safety standards (ISO 26262).
- Develop seamless interactions between planner and controller and advanced control strategies for expanded ODD including parking lot maneuvers through highway driving under various weather conditions and road surfaces.
- Integrate controls stack with new vehicle platforms.
- Explore Machine Learning for vehicle dynamics and controls to improve vehicle performance, drivability, and reduced time for new vehicle platform bring-ups.
- Collaborate closely with engineers across hardware, base software, upstream autonomy, vehicle testing, and system teams.
Qualifications
- MS or Ph.D. (preferred) in mechanical, mechatronics, electrical, aerospace, robotics, or a closely related field.
- 5+ years of industry experience, including 3+ years focusing on developing and deploying L2+ or higher level automated driving controls software at scale.
- Deep knowledge of vehicle dynamics, controls theory, and control strategy development and testing.
- Implementation experience with classical and modern controls methods and/or ML for Controls.
- Strong embedded C (preferred) or C++ programming skills.
- Strong foundation in math (geometry, calculus, probability) and physics (kinematics, dynamics), and analytical skills.
- Comfortable working with GenAI-assisted engineering workflows (e.g., Claude Code, Gemini, Cursor).
- Proven ability to collaborate within and across teams.
- Effective oral and written communication skills.
- Passionate about solving real-world challenging autonomous driving problems.
- Self-starter with strong drive, accountability, and the ability to adapt quickly to new problems.
Pay
For this position, the reasonably expected pay range is between $193,930 and $352,290/year for the level(s) 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.
Benefits
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. This position is eligible for a competitive benefits package.