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
We’re a team of high-output generalists where ML and systems engineering converge. This is not a "run the models" role. We reason from first principles about why a perception model learns what it learns, close the gaps that cap its performance, and raise the bar on the data and evaluation loop that drives autonomy. Your work will directly impact how autonomous systems understand rare scenarios, adapt to global geographies, and scale safely.
About the work
You’ll solve autonomy’s hardest data challenges through applied ML and systems rigor:
- Diagnose why perception models underperform on the long tail, and turn that into targeted data and training priorities.
- Design eval metrics and regression detection that tell us whether a model is ready.
- Curate and clean training data for segmentation and occupancy; hunt the data problems that silently cap performance.
- Run controlled ML experiments and ablations; cleanly separate data problems from model problems.
- Debug the full data → train → eval → autonomy path, across ML and infra boundaries.
About You
- BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area.
- 4+ years of industry software engineering experience with Python fluency and C/C++ familiarity. Proven ability to lead cross-functional technical projects from design to completion.
- You've implemented core ML from first principles (not only called framework APIs), and can reason about why a model learns what it does.
- Hands-on perception experience with detection, segmentation, occupancy, 3D, or sensor data.
- You're interested in solving data problems.
Bonus Points
- Occupancy / BEV; sensor modalities (lidar, camera, radar).
- Familiarity working with synthetic or autonomous driving data.
- Experience building ML systems for robotic applications
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930.00 and $291,150.00/year 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
Nuro
Autonomous Vehicles · Series E+ · Mountain View, USA