Primary record

Technical Lead Manager, Autonomy Evaluation and Intelligence

Nuro Indexed employerMountain View, California (HQ) · Nuro HQ - Mountain View, CA
Source-hosted applyChecked 3h agoFull-Time
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Workplace

On-site

Employment

Full-Time

Published

Aug 11, 2026

Closes

No date supplied

The role

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 are looking for an Autonomy Leader to drive the technical roadmap for the systems that validate and verify the intelligence of the NuroDriver. In this role, you will lead the development of evaluation tooling that ensures our technology scales safely to millions of people. You will tackle real-world robotics challenges, bridging the gap between simulation and reality to improve everyday lives.

• Intelligent Agents: Design and deploy "smart" evaluation agents that simulate complex interactions.

• Intelligent Metrics: Design and deploy advanced algorithms that measure the cognitive performance of the ML models powering our self-driving car’s behavior, utilizing physics-based modeling and machine learning.

• Close the Learning Loop: Leverage these evaluation fram

Requirements

Department: Autonomy