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 Work
- Lead a prioritized cross-module workstream and related architecture pilot from problem definition through implementation, rollout, and measurement.
- Design explicit application behavior for dependency failures, stale data, lifecycle transitions, restart, fault containment, and safe degradation with the relevant owners.
- Evaluate module decomposition, interfaces, and dependency structure. Simplify unnecessary distribution and modernize C++ implementations using supported runtime frameworks.
- Assess compute, memory, data-flow, and scheduling impacts of application changes with Middleware/Performance; translate agreed constraints into component-level targets.
- Design components for meaningful tests, deterministic replay, and simulation. Partner with the existing engineers on input capture, configuration, timing, state initialization, regression tests, and fidelity gaps.
- Write architecture proposals with alternatives, ownership, resource impact, test strategy, and migration plans; drive joint review with module owners, Fleet Infra, Onboard Performance, Simulation, Systems, and Safety.
- Review new or materially changed module boundaries and interfaces, provide rigorous code reviews, and drive adoption of agreed engineering patterns.
- Use AI-assisted development tools where appropriate while remaining accountable for design quality, behavioral correctness, testing, and production readiness.