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 Nuro s autonomous vehicle platform has to work - not just in the easy cases, but in the hard ones. The ones we design for, simulate at scale, and deliberately break to understand. We re looking for a Senior/Staff Systems Engineering TPM who owns the technical substance of how we validate autonomy: what we test, why we test it, and whether our coverage actually means something. This is not a planning or scheduling role. You ll work embedded with Autonomy, Simulation, and Systems Engineering teams to drive the technical rigor behind our validation program — defining scene sets, structuring fault injection campaigns, and ensuring our simulation coverage is meaningful, traceable, and systematically growing. The program infrastructure is owned elsewhere; your job is to make sure what s inside it is technically sound. About the Work <ul> <li> Scenario & Coverage Strategy <ul> <li>Understanding the taxonomy of challenging scene sets used for autonomy validation - ensuring coverage spans safety-critical, edge-case, and adversarial scenarios grounded in real-world operational data and systems requirements.</li> <li>Own the technical framework for measuring validation coverage: what counts as covered, where the gaps are, and what engineering decisions close them.</li> <li>Partner with systems engineers to translate system-level requirements and failure modes into concrete, testable scenario definitions.</li> </ul> Large-Scale Simulation <ul> <li>Drive the technical design of large-scale simulation campaigns - scenario selection, variation strategies, metrics definition, and results interpretation.</li> <li>Work with simulation and infrastructure teams to ensure campaign design maximizes signal: the right scenarios, run at the right fidelity, with results that feed actionable engineering decisions.</li> <li>Identify when simulation results are inconclusive or misleading and drive the engineering conversation to resolve it.</li> </ul> Fault Injection & Unhealthy Autonomy <ul> <li>Own the technical strategy for fault injection and degraded-mode validation - defining what failure conditions matter, how they re induced, and what acceptable autonomy behavior looks like under each.</li> <li>Collaborate with Systems Engineering, Controls, and HW teams to build fault injection test matrices grounded in FMEA and systems-level failure mode analysis.</li> <li>Ensure unhealthy autonomy behaviors surfaced through fault injection are technically understood, root-caused, and tied back to requirements or safety goals.</li> </ul> Requirements Traceability & Systems Engineering <ul> <li>Maintain traceability between autonomy system requirements, scenario/test definitions, and validation evide

Senior/Staff Software Technical Program Manager, Systems Engineering

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