Software Technical Program Manager, Systems

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

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 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

• Scenario & Coverage Strategy

  • 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.
  • Own the technical framework for measuring validation coverage: what counts as covered, where the gaps are, and what engineering decisions close them.
  • Partner with systems engineers to translate system-level requirements and failure modes into concrete, testable scenario definitions.

  Large-Scale Simulation

  • Drive the technical design of large-scale simulation campaigns - scenario selection, variation strategies, metrics definition, and results interpretation.
  • 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.
  • Identify when simulation results are inconclusive or misleading and drive the engineering conversation to resolve it.

  Fault Injection & Unhealthy Autonomy

  • 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.
  • Collaborate with Systems Engineering, Controls, and HW teams to build fault injection test matrices grounded in FMEA and systems-level failure mode analysis.
  • Ensure unhealthy autonomy behaviors surfaced through fault injection are technically understood, root-caused, and tied back to requirements or safety goals.

  Requirements Traceability & Systems Engineering

  • Maintain traceability between autonomy system requirements, scenario/test definitions, and validation evidence — ensuring the coverage story is coherent and audit-ready.
  • Apply systems engineering principles to structure validation logic: interface dependencies, assumption documentation, and V&V coverage mapping.
  • Serve as the technical bridge between systems development and validation execution — translating what the system is supposed to do into how we know it does it.

  Technical Collaboration & Domain Expertise

  • Be the person in the room who understands both the autonomy stack and the validation methodology well enough to push back, ask the hard questions, and spot coverage gaps others miss.
  • Partner closely with the Systems Validation TPM — who owns planning, timelines, and scope gates — to ensure technical execution stays aligned with program commitments without duplicating that function.
  • Communicate complex validation logic and coverage gaps clearly to engineering leads and senior stakeholders.

About You

• 4–6 years in systems engineering, autonomy validation, or a technically-focused TPM role in autonomous vehicles, robotics, or aerospace.
• Deep familiarity with scenario-based testing, coverage-driven validation, or autonomy stack evaluation.
• Strong systems engineering fundamentals: requirements traceability, V&V methodology, interface management, failure mode analysis.
• Ability to engage