Software Technical Program Manager, Systems

Nuro • Mountain View, CA

10h

About The Position

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.

Requirements

• 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 technically with autonomy, simulation, and hardware engineers — not just coordinate between them.
• Comfortable owning ambiguous technical problems and driving them to structured, defensible conclusions.

Nice To Haves

• Experience designing or executing large-scale simulation campaigns, including scenario variation strategies and results analysis.
• Familiarity with SOTIF (ISO 21448), UL 4600, or safety-of-the-intended-functionality concepts as they apply to autonomy validation.
• Background in ODD (Operational Design Domain) analysis, scenario taxonomy development, or safety case construction.
• Experience with simulation platforms such as CARLA, LGSVL, or proprietary AV sim environments.

Responsibilities

• 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.

Benefits

• At Nuro, your base pay is one part of your total compensation package.
• This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed