Senior Software Engineer, Evaluation Flywheel — Autonomous Vehicles
NVIDIA is building the future of autonomous driving, and evaluation is how we know the drive is getting better. Our AV Evaluation team owns the metrics, golden datasets, and closed-loop evaluation workflows that decide what ships in NVIDIA's self-driving stack — every model change runs through us. We are bringing frontier vision-language models and agentic techniques to evaluation at scale, and the early results are changing how our organization develops AI drivers!
We are looking for a senior engineer to own the engine that makes it all trustworthy: the eval flywheel. This is a hands-on technical leadership role — the flywheel's architecture, quality, and adoption are owned end to end by this person, in code and in the room, not from a strategy document.
Owning the eval flywheel's strategy and architecture: how road and simulation driving data becomes curated golden datasets, how metrics are measured against them (precision/recall), and how those results earn lasting trust with the teams that depend on them.
Setting the standard for evaluation quality: golden dataset curation, versioning, and health; metric performance measurement; and release processes that keep results dependable as the system evolves.
Building the tooling that helps our metric developers iterate quickly: self-serve dataset pipelines, metric performance measurement, and quality reporting used every day by the team and our partners.
Partnering with senior engineers and leaders across test engineering, behavior planning, and infrastructure — setting expectations, working through trade-offs, and being the voice of evaluation quality in cross-team decisions.
Working directly with AI model developers so evaluation iteration speed becomes an advantage for the whole program, including our push into learned, VLM-based evaluation.
A track record of independent execution and technical leadership: finding the highest-leverage problem, driving it across team boundaries, and delivering without waiting to be asked.
Clear, proactive communication with engineers and senior leaders alike, at a fast pace.
BS or MS in Computer Science, Robotics, or a related field (or equivalent experience).
12+ years building software, with significant time in autonomous vehicles, robotics, or large-scale ML systems.
Deep experience evaluating ML or robotic systems: metric design, ground-truth and golden dataset curation, precision/recall methodology, and the data pipelines behind them.
Strong Python and data engineering skills for production-scale pipelines.
Experience building an evaluation flywheel before — dataset curation, metric measurement, developer tooling — and the story of how it changed model development velocity.
Closed-loop simulation evaluation for autonomous driving, and the realism questions that come with it.
Applying LLMs or VLMs to evaluation, or productionization the infrastructure behind them.
A history of earning trust for metrics across skeptical partner teams.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.- How much does the Senior Software Engineer, Evaluation Flywheel — Autonomous Vehicles at NVIDIA pay?
- The posting lists a range of $224K–$357K per year. Ranges reflect what NVIDIA publicly declared on the source posting.
- Where is this Senior Software Engineer, Evaluation Flywheel — Autonomous Vehicles role based?
- The role is based in US, CA, Santa Clara.
- What experience does NVIDIA expect for this role?
- The posting is tagged as a senior-level role, typically 5+ years of experience. Check the requirements section for specifics.
- How was this posting sourced?
- This role was pulled directly from NVIDIA's Workday careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
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