Senior Software Engineer, Evaluation and Metrics - Autonomous Vehicles

• Manage and implement a product critical metric and evaluation workstream within the broader AV validation strategy

• Develop robust methods for analyzing sophisticated, unstructured testing with real world driving

• Deliver metric systems, dashboards, and analysis tools that drive product decisions

• Employ data science methods like debiasing, sampling, and exposure modeling to guarantee accurate, significant critical metrics

• Collaborate closely with simulation, infrastructure, operations, and engineering teams to embed your metrics in daily development workflows

• Integrate on road performance with upstream simulation efforts, ensuring follow through between real-world outcomes and test coverage

• Influence metric adoption and alignment across teams by providing clear, consistent technical mentorship

What we need to see:

• 5+ years of experience in Data Engineering and Data Science Roles

• BS/MS in Computer Science or equivalent experience

• Demonstrated experience in developing and delivering critical metrics systems or data products for complex, real-world or ML-based systems

• Hands-on application of statistical techniques such as debiasing, sampling, exposure control, or experimental design

• Proficiency in Python, SQL, and scalable data tools (e.g., Spark, BigQuery)

• Strong product approach with a focus on usability and measurable impact

• Tight-knit collaboration and communication across technical teams

• Proficiency in articulating evaluation reasoning and results clearly to both technical and non-technical customers

Ways to stand out from the crowd:

• Background in autonomous vehicles, robotics, or simulation domains

• Experience with simulation feedback loops tied to real-world performance

• Familiarity with performance validation for safety-critical systems in unstructured validation environments

• Exposure to labeling pipelines or automated evaluation tooling. Experience with both human-labeled and automated critical metrics

• Taking ownership of a data science workstream from strategy through implementation, ideally involving multi-functional coordination

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest fields such as virtual reality, deep learning, artificial intelligence, graphics virtualization, photo realistic rendering and more. Come join us at NVIDIA!