NVIDIA

Want to join a fun, creative company that is on the cutting edge of outstanding technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We're looking for a data scientist to take ownership of and deliver a crucial component of our evaluation strategy for autonomous vehicle (AV) development. You’ll be responsible for building scalable evaluation systems that turn real-world and simulated test data into actionable insights—enabling faster, safer, and more confident product iteration. Own your domain, guide implementation, ensure impact, and align workstream with broader goals in a multi-functional strategy.

What You’ll be doing:

• 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!

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.