Senior Data Analysis Engineer, AD Metrics - Autonomous Vehicles

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are a world - class autonomous driving hardware and software development team. We have the best platform and have maintained a leading position in the field of artificial intelligence. Next, we will continue to deepen our efforts in the autonomous driving field and strive to bring sustained growth to our customers.

We're looking for a Senior Data Analysis Engineer, AD critical metrics with strong technical ability to deeply understand architectures and strong scripting experience to automate and Triage methodology, and the leadership to encourage our engineering team. As a key member of our automotive group, you'll be working on the real time challenges outstanding to the automotive industry and our automotive products. This is a key role to support AV software agile iteration & development for the release of clients, together working with the engineering teams, understanding the AV stack deeply and providing data-based judgement and delivering high-quality AV software to end customer.

What you’ll be doing:

• Work with Product, Engineering, In-car testing team on AD product performance definition, make triage plan, provide performance assessment and release judgments.
• Supervise and categorize test events from the scaling test, present spike critical metric trends and top issues with deep analysis.
• Collaborate with multi-functional teams to define data analysis requirements and process, supervise and improve large scale triage efficiency and quality.
• Improve end to end driving policy product/model performance with data quantity, quality and diversity.
• Automate product critical metric generation and robust evaluation to represent on the dashboard, provide triage target vision to support critical metric teams to understand the current state of our product/software and make priorities.

What we need to see:

• Bachelors or equivalent experience in Computer Science, Electrical Engineering, AI or related fields
• 8+ proven experience on ADAS/AD vehicle/digital test, data analysis and large datasets from customer cars.
• Proficiency in Python and a deep understanding of software engineering practices
• Technical in nature and be able to zoom in and out of scope as needed from the lowest detail to high level vision of the job
• Problem solver and “Buck stops with you”
• Excellent communication and presentation skills

Ways to stand out from the crowd:

• Strong in scripting/tools development.
• Expert reciprocal and interpersonal skills, specifically a confirmed ability to effectively guide and influence within a dynamic work environment.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 253,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

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