Senior Data Analysis Engineer, AD Metrics - Autonomous Vehicles

Details

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.

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 work on 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 client releases, working with engineering teams, understanding the AV stack deeply and providing data-based judgement to deliver high-quality AV software to end customers.

Responsibilities

• Work with Product, Engineering, and In-car testing teams on AD product performance definition, create triage plans, provide performance assessment and release judgments.
• Supervise and categorize test events from large-scale tests; present spike critical metric trends and top issues with deep analysis.
• Collaborate with cross-functional teams to define data analysis requirements and processes; supervise and improve large-scale triage efficiency and quality.
• Improve end-to-end driving policy/product/model performance through data quantity, quality, and diversity.
• Automate product critical metric generation and robust evaluation for dashboard reporting; provide triage target vision to help teams understand product/software state and set priorities.

Requirements

• Bachelor's degree or equivalent experience in Computer Science, Electrical Engineering, AI, or related fields.
• 8+ years proven experience in ADAS/AD vehicle/digital testing, data analysis, and working with large datasets from customer vehicles.
• Proficiency in Python and a deep understanding of software engineering practices.
• Technical depth with the ability to zoom between low-level detail and high-level vision as needed.
• Strong problem-solving mindset and ownership mentality (“Buck stops with you”).
• Excellent communication and presentation skills.

Ways to stand out from the crowd

• Strong skills in scripting and tools development.
• Exceptional interpersonal skills and demonstrated ability to guide and influence in a dynamic environment.

Compensation & Benefits

• Base salary range: 152,000 USD - 253,000 USD (determined by location, experience, and internal pay equity).
• Eligible for equity and benefits (see NVIDIA benefits information).

Additional information

• 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 an equal opportunity employer and is committed to fostering a diverse work environment.