Senior Manager, Engineering - Autonomous Vehicles

NVIDIA•Redmond, WA

1d•$272,000 - $431,250

About The Position

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. Join the team and discover how you can develop a lasting impact on the world. At NVIDIA, we’re building the future of autonomous driving — from the silicon to the full-stack AI systems that power next-generation robots on wheels. Our ability to deliver safe, scalable autonomy depends on one thing above all: data. Extensive, diverse, high-quality data. We seek a manager to guide a team to develop systems and algorithms extracting intelligence from petascale consumer fleets.

Requirements

10+ overall years of industry experience including 4+ years in technical leadership.
Bachelors degree or equivalent experience.
Demonstrated success leading data-focused teams in AV or robotics domain.
Hands-on experience with VLMs, LLMs, or multimodal AI systems applied to perception, data triage, or automated labeling will be effective.
Prior experience in the autonomous vehicle ecosystem — perception, mapping, robotics, ADAS/AD, or AV data workflows.
Strong communication, careful planning, and technical leadership capabilities.

Nice To Haves

Hands-on experience with AV scenario mining, drive replay, or simulation feedback loops.
Ability to drive clarity and alignment across research, engineering, and product leadership.

Responsibilities

Lead, encourage, and develop elite engineering and data teams distributed across Europe and the United States.
Architect and operationalize NVIDIA’s in-car curation strategy, powering AI training, simulation, and continuous AV performance improvements.
Invent and deploy brand new algorithms that mine, classify, and surface the most valuable driving scenarios from customer cars.
Champion data quality and metadata standards that accelerate development and improve safety and performance.