Senior Manager, Engineering - Autonomous Vehicles

What You’ll Be Doing

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.

What We Need To See

• 10+ overall years of industry experience including 4+ years in technical leadership.
• Bachelor's 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.

Ways To Stand Out From The Crowd

• 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.
• Widely considered to be one of the technology world’s most desirable employers.

Visit NVIDIA’s benefits page to learn more about what we offer.