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AI Job Summary

Lead engineering and data teams across Europe and the US to develop systems extracting intelligence from petascale vehicle fleets for autonomous driving. You'll architect data curation strategies, invent algorithms for mining valuable driving scenarios, and champion data quality standards. Requires 10+ years industry experience with 4+ in technical leadership, demonstrated success leading data teams in AV or robotics, and hands-on experience with VLMs, LLMs, or multimodal AI systems. Base salary $272,000–$431,250 USD.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

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.

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.

  • 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.

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, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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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NVIDIA
Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.

All jobs at NVIDIA

Location

United States

Job Overview
Job Posted:
1 week ago
Workplace
On-site
Job Type
Full Time
Education
Any
Experience
5+ years

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