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NVIDIA

Senior Manager, Engineering - Autonomous Vehicles

  • Office
  • 6+ years

Salary

$272,000 - 431,250/ year

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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.

AutonomousVehicles

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.

Responsibilities

  • Applications for this job will be accepted at least until September 18, 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.

Where you’d work

From the office

About the company

NVIDIA

Offices in United States, Redmond, United States

Also hiring in Munich, Germany, France, Bristol, United Kingdom and 12 more places

273 of their 660 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 3 red flags

Still hiring?

14 checks

1 red flag

How crowded?

7 checks

2 red flags

Fits Me

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • LLMs
Seniority
Senior
Type
Full-time
Equity
Equity offered
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Development
Seniority
Senior
Experience
25+ years
Tech stack
  • LLMs

Location

Work model
Office
Region
United States
Offices
  • United States
  • Redmond, United States

Compensation

Salary
$272,000 - 431,250 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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