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Manager Nvidia Autonomous Driving Jobs (NOW HIRING)

Nvidia

Senior Architect, Camera ISP

Santa Clara, CA

... NVIDIA's autonomous driving and robotics applications * Apply your expertise to drive continuous ... Deep expertise in image science covering optics, HDR image sensors, and color/tone management

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Manager Nvidia Autonomous Driving information

What is the difference between Manager Nvidia Autonomous Driving vs Software Engineer Nvidia Autonomous Driving?

AspectManager Nvidia Autonomous DrivingSoftware Engineer Nvidia Autonomous Driving
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Computer Science or related field
Work EnvironmentTeam leadership, project management, cross-functional collaborationSoftware development, coding, testing, debugging
Employer & Industry UsageAutomotive tech companies, Nvidia, autonomous vehicle industryTech companies, Nvidia, autonomous vehicle projects

The main difference is that the Manager Nvidia Autonomous Driving oversees teams and projects related to autonomous vehicle technology, focusing on leadership and coordination. In contrast, the Software Engineer Nvidia Autonomous Driving is primarily involved in coding and developing the software components. Both roles require technical expertise, but the manager role emphasizes project management and team oversight.

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Infographic showing various Manager Nvidia Autonomous Driving job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Senior Technical Program Manager - Autonomous Vehicles

Nvidia

Santa Clara, CA

Full-time

Re-posted 25 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

If you're passionate about autonomous vehicles, we would love to hear from you! The Autonomous Vehicles Product/Program Management team is searching for an experienced Technical Program Manager to lead the end-to-end development of new autonomous driving features. We are the leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing and self-driving cars. As a key member of our Autonomous Vehicles Team, you will be a key leader responsible for the software development execution of our autonomous driving software stack. NVIDIA gives automakers, Tier 1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Today, we are working with over 270 partners that are using our platform in the development of autonomous cars, trucks, shuttles and taxis.
What you'll be doing:

  • Leading automotive software development across multiple engineering teams related to ADAS/Autonomy features.

  • Working with the engineering leads to define product and roadmaps, develop schedules, and drive the execution and tracking of these across the organization.

  • Coordinating release content and efforts with multiple program managers and engineering managers who own individual components.

  • Establishing metrics to assess and improve product quality and execution.

  • Develop a strong technical understanding of the stack, to proactively identify and hand technical challenges, and resolving issues that affect scope, schedule and quality.

  • Regularly communicating the program status and key issues to management and multi-functional teams within the organization.


What we need to see:

  • BS/MS Computer Science, Electrical Engineering or related field (or equivalent experience) with 8+ years of experience in a similar or related role

  • Experience working in driving the planning and execution of complex software engineering projects, and new products or features to users.

  • Proven experience in Automotive, Robotics and/or AI.

  • Strong leadership and interpersonal skills. Demonstrated ability to collaborate on global projects across large organizations


Ways to stand out from the crowd:

  • Proven experience leading end-to-end development of ADAS, autonomous vehicles and/or machine learning

  • Experience with Jira and/or JAMA, to the point that you can comfortably guide an engineering team how to use these tools.

  • Experience with start-ups and/or early-stage products

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 23, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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