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Remote Nvidia Autonomous Driving Jobs (NOW HIRING)

$122K - $161K/yr

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a ... If you're creative and autonomous, we want to hear from you! What you'll be doing: * Developing ...

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a ... If you're creative and autonomous, we want to hear from you! What you'll be doing: * Developing ...

Senior Software and System Architect

New York, NY · On-site +1

$141K - $192K/yr

... autonomous engineer with a real passion for technology, we want to hear from you! #LI-Remote Your ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

$122K - $161K/yr

... driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA ... If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear ...

$135K - $181K/yr

NVIDIA Dynamo is a high-throughput, low-latency inference framework for serving generative AI and ... Deep understanding of memory hierarchies (GPU HBM, host DRAM, SSD, and remote/object storage) and ...

A passion for automating manual processes and driving system efficiency. Ways to Stand Out from the ... autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of ...

Senior Software and System Architect

Santa Clara, CA · Remote

$152K - $206K/yr

... autonomous engineer with a real passion for technology, we want to hear from you! #LI-Remote Your ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

Showing results 41-60

Remote Nvidia Autonomous Driving information

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$39

How much do remote nvidia autonomous driving jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote nvidia autonomous driving in the United States is $21.37, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.63 per hour, depending on experience, location, and employer.

What is the difference between Remote Nvidia Autonomous Driving vs Remote Nvidia Computer Vision Engineer?

AspectRemote Nvidia Autonomous DrivingRemote Nvidia Computer Vision Engineer
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related field; experience with autonomous vehicle systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; expertise in computer vision and image processing
Work EnvironmentDeveloping and testing autonomous driving algorithms, simulation, hardware integrationDesigning and implementing computer vision models, image analysis, and perception systems
Industry UsageAutonomous vehicle companies, automotive techRobotics, AI, automotive, and tech industries
Common Search/ComparisonYesYes

Remote Nvidia Autonomous Driving focuses on developing autonomous vehicle systems, while Remote Nvidia Computer Vision Engineer specializes in creating computer vision solutions applicable across various fields. Both roles require expertise in AI and programming, but their applications and daily tasks differ significantly within the tech industry.

What cities are hiring for Remote Nvidia Autonomous Driving jobs?

Cities with the most Remote Nvidia Autonomous Driving job openings:

What are the most commonly searched types of Nvidia Autonomous Driving jobs?

The most popular types of Nvidia Autonomous Driving jobs are:

What states have the most Remote Nvidia Autonomous Driving jobs?

States with the most job openings for Remote Nvidia Autonomous Driving jobs include:

Senior Customer Technical Program Manager - AI Datacenter

Nvidia

Remote

Full-time

Re-posted 2 hours ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

At NVIDIA, we are at the forefront of AI and accelerated computing, redefining the world's largest industries and creating a profound impact on society. As part of the Customer Program Management Team, you will lead strategic technical programs with Cloud Service Providers (CSPs), driving the deployment of NVIDIA's innovative AI infrastructure. This role offers a groundbreaking opportunity to work with brand-new technologies, such as the powerful NVIDIA GB300 NVL72 platform, delivering unmatched data center-scale performance.

What you'll be doing:

  • Leading execution and technical engagement directly with CSPs and their ODM/OEM partners.

  • Integrating datacenter tools and operationalizing processes for AI factory build-out, resolving any blocking issues to keep projects on track.

  • Ensuring reliable assembly of groundbreaking AI infrastructure platforms by working closely with CSP's ODMs or OEMs to meet specified metrics and schedules.

  • Assembling and guiding cross-functional teams, ensuring alignment and execution excellence.

  • Providing technical direction on server system building in collaboration with subject matter experts, and managing project timelines by proactively resolving blockers.

  • Ensure timely delivery of customer-specific features and production deployment.

  • Communicate program status, risks, and insights to senior leadership.

What we need to see:

  • Demonstrated experience in program/project management involving direct interaction with customers.

  • 8+ years of experience managing programs and projects involving direct engagement with customers.

  • Strong leadership skills in global, matrixed environments.

  • Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field.

  • A solid track record of successfully managing complex, large-scale datacenter projects.

  • A willingness to continue learning new skills and growing capabilities as NVIDIA ventures into new markets.

Ways to stand out from the crowd:

  • Strong customer facing experience

  • Deep experience leading technical programs for CSPs.

  • Hands-on expertise in large-scale compute server build and deployment.

  • Strong cross-functional teamwork across globally distributed teams.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, collaborative, and autonomous, we want to hear from you!

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 July 24, 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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Benefits

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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