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Associate Nvidia Autonomous Driving Jobs (NOW HIRING)

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$122K - $161K/yr

In the space of self-driving cars, NVIDIA provides the DRIVE AGX hardware platform which runs our DRIVE software. We are looking for a Senior Localization Engineer for Autonomous Vehicles to join us.

... autonomous driving system and coordinates development teams across NVIDIA. What you will be doing: * Leading execution of safety engineering processes to meet ISO 26262, ISO 21448 and ISO 8800 ...

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Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... Develop use cases and system requirements for L3 and L4 autonomous driving products based on ...

At NVIDIA, we are building the system, hardware, and software technology which enables autonomous driving. Our safety engineering team is currently looking for a Semiconductor Safety Engineer to help ...

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Associate Nvidia Autonomous Driving information

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

As of Jun 7, 2026, the average hourly pay for associate nvidia autonomous driving in the United States is $19.01, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.19 per hour, depending on experience, location, and employer.

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

AspectAssociate Nvidia Autonomous DrivingAssociate Autonomous Vehicle Software Engineer
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related field; experience with AI, deep learning, and automotive systemsBachelor's or Master's in Software Engineering, Computer Science; knowledge of autonomous systems and programming
Work EnvironmentResearch labs, automotive industry, tech companies focusing on autonomous drivingAutomotive companies, tech firms, R&D centers working on autonomous vehicle software
Employer & Industry UsageUsed by Nvidia, automotive OEMs, Tier 1 suppliersUsed by automakers, autonomous vehicle startups, tech companies

The Associate Nvidia Autonomous Driving role primarily focuses on developing and testing autonomous driving systems using Nvidia's platforms, while the Associate Autonomous Vehicle Software Engineer role emphasizes software development for autonomous vehicle functionalities. Both roles require strong technical skills and industry knowledge but differ slightly in their focus areas within autonomous vehicle technology.

What cities are hiring for Associate Nvidia Autonomous Driving jobs? Cities with the most Associate 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 Associate Nvidia Autonomous Driving jobs? States with the most job openings for Associate Nvidia Autonomous Driving jobs include:
Senior Solutions Architect - Autonomous Vehicles

Senior Solutions Architect - Autonomous Vehicles

Nvidia

Santa Clara, CA

Full-time

Posted 4 days ago


Job description

Join the NVIDIA's Solutions Engineering team that is reshaping the future of driving! Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. We are looking for solutions architects, who are experts, trusted technical advisors and leaders to our partners and customers, that believe in deep learning, data science, and artificial intelligence will transform autonomous driving. We need individuals who can enable customer productivity, develop positive relationships with our technology partners and collaborate with internal teams to develop the best solutions for partners working on our platform.

NVIDIA is widely considered to be one of the technology world's most desirable employers. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you!

What you'll be doing:

  • Lead vehicle software integration and bring-up activities, collaborating with internal and external partner teams to develop and launch autonomous vehicle solutions.

  • Drive use case analysis, functional requirements' definition, critical metric definition and testing of ADAS features

  • Examine and diagnose the key factors driving these metrics, uncover trends, and prioritize engineering initiatives that will most improve the product experience.

  • Customize, reconfigure and rebuild processing pipelines in the software stack.

  • Integrate hardware and software components efficiently and build scalable solutions alongside our partners

  • Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy solutions to our customers.

What we need to see:

  • Well-rounded knowledge of how an autonomous vehicle stack-or any similarly complex system-functions, and real-world experience solving the challenges of bringing diverse components together into a scalable solution

  • 5+ years of work related experience in software development related to embedded systems and/or autonomous driving technologies.

  • BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).

  • Excellent C/C++ development skills with good knowledge of Python.

  • Established proficiency in system performance and complexity evaluation to optimize the system and resolve application issues.

  • Experience with automotive design processes and standards (e.g. ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE), including in-vehicle testing, simulation and development guided by measurable outcomes.

  • Ability to adapt to fast paced development lifecycles and multi-functional organizations, new technologies and platforms.

  • Strong analytical skills, strive for innovative solutions, with outstanding attention to details.

Ways to stand out from the crowd:

  • Familiarity of NVIDIA DRIVE platform and NVIDIA GPU hardware and CUDA programming.

  • Software development experience on QNX or equivalent RTOS.

  • Prior experience in application development and familiarity with middleware frameworks and intricate system-level integrations.

  • Experience as ADAS software engineer at a Tier 1 or OEM

  • In-vehicle networking and application frameworks: CAN, Flexray, Ethernet, Some/IP, Classical and Adaptive AUTOSAR.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 1, 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.

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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