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Full Time Nvidia Autonomous Driving Jobs (NOW HIRING)

OR · On-site

$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.

OR · On-site

... 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 ...

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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How much do full time nvidia autonomous driving jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for full time 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 Full Time Nvidia Autonomous Driving vs Full Time Nvidia Perception Engineer?

AspectFull Time Nvidia Autonomous DrivingFull Time Nvidia Perception Engineer
Required CredentialsDegree in Computer Science, Electrical Engineering, or related field; experience with AI, deep learning, and automotive systemsDegree in Computer Science, Electrical Engineering, or related field; expertise in perception algorithms, sensor fusion, and computer vision
Work EnvironmentAutomotive industry, R&D labs, autonomous vehicle developmentAutonomous vehicle perception systems, sensor data processing, real-time software development
Employer & Industry UsageNvidia, automotive OEMs, autonomous vehicle startupsNvidia, automotive OEMs, perception-focused autonomous vehicle teams

Full Time Nvidia Autonomous Driving roles focus on developing complete autonomous vehicle systems, including perception, planning, and control. In contrast, Full Time Nvidia Perception Engineers specialize in sensor data processing and perception algorithms. Both roles require similar technical backgrounds but differ in scope, with perception engineers concentrating on sensor fusion and computer vision within the broader autonomous driving ecosystem.

What cities are hiring for Full Time Nvidia Autonomous Driving jobs? Cities with the most Full Time 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 Full Time Nvidia Autonomous Driving jobs? States with the most job openings for Full Time Nvidia Autonomous Driving jobs include:
Principal Program Manager, Carline - Autonomous Vehicles

Principal Program Manager, Carline - Autonomous Vehicles

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 4 days ago


Job description

We are looking for a technically adept and motivated Principal Carline Program Manager to coordinate the complete implementation of self-driving features for one of our vehicle models. You will partner with engineering, product, system, and validation teams to bring next-generation driving intelligence from concept to production. Ideal for problem-solvers who excel at integrating software, hardware, and vehicle systems in fast-paced environments.
NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life's work: to amplify human creativity and intelligence. NVIDIA is often viewed as one of the most sought-after employers in the tech industry. We have some of the most forward-thinking and dedicated people working in the team. If you're creative and love challenges, we would love to hear.
What You'll Be Doing:
  • Lead the full lifecycle of an autonomous driving program-from definition and prototype to mass-production readiness.
  • Coordinate multi-functional engineering teams (software, perception, control, hardware, testing) toward shared milestones.
  • Manage schedules, dependencies, and risk across internal and customer programs with transparency and urgency.
  • Define and supervise key metrics (velocity, release cadence, validation readiness) to ensure high-quality delivery.
  • Act as the single point of accountability for vehicle-line AD feature integration and customer communication.
  • Drive issue resolution, escalation, and data-driven decision-making across all stakeholders.
  • Continuously refine execution processes to increase development speed and reliability.

What We Need To See:
  • BS/MS in Computer Science, Electrical/Mechanical Engineering, Automotive Engineering, or related field (or equivalent experience).
  • 15+ years of program or project management experience within autonomous driving, ADAS, or intelligent-EV domains.
  • Proven success leading cross-functional technical teams and delivering sophisticated systems on aggressive timelines.
  • Strong understanding of autonomous driving software stack (perception, planning, control, compute, E/E architecture).
  • Excellent communication and influencing skills; comfortable operating across global teams and executive levels.
  • Solid command of modern project tools: Jira, Confluence, Git, dashboards, or similar.
  • Proficient in English; capable of leading cross-region discussions with customers and suppliers.

Ways to Stand Out from the Crowd:
  • Experience in tech-driven automotive environments.
  • Familiarity with high-compute AD platforms (NVIDIA Orin, Qualcomm Ride).
  • Background in system integration, simulation, or automated validation.
  • Demonstrated ability to scale agile execution frameworks across engineering teams.
  • PMP or Scrum Master certification is a plus.

We believe that building self-driving vehicles will be a defining contribution of our generation. We have the vision, roadmap and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking people in the world working here. If you possess an entrepreneurial spirit and thrive in autonomy, we are eager 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 240,000 USD - 379,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 17, 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