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Nvidia Autonomous Driving Jobs in California (NOW HIRING)

Contribute to the build and development of world-class ISP to meet the ambitious performance and quality standards of NVIDIA's autonomous driving and robotics applications * Apply your expertise to ...

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Nvidia Autonomous Driving information

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How much do nvidia autonomous driving jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for nvidia autonomous driving in California is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $21.35 per hour, depending on experience, location, and employer.

What types of projects or technologies do employees typically work on within Nvidia Autonomous Driving roles?

Team members in Nvidia Autonomous Driving roles typically work on cutting-edge projects involving development of perception, localization, mapping, planning, and control systems for autonomous vehicles. They often engage with advanced sensor technologies such as lidar, radar, and cameras, and contribute to both software and hardware integration. Collaboration is frequent, with cross-functional work spanning research, engineering, simulation, and validation teams to ensure that autonomous driving solutions are robust and safe. This environment offers ample opportunities for skill expansion and career growth as you work on real-world applications that are transforming the transportation industry.

What is an Nvidia Autonomous Driving job?

An Nvidia Autonomous Driving job involves working on AI, machine learning, and software engineering to develop autonomous vehicle technology. Employees in these roles contribute to perception, planning, simulation, and hardware acceleration to create safer and more efficient self-driving systems. Positions range from software engineers and data scientists to hardware specialists, all focusing on innovation in autonomous mobility.

What are the key skills and qualifications needed to thrive in the Nvidia Autonomous Driving position, and why are they important?

To thrive in an Nvidia Autonomous Driving role, you need strong foundations in computer science, robotics, sensor fusion, machine learning, and software engineering, typically supported by a degree in engineering or related fields. Expertise with tools such as Python, C++, ROS (Robot Operating System), and experience with simulation environments and deep learning frameworks like TensorFlow or PyTorch are commonly required. Effective communication, collaboration, and problem-solving skills help professionals excel while working on complex, multidisciplinary teams. These abilities are crucial for driving innovation, ensuring system reliability, and accelerating the safe deployment of autonomous vehicle technologies.

What are the most commonly searched types of Nvidia Autonomous Driving jobs in California? The most popular types of Nvidia Autonomous Driving jobs in California are:
What job categories do people searching Nvidia Autonomous Driving jobs in California look for? The top searched job categories for Nvidia Autonomous Driving jobs in California are:
What cities in California are hiring for Nvidia Autonomous Driving jobs? Cities in California with the most Nvidia Autonomous Driving job openings:
Infographic showing various Nvidia Autonomous Driving job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $43,877 per year, or $21.1 per hour.

Senior System Software Engineer - AV Platform

Nvidia

Santa Clara, CA

Full-time

Re-posted 4 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies


Job description

The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to help bring NVIDIA's autonomous vehicle platform to the market. This role involves developing and productizing innovative solutions that will transform transportation and the field of self-driving cars. You will collaborate with talented and dedicated multi-functional engineering teams across various vehicle sub-systems to integrate their work into our autonomous driving DRIVE SW platform, ensuring compliance with all relevant NVIDIA and automotive standards and guidelines. The work is exciting, impactful, and enjoyable, with deadlines, customers, and competition to navigate.

What you'll be doing:

  • Lead software integration with a systematic approach to streamline embedded development for NVIDIA Drive Autonomous vehicle solution products.

  • Architect and develop platform software, tools, filesystem customization, with efficient software integration in multiple OS environments with AI powered workflows.

  • Proactively work with system architects, software/firmware engineers, HW/SW QA teams, and application engineering teams to drive cross-team dependency and schedule alignment, coordinate progress, and debug issues to meet production release timelines.

  • Regularly engage with customer teams to productize workflows for platform integration.

  • Collaborate with other engineering teams to enable automated workflows for development, sanity testing, car validation, and software release deliveries.

  • Work closely with other software engineers to identify and implement build and packaging infrastructure requirements, and develop automated tests to accelerate development for Autonomous Vehicles.

  • Operate in an environment involving Hypervisor, Linux, and QNX RTOS.

What we need to see:

  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).

  • 8+ years of experience working on software development autonomous vehicles.

  • Proficient debugging skills from application to kernel level on embedded hardware.

  • Strong communication skills and the ability to collaborate with multiple cross-functional teams.

  • Proven expertise in embedded systems, architecture design and SW/HW cross-domain knowledge.

  • Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.

  • Self-motivated, organized, and proactive.

Ways to stand out from the crowd:

  • Leveraged AI for building small to complex embedded projects to improve platform developer efficiency.

  • Experience with Linux and QNX filesystems, and QNX RTOS is a major plus.

  • Background in automotive ECU software integration or Prior experience in the automotive field.

  • Familiarity with the Bazel build system.

  • Good to have exposure in python programming, cloud services, Jenkins, and Docker in continuous integration and deployment systems.

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 20, 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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Hours and flexibility

Workplace

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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