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Nvidia Autonomous Driving Jobs (NOW HIRING)

NVIDIA Corporation

$152 - $242/hr

This role works across software, hardware, safety, and product teams to develop, integrate, and improve capabilities within NVIDIA's autonomous driving DRIVE OS software platform. What you'll be ...

Nvidia

Senior Architect, Camera ISP

Santa Clara, CA · On-site

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 ...

Nvidia

Senior Architect, Camera ISP

Santa Clara, CA · On-site

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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How much do nvidia autonomous driving jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for 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 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 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 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.

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Nvidia Autonomous Driving jobs near you
Infographic showing various Nvidia Autonomous Driving job openings in the United States as of August 2026, with employment types broken down into 66% Full Time, 32% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,459 per year, or $21.4 per hour.

Senior System Software Engineer

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 4 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation 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 GPUs act 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.
The DRIVE OS Team is searching for a hands-on Systems and Software Platform Engineer to develop innovative solutions for the world of transportation and the growing field of self-driving cars. This role works across software, hardware, safety, and product teams to develop, integrate, and improve capabilities within NVIDIA's autonomous driving DRIVE OS software platform.
What you'll be doing:
  • Collaborate with software, hardware, safety, and product management teams to translate product requirements into system requirements, software architectures, and technical designs
  • Design and develop solutions for vehicle interface abstraction, vehicle network topology and infrastructure, data flow, time synchronization, and other system-level capabilities
  • Develop, document, implement, and optimize software architectures and frameworks for real-world performance while meeting product and customer requirements
  • Design, develop, deploy, and improve AI agents and AI-assisted workflows that automate engineering tasks such as software development, system analysis, testing, debugging, documentation, data analysis, and developer productivity
  • Identify opportunities to apply generative AI and agentic workflows to improve engineering efficiency, software quality, and development processes
  • Debug complex system-level issues spanning software, operating systems, networking, middleware, and hardware interfaces
  • Collaborate across engineering teams to integrate, test, and deliver robust software capabilities on the DRIVE OS platform

What we need to see:
  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related engineering field, or equivalent experience
  • 5+ years of relevant software or systems engineering experience
  • Strong C and C++ programming skills, with experience designing, developing, integrating, and debugging complex software systems
  • Experience with Linux, QNX, Android, or other embedded or real-time operating systems, including software that spans hardware, operating system, middleware, and application layers
  • Experience developing or integrating AI-powered tools, AI agents, or automation into software engineering workflows
  • Familiarity with modern AI development tools, APIs, scripting languages, and frameworks used to build and deploy agent-based automation
  • Ability to work independently and collaborate effectively with multi-functional engineering teams in a dynamic development environment
  • Strong written and verbal communication skills with the ability to clearly communicate technical concepts and engineering decisions

Ways to stand out from the crowd:
  • Knowledge of automotive systems, including ADAS, autonomous driving, vehicle electrical architectures, and automotive communication networks
  • Experience with embedded systems, software/hardware integration, and software development on the QNX operating system
  • Experience applying generative AI, large language models, or agentic AI systems to software engineering, system debugging, testing, or developer productivity
  • Experience building AI agents that interact with engineering tools, source repositories, CI/CD systems, test infrastructure, or technical documentation
  • Experience with Python or other scripting languages for engineering automation and AI development

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 widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative, autonomous, and love a challenge, we would love 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 152,000 USD - 241,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 30, 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.

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

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