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Nvidia Autonomous Driving Jobs in Seattle, WA (NOW HIRING)

Nvidia

Senior GPU Compiler Development Engineer

Redmond, WA · On-site

$137K - $180K/yr

PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX provides a stable programming model and portable instruction set Architecture (ISA) for NVIDIA GPUs ...

Nvidia

Senior GPU Compiler Development Engineer

Redmond, WA · On-site

$137K - $180K/yr

PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX provides a stable programming model and portable instruction set Architecture (ISA) for NVIDIA GPUs ...

Nvidia

Senior Hypervisor and RTOS Engineer

Redmond, WA · On-site

$133K - $177K/yr

... in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give ... critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous ...

Nvidia

Senior Hypervisor and RTOS Engineer

Redmond, WA · On-site

$133K - $177K/yr

... in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give ... critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous ...

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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 Seattle, WA is $24.32, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $24.62 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.

What are the most commonly searched types of Nvidia Autonomous Driving jobs in Seattle, WA?

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Nvidia Autonomous Driving jobs near you
Infographic showing various Nvidia Autonomous Driving job openings in Seattle, WA as of August 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $50,596 per year, or $24.3 per hour.

Senior Sensor Fusion Engineer - Autonomous Vehicles

Nvidia

Seattle, WA • On-site

$118K - $157K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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

We are looking for a strong engineer in the DRIVE Road structure / Online mapping / Context Fusion team. In this role, you will help craft and guide the future of our autonomous driving solution for providing a complete 3D world model including fusing signals between map and perception. You will be working closely with our perception and planning teams in providing a world model that is complete and able to drive in the most challenging roads and intersections in the U.S and China. It is a very exciting role that provides a breadth of interesting areas and is central to our vision in AV. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!

What You'll Be Doing:

  • Develop core functionality for autonomous driving in all geographies based on the fusion of SOTA perception DNN and map signals.

  • Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources.

  • Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world.

  • Enable L3 level autonomy in highway scenarios by creating accurate, reliable and safe models of the world from camera, lidar, radar perception and map signals

  • Build fused static obstacles and occupancy grids and build occlusion masks to enrich AV scenarios.

  • Be a technology leader by providing the team guidance on approaches to be taken to solve the hardest of AV problems. Be a hands-on collaborator with the team.

  • Mentoring strong engineers within the team.

  • Make sure our algorithms work well on large amounts of real and synthetic data, in a diverse range of environments and conditions

  • Produce code and designs following automotive quality and safety standards.

What We Need To See:

  • BS, MS, or PhD in Computer Science or related fields or equivalent experience

  • 8+ years of experience, with at least 2+ years in the AV or robotics industry.

  • 2+ years of experience technically leading areas

  • Passion for robotics and autonomous vehicles

  • Drive to learn new things and tackle meaningful problems

  • Outstanding communication and cross-team collaboration especially with multinational teams across the globe.

  • Independent and analytical software engineering skills

  • Software development experience on embedded or automotive platforms.

Ways To Stand Out From The Crowd:

  • Background in 3D computational geometry, computer vision, sensor fusion, localization, mapping, trajectory optimization or state estimation algorithms like Kalman filters, particle filters

  • Significant industry experience in the AV area esp. self-driving cars.

  • Experience developing real-time Computer Vision systems.

  • Strong API and framework design skills

We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding 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're entrepreneurial 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 8, 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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Hours and flexibility

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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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