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Autonomous Driving Jobs in Seattle, WA (NOW HIRING)

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

... autonomous driving or ADAS is a plus -- background in perception pipelines, sensor fusion, or real-time inference in outdoor or unstructured environments is highly valued • Comfort navigating ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

... autonomous driving or ADAS is a plus -- background in perception pipelines, sensor fusion, or real-time inference in outdoor or unstructured environments is highly valued • Comfort navigating ...

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Autonomous Driving information

See Seattle, WA salary details

$7

$24

$45

How much do autonomous driving jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for autonomous driving in Seattle, WA is $24.42, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $24.71 per hour, depending on experience, location, and employer.

What is autonomous driving?

Autonomous driving refers to the use of technology to enable vehicles to navigate and operate without direct human input. These vehicles use a combination of sensors, cameras, radar, and artificial intelligence to perceive their environment and make driving decisions. The goal is to improve road safety, reduce human error, and increase transportation efficiency. Autonomous driving systems are typically categorized by levels, ranging from driver assistance to fully self-driving vehicles. This field is rapidly evolving, with ongoing research and real-world testing by automotive and technology companies.

What are some common challenges faced by professionals working in autonomous driving roles?

Professionals in autonomous driving often encounter challenges such as integrating complex sensor data, ensuring the reliability of AI algorithms in unpredictable environments, and meeting strict safety and regulatory standards. Collaboration is key, as teams typically work cross-functionally with hardware, software, and quality assurance groups to solve technical issues and validate system performance. Adapting to rapidly evolving technology and maintaining clear communication across disciplines are essential for success in this dynamic field.

What are the key skills and qualifications needed to thrive in an autonomous driving engineer role, and why are they important?

To thrive as an Autonomous Driving Engineer, you need a solid background in computer science, robotics, and engineering, often demonstrated by a relevant degree and experience in machine learning or computer vision. Proficiency with programming languages such as Python and C++, as well as familiarity with simulation tools, ROS (Robot Operating System), and sensor integration (e.g., LiDAR, radar), is essential. Strong problem-solving abilities, collaboration skills, and adaptability help you effectively tackle complex technical challenges and work within multidisciplinary teams. These skills ensure the development of safe, reliable, and innovative autonomous vehicle systems that meet rigorous industry standards.

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

AspectAutonomous DrivingAutonomous Vehicle Software Engineer
Required CredentialsEngineering degrees, specialized training in AI, robotics, or automotive systemsComputer science, software engineering degrees, programming skills in C++, Python
Work EnvironmentResearch labs, automotive companies, testing facilitiesSoftware development teams, automotive tech companies, simulation environments
Industry UsageDeveloping and testing autonomous vehicle systemsDesigning and coding software for autonomous vehicle functions
Common Search/ComparisonYesYes

Autonomous Driving focuses on the overall development, testing, and deployment of self-driving vehicle systems, often involving hardware integration and real-world testing. Autonomous Vehicle Software Engineers primarily concentrate on coding, software design, and algorithm development for autonomous vehicle functionalities. Both roles require technical expertise, but Autonomous Driving is broader, encompassing system integration, while Autonomous Vehicle Software Engineers specialize in software development within the autonomous vehicle industry.

What are popular job titles related to Autonomous Driving jobs in Seattle, WA?

For Autonomous Driving jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Autonomous Driving jobs in Seattle, WA look for?

The top searched job categories for Autonomous Driving jobs in Seattle, WA are:

Autonomous Driving jobs near you
Infographic showing various Autonomous Driving job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $50,595 per year, or $24.3 per hour.

Senior Sensor Fusion Engineer - Autonomous Vehicles

Nvidia

Redmond, WA • On-site

$117K - $154K/yr

Full-time

Re-posted 22 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 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.

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

Year founded

1993

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