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Nvidia Autonomous Driving Jobs in Oregon (NOW HIRING)

NVIDIA is searching for an outstanding ASIC Engineer to build and implement an MMU for the world ... Our approach delivers the performance required by autonomous vehicles, photo-realistic games and ...

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

Study workloads for a wide range of markets, including AI/DL, CSP, HPC, and autonomous vehicles ... The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader ...

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

Study workloads for a wide range of markets, including CSP, HPC,AI / DL, and autonomous vehicles ... The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader ...

... autonomous vehicles? Come join the CPU architecture team and help us the boundaries for all our CPU ... The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA's broader ...

OR · On-site

Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++ * Design ... If you're a creative and autonomous engineer with a real passion for technology, we want to hear ...

OR

$129K - $175K/yr

... autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of ... driving our success in this exciting and quickly growing field. Your base salary will be determined ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

OR · On-site

$122K - $161K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

OR · On-site

$122K - $161K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

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Nvidia Autonomous Driving information

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How much do nvidia autonomous driving jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for nvidia autonomous driving in Oregon is $22.60, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $22.88 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 a 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 Oregon? The most popular types of Nvidia Autonomous Driving jobs in Oregon are:
What are popular job titles related to Nvidia Autonomous Driving jobs in Oregon? For Nvidia Autonomous Driving jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Nvidia Autonomous Driving jobs? Cities in Oregon with the most Nvidia Autonomous Driving job openings:
Infographic showing various Nvidia Autonomous Driving job openings in Oregon 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 $47,006 per year, or $22.6 per hour.
Senior ASIC Design Engineer - GPU

Senior ASIC Design Engineer - GPU

Nvidia

Hillsboro, OR • Hybrid

Full-time

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 245 rated software companies


Job description

We are now looking for a Senior ASIC Engineer! NVIDIA is searching for an outstanding ASIC Engineer to build and implement an MMU for the world's top SoCs and GPUs. This position provides an opportunity to influence a dynamic technology company's products, from consumer graphics to autonomous vehicles. Positioned at the leading edge of artificial intelligence and deep learning, NVIDIA drives innovation in modern computing. Our team of remarkable professionals works worldwide, aiming to push the boundaries of today's possibilities and shape the future computing platform.

As a member of the MMU team, you will contribute to the development and implementation of a state-of-the-art memory management system with complex build requirements. Our approach delivers the performance required by autonomous vehicles, photo-realistic games and applications, as well as the world's leading supercomputers!

What you'll be doing:

  • As a Senior Design Engineer at NVIDIA, you will be responsible for the development and micro-architecture of a high-performance MMU for a GPU using advanced verification methodologies.

  • Contribute to architecture decisions.

  • Mentor other engineers on the team.

  • Collaborate with architects, designers, and software engineers across sites to accomplish your goals.

What we need to see:

  • Bachelors or Masters Degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.

  • 5+ years of relevant work or research experience.

  • Experience crafting memory subsystem units with properties such as memory coherency and arbitration policies.

  • Proficiency in Verilog, build and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, Synopsys).

  • A solid understanding of Object-Oriented Programming with C++ and/or SystemVerilog.

  • Strong communication skills are required.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 26, 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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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