1

Temporary Nvidia Autonomous Driving Jobs in Oregon

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

$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 ...

next page

Showing results 1-20

Temporary Nvidia Autonomous Driving information

What is a temporary Nvidia autonomous driving job?

Temporary Nvidia Autonomous Driving jobs are short-term positions at Nvidia focused on developing, testing, or supporting autonomous vehicle technologies. These roles may involve software engineering, data analysis, system testing, or support functions related to self-driving car platforms. Temporary roles are typically project-based, offering opportunities to work on cutting-edge artificial intelligence and robotics applications within the autonomous driving sector. Such positions provide valuable experience in the fast-evolving field of automated vehicles, even if they are not permanent.

What skills and qualifications are needed for a temporary Nvidia autonomous driving engineer?

To excel as a Temporary Nvidia Autonomous Driving Engineer, you need strong programming skills (especially in C++ and Python), a solid background in robotics or computer vision, and typically a degree in computer science, engineering, or a related field. Experience with autonomous vehicle platforms, Nvidia DRIVE, deep learning frameworks (like TensorFlow or PyTorch), and familiarity with sensor fusion technologies are highly valued. Excellent problem-solving abilities, teamwork, and adaptability are crucial soft skills for integrating new technologies and collaborating across multidisciplinary teams. These competencies ensure safe, innovative solutions in the rapidly evolving field of autonomous vehicles.

What are common challenges faced by a temporary Nvidia autonomous driving specialist, and how can applicants prepare for them?

Temporary specialists in Nvidia's Autonomous Driving division often encounter fast-paced project timelines and rapidly evolving technical requirements. Adapting quickly to new tools, frameworks, and proprietary systems is essential, as is a willingness to collaborate across multidisciplinary teams such as software engineering, data annotation, and hardware integration. Applicants can prepare by demonstrating strong foundational knowledge in machine learning, computer vision, and robotics, as well as effective communication skills to navigate a dynamic, innovative environment.
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 Temporary Nvidia Autonomous Driving jobs in Oregon? For Temporary Nvidia Autonomous Driving jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Temporary Nvidia Autonomous Driving jobs in Oregon look for? The top searched job categories for Temporary Nvidia Autonomous Driving jobs in Oregon are:
What cities in Oregon are hiring for Temporary Nvidia Autonomous Driving jobs? Cities in Oregon with the most Temporary Nvidia Autonomous Driving job openings:

Senior ASIC Design Engineer - GPU

Nvidia

Hillsboro, OR • Hybrid

Full-time

Posted 18 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 242 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

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