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Internship Nvidia Autonomous Driving Jobs in Portland, OR

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 ...

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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Internship Nvidia Autonomous Driving information

See Portland, OR salary details

$9

$16

$23

How much do internship nvidia autonomous driving jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for internship nvidia autonomous driving in Portland, OR is $16.49, according to ZipRecruiter salary data. Most workers in this role earn between $13.27 and $18.61 per hour, depending on experience, location, and employer.

What is the difference between Internship Nvidia Autonomous Driving vs Intern Nvidia Computer Vision?

AspectInternship Nvidia Autonomous DrivingIntern Nvidia Computer Vision
Required CredentialsEnrolled in Computer Science, Electrical Engineering, or related fields; some knowledge of AI and roboticsEnrolled in Computer Science, Electrical Engineering, or related fields; strong programming skills in Python/C++
Work EnvironmentResearch labs, automotive industry projects, collaborative teamsResearch labs, AI development teams, tech industry settings
Employer & Industry UsageUsed by Nvidia in autonomous vehicle projects and automotive industryUsed by Nvidia in AI and computer vision applications across various sectors

Both internships involve AI, programming, and hardware knowledge, but the Autonomous Driving role focuses on vehicle systems and robotics, while Computer Vision emphasizes image processing and AI algorithms. Candidates should choose based on their interest in automotive applications versus general AI and vision tech.

What are the most commonly searched types of Nvidia Autonomous Driving jobs in Portland, OR?

The most popular types of Nvidia Autonomous Driving jobs in Portland, OR are:

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For Internship Nvidia Autonomous Driving jobs in Portland, OR, the most frequently searched job titles are:

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The top searched job categories for Internship Nvidia Autonomous Driving jobs in Portland, OR are:

Senior Software Engineer, CUTLASS Performance

Nvidia

Hillsboro, OR • On-site

$133K - $175K/yr

Full-time

Re-posted 7 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's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are enthusiastic about performance and eager to help bridge the gap between current performance and what's theoretically possible, apply to join the CUTLASS team today. What you'll be doing: Benchmark the performance of state-of-the-art deep learning models' inference and training passes to identify key GPU kernel and fusion opportunities. Identify gaps between theoretical and realized performance, and suggest software improvements or model adjustments to resolve them.

Develop tooling to automate the benchmarking, analysis, and performance optimization loop to push the limit of CUTLASS kernel performance within DL networks. Be the authoritative resource on kernel performance in the team and engage with teams across NVIDIA including GPU architecture, DL frameworks, and QA as the performance representative for the CUTLASS team. What we need to see: Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

3+ years of relevant industry experience. Strong programming skills in Python and C++. Experience in software performance analysis and optimization.

Deep understanding of computer architecture and familiarity with GPUs or similar parallel processing architectures. Ways to stand out from the crowd: Deep understanding of state-of-the art DL model architectures. Hands-on experience with performance benchmarking of DL frameworks like PyTorch, JAX, SGLang, vLLM, TRT-LLM, or others.

Experience in developing performance models and performance regression systems. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us.

If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. 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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 5, 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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Workplace

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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