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Internship Gpu Engineer Jobs in Oregon (NOW HIRING)

Senior Research Engineer - Enterprise Products

OR · On-site +1

$104K - $143K/yr

A history of mentoring junior engineers and interns is a huge plus. A desire to constantly grow and ... Knowledge of CPU and/or GPU architecture. GPU programming (CUDA). Your base salary will be ...

Graphics experience (GPU / CUDA) Job Type: Student / Intern Shift: Shift 1 (United States of ... Our standard internship rates are based on your degree, location, and the job role. Your recruiter ...

Senior AI Compiler Engineer, MLIR

OR · On-site +1

$122K - $161K/yr

Proficiency in GPU architecture with CUDA or OpenCL programming experience. A track record of mentoring early career engineers and interns is a bonus With competitive salaries and a generous benefits ...

Graphics experience (GPU / CUDA) Job Type: Student / Intern Shift: Shift 1 (United States of ... Our standard internship rates are based on your degree, location, and the job role. Your recruiter ...

Posted today

Graphics experience (GPU / CUDA) Job Type: Student / Intern Shift: Shift 1 (United States of ... Our standard internship rates are based on your degree, location, and the job role. Your recruiter ...

Senior Compiler Engineer, AI Inference Platforms

OR · On-site +1

$122K - $161K/yr

GPU kernel authoring and performance analysis using tools such as Nsight Compute. A track record of success in mentoring early-career engineers and interns is a bonus. Track record on new hardware ...

New

Senior Deep Learning Compiler Engineer - XLA

OR · On-site +1

$104K - $143K/yr

More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd:

Senior Math Libraries Engineer - Dense Linear Algebra

OR · On-site +1

$100K - $136K/yr

Did you know our team develops the GPU accelerated libraries and SDKs that help make these possible ... engineers, and interns working with you on projects Working closely with product management and ...

Senior Deep Learning Compiler Engineer

OR · On-site +1

$104K - $143K/yr

GPU kernel generation with high performance and fast build time. A track record of success in mentoring junior engineers and interns is a bonus. With highly competitive salaries and a comprehensive ...

New

Senior Math Libraries Engineer - AI and HPC

OR · On-site +1

$104K - $143K/yr

Did you know our team develops the GPU accelerated mathematical libraries that makes all of this ... interns. Working closely with product management and other internal and external customers to ...

New

Sr. Machine Learning Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

Debug and optimize training runs - Profile training jobs, resolve bottlenecks, improve GPU ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

... internship experiences and/or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ... and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering ...

Internship Gpu Engineer information

What is the difference between Internship Gpu Engineer vs Gpu Engineer?

AspectInternship Gpu EngineerGpu Engineer
CredentialsEnrolled in or recent graduate of relevant degree (Computer Science, Electrical Engineering)Bachelor's or Master's in related field, relevant certifications
Work EnvironmentInternship programs, entry-level projects, mentorshipFull-time, senior projects, independent responsibilities
Industry UsageTraining phase, learning environment, entry-level tasksDesign, develop, optimize GPU hardware/software solutions

In summary, an Internship Gpu Engineer is a temporary, learning-focused role for students or recent graduates, while a Gpu Engineer is a full-time professional responsible for advanced GPU development and implementation.

How much do internship GPU engineers make?

Internship GPU engineers typically earn between $20 and $40 per hour, depending on the company, location, and level of experience. Internships usually last 3 to 6 months and may include additional benefits such as mentorship and training in GPU programming tools like CUDA or OpenCL.

What are the most commonly searched types of Gpu Engineer jobs in Oregon?

The most popular types of Gpu Engineer jobs in Oregon are:

What are popular job titles related to Internship Gpu Engineer jobs in Oregon?

For Internship Gpu Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Internship Gpu Engineer jobs in Oregon look for?

The top searched job categories for Internship Gpu Engineer jobs in Oregon are:

What cities in Oregon are hiring for Internship Gpu Engineer jobs?

Cities in Oregon with the most Internship Gpu Engineer job openings:

Infographic showing various Internship Gpu Engineer job openings in Oregon as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Senior Research Engineer - Enterprise Products

Nvidia

OR • On-site, Remote

$104K - $143K/yr

Full-time

Re-posted 22 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

We are now looking for a Senior Research Engineer passionate about Generative AI inference. Are you excited to change the way people infuse AI into products and services. NVIDIA is at the forefront of generative AI models, from language to images.

NVIDIA provides building blocks to democratize AI and make generative AI easy to develop, integrate, and deploy. Our team is dedicated to developing optimized inferencing technologies to support our growing generative AI needs. We contribute to all steps of the machine learning lifecycle: from conceptualization, to applied research, engineering for optimized inference, and deployment.

Collaborate with research teams, engineers, and open-source community. What you will be doing: Design and evaluate routing policies for LLM traffic to best use mixture of model systems. Build and run agentic benchmarks (e.g., Terminal-Bench ) to measure algorithm quality, and turn results into calibration data and routing profiles Ship to an open-source repo: design docs, code review, docs, and community contributions Collaborating with engineering teams across all of NVIDIA to ensure our software integrates seamlessly up and down the NVIDIA accelerated serving stack

What we need to see: Bachelor's of Master's degree in Computer Science or equivalent experience. 8+ years of industry experience in Deep Learning frameworks (PyTorch or TensorFlow). Experience designing or running LLM evaluations/benchmarks - ideally agentic ones - and drawing statistically sound conclusions from them Understanding of modern techniques in Machine Learning, Deep Neural Networks, Natural Language Processing, or Speech Recognition.

Empirical research mindset: forming hypotheses about new algorithms, running calibrations, iterating on results Strong communication and interpersonal skills, along with the ability to work in a dynamic and distributed team. A history of mentoring junior engineers and interns is a huge plus. A desire to constantly grow and learn new things.

Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software. Ways to stand out from a crowd: Experience architecting or developing large-scale distributed systems for deep learning. Agentic benchmark creation and publications.

Knowledge of CPU and/or GPU architecture. GPU programming (CUDA). Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 192,000 USD - 304,750 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 July 14, 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