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Internship High Performance Computing Engineer Jobs in Oregon

Nvidia

Manager, Compiler Engineering

Hillsboro, OR

Our GPUs are being used in many of the largest high performance computing projects around the world ... A software engineer with 10+ overall years of experience with at least 4+ years of hands-on ...

Nvidia

Manager, Compiler Engineering

OR · On-site +1

Our GPUs are being used in many of the largest high performance computing projects around the world ... D. or Masters preferred) A software engineer with 10+ overall years of experience with at least 4+ ...

Nvidia

Manager, Compiler Engineering

Hillsboro, OR · On-site

Our GPUs are being used in many of the largest high performance computing projects around the world ... D. or Masters preferred) A software engineer with 10+ overall years of experience with at least 4+ ...

Nvidia

Senior Performance Compiler Engineer - Triton

OR · On-site +1

... or high-performance computing domains. With competitive salaries and a generous benefits package ... If you're a creative and autonomous engineer with a real passion for technology, we want to hear ...

Nvidia

Senior Deep Learning Compiler Engineer - XLA

OR · On-site +1

$104K - $143K/yr

Knowledge of high-performance computing and distributed programming. CUDA or OpenCL programming ... A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd:

Nvidia

HPC Middleware Developer

OR · On-site +1

We are now looking for a senior HPC software engineer. As a member of our the High Performance Computing Software development team, you will be responsible for designing and implementing new ...

Nvidia

Senior High-Performance Storage Architect - NVIS

OR · On-site +1

$166K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... A four-year degree in Computer Science, Electrical or Computer Engineering, or equivalent ...

Nvidia

Senior Fortran Compiler Engineer

OR · On-site +1

$104K - $143K/yr

... high-performance computing, then we want you. We're implementing Flang with a keen interest in high ... Solve difficult problems at the intersection of compilers, programming models, and high-performance ...

Nvidia

Senior Fortran Compiler Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

... high-performance computing, then we want you. We're implementing Flang with a keen interest in high ... Solve difficult problems at the intersection of compilers, programming models, and high-performance ...

Nvidia

Senior Performance Engineer - DGX Cloud

OR · On-site +1

$104K - $143K/yr

We are seeking a Senior Performance Engineer to characterize workloads, establish performance ... High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex ...

Nvidia

Senior Fortran Compiler Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

... high-performance computing, then we want you! We're implementing Flang with a keen interest in high ... Solve difficult problems at the intersection of compilers, programming models, and high-performance ...

Nvidia

Senior Performance Engineer - DGX Cloud

OR · On-site +1

$104K - $143K/yr

We are seeking a Senior Performance Engineer to characterize workloads, establish performance ... High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex ...

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Internship High Performance Computing Engineer information

What is an internship high performance computing engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an internship high performance computing engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.

What are the key skills and qualifications needed to thrive as an internship high performance computing engineer?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

What is the difference between Internship High Performance Computing Engineer vs Internship Data Scientist?

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What are popular job titles related to Internship High Performance Computing Engineer jobs in Oregon?

For Internship High Performance Computing Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Internship High Performance Computing Engineer jobs in Oregon look for?

The top searched job categories for Internship High Performance Computing Engineer jobs in Oregon are:

What cities in Oregon are hiring for Internship High Performance Computing Engineer jobs?

Cities in Oregon with the most Internship High Performance Computing Engineer job openings:

Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Senior Software Engineer, CUTLASS Performance

Hillsboro, OR • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$133K - $175K/yr

Full-time

Re-posted 10 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.

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

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