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Internship High Performance Computing Engineer Jobs in Oregon

Ampere Computing LLC

Logic Engineer

Portland, OR · On-site

$118K - $177K/yr

As a pioneer of energy efficient high-performance computing, Ampere is part of the SoftBank Group ... Relevant internships or academic projects involving digital logic design, microarchitecture, or SoC ...

Nvidia

OR · On-site

$104K - $143K/yr

... engineering teams. What you'll be doing: * Assist customers GPU accelerate HPC applications ... Analyze High Performance Computing (HPC) applications to better understand their performance ...

NVIDIA

Senior Fortran Compiler Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

NVIDIA's HPC compiler group is seeking a Fortran compiler developer to contribute to the development of a leading optimizing compiler for high-performance computing. The role involves solving complex ...

NVIDIA

Manager, Compiler Engineering

Hillsboro, OR · On-site

NVIDIA is a leader in GPU technology and high-performance computing. They are seeking a Compiler Engineering Manager to lead a team focused on optimizing compiler products for high-performance ...

Intel

Senior CPU Performance Architect

Hillsboro, OR

$181K/yr

... high-performance computing and extreme low-power products. This position offers the unique ... Collaborates with architects, design, verification, and validation engineers during the execution ...

Nvidia

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

... high-performance computing (HPC), cloud service providers (CSP), gaming, virtual reality, and ... What we need to see: * BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or ...

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 ... A software engineer with 10+ overall years of experience with at least 4+ years of hands-on ...

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 ...

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Internship High Performance Computing Engineer information

What are the key skills and qualifications needed to thrive as an Internship High Performance Computing (HPC) Engineer, and why are they important?

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 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.
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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 100% Full Time. Highlights an 100% In-person job distribution.
Senior Software Engineer, CUTLASS Platform

Senior Software Engineer, CUTLASS Platform

NVIDIA

Hillsboro, OR • On-site

$133K - $175K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
NVIDIA is a leader in high-performance computing platforms powering the AI revolution across various applications and industries. They are looking for a Senior Software Engineer to develop core components of the CUTLASS platform, focusing on Tensor Core and GPU hardware features to enable high-performance kernels.
Responsibilities:
• Develop core components of the CUTLASS platform including Tensor Core MMAs, copies, synchronization barriers, schedulers, and other GPU hardware features in CUDA C++ and CUTLASS Python DSL.
• Contribute to the advancement of the MLIR-based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated compiler passes.
• Author example kernels utilizing CUTLASS abstractions to showcase the use of novel GPU hardware features that are crucial for achieving high performance.
• Collaborate with GPU architecture, CUDA, and NVVM/PTX compiler teams to provide feedback on programming models and to assess the performance of future GPU hardware features.
Qualifications:
Required:
• Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
• 3+ years of relevant industry experience.
• Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing.
• Experience working with high-performance code generation and knowledge of compiler transformations and optimizations.
• A deep understanding of computer architecture and parallel computing programming models.
Preferred:
• Experience writing high-performance kernels at low levels of abstractions like NVVM/ PTX for GPUs or other similar parallel processing architectures.
• Hands-on compiler design experience, particularly in MLIR.
• Understanding of deep learning models, algorithms, and frameworks.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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

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