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Internship High Performance Computing Engineer Jobs in Portland, OR

NVIDIA Gruppe

Manager, Compiler Engineering

Hillsboro, OR · On-site

$224 - $356.50/hr

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 ...

Intel

AI Performance Library Architect

Hillsboro, OR

$170K - $315K/yr

... or High-performance computing (HPC) applications development * 3 year+ Floating point ... The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and ...

Nvidia

Senior Fortran Compiler Engineer

Hillsboro, OR

$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 CPU Performance Architect

Hillsboro, OR

$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 ...

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All JobsHigh Performance Computing Engineer JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Portland, OR

Internship High Performance Computing Engineer information

See Portland, OR salary details

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How much do internship high performance computing engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship high performance computing engineer in Portland, OR is $63.74, according to ZipRecruiter salary data. Most workers in this role earn between $52.26 and $72.16 per hour, depending on experience, location, and employer.

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 Portland, OR?

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

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

The top searched job categories for Internship High Performance Computing Engineer jobs in Portland, OR are:

Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $132,583 per year, or $63.7 per hour.

Manager, Compiler Engineering

NVIDIA Gruppe

Hillsboro, OR • On-site

$224 - $356.50/hr

Other

Posted 15 days ago

Job description

NVIDIA's invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Our GPUs are being used in many of the largest high performance computing projects around the world, solving real world problems. Our products are used to build and parallelize the most meaningful scientific applications in the world for weather modeling, climatology, fluid dynamics and defense. We support real science and scientists throughout the world.

We are now looking for a Compiler Engineering Manager

NVIDIA’s HPC Compiler team is looking to hire a Compiler Engineering Manager to join the team building one of the world's most important optimizing compiler products. Your work will support development of compilers for high-performance computing and drive the underlying technology that powers GPU code generation for Python, C++, Fortran, OpenACC and OpenMP. Do you love the inherent challenges of complex software projects and driving systemic improvements in compiler performance and development methodologies? Are you self‑motivated and comfortable in a fast‑paced team? Being a compiler engineering manager requires both traditional software management skills and a dedication to the success of our end users. We are looking for a manager to lead teams working on compiling Python, C++, and Fortran HPC applications, measuring performance, and charting the journey to speed‑of‑light execution. If you want to drive innovative compiler development in high-performance computing, then we want you!

What you'll be doing
  • Managing a team of experienced compiler and performance engineers
  • Establish team objectives to meet schedules and goals
  • Act as a mentor and advisor to grow our next generation of leaders
  • Establish and evolve policies and procedures that affect the immediate organization
  • Communicate with senior management for team vision and development
What we need to see
  • Degree in Computer Science, ECE or equivalent experience; (Ph.D. or Masters preferred)
  • A software engineer with 10+ overall years of experience with at least 4+ years of hands‑on management
  • Strong software design fundamentals and a deep understanding of compilers and programming languages
  • Knowledge of software engineering principles
Ways to stand out from the crowd
  • Contributing to LLVM or other open source projects
  • Familiarity with GPU code generation, OpenMP, and OpenACC standards
  • Knowledge of compiler internals from front end to run‑time environment

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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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