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Internship High Performance Computing Engineer Jobs in Oregon

Nvidia

Senior Fortran Compiler Engineer

Hillsboro, OR

$113.80K - $156.30K/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 Corporation

Senior Fortran Compiler Engineer

Hillsboro, OR · On-site

$113.80K - $156.30K/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

OR

$104.40K - $143.40K/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

OR

$122.40K - $161.30K/yr

... High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex ... We are looking for highly motivated Senior Software Engineers to work on our GPU Fabric Networking ...

Intel

AI Performance Library Architect

Hillsboro, OR

$170.50K - $315.49K/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

OR

Formulate benchmarking methods for high-performance computing and AI tasks. Perform and bring these ... Work directly with engineering and collaborate with internal partners to understand their ...

Nvidia

OR

$108.40K - $147.40K/yr

... High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex ... Join our team of innovative engineers who develop and maintain software facilitating GPU ...

Nvidia

Senior CPU Performance Architect

Hillsboro, OR

$181.90K/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 ...

Intel

Senior CPU Power Management Architect

Hillsboro, OR

$190.61K - $361.48K/yr

... high-performance computing and low-power products. This role is integral to Intel's mission to ... Minimum Qualifications * BS in electrical and computer engineering * 10+ years of experience ...

Nvidia

OR

Coordinate the development of High Performance Computing (HPC) clusters, collaborating closely with internal and external engineering teams. * Direct and improve GPU capacity and additional compute ...

Nvidia

OR · Hybrid

$54.50 - $72/hr

... Engineer for High-Performance Databases! Would you enjoyresearching new algorithms and memory ... Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data ...

Nvidia

OR

... high-performance computing, and financial markets. In this role, you'll dive deep into parallel ... Prior internship experience in a related field. * Experience with inference optimization techniques ...

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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 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 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 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 May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Fortran Compiler Engineer

Senior Fortran Compiler Engineer

Nvidia

Hillsboro, OR

$113.80K - $156.30K/yr

Full-time

Posted 27 days ago

Job description

NVIDIA's HPC compiler group wants to hire a Fortran compiler developer to join the team building one of the world's most important optimizing compilers. If you want a front-row seat to state of the art compiler development for high-performance computing, then we want you! We're implementing Flang with a keen interest in high-level optimization of Fortran, OpenACC, and OpenMP.

What you'll be doing:

  • Solve difficult problems at the intersection of compilers, programming models, and high-performance computing architectures

  • Implement and improve features in LLVM Flang, OpenACC, and OpenMP.

  • Participate in the evolution of standard language parallelism for GPUs and Multicore CPUs

  • Balance individual effort with teamwork throughout debugging, prototyping, and productization

  • Discuss and refine software designs and implementation strategies with peers

  • Partner with application teams to investigate interesting and meaningful compilation challenges from the HPC community

What we need to see:

  • 6+ years experience working on a production Fortran compiler

  • Bachelors, Masters, or Ph.D. Degree in Computer Science, ECE or equivalent experience

  • Proven understanding of compiler internals including experience with semantic analysis

  • Knowledge of programming fundamentals, especially in C/C++, with a deep understanding of parallel computer architectures and optimizations

Ways to stand out from the crowd:

  • Deep understanding of Fortran semantics

  • Direct experience with Flang is a huge plus

  • Experience writing code using Modern C++

  • Familiarity with OpenACC, OpenMP, or CUDA

  • You have a real passion for compiler development

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 program manager 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 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 5, 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.
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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