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Internship High Performance Computing Engineer Jobs in Oregon

Nvidia

OR · On-site

High Performance Computing (HPC) and Artificial Intelligence (AI) are key markets for NVIDIA ... Engineer to own the technical engagements for a rapidly growing Open Hackathons and Bootcamps ...

Nvidia

OR

NVIDIA is seeking an accomplished and visionary Developer Relations Manager to lead strategic ... Demonstrates outstanding technical depth in AI and high-performance computing software, including ...

Nvidia

OR

$67.25 - $90/hr

... high-performance computing and AI technologies. What we need to see: * Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience ...

Nvidia

Senior Architect, Data Center Modeling

Hillsboro, OR

$73.25 - $98/hr

... high-performance computing and AI technologies. What we need to see: * Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience ...

Intel

Power and Performance Architect

Hillsboro, OR · On-site

$164.47K - $232.19K/yr

Background in high performance computing, graphics, or AI accelerator architectures. Experience in ... Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions ...

Nvidia

OR

$166.80K/yr

Cloud Systems, High-Performance Computing, and Cloud Gaming. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you. Your base salary will ...

Nvidia

OR

NVIDIA seeks a Developer Relations Manager to lead our work in architecting impactful usage and ... We are interested in finding a leader in high performance numerical computing to define and guide ...

Nvidia

OR · On-site

Experience working with the engineering or academic research community supporting high-performance computing or deep learning Your base salary will be determined based on your location, experience ...

Nvidia

OR · On-site

We are looking for a dedicated engineer with expertise in GPU-programming and compilers that is ... largest high-performance computing projects around the world. We have some of the most forward ...

Nvidia

OR

We are looking for a dedicated engineer with expertise building extensible toolchains and ... largest high-performance computing projects around the world. We have some of the most forward ...

Intel

Middleware Development Engineer

Hillsboro, OR

The Role and Impact Join Intel's Communication Runtimes team to shape the future of High-Performance Computing (HPC) and Artificial Intelligence (AI). As a Middleware Development Engineer, you will ...

Intel

Middleware Development Engineer

Hillsboro, OR

The Role and Impact Join Intel's Communication Runtimes team to shape the future of High-Performance Computing (HPC) and Artificial Intelligence (AI). As a Middleware Development Engineer, you will ...

Barge Design Solutions

... AI, and high-performance computing infrastructure. What You Get: Meaningful Project Work ... Collaborative Engineering Culture - Work alongside electrical, controls, and structural engineers ...

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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.

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

Senior Developer Advocate Engineer

Nvidia

On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

High Performance Computing (HPC) and Artificial Intelligence (AI) are key markets for NVIDIA. Researchers and scientists actively embrace full-stack optimizations to accelerate their workloads and research. To help them onboard Accelerated Computing, NVIDIA leads a series of hackathons and bootcamps in partnership with national laboratories, universities, and enterprises. Hackathons are short-typically week-long-intensive coding sessions where experienced mentors team up with groups of researchers and data scientists to guide them through the acceleration or optimization of their projects across accelerated infrastructure and enterprise-grade software, using a variety of programming models, frameworks, and tools.

We are looking for a Senior Developer Advocate Engineer to own the technical engagements for a rapidly growing Open Hackathons and Bootcamps program. In this position, you will closely collaborate with scientists at universities, supercomputing centers, and enterprise organizations to help their users start using the NVIDIA accelerated computing stack (CPU and GPU technologies) for their work, optimize codes and AI workflows, promote their research, and build a growing community. You will build strategic relationships with our partners, mentor at hackathons, and help craft materials to educate attendees and prepare them for hackathons. Do you have a passion for research, connecting people, and mentoring? If so, we would like to speak with you right away!

What you'll be doing:

  • Stay abreast of the latest developments in HPC and AI technologies and develop proof-of-concept solutions for real-world scientific and enterprise applications.

  • Build and refine training materials, and mentor team members at the events.

  • Collaborate and provide feedback to NVIDIA product teams to help with product adoption, bugs, feature requests, and additional activities through our hackathon program.

  • Promote through publishing blogs and papers, facilitating presentations, and using other media that convey the impact of the work accomplished by teams at the hackathons.

  • Mentor developers and researchers to integrate NVIDIA technology using AI & HPC architecture to support scientific and enterprise applications.

  • Strategize, identify, and assess potential sites, mentors, and key applications for Open Hackathons and Bootcamps.

  • Assess each hackathon's computing and software infrastructure.

  • Write comprehensive internal feedback reports and find opportunities for improvement.

What we need to see:

  • 8+ Years of enterprise/academic experience in the Artificial Intelligence and High Performance Computing domain.

  • Master's degree in Science or Computer Engineering (or equivalent experience)

  • Fluent in using NVIDIA accelerated computing stack for HPC and AI workloads

  • Capability to think strategically, while jumping directly into day-to-day event and account management.

  • Ability to thrive in a highly dynamic environment and to lead change through multi-functional teamwork.

  • Proven ability to understand partners' goals and distill that feedback into an action plan that addresses core needs.

  • Excellent verbal, written, and interpersonal communication skills.

Ways to stand out from the crowd:

  • Experience in deploying and managing data center scale applications for HPC, ML & DL.

  • Past work using NVIDIA AI software stack for Research and deployments.

  • Worked in NVIDIA CUDA architecture for code optimizations.

  • Experience in facilitating and instructing at group training events.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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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