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Internship High Performance Computing Engineer Jobs in Oregon

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 Architect, Data Center Modeling

Hillsboro, OR · On-site

$73.25 - $98/hr

... high-performance computing and AI technologies. Qualifications : Required : • Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent ...

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

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

Senior Architect, Data Center Modeling

Hillsboro, OR · On-site

$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

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 ...

Introl

Data Center Technician

Portland, OR · On-site

$22 - $35/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

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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.
AI Performance Library Architect

AI Performance Library Architect

Intel

Hillsboro, OR

$170K - $315K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

10th of 141 rated electronics manufacturers

Job description

Job Details:Job Description: 

Software and AI (SAI) organization is looking for a software development engineer to work on oneDNN project ( https://github.com/uxlfoundation/oneDNN ). oneDNN is a complex cross-platform open-source software project focusing on neural network performance. oneDNN is a critical and highly visible component of Intel AI strategy, powering key AI applications including OpenVINO, Tensorflow, Pytorch, ONNX Runtime, and more. In this role, you will be responsible for design, development, and maintenance of new functionality in oneDNN to enable performance critical portions of AI workloads. In this role you will be supporting software developers optimizing AI frameworks and workloads for Intel CPUs and GPUs, as well as cross-platform ecosystem of AI software developers contributing to oneDNN.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.

Minimum requirements:

  • Master's degree in Mathematics, Physics, Computer Science, or a relevant STEM field. OR
  • Ph.D. degree in Mathematics, Physics, Computer Science, or a relevant STEM field.
  • 5+ years of experience in the following areas:
    • C and C++
    • Maintaining or contributing to open-source software projects
    • Software libraries design and architecture
    • Implementation of linear algebra algorithms (functions from BLAS, LAPACK, or PyTorch)
    • Performance engineering and software performance optimizations
    • Floating point arithmetic and numerical stability
    • Software development on Linux
    • Low-level performance optimizations using CUDA, x86 assembly or intrinsics, or OpenCL

Preferred qualifications:

  • 3 years+ Machine learning and deep learning algorithms or High-performance computing (HPC) applications development
  • 3 year+ Floating point implementations of transcendental functions (sin, cos, tanh, elu, etc)
  • 1 year+ Algorithms for non-IEEE low precision data types (bfloat16, fp8, fp4)
  • 1 year+ AI assisted software development

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and/or schoolwork/classes/research.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, FolsomBusiness group:The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $170,500.00-315,490.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

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Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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