ZipRecruiter

Log In

1

Internship High Performance Computing Engineer Jobs in Portland, OR

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

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 ...

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 ...

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 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 ...

next page

Showing results 1-20

All 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

$11

$63

$104

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

As of Jun 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 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.
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 June 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% In-person job distribution, with an average salary of $132,583 per year, or $63.7 per hour.
Senior Middleware Development Engineer

Senior Middleware Development Engineer

Intel

Hillsboro, OR

$128K - $245K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday

Intel rating

8.8

Company rating: 8.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

8th of 139 rated electronics manufacturers

Job description

Job Details:Job Description: 

Build the Future of High-Performance Computing

Join Intel's Communication Runtimes team and develop cutting-edge software that powers the world's most advanced supercomputers and AI systems. Work on communication libraries that enable breakthrough scientific discoveries and machine learning innovations at unprecedented scale.
What You'll Create - Next-Generation Communication Libraries

  • Design, develop, and maintain features and optimizations primarily focused on Intel SHMEM (Shared Memory Access) with potential to contribute to Intel MPI (Message Passing Interface), MPICH, and Intel oneCCL (Collective Communications Library)
  • Optimize software for exceptional performance: low latency, high bandwidth, and maximum reliability
  • Build expertise with cutting-edge Intel GPUs and CPUs powering today's data centers


Revolutionary Impact

  • Collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs
  • Make meaningful contributions that advance scientific computing and machine learning capabilities
  • Work across multiple levels of the communications stack to solve complex distributed computing challenges


Cross-Functional Excellence

  • Partner with cross-functional teams to define software requirements and technical specifications
  • Drive performance optimizations that push the boundaries of what's possible in high-performance computing
  • Contribute to software that enables breakthrough research in climate modeling, drug discovery, and AI


Essential Skills

  • Self-driven with high motivation to learn emerging technologies
  • Outstanding analytical and problem-solving abilities
  • Excellent communication skills for technical collaboration
  • Passion for making meaningful impact in scientific computing
Qualifications:

Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or STEM-related field and 3+ years of relevant industry, internship, or research experience
  • 3+ years of C and C++ programming experience
  • 3+ years of Linux development experience
  • Experience with multithreaded programming
  • Experience in one or more of the following:
    • Distributed computing systems
    • HPC (High-Performance Computing) communications libraries
    • Collective communications libraries (i.e., MPI, oneCCL/NCCL, SHMEM)
    • GPU software development
    • Network communications stack development

Preferred Qualifications

  • Post-graduate degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or STEM field
  • Performance Optimization: Experience developing optimizations that improve communications latency or throughput
  • Advanced Debugging: Experience troubleshooting complex issues across multiple hardware and software stack layers


Why This Role Matters

  • Scientific Impact: Your code will enable groundbreaking research and discoveries
  • AI Revolution: Power the next generation of machine learning and AI systems
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, Texas, AustinBusiness 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: $128,880.00-245,160.00 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.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Intel logo

About Intel

Sourced by ZipRecruiter

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

View All Intel Jobs

Apply