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Internship High Performance Computing Engineer Jobs in Portland, OR

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 ...

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 ...

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 ...

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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 Sep 12, 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 September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $132,583 per year, or $63.7 per hour.

Principal Software Engineer, DevOps and Tools

Portland, OR • On-site

Ampere Computing LLC
Manufacturing • 1 - 5K employees
Learn more about Ampere Computing LLCexternal

$56 - $76.50/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 4 days ago

Job description

Description
Invent the future with us.
Ampere is a semiconductor design company for a new era, leading the future of computing with an innovative approach to CPU design focused on high-performance, energy efficient AI compute.
As a pioneer in the new frontier of energy efficient high-performance computing, Ampere is part of the Softbank Group of companies driving sustainable computing for AI, Cloud, and edge applications.
Join us at Ampere and work alongside a passionate and growing team - we'd love to have you apply!
About the Role
We're hiring an individual contributor with strong technical depth who will act as a technical leader, architect, and planner for our DevOps, Tools, and Infrastructure team. This role is hands-on (roughly 60-70% coding/engineering) with clear technical leadership responsibilities (standards, design direction, code reviews, mentoring, and cross-team technical alignment) as well as 30-40% leadership and organizational responsibilities.
What You'll Achieve:
Contribute to our global GitLab and Python-based CI/CD infrastructure
  • Contribute to the end-to-end design and evolution Ampere's GitLab CI infrastructure across a global organization of developers.
  • Contribute to a global dependency management infrastructure that drives SW development across multiple product lines.
  • Instrument pipelines and workflows that enable industry leading SW development practices.
  • Develop and maintain production-grade CLIs, services, and tools that orchestrate CI workflows, artifact management, release activities, and developer tooling.
  • Create GitLab API/webhook integrations for policy enforcement (e.g., dependency policy checks, MR labeling), automated backports, and pipeline orchestration; build scalable retry and idempotency patterns.
  • Build data pipelines that publish pipeline, artifact, traceability, and dependency lineage to various industry standard database technologies (such as Postgres and Neo4J), enabling root-cause analysis, impact assessment, and reproducibility.

Run reliable CI infrastructure at scale
  • Provision and manage GitLab Runners and VM fleets for compute-heavy CI workloads using infrastructure as code (Terraform/Ansible); implement autoscaling, isolation, and prewarming to minimize queue times.
  • Operate and tune backing services: schema design, migrations, indexing, backups/point-in-time recovery, HA, and performance diagnostics.
  • Establish SLIs/SLOs for CI with observability, structured logging, and actionable alerts, lead incident response and postmortems.
  • Implement artifact, dependency, and container cache strategies to reduce cycle times while preserving determinism and integrity.
  • Perform regular upgrades (GitLab, runners, OS, databases), security patching and hardening, secrets/identity management, and disaster recovery drills; track capacity and cost and forecast growth.

Drive technical leadership and standards
  • Author, version, and maintain canonical specifications for processes and tools.
  • Lead technical designs and RFCs for CI platform evolution, dependency management policies, and data/reporting architecture; perform deep code reviews and mentor engineers on GitLab, Python, and operational best practices.
  • Define standards for data instrumentation and reporting schemas so teams can contribute analytics consistently.
  • Champion secure software supply chain practices (pinned digests, SBOMs, attestation/signing) integrated into CI templates.
  • Set and evangelize best practices for reproducible builds, ephemeral environments, artifact retention, and change management.

Drive prioritization, scheduling, and scoping of engineering deliverables for the DevOps team
  • Translate platform goals and stakeholder requirements into a sequenced, outcome-focused roadmap with clear acceptance criteria, dependencies, and risk mitigation.
  • Use data to drive decisions which prioritize by impact to SLIs/OKRs and communicate trade-offs and status to stakeholders.
  • Coordinate cross-functional deliveries that span CI, runners/VMs, Postgres/Neo4j, and analytics pipelines; align global teams on integration windows, rollout plans, and rollback strategies.
  • Establish change management practices (release notes, staged rollouts, canaries) and ensure documentation/specs remain current as the platform evolves.

About You:
  • Education & Experience: BS Computer Science, Computer Engineering, Electrical Engineering, or Software Engineering or related technical field & 8 years of related experience in software engineering/DevOps/SRE roles operating CI/CD systems in production environments; or MS degree & 6 years of related experience in software engineering/DevOps/SRE roles operating CI/CD systems in production environments; or PhD & 3 years of related experience in software engineering/DevOps/SRE roles operating CI/CD systems in production environments
  • Deep GitLab and GitLab CI expertise: Strong Python for automation and services
  • Solid Linux fundamentals.
  • Observability and operations: metrics/logs/tracing, Prometheus/Grafana, setting SLOs/SLIs, on-call/incident response and postmortems.
  • Demonstrated technical leadership: leading designs/RFCs, setting engineering standards, mentoring, and owning cross-team technical deliverables without direct authority.
What We'll Offer:
At Ampere we believe in taking care of our employees and providing a competitive total rewards package that includes base pay, cash long-term incentive, and comprehensive benefits. The full base pay range for this role is between $182,000 and $273,000, except in the San Francisco Bay Area where the range is between $195,000 and $292,000.
Our benefits include health, wellness, and financial programs that support employees through every stage of life.
Benefit highlights include:
  • Premium medical insurance, dental insurance, vision insurance, as well as income protection and a 401K retirement plan, so that you can feel secure in your health and financial future.
  • Unlimited Flextime and 10+ paid holidays so that you can embrace a healthy work-life balance.
  • A variety of healthy snacks, energizing espresso, and refreshing drinks to keep you fueled and focused throughout the day.

And there is much more than compensation and benefits. At Ampere, we foster an inclusive culture that empowers our employees to do more and grow more. We are excited to share more about our career opportunities with you through the interview process. Our benefits include health, wellness, and financial programs that support employees through every stage of life.
#LI-Hybrid
#LI-Hybrid#LI-DR
#LI-Hybrid
Ampere is an inclusive and equal opportunity employer and welcomes applicants from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, religion, age, veteran and/or military status, sex, sexual orientation, gender, gender identity, gender expression, physical or mental disability, or any other basis protected by federal, state or local law.

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