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Internship High Performance Computing Engineer Jobs in Seattle, WA

Nvidia

Senior Performance Engineer - DGX Cloud

Redmond, WA · On-site

$117K - $160K/yr

We are seeking a Senior Performance Engineer to characterize workloads, establish performance ... High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex ...

Amazon

Software Dev Engineer, EC2 Nitro

Seattle, WA

$159K/yr

We're seeking an exceptional Software Development Engineer to build and optimize the performance ... high-performance computing, distributed systems, and machine learning technologies. Key job ...

Amazon

Software Dev Engineer, EC2 Nitro

Seattle, WA · On-site

$159K/yr

We're seeking an exceptional Software Development Engineer to build and optimize the performance ... high-performance computing, distributed systems, and machine learning technologies. Key job ...

Doist

Advisor to the Chief of Staff

Bellevue, WA · On-site

$150 - $210/hr

... engineering teams. Position Summary As Advisor to the Chief of Staff, you will help shape technology strategy across AI infrastructure, cloud computing, high-performance computing, and emerging ...

Doist

Advisor to the Chief of Staff

Bellevue, WA · On-site

$180 - $240/hr

... engineering teams.## Position SummaryAs Advisor to the Chief of Staff, you will help shape technology strategy across AI infrastructure, cloud computing, high-performance computing, and emerging ...

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Internship High Performance Computing Engineer information

See Seattle, WA salary details

$12

$68

$111

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

As of Aug 20, 2026, the average hourly pay for internship high performance computing engineer in Seattle, WA is $68.40, according to ZipRecruiter salary data. Most workers in this role earn between $56.06 and $77.40 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.

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Cities near Seattle, WA with the most Internship High Performance Computing Engineer job openings:

Internship High Performance Computing Engineer jobs near you

Site Reliability Engineer - HPC & Automation (Silicon Engineering)

SpaceX

Redmond, WA • On-site

$145K - $175K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

17th of 72 rated aerospace companies

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SITE RELIABILITY ENGINEER - HPC & AUTOMATION (SILICON ENGINEERING)
At SpaceX we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation and is providing fast, reliable internet to millions of users worldwide. We design, build, test, and operate all parts of the system - thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We've only begun to scratch the surface of Starlink's potential global impact and are looking for best-in-class engineers to help maximize Starlink's utility for communities and businesses around the globe.
We are seeking a motivated, proactive, and intellectually curious engineer who will work alongside world-class cross-disciplinary teams (systems, firmware, architecture, design, validation, product engineering, ASIC implementation). As a Site Reliability Engineer on the Silicon Engineering team you will get the opportunity to design, operate, scale, and automate the high performance computing infrastructure we use to develop the chips powering the world's largest satellite constellation and a global internet service. This position will have a meaningful impact on Starlink silicon by enabling faster design-iterations, simulations, and regression turnaround times that gate how fast our chip teams can ship.
RESPONSIBILITIES:
  • Deploy, upgrade, operate, maintain, and scale our suite of clusters and services
  • Collaborate with engineers to develop automated, full turnkey solutions for silicon simulation workflows to speed up project timelines
  • Manage our underlying infrastructure as code and use modern observability tools to provide a complete picture of cluster and infrastructure health
  • Operate the continuous integration pipeline, build and release systems, and version control across the environment
  • Identify and eliminate performance bottlenecks using measurement and creative engineering

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, information systems, or an engineering discipline; OR 2+ years of professional experience in system administration, high performance computing, or site reliability engineering
  • 1+ years of development experience with Bash, Python, and/or other programming languages
  • 1+ years of experience with Linux operating systems

PREFERRED SKILLS AND EXPERIENCE:
  • Familiarity with containerization technologies (i.e. Docker, Kubernetes)
  • Knowledge in computer system concepts (computer architecture, computer organization, operating systems and concurrency)
  • Experience with databases and data modeling (e.g., MySQL, PostgreSQL, SQLite)
  • Networking knowledge of TCP/IP
  • Experience with high performance computing and workload managers (e.g., Slurm, LSF)
  • Experience with Terraform, Ansible, Puppet, or similar automation frameworks
  • Experience building monitoring and alerting as code (e.g., Grafana, Prometheus, custom exporters)
  • Experience with CI/CD automation at scale (e.g., Jenkins, Bamboo, build systems)
  • Experience with infrastructure as code (IaC) tools for managing fleets of servers
  • Experience with using & building REST API clients/servers
  • Experience with enterprise/networked storage automation (e.g., NetApp ONTAP REST API/CLI, NFS)
  • Experience with ASIC design flows and tools (e.g., Cadence, Synopsys, Ansys, Keysight, Siemens)
  • Strong desire to find performance bottlenecks and performance improvement techniques
  • Excellent communication skills with the ability to communicate with customers, peers, management, etc. in both formal and informal situations
  • Ability to quickly learn new tools and frameworks
  • Interest in or experience with AI/LLM-assisted tooling (e.g., Grok, Claude Code)

ADDITIONAL REQUIREMENTS:
  • Ability to work extended hours and weekends as needed to meet critical milestones

COMPENSATION AND BENEFITS:
Pay Range:
Level 1: $125,000.00 - $150,000.00
Level 2: $145,000.00 - $175,000.00
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.
ITAR REQUIREMENTS:
    Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to

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Hours and flexibility

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About SpaceX

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Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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