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Internship High Performance Computing Engineer Jobs in Tacoma, WA

Software Dev Engineer, EC2 Nitro

Seattle, WA · On-site

$159K/yr

... high-performance computing, distributed systems, and machine learning technologies. Key job ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Software Dev Engineer, EC2 Nitro

Seattle, WA · On-site

$159K/yr

... high-performance computing, distributed systems, and machine learning technologies. Key job ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

This position offers the opportunity to deepen your expertise in parallel processing and high-performance computing, with exposure to CUDA programming, positioning you at the forefront of ...

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 ...

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 ...

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 ...

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 ...

Senior C++ Software Engineer

Seattle, WA · On-site

$141K - $225K/yr

This position offers the opportunity to deepen your expertise in parallel processing and high-performance computing, with exposure to CUDA programming, positioning you at the forefront of ...

Experience building or scaling networking products within cloud, hyperscale, or high-performance computing environments * Background working closely with infrastructure or platform engineering teams

Experience building or scaling networking products within cloud, hyperscale, or high-performance computing environments * Background working closely with infrastructure or platform engineering teams

... and high-performance computing at customer sites and in the lab. You will work directly with ... Scripting and programming - bash scripting is required; must be familiar with one or more other ...

... high-performance computing, and artificial intelligence. Our technology powers everything from ... We are looking for a strong AI & HPC Observability Engineer to build and scale next-generation ...

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Internship High Performance Computing Engineer information

See Tacoma, WA salary details

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$64

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

As of Jul 30, 2026, the average hourly pay for internship high performance computing engineer in Tacoma, WA is $64.55, according to ZipRecruiter salary data. Most workers in this role earn between $52.93 and $73.08 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 the most commonly searched types of High Performance Computing Engineer jobs in Tacoma, WA? The most popular types of High Performance Computing Engineer jobs in Tacoma, WA are:
What job categories do people searching Internship High Performance Computing Engineer jobs in Tacoma, WA look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Tacoma, WA are:
What cities near Tacoma, WA are hiring for Internship High Performance Computing Engineer jobs? Cities near Tacoma, WA with the most Internship High Performance Computing Engineer job openings:

Senior Manager, Google Cloud, High-Performance Computing

Google

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

51st of 246 rated software companies


Job description

info_outline
X The application window will be open until at least August 7, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Reston, VA, USA; Sunnyvale, CA, USA; New York, NY, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in enterprise technology or cloud sales, management consulting, or partner management with business development.
  • 3 years of experience leading teams in a technical customer-facing role within professional services or sales engineering.
  • Ability to travel up to 25% of the time.

Preferred qualifications:
  • 10 years of experience in people management with profit and loss responsibility.
  • Experience with software life-cycle, building tools, and architecting and developing software for scalable distributed systems, including data platform, AI/ML, and infrastructure.
  • Experience managing a team through sales processes, operations, and career development, including account mapping, quota setting, quarterly/annual performance management, and managing sensitive information.
  • Understanding of the High Performance Computing (HPC) market, products, and different customer segments/use cases of the emerging AI compute tech stack.

About the job
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a part of the Google Cloud Platform team, you will help customers transform and build what's next for their business, all with technology built in the cloud as the products are developed for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of customers and helping shape the future of HPC.
As the Senior Manager in HPC, you will be responsible for driving the strategy, growth, and customer success for the HPC business in North America. You will lead a team of HPC specialist sales and customer engineers to develop and grow long-term HPC partnerships, accelerate adoption, and expand GCP's leadership position. You will collaborate across Sales, Product, Engineering, and Finance and operate at the C-level internally and externally.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $192000 - $267000 (USD) 42.86% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Expand GCP's leadership position in the HPC market by growing the business through long-term HPC partnerships and accelerated adoption.
  • Drive strategic growth initiatives, sales plays, and customer programs to enable short and long-term customer success and scale GTM processes.
  • Manage the HPC rhythm of the business, including business and finance forecast cadence in collaboration with key stakeholders across Sales, Product, Operations, and Finance.
  • Lead Google Cloud's most strategic and complex HPC business cycles with a customer-first mindset and full accountability for partnership success.
  • Build and lead a team of HPC sales specialists and customer engineers, focusing on talent strategy and skills development to deliver on successful cloud transformation outcomes.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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