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Internship High Performance Computing Engineer Jobs in Stockton, CA

Experience with high-performance computing, multi-node, multi-GPU, distributed training ... Experience with GPU programming and running complex workflows. Pay Range $146,340 - $222,564 ...

Experience with high-performance computing, multi-node, multi-GPU, distributed training ... Experience with GPU programming and running complex workflows. Pay Range $146,340 - $222,564 ...

Showing results 21-40

Internship High Performance Computing Engineer information

See Stockton, CA salary details

$11

$63

$103

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

As of Aug 14, 2026, the average hourly pay for internship high performance computing engineer in Stockton, CA is $63.31, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $71.63 per hour, depending on experience, location, and employer.

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 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 job categories do people searching Internship High Performance Computing Engineer jobs in Stockton, CA look for?

The top searched job categories for Internship High Performance Computing Engineer jobs in Stockton, CA are:

What cities near Stockton, CA are hiring for Internship High Performance Computing Engineer jobs?

Cities near Stockton, CA with the most Internship High Performance Computing Engineer job openings:

Computing Undergraduate Student Intern - Fall 2026

LLNL

Livermore, CA โ€ข On-site

$9.8K/wk

Internship

Retirement

Re-posted 20 days ago


Job description

Company Description
Join us and make YOUR mark on the World!
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Job Description
Positions will close to applicants on August 28, 2026. Computing mentors will have until September 4, 2026 to make their Fall selections.
We have multiple openings for our Computing Fall Undergraduate Internship Program taking place from September 1, 2026 through December 18, 2026. These positions are for undergraduate students who will be given the opportunity to engage in practical research to further their educational goals. Selected interns will play a key role in providing technical and/or research support to projects in areas such as computational science, cyber defense, computer science, numerical methods, mathematics, and other related STEM disciplines.
Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.
You will
  • Provide technical and/or research support to projects in the areas of computational science, cyber defense, computer science, numerical methods, mathematics, and other related STEM disciplines, working with scientists, engineers, and technical staff members.
  • Participate in research in assigned area under close supervision.
  • Gather and analyze data and information in support of scientific research.
  • Participate in research planning and evaluation discussions.
  • Attend relevant seminars (at least one per week).
  • Present work through presentations and/or poster sessions.
  • Perform other duties as assigned.

Qualifications
  • Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
  • Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree in Computer Science, Mathematics, Data Science, Machine Learning, Cybersecurity, or other related STEM fields. If you are starting a graduate degree program in Winter/Spring 2027, you must apply for the Computing Scholar Graduate position (Posting code: REF8511P).
  • Proven ability to adapt and thrive in challenging situations, demonstrating resilience and problem-solving skills to achieve goals while overcoming setbacks.
  • Ability to apply basic computational science and/or mathematical principles to solve technical problems.
  • Demonstrated effective communication skills.
  • Ability to present and communicate concepts and ideas.
  • Experience working with personal computers and familiarity with Word, Excel and PowerPoint.
  • Ability to work in a team environment.
  • Age 18 or older at the start of the internship.
  • Must have GPA of 3.0 or higher.

Pay Range
$23.26 - $31.62 Hourly for the 705.1 level
$28.77 Hourly for the 714.0 level
Additional Information
All your information will be kept confidential according to EEO guidelines.
Why Lawrence Livermore National Laboratory?
  • Included in 2026 Best Places to Work by Glassdoor!
  • Holiday Pay
  • Sick leave accrual
  • Individual 401(k) contributions
  • Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance
None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check.
National Defense Authorization Act (NDAA)
The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Wireless and Medical Devices
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.