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Internship High Performance Computing Engineer Jobs in Stockton, CA

Mechanical Engineer

Livermore, CA ยท On-site

  • Retirement

You will provide engineering design solutions for the Laboratory's mechanical infrastructure ... as clean rooms, high performance computing facilities, bio-safety labs, semiconductor and ...

Mechanical Engineer

Livermore, CA ยท On-site

$9.6K/wk

  • Retirement

You will provide engineering design solutions for the Laboratory's mechanical infrastructure ... as clean rooms, high performance computing facilities, bio-safety labs, semiconductor and ...

Mechanical Engineer

Livermore, CA ยท Hybrid

  • Retirement

You will provide engineering design solutions for the Laboratory's mechanical infrastructure ... as clean rooms, high performance computing facilities, bio-safety labs, semiconductor and ...

Operations Research Postdoctoral Researcher

Livermore, CA ยท On-site

$122K - $143K/yr

  • Retirement

Experience with high-performance computing systems, specifically parallel programming libraries such as MPI. * Experience with the application of mathematical optimization to critical infrastructure ...

Operations Research Postdoctoral Researcher

Livermore, CA ยท On-site

$122K - $143K/yr

  • Retirement

Experience with high-performance computing systems, specifically parallel programming libraries such as MPI. * Experience with the application of mathematical optimization to critical infrastructure ...

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Internship High Performance Computing Engineer information

See Stockton, CA salary details

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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:

Principal Associate Director (PAD) for Computing

LLNL

Livermore, CA โ€ข On-site

Full-time

Retirement

Re-posted 25 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.ย 

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

We have an opening for the Principal Associate Director (PAD) for Computing. In this key leadership position, you report to the Laboratory Director and are a member of the Laboratory's Senior Leadership Team (SLT). You are responsible for managing the lab's computing workforce (currently around 1400 employees) and for enhancing the intellectual vibrancy of computing as well as related disciplines and capabilities at the lab. Together with other lab leaders and stakeholders, you will help shape the Laboratory's strategic vision and develop and articulate a strategy for the Principal Directorate in support of the institution. You will manage discretionary R&D resources and sustain relationships with government agencies that fund computing R&D.

LLNL is one of the nation's premier institutions in advanced computing and currently home to the world's fastest computer, El Capitan. Work conducted by Computing personnel supports a broad spectrum of programs across missions, scientific research, and operations and includes information technology, data science, computational mathematics, artificial intelligence, software engineering, high performance computing and much more.

LLNL is one of the nation's premier national laboratories applying leading edge science and technology (S&T) to a broad range of national security missions. LLNL is a Federally Funded Research and Development Center (FFRDC) operated by Lawrence Livermore National Security (LLNS), Limited Liability Corporation (LLC) for the U.S. Department of Energy's (DOE) National Nuclear Security Administration.

The Laboratory's mission is to perform leading edge scientific research and develop technological innovations to ensure the safety, security and reliability of the nation's nuclear stockpile; support chemical, biological, radiological, nuclear, and explosive threat reduction; improve national and international security; strengthen energy and environmental security; assure U.S. leadership in strategic areas of S&T; and enhance the economic competitiveness of the nation. This mission is enabled by the Laboratory's outstanding scientific and engineering capabilities. Today LLNL has a multidisciplinary workforce of approximately 9000 and an annual budget of more than $3.5 billion.

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

  • Partner with the Senior Leadership Team (SLT) to create and advance strategies to achieve institutional goals.
  • Develop and implement strategies for the sustainment and advancement of the computing discipline and capabilities.
  • Maintain close partnerships with key stakeholders in government, academia and industry including DOE/NNSA.
  • Work with lab leadership to address technical and workforce challenges and opportunities in computing with a particular emphasis on AI, data science, and emerging or next-generation capabilities.
  • Collaborate with the SLT on long-term, multidisciplinary initiatives in support of the lab's future programmatic needs.
  • Oversee the Computing directorate budget consistent with Laboratory and DOE fiscal policies and practices.
  • Manage Directorate personnel, ensuring an effective system for recruiting, hiring, managing and developing a high-quality scientific staff.
  • Provide oversight and personal commitment to safety, security, environmental stewardship, good business practices, compliance, and equal opportunity.
Qualifications
  • Ability to secure and maintain a U.S. DOE Q/SCI-level security clearance which requires U.S. citizenship.
  • Ph.D.ย in a computing or related discipline, or the equivalent combination of education and related experience.
  • Extensive senior-level experience leading a large-scale, mission-oriented research and development organization.
  • Expertise and national visibility in areas of advanced computing and its applications.
  • Broad knowledge of the DOE/NNSA Laboratory enterprise.
  • Demonstrated success in managing scientific programs, projects, or organizations and promoting creative contributions to solving complex scientific problems.
  • Experience leading and managing a large complex technical organization, including hiring processes, workforce development, resource management, and strategic planning.
  • Ability to manage technical priorities and balance the need to deliver program milestones while maintaining world-class capabilities in computing.
  • Exceptional verbal and written communication skills necessary to explain, present, direct, negotiate, influence and coordinate technical or programmatic activities.
  • Extensive experience in effectively balancing complex technical, budgetary, and personnel priorities to achieve desired results.
  • Experience ensuring that standards of safety, security, environmental stewardship, and quality assurance are established and appropriately followed.

Qualifications We Desire

  • Broad knowledge of national security policy issues.
  • Established contacts with the relevant academic, national laboratory, industry, and government communities.

Pay Range

$521,580 - $669,864

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.ย  An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

Additional Information

#LI-Hybridย 

Position Information

This is an At Will, Career Indefinite position, open to Laboratory employees and external candidates. This key personnel position requires a commitment from you to serve at least two years in this position.

Why Lawrence Livermore National Laboratory?

  • Included in 2026ย Best Places to Work by Glassdoor!
  • Flexibleย Benefits Package
  • 401(k)
  • Relocation Assistance
  • Education Reimbursement Program
  • Flexible schedules (*depending on project needs)
  • Our values - visitย https://www.llnl.gov/inclusion/our-values

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.ย  Also, you must have the ability to obtain and maintain Sensitive Compartmented Information (SCI) access.ย ย If you are selected, we willย initiate a Federal background investigation to determine if youย meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.ย 

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 useย and/or possession ofย mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereย you are not permitted to have a personal and/or laboratory mobile deviceย in your possession.ย  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.ย ย 

Ifย you useย aย medical device, whichย pairs with a mobile device,ย you must still follow the rules concerningย the mobile device in individual sections within Limited Areas.ย  Sensitive Compartmented Information Facilities requireย 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:ย 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.ย  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.ย 

Californiaย Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesย 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.