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Internship High Performance Computing Engineer Jobs in Stockton, CA

Cloud Engineer

Livermore, CA · On-site

$62 - $82.75/hr

Monitor cloud performance and usage, and implement solutions for high availability, scalability ... Lead the development of and implement advanced cloud computing. environments that align with ...

New

Software Engineer

Livermore, CA · On-site

$9.8K/wk

  • Retirement

These positions are in the Applications, Simulations, and Quality (ASQ) Division in the Computing ... high-quality solutions. * Demonstrate a strong learning mindset by continuously exploring new ...

New

Software Engineer

Livermore, CA

$121K - $154K/yr

  • Retirement

These positions are in the Applications, Simulations, and Quality (ASQ) Division in the Computing ... high-quality solutions. * Demonstrate a strong learning mindset by continuously exploring new ...

New

Senior Cloud Engineer

Livermore, CA · On-site

$9.8K/wk

  • Retirement

Monitor cloud performance and usage, and implement solutions for high availability, scalability ... Lead the development of and implement advanced cloud computing. environments that align with ...

Senior Cloud Engineer

Livermore, CA

$65.50 - $87.50/hr

  • Retirement

Monitor cloud performance and usage, and implement solutions for high availability, scalability ... Lead the development of and implement advanced cloud computing. environments that align with ...

Senior Cloud Engineer

Livermore, CA · On-site

$65.50 - $87.50/hr

  • Retirement

Monitor cloud performance and usage, and implement solutions for high availability, scalability ... Lead the development ofand implement advanced cloud computing. environmentsthat align with customer ...

Head of IT

Byron, CA · Hybrid

$200K - $270K/yr

Partner with Engineering to support high-performance cloud computing, lab systems, and specialized environments. * Evaluate logging, detection, and incident response (LDR) posture and improve ...

New

Head of IT

Byron, CA · On-site

$200K - $270K/yr

  • Medical

  • Retirement

Partner with engineering to support high-performance cloud computing, lab systems, and specialized environments * Evaluate and improve monitoring, logging, and incident response capabilities for ...

New

Head of IT

Byron, CA

$200K - $270K/yr

  • Medical

  • Retirement

Partner with engineering to support high-performance cloud computing, lab systems, and specialized environments * Evaluate and improve monitoring, logging, and incident response capabilities for ...

New

Showing results 41-60

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:

Computational Materials Scientist - Postdoctoral Researcher

LLNL

Livermore, CA

$123K/yr

Full-time

Retirement

Re-posted 28 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

    We have an opening for a Postdoctoral Researcher to work in the field of computational materials science and actively participate in research dedicated to the discovery of new structural alloys for extreme environments. You will be involved in research to implement methods for materials design and process development. You will be a creative force in the integration and application of thermodynamic and kinetic models into an alloy design framework (including material properties models) that uses numerical optimization methods to rapidly screen for promising compositions over vast multi-component phase spaces. This position is in the Actinide and Lanthanide Science group within the Materials Science Division.

    In this role you will

    • Independently develop multicomponent thermodynamic and kinetic databases for inorganic (metal, oxide, carbide, hydride, etc.) systems.
    • Incorporate new Integrated Computational Materials Engineering (ICME) microstructure evolution models and resulting property predictions (ranging from analytical to machine learning surrogate models) in LLNL's Materials Acceleration Platform that is deployed on LLNL's High Performance Computing infrastructure.
    • Develop uncertainty quantification (UQ) and propagation methods into ICME approaches.
    • Interface with experimentalists in design of experiment and material development campaigns.
    • Work both independently and collaborate with others in a multidisciplinary team environment to accomplish program goals.
    • Publish research results in peer-reviewed scientific journals and present results at external conferences, seminars, and technical meetings.
    • Perform other duties as assigned.
    Qualifications
    • Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
    • PhD in materials science, metallurgy, condensed matter physics, applied math, or a closely related field.
    • Experience and knowledge in at least three of the following areas: CALPHAD, microstructure and property modeling, uncertainty quantification and propagation, ICME, alloy design, design of experiments.
    • Demonstrated ability to independently develop or make significant contributions to scientific research software.
    • Experience with commercial (Thermo-Calc, Pandat, or FactSage) or open source (PyCalphad, Thermochimica, or OpenCalphad) computational thermodynamics software to perform CALPHAD database development.
    • Experience in at least two of the following metallurgy topics: thermodynamics, phase stability, phase transformations, defect structures, solidification, or thermo-mechanical processing.
    • Proficient verbal and written communication skills as reflected in effective presentations at meetings and a demonstrated strong publication record.
    • Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment.

    Qualifications We Desire

    • Experience with artificial intelligence (AI) and/or machine learning (ML) methods.
    • Experience with algorithms relevant for materials design and discovery (Bayesian Optimization, black-box optimization, gradient-based optimization).
    • Experience parameterizing or developing numerical methods for thermodynamic and/or kinetic modeling of phase transformations and microstructure evolution (e.g. CALPHAD, Kampmann-Wagner numerical method, phase field, cellular automata, Monte Carlo method, continuum models).
    • Direct experience with alloy synthesis, processing, and/or characterization; or extensive experience collaborating with experimental colleagues.

    Pay Range

    $123,048 Annually

    This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. 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

    All your information will be kept confidential according to EEO guidelines.

    Position Information

    This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.

    Why Lawrence Livermore National Laboratory?

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

    Security Clearance

    This position requires a Department of Energy (DOE) Q-level clearance.  If you are selected, we will initiate a Federal background investigation to determine if you 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. 

    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.