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Internship High Performance Computing Engineer Jobs in Riverside, CA

Saim Technologies

R&D FEA Engineer

Irvine, CA · On-site

Master s or PhD in Biomedical Engineering, Mechanical Engineering, Applied Mechanics, or related ... Experience with running simulations on high-performance computing clusters. * Experience with ...

Advantech USA

Sr. Engineer-RISC

Irvine, CA

$100K - $120K/yr

Senior Electrical Engineer - RISC Location(s): Tustin, CA - Onsite Compensation: $100,000-120,000 ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Advantech

Sr. Engineer-RISC

Irvine, CA · On-site

$100K - $120K/yr

Senior Electrical Engineer - RISC Location(s): Tustin, CA - Onsite Compensation: $100,000-120,000 ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Marvell

Senior Principal Test Engineer

Irvine, CA · On-site

$134K - $185K/yr

... high-performance computing (HPC) chipsets. The individual is charged to work with cross functional ... every stage - from internship to retirement and through life's most important moments. Our ...

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All JobsHigh Performance Computing Engineer JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Riverside, CA

Internship High Performance Computing Engineer information

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

As of Aug 22, 2026, the average hourly pay for internship high performance computing engineer in Riverside, CA is $62.71, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $70.96 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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Internship High Performance Computing Engineer jobs near you

R&D FEA Engineer for Neurovascular

Saim Technologies

Irvine, CA • On-site

Other

Posted 8 days ago

Job description

Role: R&D FEA Engineer for Neurovascular
Location: Irvine, CA

Key Responsibilities:

Develop & utilize structural finite-element modeling tools for the design and evaluation of neurovascular device/s.,
Implement general mechanical design and solid mechanics fundamentals to drive product development for the treatment of neurovascular diseases.,
Work collaboratively with front-end R&D and product development teams as well as with cross-functional team members to bring new products to market.,
Utilize computational modeling & simulation to develop new test methods, integrate materials and processes, characterize device performance.,
Prepare reports and presentations to communicate technical assessments and analysis results.,
Generate technical reports for submission to regulatory agencies.,
Offer insight, guidance, and mentorship to project team members.,
Aid in the generation of intellectual property.,
Analyze computational modeling & simulation results, distill key findings, and translate them into conclusions.,
Must Have:
Minimum Requirements, To be considered for this role, please ensure the minimum requirements are evident in your applicant profile and on your resume.,
A bachelor's degree in a technical discipline,
Minimum 4 years of experience in using Abaqus Implicit and Explicit solvers to solve real-life biomedical engineering problems., OR master s degree with a minimum of 2 years relevant experience OR PhD with 0 years relevant experience.,
Nice to Have:,
Experience with CAD modeling in SolidWorks.,
Coding experience with Python and Matlab.,
Master s or PhD in Biomedical Engineering, Mechanical Engineering, Applied Mechanics, or related discipline with a research focus on modeling vascular implants, e.g., stents or heart valves, .,
Experience with running simulations on high-performance computing clusters., Experience with verification, validation, and uncertainty quantification for structural simulations as per ASME V&V 10, 20, and 40.,
Experience of writing detailed technical reports.,
Effective collaboration with R&D engineers for material characterization and device-level bench testing.

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