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Internship High Performance Computing Engineer Jobs in Santa Barbara, CA

Refactor and optimize existing models for high performance computing environments * Create and ... Strong proficiency in C++ and Python programming languages * Experience with version control ...

Work with large-scale computational environments, including high-performance computing (HPC ... Collaborate with RF engineers, mechanical engineers, and aerospace system designers to ensure ...

FPGA Engineer IV

Goleta, CA · On-site

$140K - $180K/yr

... computing platforms, and AI-enabled image processing technologies ... The engineer partners with cross-functional teams to develop high-performance imaging solutions ...

FPGA Engineer IV

Goleta, CA

$140K - $180K/yr

... computing platforms, and AI-enabled image processing technologies. The engineer partners with cross-functional teams to develop high-performance imaging solutions that support innovative medical ...

... high-performance computing, artificial intelligence (AI), and quantum information technology ... Doctorate in Physics, Engineering, or related field AND 3+ years experience in industry or in a ...

Senior Radar Systems Engineer

Santa Barbara, CA · On-site

$116K - $159K/yr

Help establish and adhere to DevOps practices that ensure that customer and satellite-operational ... Proficiency in parallel processing and high-performance computing (HPC). * Excellent communications ...

Senior Radar Systems Engineer

Santa Barbara, CA · On-site

$116K - $159K/yr

Help establish and adhere to DevOps practices that ensure that customer and satellite-operational ... Proficiency in parallel processing and high-performance computing (HPC). * Excellent communications ...

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Internship High Performance Computing Engineer information

See Santa Barbara, CA salary details

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$66

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

As of Jul 29, 2026, the average hourly pay for internship high performance computing engineer in Santa Barbara, CA is $66.88, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $75.67 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.
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