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Internship High Performance Computing Engineer Jobs

Pfizer

You will work with HPC engineers and scientific computing specialists to develop robust, scalable, high-performance cloud native infrastructure that underpins modernization of the scientific ...

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

As of Jun 12, 2026, the average hourly pay for internship high performance computing engineer in the United States is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 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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Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,019 per year, or $60.1 per hour.
Software Engineer, High Performance Computing (Starlink)

Software Engineer, High Performance Computing (Starlink)

SpaceX

Redmond, WA • On-site

$156K/yr

Full-time

Posted 4 hours ago

SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

13th of 60 rated aerospace companies

Job description

Job Summary:
SpaceX is a company focused on developing technologies for space exploration and satellite internet systems. They are seeking a Software Engineer specializing in High Performance Computing for the Starlink program, responsible for developing reliable software to enhance user experience in satellite internet services.
Responsibilities:
• Develop highly reliable, real-time software that determines which beams (user, laser, gateway, etc) should be formed in order to provide the best possible user experience for our low-latency, high-bandwidth satellite-based global network.
• Participate in and lead architecture, design, and code reviews.
• Develop prototypes and manage experiments to prove out key design concepts.
• Develop tools for software development and deployment, data analysis and visualization, and test execution across multiple environments, including virtualized hardware environments, real hardware-in-the-loop simulations, and on-orbit testing.
Qualifications:
Required:
• Bachelor’s degree in computer science, engineering, math, or science discipline; OR 2+ years of professional experience in software development in lieu of a degree (internship experience is applicable).
• Development experience in assembly, C, or C++.
• Must be willing to work extended hours and weekends as needed.
Preferred:
• Knowledgeable in real-time rendering, game engine development, physics simulation, or other real-time, resource-constrained, high-performance computing.
• Knowledgeable in network topology, numerical optimization techniques, graph theoretic approaches, or convex optimization.
• Developed, debugged, and deployed software that has been used in real world applications/projects.
• Creative approach to problem solving, exceptional analytical skills, and engineering fundamentals.
• Excellent communication skills both written and verbal.
• Ability to work effectively in a dynamic environment with changing needs and requirements.
• Experience with distributed systems and internet services.
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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