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Internship High Performance Computing Engineer Jobs in Philadelphia, PA

AVTC Group

Flight Sciences Engineer

Ewing, NJ · On-site

Staff Engineer in Flight Sciences Support on-going projects in aerodynamics, aeroelasticity, flight ... FORTRAN, C and C++) is required Experience developing software for High Performance Computing ...

Introl

Data Center Technician

Philadelphia, PA · On-site

$22 - $35/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

Deloitte

HPC AI Solution Architect (S2S)

Philadelphia, PA · On-site

$60.25 - $79.25/hr

... Engineer on their Silicon2Service team. The role involves designing and deploying integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure ...

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

As of May 29, 2026, the average hourly pay for internship high performance computing engineer in Philadelphia, PA is $60.65, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.65 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 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 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 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
Senior ASIC Verification Architect for High-Perf SoCs

Senior ASIC Verification Architect for High-Perf SoCs

Cornelis Networks

Wayne, PA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A leading tech firm is seeking a Principal ASIC Verification Engineer to drive verification closure of projects in high-performance computing. The role requires over 10 years of experience in hardware verification, and expertise in networking protocols like TCP/IP and RDMA. This is a remote position and offers a comprehensive benefits package including equity, health benefits, and generous time off.

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