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Internship High Performance Computing Engineer Jobs in Columbus, OH

AI Infrastructure Operations Engineer

Columbus, OH · Hybrid

$103K - $136K/yr

... high-performance computing, and multi-node simulation workloads, with emphasis on availability ... engineering, change management, and performance validation for AI training, inference, HPC, and ...

AI Infrastructure Operations Engineer

Hartford, OH · Hybrid

$96K - $126K/yr

... high-performance computing, and multi-node simulation workloads, with emphasis on availability ... engineering, change management, and performance validation for AI training, inference, HPC, and ...

... Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with ...

... high-performance computing environments. Within this business unit, the Advanced Development group is responsible for incubating next-generation thermal technologies and proving their viability ...

... high-performance computing environments. Within this business unit, the Advanced Development group is responsible for incubating next-generation thermal technologies and proving their viability ...

Mechanical Design Engineer Rack & Infrastructure Product Design Location: Edinboro, PA; Columbus ... From life-saving healthcare systems to high-performance computing, we design, manufacture, and ...

Mechanical Design Engineer Rack & Infrastructure Product Design Location: Edinboro, PA; Columbus ... From life-saving healthcare systems to high-performance computing, we design, manufacture, and ...

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Internship High Performance Computing Engineer information

See Columbus, OH salary details

$10

$58

$94

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

As of Sep 9, 2026, the average hourly pay for internship high performance computing engineer in Columbus, OH is $58.06, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $65.72 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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What cities near Columbus, OH are hiring for Internship High Performance Computing Engineer jobs?

Cities near Columbus, OH with the most Internship High Performance Computing Engineer job openings:

Infographic showing various Internship High Performance Computing Engineer job openings in Columbus, OH as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $120,755 per year, or $58.1 per hour.

MPI Software Engineer (Full-time)

Columbus, OH • On-site

X-ScaleSolutions
Software Development • 1 - 10 employees

$150 - $200/hr

Other

Medical, Retirement, PTO

Posted 8 days ago


Job description

X-ScaleSolutions is a start-up based in Columbus, Ohio. We specialize in a range of high-performance and scalable solutions for current-generation systems ranging from small deployments of a couple systems to multi-petaflop systems and the emerging Exascale systems. The mission of the company is to develop innovative and leading-edge software products, with a focus on four areas: 1) High-Performance Computing, 2) Deep/Machine Learning, 3) Big Data, and 4) Cloud Computing.

Are you interested in working on state-of-the-­art hardware, software, and middleware?

X-ScaleSolutions is looking for an enthusiastic MPI Software Engineer with desired experience in High-Performance Computing (HPC), Message Passing Interface (MPI), and network programming with modern HPC interconnects (InfiniBand, Omni‑path, 10‑100GigE/iWARP, and RoCE) and accelerators (GPUs) to join our team.

The MPI software engineer is expected to take a lead role in projects to design and develop production quality MPI code with novel features.

Technical expertise required:
  • Strong experience in Linux
  • C programming
  • MPI Library (design and debugging) experience
  • Experience in HPC technologies and platforms
The ideal candidate will have:
  • Multiple years of experience in HPC, MPI standard, multi-core processors, GPUs/accelerators.
  • Knowledge of InfiniBand, High-Speed Ethernet, Omni-Path, or similar high-performance networking technologies.
  • Familiar with the typical design cycle (design, develop, test, tune, release, bug fixes, etc.) for producing and maintaining high-quality software and the associated tools
  • Demonstrate strong analytical, troubleshooting, and problem-solving skills
  • Strong communication, organizational, and customer service skills
  • The ability to work in a team setting
  • A background in computer science or computer engineering

This is a full-time position, though part-time candidates will be considered. Flexible schedule and remote position. Healthcare, retirement, and PTO package provided. Must be eligible to work in the US.

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