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Internship High Performance Computing Engineer Jobs in Atlanta, GA

Optimal Inc.

CFD Engineer

Embry Hills, GA · On-site

CFD Engineer - Multiphase Flow (PhD Preferred) Job Summary We are seeking a CFD Engineer with ... Experience with high-performance computing (HPC) and parallel computing. Experience validating ...

Introl

Data Center Technician

Atlanta, GA · 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 ...

M.C. Dean, Inc

Staff Engineer 2

Atlanta, GA · On-site

The Engineer provides system programming and management support for large scale networking ... Providing systems support for a large-scale, high performance computing center to include the ...

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All JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Atlanta, GA

Internship High Performance Computing Engineer information

See Atlanta, GA salary details

$10

$57

$94

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

As of Jun 23, 2026, the average hourly pay for internship high performance computing engineer in Atlanta, GA is $57.80, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $65.43 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.
What are popular job titles related to Internship High Performance Computing Engineer jobs in Atlanta, GA? For Internship High Performance Computing Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
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What cities near Atlanta, GA are hiring for Internship High Performance Computing Engineer jobs? Cities near Atlanta, GA with the most Internship High Performance Computing Engineer job openings:
Internship High Performance Computing Engineer jobs near you
CFD Engineer

CFD Engineer

Optimal Inc.

Embry Hills, GA • On-site

Contractor

Posted 21 days ago

Job description

CFD Engineer - Multiphase Flow (PhD Preferred)

Job Summary

We are seeking a CFD Engineer with expertise in multiphase flow simulation and modeling. The ideal candidate will have experience using Flow-3D and other CFD tools to analyze complex fluid dynamics problems and develop accurate, high-performance simulation solutions.

Key Responsibilities
Develop, execute, and validate CFD simulations involving multiphase flows.
Analyze simulation results and provide engineering recommendations.
Develop and improve numerical models for fluid flow and transport phenomena.
Collaborate with engineering and research teams on simulation-driven projects.
Document methodologies, results, and technical findings.

Required Qualifications
PhD preferred (Master's considered with relevant experience) in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics, or a related field.
Strong background in computational fluid dynamics, fluid mechanics, and numerical methods.
Experience with Flow-3D, ANSYS Fluent, OpenFOAM, STAR-CCM+, or similar CFD software.
Expertise in multiphase flow modeling, including VOF, Eulerian-Eulerian, or Eulerian-Lagrangian approaches.
Proficiency in Python, MATLAB, or C++.
Experience with model validation, data analysis, and technical reporting.

Preferred Qualifications
Publications or research experience in CFD, multiphase flows, or related areas.
Experience with high-performance computing (HPC) and parallel computing.
Experience validating simulations against experimental data.

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