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

As of Sep 10, 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 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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Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $125,019 per year, or $60.1 per hour.

Software Engineer (High Performance Computing)

Annapolis Junction, MD • On-site

Fuse Engineering LLC
IT Services • 51 - 200 employees
Learn more about Fuse Engineering LLCexternal

Full-time

Re-posted 26 days ago

Job description

Description

  Task Description

The Software Engineer shall be responsible for software development activities for a tiered Zero-touch provisioning (ZTP) and infrastructure automation (IA) solution for the bring-up and hands-off automation of complex High Performance Computing Systems. Software development activities include requirements analysis, design, implementation, testing, and sustainment. The primary focus is on integrating COTS and FOSS products, packages, and libraries. The Software Engineer must have a demonstrated understanding of the software development lifecycle.


Required Skills

Experience using the Unix CLI

Experience with scripting using Bash/Python

Experience developing with multiple programming languages such as C, Java, and Python in a Unix environment

Experience with software frameworks used for searching, monitoring, and analyzing big data such as Splunk and Elastic Stack 

Experience with SQL technologies such as MySQL, MariaDB, and PostgreSQL

Experience with NoSQL technologies such as MongoDB and Elasticsearch

Experience with containerization technologies such as Docker

Experience with CI/CD principles, methodologies, and tools such as GitLab CI and Jenkins

Experience with IaC (Infrastructure as Code) principles and automation tools such as
Ansible, SaltStack, and Terraform 

Experience with designing, implementing, and using REST and/or RPC APIs 


Desired Skills

Experience with Messaging Frameworks such as Kafka, ActiveMQ, and RabbitMQ 

Experience with tools used for metrics visualization such as Grafana and Kibana

Experience with Git Source Control System

Experience with the Atlassian Tool Suite (JIRA, Confluence)

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