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Internship High Performance Computing Engineer Jobs in State College, PA

Varsity Tutors

C++ Tutor

State College, PA · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

AVTC Group

Sr Software Engineer

State College, PA · On-site +1

$119K - $157K/yr

... and high-performance software solutions. • Design, implement, and test AI, ML, Java and Python ... JIRA, Confluence, BitBucket). • Experience with cloud computing platform (e.g. AWS or Azure). • ...

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All JobsHigh Performance Computing Engineer JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in State College, PA

Internship High Performance Computing Engineer information

See State College, PA salary details

$10

$58

$95

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

As of Aug 9, 2026, the average hourly pay for internship high performance computing engineer in State College, PA is $58.78, according to ZipRecruiter salary data. Most workers in this role earn between $48.17 and $66.54 per hour, depending on experience, location, and employer.

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.

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

DevSecOps Research and Development Engineer

Penn State University

University Park, PA • On-site

Full-time

Re-posted 25 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

229th of 617 rated colleges and universities

Job description

Job Summary:
Penn State University is seeking a motivated, self-starting DevSecOps Research and Development Engineer to join their Cloud Technology Advancement Department in the Applied Research Laboratory. The role involves designing and implementing secure, automated infrastructure solutions for high-performance computing environments and maintaining CI/CD pipelines for frequent deployments.
Responsibilities:
• Design and implement secure, automated infrastructure solutions for high-performance computing environments thru Agile software development
• The entry-level DevSecOps individual will work as part of a team to perform and review pull requests, unit tests, and occasional documentation as needed
• Work with and maintain our continuous integration and continuous delivery (CI/CD) pipelines to allow for frequent, trouble-free deployments of infrastructure code
• Configure and optimize various compute resources and networks including bare metal and virtualized/container environments
• Provide demonstrations of your work to the internal team and occasionally external customers
• Coordinate with the Agile team to identify risks, issues, requirements, and design solutions for project-level activity on a daily basis
Qualifications:
Required:
• Knowledge of DevSecOps tools/practices
• Linux-based infrastructure / system administration knowledge
• Infrastructure/automation via scripting languages like Ansible or Puppet
• Interest in Cloud-Native Computing Foundation tools like Kubernetes
• Continuous Integration/Continuous Delivery (CI/CD) pipeline development skills
• Proven troubleshooting skills with the ability to spot issues before they become problems
• Bachelor's Degree - Engineering or Science
• 2+ years of relevant experience (if filled as Research and Development Engineer - Intermediate Professional)
• No prior relevant work experience required (if filled as Research and Development Engineer - Professional)
• Ability to obtain a government security clearance
• Must be a U.S. citizen to apply
• Successful completion of background check(s) in accordance with University policies
• Successful completion of a pre-employment drug screen
Preferred:
• RHEL 8.x or newer
• Bare metal workstation, server, data center hardware and software
• Configuration management via Git, Bitbucket, or GitLab
• Container/orchestration technologies such as Docker and Kubernetes, Rancher, or other scaled Kubernetes environments
• Well-organized, independent and ready to work
Company:
Penn State University is a public state-related research university with campuses and facilities throughout Pennsylvania. Founded in 1855, the company is headquartered in University Park, USA, with a team of 10001+ employees. The company is currently Late Stage.

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