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Internship High Performance Computing Engineer Jobs in State College, PA

AVTC Group

Software Eningeer

State College, PA · On-site

... software engineers to deliver reliable and high-performance software solutions. • Design ... JIRA, Confluence, BitBucket). • Experience with cloud computing platform (e.g. AWS or Azure). • ...

Penn State University

Research Intern

State College, PA · On-site

Computing or with computing-adjacent technologies * Data science, cybersecurity, programming, etc ... A willingness to both work with hardware and develop high-level software applications * Existing ...

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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

Software Engineer II with Security Clearance

Cornerstone Defense

State College, PA • On-site

Other

Re-posted 3 days ago

Job description

Software Engineer State College, PA Active TS/SCI Company Overview: Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense. In the Java/Python AI/ML/Data Science Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a Linux, Agile, DevOps environment. We are at the forefront of aerospace and defense technology. Our Satellite Ground Systems Team plays a pivotal role in ensuring communication, surveillance, and defense capabilities through cutting-edge satellite systems. We invite you to be part of a team that pushes the boundaries of whats possible. Due to the security clearance requirement, this is an onsite position in our State College, PA office. Responsibilities: • Design, develop, and maintain advanced software applications for our Satellite Ground Systems. • Collaborate closely with systems engineers, hardware designers, and other software engineers to deliver reliable and high-performance software solutions. • Design, implement, and test AI, ML, Java and Python based applications and software components for satellite ground systems. • Work in parallel with legacy platform teams to eventually migrate workloads onto your pipelines. • Collaborate with cross-functional teams to define software requirements and specifications. • Work with previously written code and make modifications as necessary. • Ensure software performance, reliability, and scalability. • Participate in software design reviews, code reviews, and system integration activities. • Contribute to the completion of program and project milestones under the specific guidance of their immediate supervisor. • Follow established Software processes and procedures, development, documentation and maintenance/management of operations concepts, requirements (system, element, segment level), external and internal interfaces, and other software engineering work products/artifacts. Basic Qualifications: • Active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and two (2) years of Software Engineering experience. • Experience in object-oriented software design and development using Java and Python in a Linux environment. • Experience with unit testing tools (e.g., JUnit). • Exposure to AI/ML and Data Science. • Experience working in an agile environment Preferred Qualifications: • Experience working in an AI/ML/Data Science role • Strong analytical skills and proactive problem-solving abilities, with a deep understanding of AI/ML technologies, cloud architecture, and enterprise software. • Experience working with large datasets and performing data analysis. • Security+ certification. • Experience with Git, Jenkins, Docker, Kubernetes. • Experience with the Atlassian Tool Suite (e.g. JIRA, Confluence, BitBucket). • Experience with cloud computing platform (e.g. AWS or Azure). • Experience with satellite communication systems and protocols is highly preferred. • Familiarity with secure coding practices, especially in a defense or aerospace setting.

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