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Internship High Performance Computing Engineer Jobs in Colorado

Nvidia

Senior Architect, Data Center Modeling

Boulder, CO · On-site

$69.75 - $93.25/hr

... high-performance computing and AI technologies. What we need to see: Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS ...

Cymertek Corporation

HPC Software Architect

Aurora, CO · On-site

... Engineering, Artificial Intelligence, High-Performance Computing, Numerical Analysis, Scientific Computing, Statistics, Cyber-Physical Systems, or related field • TS/SCI Full Poly clearance and ...

Nvidia

Senior Architect, Data Center Modeling

Boulder, CO

$69.75 - $93.25/hr

... high-performance computing and AI technologies. What we need to see: * Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience ...

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Internship High Performance Computing Engineer information

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.

What are the most commonly searched types of High Performance Computing Engineer jobs in Colorado?

The most popular types of High Performance Computing Engineer jobs in Colorado are:

What are popular job titles related to Internship High Performance Computing Engineer jobs in Colorado?

For Internship High Performance Computing Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Internship High Performance Computing Engineer jobs in Colorado look for?

The top searched job categories for Internship High Performance Computing Engineer jobs in Colorado are:

Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

HPC Software Engineer with Security Clearance

Colorado Springs, CO • On-site

Cornerstone Defense
Library and Information Services • 51 - 200 employees
Learn more about Cornerstone Defenseexternal

$140K - $230K/yr

Contractor

Re-posted 15 days ago

Job description

HPC Software Engineer Colorado Springs, CO Active TS/SCI with Polygraph Salary Range: $140,000 - $230,000 We are seeking a mid-career level HPC Software Engineer that will work in a High Performance Computing (HPC) Research and Development (R&D) customer contract. The candidate will be an active member of the Technical User Support (TUS) team, interacting with the team, TUS team lead, program Chief Scientist, Customers, users, and site staff while on-site with a specific R&D customer. The TUS team is responsible for working with HPC users to achieve faster "time to science". You will work closely with the users to port, optimize, and parallelize codes to the users' requirements. You will mentor junior members of the TUS and broader HPC teams, providing technical guidance, code-review sessions, and career-development advice. You will also design and deliver training workshops, tutorials, and documentation to help end-users and internal staff adopt HPC tools, best-practice coding standards, and performance-tuning techniques. This position will be on-site with a specific customer focused on their workflow, modeling and simulation, and data requirements and working with the program Chief Scientist, TUS team lead, and others to design and implement solutions to meet the customer's requirements. Basic Qualifications: • Bachelors degree in STEM related discipline and a minimum of 10 years of professional level experience • Around 5 years of experience developing and using modeling and simulation software in heterogeneous, multi-platform environments • Working with HPC users workflow for mod/sim problems and GUIs • Knowledge of High Performance Computing (HPC) environment and related technologies • Demonstrated proficiency with Fortran, C, and/or C++ • Demonstrated proficiency with BASH and Korn • Linux Operating System proficiency, ability to solve end-user computer system problems while working independently in a lab environment. • Proficiency in basic software practices such as coding standards, unit testing, and configuration management • Strong ability to analyze, debug, and maintain the integrity of an existing code base • Experience designing and delivering training workshops, tutorials, or onboarding material for HPC users and internal staff Desired Skills: • Experience mentoring junior engineers or scientists, providing technical guidance, and conducting code review sessions • Revision control software (CVS, SVN, Git) • Build/install tools (e.g. CMake, Makefile, autoconf) • Experience with Python and Perl • GPU programming experience (e.g., CUDA, OpenCL) • Agile process and JIRA • AI/ML/Neural Networks experience • Good organization skills to balance and prioritize work • Superior programming skills and excellent attention to detail • Strong communication skills a results-oriented team player, creative thinker, and problem-solver

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