1

Internship High Performance Computing Engineer Jobs in Colorado

Patriot is looking to add a mid level-career level High Performance Computing (HPC) Software Engineer to our Space team. You will provide Red Hat Enterprise Linux (RHEL)/SE Linux based HPC services ...

SIMILAR CAREER TITLES High-Performance Computing Architect, Parallel Computing Architect, Computational Systems Architect, HPC Systems Engineer, Software Optimization Architect, Supercomputing ...

We are now looking for a senior HPC software engineer. As a member of our the High Performance Computing Software development team, you will be responsible for designing and implementing new ...

We are now looking for a senior HPC software engineer. As a member of our the High Performance Computing Software development team, you will be responsible for designing and implementing new ...

Showing results 21-40

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:

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

$134K - $236K/yr

Other

Posted 29 days ago


Key responsibilities

  • Support scientists and engineers using HPC environments for modeling, simulation, scientific computing, and data-intensive workloads.

  • Work directly with HPC users to port, optimize, parallelize, troubleshoot, and improve scientific software applications.

  • Analyze user workflows and develop solutions to improve computational performance and reduce time to results.


Job description

The Global Edge Consultants, LLC is an Equal Opportunity Employer. The Global Edge Consultants, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non?disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. Job Title: HPC Software Engineer – CI Poly Required
Location: Colorado Springs, CO
Type of Role: Direct Hire (Full-Time, Onsite)
Shift: Standard Monday–Friday, 40-hour work week
Pay Range: $134,000 – $236,325 annual base salary (final offer dependent on experience, education, skills, market conditions, and work location) POSITION OVERVIEW:
We are seeking a mid-career HPC Software Engineer to support a High Performance Computing (HPC) Research & Development customer program in Colorado Springs, CO. This role will serve as an active member of the Technical User Support (TUS) team, working directly with scientists, engineers, customers, program leadership, and site staff to improve HPC workflows and accelerate “time to science.” The engineer will support users in porting, optimizing, parallelizing, debugging, and maintaining scientific and modeling/simulation applications across secure HPC environments. This position will also contribute to system performance analysis, benchmarking, library tuning, scientific software optimization, and user training. The ideal candidate will bring strong Linux and HPC experience, proficiency in Fortran, C and/or C++, scripting expertise, modeling and simulation experience, and the ability to independently troubleshoot complex software and computational problems. RESPONSIBILITIES AND ESSENTIAL DUTIES: Support scientists and engineers using High Performance Computing environments for modeling, simulation, scientific computing, and data-intensive workloads. Work directly with HPC users to port, optimize, parallelize, troubleshoot, and improve scientific software applications. Analyze user workflows and develop solutions that improve computational performance and reduce time to results. Support heterogeneous and multi-platform HPC environments running Red Hat Enterprise Linux (RHEL), SELinux, and related technologies. Perform system and application performance analysis through benchmarking, profiling, library tuning, and optimization. Investigate, analyze, debug, and resolve complex user code and HPC software issues. Support scientific modeling, numerical methods, algorithms, and computational software development. Assist users with HPC scheduling systems, shared production resources, research storage systems, and high-performance data environments. Develop, maintain, and improve scientific applications written in Fortran, C, C++, Python, and related languages. Create and maintain shell scripts using BASH, Korn Shell, and other scripting technologies. Apply software engineering best practices including coding standards, unit testing, configuration management, and version control. Analyze and maintain the integrity of existing software code bases. Mentor junior engineers and members of the broader HPC technical team through technical guidance and code reviews. Design and deliver HPC training workshops, tutorials, documentation, and onboarding materials for users and internal staff. Collaborate with the Technical User Support Lead, Chief Scientist, customers, users, and site personnel to develop technical solutions supporting customer requirements. Support workflow, modeling and simulation, and data-processing requirements within a secure government computing environment. Work independently in laboratory and customer environments to troubleshoot end-user computing and software issues. Recommend improvements to HPC software, algorithms, libraries, workflows, and system utilization. MINIMUM REQUIREMENTS:
Basic Qualifications Bachelor’s degree in a STEM-related discipline. Minimum of 10 years of professional-level experience. Approximately 5 years of experience developing and using modeling and simulation software in heterogeneous, multi-platform environments. Experience supporting HPC user workflows involving modeling, simulation, and graphical user interfaces. Strong knowledge of High Performance Computing environments and related technologies. Demonstrated proficiency with Fortran, C, and/or C++. Demonstrated proficiency with BASH and Korn Shell scripting. Strong Linux operating system proficiency. Ability to independently troubleshoot and resolve end-user computer system and software issues in a lab environment. Experience with standard software development practices including coding standards, unit testing, and configuration management. Strong ability to analyze, debug, maintain, and improve existing software code bases. Experience designing and delivering training workshops, tutorials, onboarding materials, or technical documentation for HPC users and internal staff. Active TS/SCI clearance with CI Polygraph required prior to start. U.S. Citizenship required. Additional Qualifications (Desired Skills) Experience mentoring junior engineers, developers, or scientists and conducting technical code reviews. Experience with revision control systems such as Git, SVN, or CVS. Experience with software build and installation tools including CMake, Makefiles, and autoconf. Proficiency with Python and/or Perl. GPU programming experience using CUDA, OpenCL, or similar technologies. Experience working within Agile development environments. Experience using JIRA. AI, machine learning, or neural network experience. Strong organizational skills with the ability to manage and prioritize multiple technical responsibilities. Advanced programming skills and strong attention to detail. Strong written and verbal communication skills. Ability to operate effectively as a results-oriented team member, creative thinker, and technical problem solver. Security / Clearance Requirement Active Top Secret/SCI clearance with a current CI Polygraph is required to start. Candidates must be U.S. Citizens and must be able to maintain the required government security clearance throughout employment. The Global Edge Consultants, LLC is an Equal Opportunity Employer. The Global Edge Consultants, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non?disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.