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High Performance Computing Hpc Jobs in Colorado (NOW HIRING)

MDAEdge is seeking a highly skilled and experienced Senior HPC Specialist to design, implement, and maintain high-performance computing (HPC) systems and solutions. The ideal candidate will play a ...

... High-Performance Computing, Numerical Analysis, Scientific Computing, Statistics, Cyber-Physical ... Citizenship Preferred : • Familiarity with cloud-based HPC platforms and hybrid solutions • ...

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High Performance Computing Hpc information

See Colorado salary details

$34.2K

$71.8K

$117.8K

How much do high performance computing hpc jobs pay per year?

As of Sep 14, 2026, the average yearly pay for high performance computing hpc in Colorado is $71,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,600.00 and $87,300.00 per year, depending on experience, location, and employer.

What is high performance computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a high performance computing (HPC) specialist?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.

What are some common challenges faced by professionals working in high performance computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is the difference between High Performance Computing Hpc vs Data Scientist?

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

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

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

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

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

Infographic showing various High Performance Computing Hpc job openings in Colorado as of September 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $71,765 per year, or $34.5 per hour.

HPC Software Engineer with Security Clearance

Colorado Springs, CO • On-site

Cornerstone Defense
Library and Information Services • 51 - 200 employees

$140K - $230K/yr

Contractor

Re-posted 18 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