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High Performance Computing Hpc Jobs in Colorado (NOW HIRING)

Broadcom

Package Design Engineer

Fort Collins, CO · On-site

$141K - $226K/yr

You will be part of a worldwide R&D team developing high-performance package designs for ASICs for artificial intelligence (AI), networking, high-performance computing (HPC), and 5G base stations.

Crusoe

Principal Design Engineer

Denver, CO · On-site

Familiarity with the physical layer requirements of high-performance computing (HPC) and large-scale AI workloads. * Experience with agency certification strategies for modular electrical equipment ...

Crusoe

Principal Design Engineer

Denver, CO · On-site

Familiarity with the physical layer requirements of high-performance computing (HPC) and large-scale AI workloads. * Experience with agency certification strategies for modular electrical equipment ...

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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 Jul 11, 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 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 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 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, and why are they important?

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 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:
High Performance Computing Hpc jobs near you

Senior Aerodynamics CFD Engineer

Executive Recruiting Group

Boulder, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 6 days ago

Job description

We are seeking a Senior Aerodynamics/CFD Engineer for our Boulder, Colorado location. This role can be remote with travel.

Responsibilities 

  • Design, loft and optimize components that affect the aircraft aerodynamics and outer mold line (OML). 
  • Build models, clean CAD geometry, and generate computational meshes to run CFD simulations that: 
  • Inform aircraft trade studies and configuration design decisions using appropriately fidelity levels. 
  • Support aerodynamic design across all phases, from concept development through certification. 
  • Develop and maintain high-fidelity aerodynamic databases for performance prediction, external-loads analysis, and real-time six-degree-of-freedom (6-DOF) simulations. 
  • Correlate and validate CFD results against simulations of varying fidelity (e.g. cross-code comparisons, wind-tunnel testing, and flight-test data). Iterate models as new data becomes available. 
  • Post-process and analyze simulation and test data. Summarize results in reports and presentations for internal and external stakeholders, as needed. 
  • Collaborate with cross-functional teams (performance, acoustics, loads, stability and control, control laws, systems, and instrumentation) to define simulation parameters and requirements, ensure model accuracy, and provide CFD expertise to guide design decisions. 
  • Develop and improve the software methods, tools, and workflows that support aerodynamic modeling. 
  • Support verification and validation activities that rely on model outputs (e.g., failure hazard assessments (FHAs)). 
  • Train and mentor junior aerodynamics engineers. 

Requirements

Required Qualifications 

  • B.S., M.S., or Ph.D. in aeronautical engineering or a related field 
  • 15+ years of experience with a B.S., 10+ years with an M.S., or 8+ years with a Ph.D. modeling subsonic, fixed-wing aerodynamics using CFD and validating results with wind-tunnel experiments 
  • Expert-level knowledge of subsonic, fixed-wing aerodynamics; strong theoretical background in fluid mechanics and CFD 
  • Experience with surface parameterization and aerodynamic shape optimization 
  • Experience in turbulence modeling, boundary-layer transition, unsteady aerodynamics, and interference aerodynamics 
  • Strong competence running NASA OVERFLOW and/or FUN3D CFD software (RANS flow solvers) 
  • Proficiency in 3D surface and volume meshing using structured overset meshes and/or unstructured tetrahedral/hexahedral meshes 
  • Proficiency in lofting aircraft in 3D CAD software (e.g., CATIA, NX) and applying CAD cleanup tools 
  • Proficiency in Python and/or MATLAB scripting 
  • Experience working with external partners and suppliers on development projects 
  • Familiarity with software development best practices and version control (Git) 
  • Good knowledge of high-performance computing (HPC) hardware and software 
  • Strong technical, written, and verbal communication skills 
  • Ability to work well both collaboratively and independently 
  • Experience in a fast-paced design environment 

Preferred Qualifications 

  • Aerodynamics design experience on a large transport/freighter/cargo category aircraft   
  • Familiarity with aircraft certification standards (14 CFR Part 25 or Part 23), preferably having been through an airplane development and certification program 
  • Familiarity with cloud computing platforms 
  • Experience planning and executing wind-tunnel test campaigns to validate CFD and aerodynamic predictions 
  • Proficiency in MATLAB 
  • Experience mentoring junior aerodynamics engineers in CFD

Benefits

  • Comprehensive medical, dental, and vision coverage, plus mental health support with 24/7 counseling, virtual therapy, and the Calm app. 
  • Employer-paid life and disability insurance, voluntary critical illness and accident coverage, and a 401(k)-retirement savings plan. 
  • Health Care FSA and HSA options with tax advantages and rollover features. 
  • Employees working from Boulder office enjoy complimentarylunchon any day they work onsite. 
  • Additionalbenefits includeEmployee Assistance Program, caregiver support, discounted fitness memberships, educationalassistance, training programs, adoptionassistance, commuter benefits, and exclusive discounts through Perks at Work. 

Apply