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High Performance Computing Cfd Jobs (NOW HIRING)

Overview iota IT, a subsidiary of VTG, is seeking a High-Performance Computing Engineer in McLean, VA. What will you do? * The highly skilled High Performance Computing Engineer to design, implement ...

Overview iota IT, a subsidiary of VTG, is seeking a High-Performance Computing Engineer in McLean, VA. What will you do? * The highly skilled High Performance Computing Engineer to design, implement ...

We are seeking a highly skilled High Performance Computing (HPC) Engineer with a strong background in modeling and solving complex discrete optimization problems. The ideal candidate will demonstrate ...

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High Performance Computing Cfd information

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$132K

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

As of Sep 14, 2026, the average yearly pay for high performance computing cfd in the United States is $93,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $110,000.00 per year, depending on experience, location, and employer.

What is high performance computing CFD?

High Performance Computing (HPC) CFD refers to using powerful computer systems and parallel processing techniques to solve complex Computational Fluid Dynamics (CFD) problems. CFD involves simulating fluid flow, heat transfer, and related physical processes, which often require significant computational resources due to the size and complexity of the models. HPC enables engineers and researchers to run large-scale CFD simulations much faster and with higher accuracy, making it possible to analyze intricate systems such as aircraft aerodynamics, weather forecasting, or industrial processes.

What are common challenges faced by high performance computing CFD professionals when optimizing simulations for large-scale clusters?

One of the main challenges HPC CFD professionals encounter is efficiently scaling computational fluid dynamics simulations across thousands of cores while minimizing bottlenecks related to communication and memory bandwidth. They often need to adapt algorithms to leverage parallel architectures and manage data distribution to ensure load balancing. Troubleshooting hardware constraints and software compatibility, especially with different MPI implementations or GPU accelerators, is also common. Collaboration with IT infrastructure teams and continual learning about emerging hardware technologies are essential parts of the role.

What are the key skills and qualifications needed to thrive as a high performance computing CFD engineer, and why are they important?

To thrive as a High Performance Computing CFD Engineer, you need a strong background in computational fluid dynamics, programming (often C/C++ or Fortran), and parallel computing, typically supported by a degree in engineering, physics, or computer science. Familiarity with HPC clusters, job scheduling systems (like Slurm), CFD software (such as OpenFOAM, ANSYS Fluent), and experience with MPI or OpenMP are commonly required. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for optimizing complex simulations and collaborating with multidisciplinary teams. These skills and qualities enable efficient use of computing resources, accurate simulation results, and innovation in solving advanced fluid dynamics problems.

What is the difference between High Performance Computing CFD vs Computational Fluid Dynamics Engineer?

AspectHigh Performance Computing CFDComputational Fluid Dynamics Engineer
CredentialsTypically requires advanced degrees in engineering or computer science, with knowledge of HPC systemsRequires engineering degrees with CFD specialization, often with experience in simulation software
Work EnvironmentFocus on developing and optimizing CFD simulations on HPC clustersPerforming CFD analysis and simulations for engineering projects
Industry UsageUsed across aerospace, automotive, energy sectors for large-scale simulationsApplied in product design, research, and development within similar industries

High Performance Computing CFD involves developing and running large-scale CFD simulations on supercomputers, emphasizing computational efficiency. In contrast, a Computational Fluid Dynamics Engineer applies CFD techniques to solve engineering problems, often using existing software. Both roles require strong technical skills, but HPC CFD is more focused on computational infrastructure, while CFD Engineers focus on practical application of simulations.

What other helpful pages are available for High Performance Computing Cfd?

Other pages related to High Performance Computing Cfd:

Infographic showing various High Performance Computing Cfd job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $93,015 per year, or $44.7 per hour.

High-Performance Computing Engineer

Mclean, VA • On-site

Full-time

Re-posted 17 days ago


Job description

Overview
iota IT, a subsidiary of VTG, is seeking a High-Performance Computing Engineer in McLean, VA.
What will you do?
  • The highly skilled High Performance Computing Engineer to design, implement, and maintain advanced computing solutions in support of mission-critical operations.
  • The ideal candidate will bring deep technical expertise in large-scale HPC environments, cluster management, GPU computing, and high-speed networking.

Do you have what it takes?
  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance, with polygraph.
  • Bachelor's Degree in Computer Science, Engineering or related field.
  • Experience with NVidia, Cray, managing clusters, Slurm, Linux, CUDA, high-speed networks as well as an understanding of the customer's A&A process.