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High Performance Computing Cfd Jobs (NOW HIRING)

CFD Engineer

Tucson, AZ · On-site

$100K - $150K/yr

Develop and execute large-scale parametric CFD studies on commercial or government high-performance computing platforms. Support combustor and reacting-flow analysis workflows including fuel ...

CFD Engineer

Tucson, AZ · On-site

$100K - $150K/yr

Develop and execute large-scale parametric CFD studies on commercial or government high-performance computing platforms. Support combustor and reacting-flow analysis workflows including fuel ...

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High Performance Computing Cfd information

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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.

Software Engineer (High Performance Computing)

Annapolis Junction, MD • On-site

Fuse Engineering
IT Services • 51 - 200 employees

Full-time

Re-posted 9 hours ago


Job description

Job Summary:
Fuse Engineering is seeking a Software Engineer to develop software for a tiered Zero-touch provisioning and infrastructure automation solution for High Performance Computing Systems. The role involves requirements analysis, design, implementation, testing, and sustainment, with a primary focus on integrating commercial and open-source products.
Responsibilities:
• The Software Engineer shall be responsible for software development activities for a tiered Zero-touch provisioning (ZTP) and infrastructure automation (IA) solution for the bring-up and hands-off automation of complex High Performance Computing Systems.
• Software development activities include requirements analysis, design, implementation, testing, and sustainment.
• The primary focus is on integrating COTS and FOSS products, packages, and libraries.
• The Software Engineer must have a demonstrated understanding of the software development lifecycle.
Qualifications:
Required:
• Experience using the Unix CLI
• Experience with scripting using Bash/Python
• Experience developing with multiple programming languages such as C, Java, and Python in a Unix environment
• Experience with software frameworks used for searching, monitoring, and analyzing big data such as Splunk and Elastic Stack
• Experience with SQL technologies such as MySQL, MariaDB, and PostgreSQL
• Experience with NoSQL technologies such as MongoDB and Elasticsearch
• Experience with containerization technologies such as Docker
• Experience with CI/CD principles, methodologies, and tools such as GitLab CI and Jenkins
• Experience with IaC (Infrastructure as Code) principles and automation tools such as Ansible, SaltStack, and Terraform
• Experience with designing, implementing, and using REST and/or RPC APIs
Preferred:
• Experience with Messaging Frameworks such as Kafka, ActiveMQ, and RabbitMQ
• Experience with tools used for metrics visualization such as Grafana and Kibana
• Experience with Git Source Control System
• Experience with the Atlassian Tool Suite (JIRA, Confluence)
Company:
Fuse Engineering is an IT company that provides IT systems engineering services. Founded in 2006, the company is headquartered in Gambrills, USA, with a team of 51-200 employees. The company is currently Growth Stage.