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High Performance Computing System Engineer Jobs

VTG

High-Performance Computing Engineer

Mclean, VA · On-site

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 ...

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High Performance Computing System Engineer information

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How much do high performance computing system engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for high performance computing system engineer in the United States is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.03 per hour, depending on experience, location, and employer.

What is a high performance computing system engineer?

A High Performance Computing (HPC) System Engineer is an IT professional who designs, builds, manages, and optimizes advanced computing systems used for complex computational tasks. These systems, often called supercomputers or clusters, support scientific research, engineering, and big data analytics by providing immense processing power. HPC System Engineers are responsible for configuring hardware, installing specialized software, ensuring system security, and troubleshooting performance issues. They often collaborate with researchers and developers to tailor computing resources to specific application needs.

What are the key skills and qualifications needed to thrive as a high performance computing system engineer?

To thrive as a High Performance Computing (HPC) System Engineer, you need strong expertise in computer science, Linux/UNIX system administration, and parallel computing, usually supported by a relevant degree. Familiarity with HPC cluster management tools, workload schedulers like Slurm, and networking technologies is essential, and certifications such as CompTIA Linux+ or Red Hat Certified Engineer are often valued. Excellent problem-solving, communication, and teamwork skills help you address complex technical issues and collaborate across multidisciplinary teams. These competencies are crucial for maintaining reliable, efficient HPC environments that support advanced research and data-intensive applications.

What are some common challenges high performance computing system engineers face when managing large-scale clusters?

High Performance Computing (HPC) System Engineers often encounter challenges such as ensuring optimal cluster performance, handling hardware failures, and managing software updates without causing downtime. Balancing resource allocation to maximize throughput while minimizing bottlenecks can be complex, especially in multi-user environments. Additionally, engineers frequently collaborate with researchers and developers to troubleshoot application performance issues, requiring both technical expertise and strong communication skills.

What cities are hiring for High Performance Computing System Engineer jobs?

Cities with the most High Performance Computing System Engineer job openings:

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High-Performance Computing Engineer

Mclean, VA • On-site

VTG
See more jobs at VTGexternal

Full-time

Re-posted 11 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. 
Qualifications:
  • 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. 
Education:UNAVAILABLEEmployment Type: FULL_TIME

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