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High Performance Computing Engineer Jobs (NOW HIRING)

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 ...

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 ...

Peak Systems

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High Performance Computing (HPC) Engineer

Dallas, TX · On-site

$72 - $82/hr

High Performance Computing (HPC) Engineer Travel: Up to 50% (Customer Sites, Industry Events, Project Deployments) Level: Mid-Senior Engineer Reports To: Services Delivery Manager / Practice Director ...

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High Performance Computing Engineer information

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

As of Jul 31, 2026, the average hourly pay for high performance computing 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 are the key skills and qualifications needed to thrive as a High Performance Computing Engineer, and why are they important?

To thrive as a High Performance Computing (HPC) Engineer, you need a strong background in computer science, parallel programming, and distributed systems, typically supported by a relevant degree. Familiarity with HPC clusters, Linux/Unix environments, programming languages like C/C++ or Python, and tools such as MPI, OpenMP, and job schedulers is essential. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills for optimizing system performance and collaborating with researchers or end-users. These abilities ensure efficient computational solutions, maximize resource utilization, and drive innovation in data-intensive scientific or engineering projects.

What is a High Performance Computing Engineer?

A High Performance Computing (HPC) Engineer is a specialist who designs, builds, and maintains advanced computing systems that deliver exceptional processing power for complex computational tasks. These professionals optimize hardware and software environments to support scientific research, large-scale simulations, and data-intensive applications. They work with supercomputers, clusters, and cloud HPC resources, ensuring high efficiency, scalability, and reliability. HPC Engineers also support researchers and organizations in maximizing the performance of their computing infrastructure.

What are some common challenges High Performance Computing Engineers face when optimizing system performance?

High Performance Computing Engineers often encounter challenges such as balancing resource allocation, managing workload distribution, and minimizing system bottlenecks. They must ensure that hardware and software components interact efficiently, which can require deep knowledge of parallel computing, networking, and storage systems. Additionally, staying up-to-date with rapidly evolving technologies and troubleshooting complex performance issues are integral parts of the role. Collaborating closely with researchers and IT teams is essential to tailor solutions that meet specific computational needs.

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

AspectHigh Performance Computing EngineerData Scientist
Required CredentialsBachelor's or master's in computer science, engineering, or related fields; knowledge of parallel computingBachelor's or master's in data science, statistics, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, tech companies, supercomputing centersBusiness, tech firms, research institutions
Industry UsageSupercomputing, scientific research, simulationsData analysis, machine learning, predictive modeling

High Performance Computing Engineers focus on developing and optimizing large-scale computing systems for scientific and technical applications, while Data Scientists analyze data to extract insights. Both roles require programming skills and work in tech-driven environments, but their core objectives differ: system performance versus data analysis.

More about High Performance Computing Engineer jobs
What are the most commonly searched types of High Performance Computing Engineer jobs? The most popular types of High Performance Computing Engineer jobs are:
What states have the most High Performance Computing Engineer jobs? States with the most job openings for High Performance Computing Engineer jobs include:
What job categories do people searching High Performance Computing Engineer jobs look for? The top searched job categories for High Performance Computing Engineer jobs are:
High Performance Computing Engineer jobs near you
Infographic showing various High Performance Computing Engineer job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 80% Full Time, 15% Part Time, and 2% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $125,019 per year, or $60.1 per hour.

High-Performance Computing Engineer

VTG

Mclean, VA • On-site

Full-time

Re-posted 3 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.

Apply