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

As of Jul 11, 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 2% Locum Tenens, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $125,019 per year, or $60.1 per hour.

High Performance Computing Specialist

Dynamic Solutions Technology LLC

Washington, DC • On-site

Full-time

Re-posted yesterday

Job description

Dynamic Solutions Technology, LLC, a premier strategic services firm that meets IT and Service needs for commercial and government clients, is seeking a full-time High Performance Computing Specialist to provide support to a government customer based out of Arlington, VA. This is an exempt position with possible remote opportunities.

MUST BE US CITIZEN

Responsibilities:

  1. Serve as primary technical liaison to ~500 scientists and engineers using HPC systems; provide user support and outreach.
  2. Create, manage, and deprovision user accounts and maintain user credential records for unclassified and classified systems.
  3. Track, report, and reconcile CPU-hour usage across users, projects, and allocations; maintain usage logs and dashboards.
  4. Allocate CPU hours according to government priorities and leadership direction; adjust allocations and communicate changes.
  5. Coordinate with security office to verify users' clearances, credentials, and authorization to access classified computational resources.
  6. Assist Program Officers (PO) in developing program plans, technical strategies, budgets, metrics, and performance improvement actions.
  7. Draft, monitor, and report technical milestones for HPC thrust areas; compare planned vs. actual performance and flag deviations.
  8. Support solicitation development: draft calls, collect white papers/proposals, verify required documents, and prepare evaluation materials.
  9. Maintain an electronic repository of proposals, contracts, deliverables, correspondence, policy/regulatory guidance, and archival records.
  10. Prepare programmatic content for budgets, briefings to Congress/leadership, data calls, program pitches, and appeals.
  11. Develop capability/technology roadmaps and map portfolio efforts to DoD/DON strategy documents (NDS, S&T guidance) for Government review.
  12. Monitor performer progress: track deliverables, follow up for submissions, review reports, provide feedback, and load materials into repository.
  13. Plan and support program reviews, technical/financial reviews, site visits, demonstrations, and field experiments; draft agendas, minutes, and summaries.
  14. Produce analyses, summaries, and impact assessments of research investments; draft presentations, success stories, and recommended follow-on actions.
  15. Organize and coordinate meetings.
  16. Handle classified meeting/material logistics and support production of outreach/communication products (graphics, posters, web content, briefings).

Qualifications Requirements:

  • Ability to obtain a Secret clearance prior to award date.
  • High School diploma with a minimum of six (6) years of relevant experience; OR
  • Bachelor's degree from an accredited college or university business and three (3) years of relevant experience
  • Proficient in the use of Microsoft Office 365 (specifically, Word, Power Point, Outlook, SharePoint Online, Teams and Excel

Desired Qualifications:

  • IT Security Certification
  • Experience in Navy ERP
  • Excellent communicator
  • Solid relationship builder