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High Performance Computing Postdoc 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 Postdoc information

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$25K

$59K

$83.5K

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

As of Sep 13, 2026, the average yearly pay for high performance computing postdoc in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What is a high performance computing postdoc?

A High Performance Computing (HPC) Postdoc is a researcher who has completed their doctoral studies and is engaged in advanced research involving the use of powerful computational systems to solve complex scientific, engineering, or data-intensive problems. These postdoctoral researchers develop, optimize, and implement algorithms and software on supercomputers, often collaborating with multidisciplinary teams. Their work may involve simulation, modeling, data analysis, or machine learning, and they contribute to scientific discovery through computational innovation.

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

To excel as a High Performance Computing Postdoc, you need a PhD in a relevant field, strong programming skills in languages like C/C++ or Fortran, and experience with parallel computing concepts. Familiarity with HPC clusters, job schedulers (e.g., SLURM), performance profiling tools, and possibly certifications in HPC systems are typical requirements. Excellent problem-solving, collaboration, and scientific communication skills help you work effectively within interdisciplinary research teams. These competencies are essential for advancing scientific discovery through efficient use of advanced computational resources and for contributing meaningfully to complex research projects.

What are some typical challenges high performance computing postdocs face when integrating new algorithms into existing HPC systems?

High Performance Computing Postdocs often encounter challenges related to optimizing new algorithms for compatibility and efficiency within established HPC infrastructures. These challenges may include ensuring code scalability across thousands of processors, managing memory bottlenecks, and adapting algorithms to diverse hardware architectures such as GPUs or distributed clusters. Collaboration with system administrators and other researchers is common, as troubleshooting and performance tuning require interdisciplinary expertise. Staying updated with evolving HPC technologies and best practices is essential for overcoming these integration hurdles.

What are popular job titles related to High Performance Computing Postdoc jobs?

For High Performance Computing Postdoc jobs, the most frequently searched job titles are:

Infographic showing various High Performance Computing Postdoc job openings in the United States as of September 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

High-Performance Computing Engineer

Mclean, VA โ€ข On-site

Full-time

Re-posted 16 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.