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Compute; HPC Engineer TS​/SCI CI poly

Job in Springfield, Fairfax County, Virginia, 22161, USA
Listing for: TENICA and Associates LLC
Full Time position
Listed on 2026-02-21
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: High Performance Compute (HPC) Engineer TS/SCI CI poly

We believe that every person, given the opportunity and the tools, is capable of achieving great things. Our team members focus on our customers and assisting them achieve their mission and goals. Our leadership nurtures our team’s potential by treating each employee with honesty, integrity, respect, dignity, compassion and fairness.

And we’re looking for motivated people who share those values!

High Performance Compute (HPC) Engineer TS/SCI CI poly

TENICA is looking to hire High Performance Compute (HPC) engineer

Job location:

Springfield, VA

High Performance Computer (HPC) Engineer

  • A strong experience with working on Linux systems
  • Experience with building and deploying containerized, GPU-enabled applications in Docker, Singularity, or Kubernetes
  • Experience with orchestration and cluster management tools, including Slurm, Mesos, or Moab
  • Experience with AI and Machine Learning Development Tool Sets, including Jupyter, Keras, Tensor Flow, MPI, OpenMP, OpenCL, or CUDA
  • Lustre and Infiniband maintenance and troubleshooting. Infiniband/fibre/network plumbing, configuration, and maintenance.
  • Experience with deploying systems in both on-premise and Cloud environments, including AWS, Azure, or Google
  • Server hardware maintenance and troubleshooting.
  • Created and maintained system documentation.
  • RHEL and CentOS administration and ACE cluster administration for HPC clusters.
  • Experience with supporting environments for massively parallel computation
  • Experience with certification and accreditation of containers
  • Experience with programming and implementing scientific and physics M&S algorithms, Big Data, and Data Science
  • Experience with optimizing applications to use AI and ML toolsets
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