High Performance Compute (HPC) Engineer TS/SCI CI poly
About The Position
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, TensorFlow, 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
Requirements
- 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, TensorFlow, 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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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
Number of Employees
51-100 employees
