TENICA and Associates LLC
High Performance Compute (HPC) Engineer TS/SCI CI poly
TENICA and Associates LLC, Springfield, Illinois, us, 62777
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 in achieving 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 a High Performance Compute (HPC) Engineer. Location:
Springfield, VA Responsibilities include: Strong experience working on Linux systems. Building and deploying containerized, GPU-enabled applications in Docker, Singularity, or Kubernetes. Orchestration and cluster management using Slurm, Mesos, or Moab. Utilizing AI and Machine Learning development tools such as Jupyter, Keras, TensorFlow, MPI, OpenMP, OpenCL, or CUDA. Maintaining and troubleshooting Lustre and Infiniband networks, including configuration and network plumbing. Deploying systems in on-premise and cloud environments like AWS, Azure, or Google Cloud. Server hardware maintenance and troubleshooting. Creating and maintaining system documentation. RHEL and CentOS administration, including ACE cluster management for HPC clusters. Supporting environments for massively parallel computation. Supporting certification and accreditation of containers. Programming and implementing scientific and physics modeling & simulation algorithms, Big Data, and Data Science. Optimizing applications to leverage AI and ML toolsets.
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TENICA is looking to hire a High Performance Compute (HPC) Engineer. Location:
Springfield, VA Responsibilities include: Strong experience working on Linux systems. Building and deploying containerized, GPU-enabled applications in Docker, Singularity, or Kubernetes. Orchestration and cluster management using Slurm, Mesos, or Moab. Utilizing AI and Machine Learning development tools such as Jupyter, Keras, TensorFlow, MPI, OpenMP, OpenCL, or CUDA. Maintaining and troubleshooting Lustre and Infiniband networks, including configuration and network plumbing. Deploying systems in on-premise and cloud environments like AWS, Azure, or Google Cloud. Server hardware maintenance and troubleshooting. Creating and maintaining system documentation. RHEL and CentOS administration, including ACE cluster management for HPC clusters. Supporting environments for massively parallel computation. Supporting certification and accreditation of containers. Programming and implementing scientific and physics modeling & simulation algorithms, Big Data, and Data Science. Optimizing applications to leverage AI and ML toolsets.
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