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frameworks, and associated standard processes (e.g., NIST, DISA STIGs). HPC systems architecture experience, including cluster management tools (e.g., SLURM, PBS, Moab). Linux system administration skills
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, Kasm Workspaces, or similar technologies. Experience with GPU-enabled Linux workstations, NVIDIA/CUDA environments, scientific software stacks, or specialized research desktop environments. Exposure
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, Git, and infrastructure-as-code practices to improve deployment, configuration, patching, monitoring, and operational efficiency. Engineer HPC systems to meet applicable NIST, RMF, DISA STIG, DOE, DOW
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host hardening, secrets management, audit logging, compliance baselines, and alignment with frameworks such as NIST 800-171 and CIS Benchmarks. Define hardware standards, refresh cycles, model validation
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Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual
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. Demonstrated experience working in classified environments, including a thorough understanding of security policies, compliance frameworks, and associated standard processes (e.g., NIST, DISA STIGs). HPC systems
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tools, libraries, and frameworks is a plus (e.g., MPI, OpenMP, CUDA, VASP, Gaussian, and Nextflow, Open OnDemand) Experience with the installation, configuration and administration of Docker and
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optimization. Demonstrated experience working in classified environments, including a thorough understanding of security policies, compliance frameworks, and associated standard processes (e.g., NIST, DISA STIGs
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modules, AWS, Azure, GCP, or comparable services. Experience supporting GPU, AI/ML, CPU-intensive, statistical, imaging, compiler/toolchain, Fortran, MATLAB, R, Python, CUDA, or other discipline-specific
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classified environments, including a thorough understanding of security policies, compliance frameworks, and associated standard processes (e.g., NIST, DISA STIGs). HPC systems architecture experience