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port scientific applications to maximize performance across CPU, GPU, memory, storage, and I/O. Contribute technical expertise to faculty projects through the RCC Consultant Partnership Program and other
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 13 hours ago
A100/H100 GPUs, and 8.5 PB of attached research storage; https://docs.itrss.umsystem.edu/pub/hpc/hellbender). A wide variety of additional research instrumentation is available on campus at the MU
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, workstation, remote desktop, GPU, driver, performance, identity, storage, and network-related issues, escalating where deeper platform or infrastructure support is required. Integrate Linux desktops and
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department currently manages a SLURM-based cluster comprising CPU, high-memory (HMEM), and GPU nodes, supporting a diverse range of computational research. About the role As the Institute’s computational
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GPUs (e.g., B200, RTX 6000 Blackwell Pro, H200) and CPU architectures that, even if they increase complexity, generate the kinds of problems we love! This role in our Operations Team provides support for
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you will operate what you design. We expect and support open-sourcing and publishing this work. The environment A large NVIDIA GPU cluster (B300/H200/H100 class) running self-hosted open-weight models
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for operating and developing a research infrastructure comprising CPU- and GPU-based HPC systems, petabyte-scale storage, scientific web services, secure environments for sensitive data, and emerging AI-related
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Administrator, you will help develop, operate and continuously improve complex Linux-based research computing infrastructure, spanning established HPC and HTC platforms and emerging AI and GPU-enabled services
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microscopy, X-ray imaging, and light microscopy). It supports researchers across three compute scales: laptop-based prototyping (S-Gym), single-GPU workstations (M-Gym), and multi-node HPC at the National
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or GPU computing environments. Familiarity with version control, containerization, and reproducible-research tooling. Preferred Competencies Work independently and collaboratively within a