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Field
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· Experience with multi-GPU or distributed training is a plus · Ability to work independently as well as part of an interdisciplinary team in a fast-paced environment, while making necessary connections
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” resources and GPU-focused resources, and a massive in-memory database cluster. This position will support the VACC computing and storage hardware infrastructure, as well as research computing software such as
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” resources and GPU-focused resources, and a massive in-memory database cluster. This position will support the VACC computing and storage hardware infrastructure, as well as research computing software such as
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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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 23 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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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