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Field
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Language Model (LLM) GPU cluster to ensure stable and reliable operation of training tasks; (b) handle GPU node failures, IB network anomalies, CUDA/NCCL errors and Kubernetes scheduling failures, perform
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to support efficient model training iteration; (b) lead the construction of the GPU computing cluster centered around a Kubernetes + NVIDIA GPU Operator, including node planning, resource management
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, GPU/FPGA acceleration or high-performance computing. Desirable Knowledge, Skills, and/or Abilities 1. Active government security clearance at Secret level or higher. 2. Demonstrated success in
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Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through NYUAD. Applicants should have a PhD in computational astrophysics with
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Administrator Working Title HPC Systems Administrator I or II Career Progression Track P00 Track Level P3 - Career FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time
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Computer (HPC) with its sizable cluster of CPUs, GPUs, storage arrays and high speed networking as well as our cloud (AWS) based Data Safe Haven, used for researchers working on sensitive data. As Research
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environments, including use of high-performance computing clusters and, ideally, GPU-enabled workflows. *Experience with GitHub, version control, and repository management for collaborative and reproducible
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the advent of 5G/6G networks, the Internet of Things (IoT), and edge computing. This evolution enables services to be deployed across the edge-network-cloud continuum [1], leveraging heterogeneous
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modeling). Experience working with HPC/GPU resources and job schedulers (e.g., Slurm) and/or cloud-based deployments. Track record of contributing to peer-reviewed publications as a computational specialist
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critical role in defining the future of research and administrative computing at the University. In this role, you will lead the architectural design and deployment of secure, scalable AI platforms