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monitor Slurm-based training and evaluation jobs Debug failures related to distributed execution, checkpointing, filesystem performance, networking, and GPU utilisation Help maintain reproducible
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Experience with medical AI applications, particularly oncology, genomics, imaging, or clinical NLP is a plus, but not required Experience with scalable ML infrastructure, multi-node GPU training, or
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and ML environments such as UCX, NVLINK, InfiniBand, UltraEthernet and related networking frameworks. Evaluate and optimise the communication library and associated software components on GPU clusters
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skins, and a dedicated GPU cluster with eight NVIDIA H200 GPUs alongside access to ETH's central compute and the Alps supercomputer at CSCS A multidisciplinary team of mechanical engineers, materials