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released models Make evaluations run quickly and at scale: parallel execution on Alps, efficient use of inference backends, caching, and result tracking Reduce mismatch between evaluations during
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/aarch64 platforms Familiarity with HPC networking and communication stacks: Slingshot, libfabric, NCCL and its debugging Experience with parallel filesystems (e.g. Lustre) and storage performance tuning
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not more than three years before. Applications should demonstrate dedication to and strong promise in research. Keywords: postdoc Application Instructions https://math.ethz.ch/fim/postdocs.html
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can be about teaching. ETH Zurich is an equal opportunity and family friendly employer. For more details, please see the website: https://math.ethz.ch/fim/postdocs.html