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, Mixture-of-Experts; distributed training/inference (e.g. FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation pipelines for reasoning and agents. Federated & Collaborative
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, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores. We
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end of line reliability. Capability to work at a brisk pace, manage time independently, balancing needs of multiple parallel activities. You like looking at data, drawing conclusions and proposing
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impact on electrical performance and end of line reliability. You are customer-focused and capable to deliver results to tight deadlines while balancing needs of multiple parallel activities. Ability
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Ability to code in a programming language to solve computational problems Awareness of computational infrastructure and its upkeep Ability to work on multiple projects in parallel and set priorities
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, the Stanford CS Department has influenced society at levels that remain without parallel among academic institutions. Its spin-offs are among the most successful corporate ventures in the world, and many
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for research papers where the analysis is used in the manuscript . Prepares and submits papers on research. Leads multiple papers and major research papers at the center of the laboratories larger goals
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working with one or more front end frameworks like React, Vue, and Angular Ability to work on multiple different projects in parallel Skilled in, or strong interest in learning, data visualization tools and
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parallel processing, distributed computing, and resource management techniques for efficient resource utilization. Resource Allocation: Oversee the allocation of computational resources, ensuring scalability
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parameters. The procedures for this project require expertise in multiple advanced techniques. The experienced researcher must be able to master state-of-the-art techniques to map and manipulate sympathetic