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Field
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to manage support tickets and prioritize, considering varied scope, scale, and technical requirements. Ability to define, deliver, and optimize HPC or scientific support services. Know multiple programming
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of Management in Analytics (MMA) is in search of multiple tutors for various courses across the program. Required skills in either or both of the streams below (specify which stream in your application
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environment. This includes a HPC cluster with NVIDIA H100 nodes, parallel storage and fast interconnects, dedicated workstations with multiple A6000 GPUs, and web-based services via Microsoft Azure
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. Experience with multiple deployment mechanisms like Diskless, Warewulf, and traditional deployment (cobbler, PXEboot, and/or Bright). Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI
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, e.g. HPC cluster (CPUs and GPUs) or cloud. Proficiency with high performance computing and system architecture. Advanced skills and experience associated multiple of the following: artificial
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and GPUs) or cloud. Proficiency with high performance computing and system architecture. Advanced skills and experience associated multiple of the following: artificial intelligence; method and machine
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computing frameworks (e.g., MPI, NCCL) and model parallelism techniques. Proficiency in C++/CUDA programming for GPU acceleration. Experience in optimizing deep learning models for inference (e.g., using
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, 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 partner
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for all system configurations, processes, and procedures. Prioritize and manage multiple tasks and projects efficiently. Keep all required documentation updated Other duties as assigned to complete
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projects simultaneously. F3 Experience supporting application development for a variety of systems, e.g. Windows, Linux, MacOS, Android, iOS and hardware, e.g. GPU programming. E.g. with the data management