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Field
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on heterogeneous processor types Optimized GPU computing and exploitation of GPU architectures for HPEC (tensors, multi-GPU instantiations, advances in GPU for AI/ML) Compute-focused optimization of System-on-Chip
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including code design, documentation and testing. Familiarity with optimization methods including Machine Learning (ML) techniques. Any experience with computations on GPUs. Working knowledge of Linux command
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research computing and visualization services. ARC systems currently host 50,000+ CPU cores, 500+ advanced GPUs, and 10+ petabytes of storage. We stay abreast of novel and developing trends in research
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, including GPU systems capable of running large-scale AI workflows. Applicants should submit online at https://www.princeton.edu/acad-positions/position/39681 and include a cover letter, curriculum vitae
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, and be willing to share their knowledge through tutorials, consultations, and teaching. Preferred Qualifications: Experience with teaching or tutorial creation. Experience with Bash, Linux, GPU, or high
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, and interacting with pilots and passengers. Operates and becomes familiar with ground support equipment, such as the aircraft tug, ground power unit (GPU), lavatory service cart, de-icing cart, forklift
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(e.g. systems biology), or ordinary/stochastic differential equations. Experience in computational, statistical, or machine learning method development in any discipline. Experience in GPU computing
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transport. Knowledge of low-temperature plasma devices and relevant physics. Theoretical and computational knowledge of the particle-in-cell method. High-performance computing, including MPI, OpenMP and GPU
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systems and environments. Experience managing GPU clusters for AI/ML jobs (e.g. NVIDIA, AMD). Experience with virtualization tools, containers, and/or orchestration (Docker, Apptainer, Kubernetes
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techniques and probability theory ● GPU Programming: Experience with GPU programming and optimization for ML models, utilizing frameworks, like CUDA or OpenCL ● Experience with applied computer vision, such as