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applications for computer vision. Experience using C++ to develop and run software applications. Experience using GPU-accelerated ML and related frameworks. Experience with Docker or other containerized
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. Experience using C++ to develop and run software applications. Experience using GPU-accelerated ML and related frameworks. Experience with Docker or other containerized application development platform Three
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mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance, GPU, or cloud-computing experience. Additional experience in the areas mentioned in
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, GPU, or cloud-computing experience. Proven ability to work independently, formulate research questions, and take initiative. Cumulative GPA of 3.0. General Notes An agency designated by the federal
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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well as the newly launched Center for Generative AI and its associated GPU cluster consisting of 600 GH200 nodes. Qualifications All candidates must hold a Ph.D. or equivalent degree in Chemistry, Molecular Biology
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for the Foundations of Machine Learning (IFML), and Good Systems initiative as well as the newly launched Center for Generative AI and its associated GPU cluster consisting of 600 GH200 nodes. All positions are subject