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Field
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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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computing (HPC) systems, including GPUs, and programming, such as using CUDA, MPI, AI/ML/DL, and advanced debuggers and performance analyzers. Familiarity with working on open-source projects. About UF
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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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-track faculty position at the rank of Assistant Professor beginning in August 2026. Areas of particular interest include computer architecture, embedded systems, GPU architectures, SOC and ASIC design
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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
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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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, advancing bioinformatics-driven research, facilitated by exceptional computational infrastructure including a centrally administered high-performance CPU and GPU cluster and network storage. This includes
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for applications targeting HPC systems Digital twins, especially of HPC systems Development of performance portable software for scalable GPU-accelerated HPC systems using approaches like the Kokkos abstraction
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research. Strong technical expertise in large scale data analysis, statistical and simulation tools, machine learning, AI and GPU programming. Experience with one more of these scientific collaborations
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performance. The Project/Program Manager (Systems Engineer) focuses on the deployment, configuration, monitoring, and maintenance of GPU-enabled servers, virtualized environments, and hybrid infrastructure