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tenure review process: https://facultyaffairs.oregonstate.edu/out-cycle-tenure-review-procedure . The Department of Physics at Oregon State University (OSU) invites applications for a full-time tenure
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(LLMs); Configure and optimize cloud computing solutions or on-premise infrastructures that ensure high availability and scalability; Implement tools for efficient resource management, such as GPU
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managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a
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systems. Areas of interest may include, but are not limited to: - Advanced accelerator chip technologies, such as GPUs or other specialized chips for large-scale AI processing - High-speed memory
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in using scientific computing environments, e.g. HPC cluster (CPUs and GPUs) or cloud. Proficiency with high performance computing and system architecture. Advanced skills and experience associated
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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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inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native
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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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between technical and professional development. The RSE will be part of the recently established UD’s First State AI Institute (please check out the operational AI Center of Excellence https
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is also the home of the Vermont Advanced Computing Center, a research facility with both high-performance CPU and GPU clusters. The Larner College of Medicine is a short (<5 minutes) walk from