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architecture, and ORNL’s enterprise and high-performance computing (HPC) environments. The role is typically less about building individual models and more about designing, integrating, and governing end-to-end
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. You will have the opportunity to creatively use methods from generative AI, agentic AI systems, computational data science, machine learning, high-performance computing, cloud platforms, and geospatial
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computer science, information technology, software engineering, or related field and 8 years of relevant IT experience. An equivalent combination of education and experience may be considered. Experience with
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are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments. Major
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and cloud computing platforms. Formulating necessary solutions using various parallel computing paradigms and tools, HPC schedulers (such as slurm), Containers and Kubernetes, Python, Bash and other
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS in Computer Science, Information Technology, or a related field; or 8-12 years of equivalent experience in
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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
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Requisition Id 16761 Overview: As a Senior HPC Architect at Oak Ridge National Laboratory (ORNL), you will lead the architecture, design, and evolution of high-performance computing platforms
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models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments