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organizations, regulatory agencies, peer groups, and the research community. Strong knowledge of a wide range of IT services relevant to research support, including network infrastructure, cloud computing
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or PhD in Computer Science, Computer Engineering, Cybersecurity, or related fields with 2-4 years of experience. Proven experience architecting and implementing complex distributed systems tailored
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., ML Ops for geospatial data, real-time analytics, cloud/HPC hybrid, edge geospatial compute, neuromorphic, quantum), pilot new capabilities, foster innovation partnerships (academia, industry, federal
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degree with a minimum of 4 years of experience, or a PhD in Electrical Engineering, Physics, Computer Engineering, or related field Experience in research environments focused on advanced SPM or equivalent
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
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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 Duties