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for structured and unstructured data Familiarity with high-performance computing, cloud environments, or distributed data systems Familiarity with uncertainty quantification methods in AI/ML Ability to present
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an ongoing random drug testing program. In addition, due the SCI, you may be also be subject to random polygraph testing. This position is a full-time staff position. Remarks: Technical questions should be
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environments. Leverage cloud object storage (e.g., Amazon S3) for data staging and artifacts; implement parallel, secure data movement and lifecycle policies. Basic Qualifications: Ph.D. in Computer
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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
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organizing workshops, reports, position papers and detailed roadmaps to foster cross-agency engagement and outline utility-scale roadmaps for the QHPC initiative. Qualifications: PhD in Quantum 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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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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Requisition Id 16186 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking
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and processes at scale in a HPC environment. Design and develop new creative solutions for increasing large volumes of historical and streaming data analysis on hybrid HPC and cloud computing platforms
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challenges. Our research capabilities include radar and optics technologies, radio frequency (RF) communications, computational imaging, artificial intelligence / machine learning (AI/ML), neuromorphic sensing