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optimal results from the ORNL’s quantum/HPC computational resources and systems. Major Duties/Responsibilities: Leadership Develop a vision and implement a cohesive group research strategy to ensure
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, and containerized environments. Develop and optimize alerts, dashboards, reports, synthetic monitors, and telemetry pipelines to identify degradation early and accelerate incident triage and root-cause
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data-driven methods for national security applications. Major Duties and Responsibilities Conduct research and development applying machine learning, statistical modeling, optimization, and data science
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functionalities. Applies advanced knowledge of ASME Y14.5-2018 standards in performing tolerance stacks to assure fit and functionality of proposed designs. Performs design analysis and optimization to ensure
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optimization across quantum and classical computing resources. Conduct hardware-software and application-system co-design by considering interactions among quantum hardware characteristics, HPC architectures
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capabilities in support of dramatic advances in our understanding of the physical world and using that knowledge to address the most pressing national and international concerns. It delivers leadership- class
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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maintain Windows server environments. Monitor and optimize system performance, ensuring uptime and reliability. Perform regular system updates, patches, and backups. STIG checking and systems compliance
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, and reporting to improve infrastructure visibility and observability. Use infrastructure data for predictive capacity planning. Optimize cooling and power efficiency from analytics. Security, Compliance
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization