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. Scientific software development and deployment. High-speed network and parallel file system architecture. Troubleshooting, diagnostics, and technical support. Strong communication and multitasking skills
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through dashboards and automation. You’ll collaborate closely with IT operations, network, and facilities to ensure reliable service, efficient capacity usage, and compliance with ORNL and industry
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Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization, monitoring
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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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, and weatherization network interactions. Excellent oral communication skills to support regular interactions with Laboratory staff, sponsors, states, and weatherization agencies. Excellent written
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AI systems that can be deployed and sustained across research programs and mission operations. This includes architecting solutions that use large language models (LLMs), multimodal and foundation
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-performance computing classified ecosystem. Major Duties and Responsibilities: Install, integrate, and administer Linux-based HPC clusters, storage systems, and high-speed networks. Monitor and optimize system
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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of major IT initiatives. • Work with staff and customers to develop and/or review solutions. • Troubleshoot and debug various Kubernetes workloads, CI/CD pipelines, and implement solutions to optimize
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reliable, automated execution of scientific applications across heterogeneous, geographically distributed computing environments, integrating compute, storage, networking, and visualization resources