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-enhanced manufacturing, including digital twins, process automation, and data-driven materials supply chain optimization. The role includes working with industry partners and leveraging ORNL’s Manufacturing
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on optimization, CI/CD pipelines, and model performance monitoring (e.g., LLM/GPT frameworks). Collaborate with business and scientific teams to identify needs, gather actionable requirements, and translate them
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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, ensuring their reliability, security, and optimal performance. The successful candidate will work closely with systems engineers, analysts, and collaborators to enhance workflows, optimize infrastructure
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to optimize space utilization and meet the Lab’s strategic objectives. Major Duties/Responsibilities: Collaborates across directorates to develop and implement near- and mid-term strategic space plans
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, industrial energy systems, energy efficiency of manufacturing industry, or other related fields. You will play a crucial role in the planning, execution, and optimization of our technical assistance program
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-world solutions. The engineer will design algorithms, develop software, and integrate real-time and HPC sensing and communications systems. Major Duties/Responsibilities: Design and optimize signal
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of production systems. The ETAC Group frequently uses automation and monitoring solutions to minimize our day-to-day maintenance and are always looking for opportunities to optimize system management practices
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, integration, and support for the research community at ORNL. By providing design, deployment, optimization, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D