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computing and network infrastructure. Ongoing upgrade projects include replacing legacy VME solutions with MicroTCA as well as developing next generation Accelerator Timing and Machine Protection Systems (MPS
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system integration, as well as embedded controller development. Experience in modeling converter topologies and distribution grids, developing control algorithms, and implementing controller code is
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to office procedures and organizational guidelines. Acquisitions and Subcontracts: Manage requisitions, purchase orders, and subcontracts for the group. Monthly Reporting: Compile and distribute monthly
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strategies. This leadership role will serve as the Group Leader for the Remote Sensing and Environmental Informatics (RESI) Group. The group’s mission is to build world-class capabilities in scientific data
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Requisition Id 15601 Overview: The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring Senior Research Scientist to push the frontier
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experimental facilities. You will be responsible for developing energy-efficient, physics-aware algorithms designed for distributed learning across both high-performance and edge computing environments. You will
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of relevant experience in Linux systems administration or HPC systems engineering. Preferred Qualifications Demonstrated experience leading the design and deployment of HPC or large-scale distributed computing
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across diverse clients. You will use Frontier's computational power to scale and validate these privacy-preserving algorithms, enabling breakthroughs across energy and image modeling domains. You will also
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preserving research initiatives, with emphasis on distributed energy resource management. Under the guidance of senior research scientists, the selected applicant will take roles on multidisciplinary teams
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large-scale training and post-training pipelines (including distributed data/compute and evaluation harnesses). Collaborate with domain scientists and external partners; co-develop end-to-end AI workflows