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problems. Utilize condition monitoring technologies to maximize equipment life without unexpected failures. Optimize and execute preventive maintenance to prevent known failure modes. Respond quickly and
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include the porting of lattice QCD libraries to the Exascale Architectures (e.g. Frontier at OLCF) and/or emerging programming models (HIP, SYCL, Kokkos, etc), software optimization and/or algorithmic
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-fidelity modeling, digital twins, generative models, adaptive optimization, or autonomous experiment–simulation workflows. Excellent written and oral communication skills. Motivated self-starter with
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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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Requisition Id 16789 Overview: We are seeking a Technical Professional who will focus on support to develop software to help create the digital factory of the future, assist industry in optimizing
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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, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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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
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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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optimization across quantum and classical computing resources. Conduct hardware-software and application-system co-design by considering interactions among quantum hardware characteristics, HPC architectures