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computing software libraries (e.g., Trilinos, MFEM, PETSc, MOOSE). Experience with shared and distributed memory parallel programming models such as OpenMP and MPI. Experience with one more GPU or performance
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issues Preferred Qualifications: Experience supporting research computing, High Performance Computing, or large-scale data platforms Knowledge of distributed and high-performance file systems Experience
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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distribution drawings, wiring diagrams junction box layout and cable assembly drawings. Develop design packages to procure control system enclosures or racks from fabrication shops. Be the liaison between
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to include, but not limited to, process gas, vacuum, cryogenic, chilled water, thermal, mechanical, and electrical distribution Respond to system or unit abnormalities, diagnose the cause, and recommend
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to include, but not limited to, process gas, vacuum, cryogenic, chilled water, thermal, mechanical, and electrical distribution Respond to system or unit abnormalities, diagnose the cause, and recommend
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well as other tasks as directed by management. Duties and Responsibilities: Using knowledge of principles and operation of transmission and distribution systems, overhead and underground distribution, and
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registration updates, and supplier questionnaires. System Integration & Reporting: Assist the ORNL SAP Applications team with integration issues due to data discrepancies and generate/review/distribute
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vulnerabilities or weaknesses. Scalability and Cluster Computing Design distributed systems that support high-throughput simulations and stress-testing of AI systems under adversarial conditions. Implement cluster
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and expand field deployments across substations and distribution systems; drive standards activities to accelerate adoption; and lead publication efforts that establish ORNL’s thought leadership