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ORNL’s research mission. The success of every research project at ORNL depends on the Utilities Division’s ability to provide uninterrupted utility services. These utilities include electrical distribution
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efforts across scientific systems. Develop and apply federated learning on distributed and heterogenous datasets. Develop more efficient and resilient DP techniques that minimize performance loss while
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circuit design, power distribution hardware, embedded systems, and industrial sensing applications. The successful candidate will be a highly motivated and creative problem solver, comfortable parsing
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, independent judgment. task leading, and document development. Work may include power distribution systems, electrical design services for beamline instruments and conventional facilities, and experimental
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electrical systems, UPS, HVAC, cooling systems, and power distribution in data center environments. Familiarity with Data Center Infrastructure Management (DCIM) tools including telemetry ingestion and
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for Science @ Scale: Pretraining, instruction tuning, continued pretraining, Mixture-of-Experts; distributed training/inference (FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation
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single node between multiple secure workloads. Investigate and evaluate mechanisms for secure encrypted communication across RDMA based networks. Design and evaluate key distribution and management
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Directorate within Oak Ridge National Lab. In this role, you will support the development of next-generation software and data strategies that enable operational situational awareness products for sponsors
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Directorate within Oak Ridge National Lab. The geospatial data engineer will support the development of next generation data strategies that will support and deploy operational situational awareness products
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, signal generators, process meters) Experience using modern version-control and CI/DC platforms such as GitHub, GitLab, or Bitbucket. Ability to implement unit testing, author verification and validation (V