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) Familiarity with high-performance computing (HPC) and distributed training environments Hands-on benchmarking/Test & Evaluation of AI systems Interest in AI applications for safety, risk modeling, or scientific
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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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for sponsors across the Federal Government. We're looking for staff who bring fresh ideas from areas including information retrieval, distributed computing and storage, and data processing workflows. We need our
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working with spatio-temporal datasets and remote sensing imagery Knowledge of distributed computing and uncertainty quantification Ability to function well in a fast-paced research environment, set
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submittals) and act as the design authority for assigned systems. Work with Operations and Maintenance staff to ensure reliable operations of all Target Systems. Support the Reliability Program by providing
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scalable processing pipelines for large raster/vector datasets using distributed compute and spatial analytics tooling (e.g., Spark/Dask/Flink, Sedona/BigQuery GIS, etc.) Work with cloud-native geospatial
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across the Federal Government. We are looking for engineers who bring strong software engineering fundamentals and fresh ideas from areas such as distributed computing, information retrieval, scalable
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degree or higher in Software Engineering, Electrical Engineering, Computer Engineering, or closely related engineering discipline. Minimum of 5 years of experience developing industrial monitoring and
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laboratory skills in mechanical testing and characterization of multifaceted material powders. This Technical Professional position will directly support the Program Director, Deputy Director, and team
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. You will contribute to the development of integrated data workflows across distributed systems. You will communicate with machine operators, researchers, project PIs and other stakeholders and