128 high-performance-computing positions at Oak Ridge National Laboratory in United States
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the world. This evergreen posting represents multiple potential openings across ORNL’s high-performance computing ecosystem. Successful candidates will help architect, deploy, and maintain HPC systems
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across ORNL’s high-performance computing (HPC) environment, supporting scalable, reliable, and secure computing and storage capabilities. Applications are reviewed on an ongoing basis as new positions
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to enable autonomous, feedback-driven experimentation and adaptive workflow reasoning. Integration of HPC + AI + QC Workflows: Develop innovative hybrid workflows that integrate High-Performance Computing
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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version control, CI/CD, testing frameworks, configuration management, and scalable computing architectures. Familiarity with high-performance computing (HPC), data management workflows, or large-scale data
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our growing research team. These positions focus on developing next-generation AI and high-performance computing (HPC) methods for computational imaging and spatiotemporal data analysis. We
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, and disposition of various radioactive waste streams. Keep work areas in a safe, clear, and orderly condition. Perform other related duties as assigned by the BVO managers/supervisors. Ensure compliance
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Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Pursue a high-quality personal research program using neutron spectroscopy, build national and international collaborations
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Requisition Id 15768 Overview: We are seeking a Nuclear Reactor Controller (Reactor Operator) for the High Flux Isotope Reactor (HFIR). Under limited supervision, this position is responsible