160 high-performance-computing positions at Oak Ridge National Laboratory in United States
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&D, production, dispensing to support the ORNL Stable Isotope Program. Specifically, we handle and dispense enriched gases, transform stable isotopic material into enriched gaseous products, purify
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Requisition Id 15815 Overview: The Workflows and Ecosystem Services (WES) group under the Advanced Technology Section (ATS) of the National Center for Computational Sciences (NCCS) is seeking a
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environments in the world. This evergreen posting represents multiple potential openings for senior-level roles across ORNL’s high-performance computing ecosystem. Senior HPC Linux Systems Engineers
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opportunities, and collaborations that will propel your career forward. Specifically, we are seeking an R&D Associate who will focus on the development of high precision methods for isotopic and trace analysis
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manufacturing, toolpath generation, machine tool operation, and data analysis. As part of this role, you will be tasked to lead the management of project timelines, troubleshoot equipment for routine maintenance
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centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments. Major Duties
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Requisition Id 15736 Overview: We are seeking an Operations Specialist for the High Flux Isotope Reactor (HFIR). This position reports to the HFIR Operations Section Head and interfaces with all
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for professional and technical services, commercial items and specialized materials, equipment and/or commercial services with medium to high levels of complexity and value and independently providing procurement
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to contribute to development of alloys with desirable advances in mechanical properties, thermal/electrical properties, and processability. A background in solidification processing, high pressure die casting
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a team. Comfortable in a multi-disciplinary environment. Preferred Qualifications: Experience conducting land surface model simulations in high-performance computing environments, evaluating models