208 high-performance-computing positions at Oak Ridge National Laboratory in United States
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Requisition Id 16793 Overview: We are seeking a Manufacturing Operations Support Lead who will lead the development, governance, and continuous improvement of controlled documentation program by
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technology, and high-performance computing for sensitive national security missions. We draw on the Laboratory’s exceptional facilities and work closely with leading researchers in other S&T areas at the lab
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computational resources and will be expected to publish research, present results, and contribute to high-impact programs. With over 100 manufacturing systems at the MDF, this role offers the opportunity to work
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and development projects related to the implementation of residential weatherization programs. The IBDA Group works to optimize the energy performance of residential buildings and residential
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desirable. Computer Aided Machining (CAM) package experience. Coordinate Measuring Machine (CMM) experience (programming and operation). Electrical knowledge relating to manufacturing process automation
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, build, and sustain test configurations that support performance verification for prototype components and systems. A key aspect of this role is the installation, commissioning, and operation of high
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crucial role in managing and supporting Windows servers and large storage systems! Areas of focus include maintaining system health, analyzing system performance, and ensuring all activities are documented
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Intelligence (AI) High performance Computing (HPC) IT and Linux Systems Engineering Finance Procurement and other Military Occupational Code (MOC) projects Service members will also have the opportunity
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. Demonstrated programming ability and knowledge of Python and/or C++. Experience with deep learning frameworks like PyTorch and application on high-performance computing (HPC) environments using distributed data
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing