203 high-performance-computing positions at Oak Ridge National Laboratory in United States
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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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. 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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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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for all data center equipment. Identify and resolve problems involving infrastructure telemetry, capacity reporting, DCIM data ingestion, and facility system performance to support enterprise operational
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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
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team that includes condensed matter theorists, experts in neutron/X-ray scattering, and experts in thin film and single crystal materials growth and characterization. You will perform cutting-edge
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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motivated and talented postdoctoral research associate(s) to join our dynamic team. This role lies at the exciting intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI) at scale
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, integration, verification & validation, sustainment). This position resides in the Support Services & Isolated Environments group in the Research Computing division of the Information Technology Services