414 parallel-computing "University of Toronto" positions at Oak Ridge National Laboratory
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Professional to lead our new FIOD National Security Computing Section. This section will provide operational management of the routine operations and resources to enable classified high-performance
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presentations. The Learning Systems Group at Oak Ridge National Laboratory advances the next generation of artificial intelligence by co-designing algorithms and computing systems to address
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cluster management, parallel computing, and performance optimization. Demonstrated experience working in classified environments, including a thorough understanding of security policies, compliance
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focus on cluster management, parallel computing, and performance optimization. Demonstrated experience working in classified environments, including a thorough understanding of security policies
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capabilities into a distinct center with its own mission of delivering leading-edge geospatial compute and data services, driving innovation at the intersection of computing and geospatial science, and
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) and serves as a strategic research leader at the intersection of advanced computing systems, storage architectures, and high-performance networking. The successful candidate will lead
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with its own mission of delivering leading-edge geospatial compute and data services, driving innovation at the intersection of computing and geospatial science, and advancing research outcomes
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engineering, with a focus on cluster management, parallel computing, and performance optimization. Demonstrated experience working in classified environments, including a thorough understanding of security
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education and experience may be considered. 6 years of experience in HPC engineering, with a focus on cluster management, parallel computing, and performance optimization. Demonstrated experience
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(8)years of experience in HPC engineering, with a focus on cluster management, parallel computing, and performance optimization. Demonstrated experience working in classified environments, including a