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telemetry usable at scale. Drive the technical roadmap, release process, and architecture of the software. Multi-Institutional Project and Technical Leadership: Serve as ORNL's technical lead for cross
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and technical leadership in systems architecture for next-generation leadership-class high-performance computing. This position is embedded within the Oak Ridge Leadership Computing Facility (OLCF) and
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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workflows, including architectures and orchestration for AI agents operating across HPC, data, and experimental facilities, and the provenance, evaluation, and trustworthiness methods needed to run them
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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Integration group within NCCS. Specific areas of research interest include: Flexible, composable storage service architectures that expose useful data container abstractions and interfaces for applications
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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
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supercomputer. The role includes developing and advancing open-source software for large-scale hyperparameter optimization (HPO), neural architecture search (NAS), and Bayesian optimization on distributed HPC
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consequence management for DOE, DOD, and DHS sponsors. In this role, you will serve as a senior technical leader responsible for the architecture, development, and sustained operation of enterprise AI and data