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classified national security and scientific missions. Architect scalable compute solutions integrating CPU/GPU resources, high-speed interconnects, parallel storage, scheduling, and supporting infrastructure
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scalable compute solutions integrating CPU/GPU resources, high-speed interconnects, parallel storage, scheduling, and supporting infrastructure. Establish technical standards, architectures, and
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and comprehensive grasp of how GPU architecture affects performance for datacenter applications, especially Large Language Models (LLMs) Drive the discovery of opportunities for innovation in GPU
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compute (CPU/GPU), high-speed interconnects, storage and parallel file systems, cluster management, and user-facing platform services. In practice, the Senior HPC Architect drives end-to-end
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workflows on GPU-accelerated leadership-class and exascale computing systems. Develop methods for automating large-scale modeling and simulation campaigns, including agentic AI and scientific workflow
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engineering approaches, including HPC, AI/ML, GPU computing, containers, and other advanced computing capabilities. Collaborate with cybersecurity, networking, storage, application, HPC, and mission teams
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roles on multidisciplinary teams supporting cutting-edge research and engineering projects, deploying workflows on large-scale computing environments, leveraging ORNL’s Frontier for its dense GPU-based
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areas include: Parallel and distributed graph and or ML algorithms — shortest paths, connectivity, clustering, or graph traversal on GPU clusters and distributed-memory systems. Sparse direct and
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leadership-class computing systems and institutional clusters. Write robust Linux bash scripts and job submission scripts for SLURM and PBS environments, including multi-node GPU/CPU workflows, monitoring
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execution environments on both CPU and GPU based HPC systems. Exploration of the capabilities of DPU/IPU SmartNICs to support network security isolation, platform level root-of-trust, and secure