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systems and servers. Documenting system administration procedures for routine and complex tasks. Technical Environment: Linux build automation in a large, distributed computing environment with Puppet
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Leadership Computing Facility (OLCF), deploying the world’s first exascale supercomputer system (Frontier), and deploying some of the largest parallel file systems in the world. As a U.S. Department of
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compiler optimization techniques. Experience with distributed and parallel computing technologies such as MPI and OpenMP. Experience with large-scale neural network architectures for processing
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workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute to cutting-edge research aimed at transforming scientific data
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leading the design and deployment of HPC or large-scale distributed computing systems. Expertise with batch schedulers (SLURM, PBS, LSF) and parallel file systems (Lustre, GPFS/Spectrum Scale). Proven
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distributed computing runtime with application and compilers to efficiently integrate quantum processors with HPC resources. The research will explore different quantum computing modalities, their
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including network components. Management of the system’s network switch, parallel file system and HPC software stack and tools. Configuration of the scheduling and queuing system. Diagnosing and
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, artificial intelligence, computer networks, graphics, parallel and distributed systems, mobile systems, machine learning, Cybersecurity and secure computing, data science and AI, and theory. Our faculty are
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algorithmic intent, architectural constraints, and performance models—driving system co-design across the entire computing stack. Major Duties/Responsibilities: LLVM Compiler Innovation : Advance the LLVM
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quickly and functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed