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-performance computing (HPC) systems that can store, search, analyze and annotate data of the volume and complexity of the Rubin Observatory’s Legacy Survey of Space and Time (LSST) data. These frameworks will
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powerful systems for high-performance computing (HPC), artificial intelligence / machine learning (AI/ML), high-speed communications, and large-scale data storage for unclassified research. Our work drives
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. Core Responsibilities: Conceives, designs, implements, administers, optimizes, and monitors existing and future HPC systems and the cyber infrastructure that supports them. Collaborate with research
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following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC
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(HPC), distributed and scalable computing, compiler technology, and algorithm optimization. Additional expertise in applying AI/ML to electromagnetic spectrum operations is desired. Duties Lead novel
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powerful systems for high-performance computing (HPC), artificial intelligence / machine learning (AI/ML), high-speed communications, and large-scale data storage for unclassified research. Our work drives
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(HPC), distributed and scalable computing, compiler technology, and algorithm optimization. Additional expertise in applying AI/ML to electromagnetic spectrum operations is desired. Duties Lead novel
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following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC
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troubleshoot Linux/Unix servers, desktops, and HPC clusters to ensure flawless operations. Hardware Support: Install, configure, and maintain servers, workstations, and related hardware to keep our systems
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following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC