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: The Software Systems Engineer will have the responsibility for architecting, designing, and developing software application using web technologies, distributed computation and storage frameworks, data collection
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computers (e.g., parallelizing and distributing code). Experience in distributed data management and workflow systems. Preferred Competencies Ability to build systems where agents operate with independence
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cluster supports codes with distributed (MPI), shared (OpenMP), and GPU (CUDA, NVidia A100) parallelization and has high-speed scratch storage and InfiniBand interconnect systems. Teaching The College
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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
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software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux toolchains, build systems (CMake), and debugging tools Parallel
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at http://www.sci.utah.edu/ . Work Environment You will be contributing to cutting-edge computational methods for data management, HPC, edge computing and more. You will work with a diverse team of students
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experience in a large distributed computing environment. Previous experience in providing support for Linux HPC cluster used for scientific research. Technical Skills or Knowledge: Experience with installing
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programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers