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plant online and in parallel with PG&E. Monitors and controls load changes on the campus critical feeder and high voltage distribution system. Assists campus electricians and mechanics in instances
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, and tools used to program, profile, and debug parallel scientific applications and workflows, such as MPI, OpenMP, CUDA, C++, Rust, Python, or Fortran. Knowledge of the Linux environment. Excellent
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distributed-memory parallel applications. Experience with containers (Docker, Podman, Shifter or similar) and modern software practices such as Git, unit testing, CI/CD, and collaborative development
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the responsibility for architecting, designing, and developing software application using web technologies, distributed computation and storage frameworks, data collection nodes, and sophisticated
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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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organizing/publishing software packages. Familiarity with core data structures, algorithms, and some exposure to parallel or distributed computing. Strong quantitative and critical-thinking abilities
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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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distributions. As a core service facility, CAC provides high-performance computing and cloud computing services configured with a variety of software including Red Hat Linux, CentOS, Eucalyptus, Hadoop, SQL
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appropriate information in the laboratory information system, and scanning necessary paperwork into the laboratory information system. Distribute the referred specimens to the appropriate pathologist. 25
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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