Job of the Week: IT Engineer at Case Western Reserve University

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Case Western Reserve University in Cleveland is seeking an IT Engineer in our Job of the Week.

The IT Engineer will serve as lead architect to manage, develop and design high-level systems. The position shares responsibility for the research computing services provided to the university community, which leverages the university’s investment in cyberinfrastructure. This includes identifying appropriate computational platforms (locally and externally) for research projects and diagnosing and resolving issues in the configuration, installation, tuning, and management of very large distributed and tightly coupled computer systems, based on the Linux OS.

Additionally, the incumbent will architect, procure, deploy, and operate various storage systems, fast parallel filesystems, peta-scale storage, and tape archival systems:

  • The incumbent will be a key contributor to the development of innovative solutions for supporting campus research work with the high performance computing cluster, research data storage, data visualization resources, secure research environment, and other services provided to faculty and researchers at Case Western Reserve University.
  • The incumbent will work in a challenging environment on mid-scale and large-scale local HPC, cloud computing platforms and national supercomputing facilities.
  • The incumbent will help research, evaluate, and develop new technologies to support the university’s research mission.
  • The incumbent will work directly with university researchers on projects that require specialized HPC skills.
  • The position requires honesty, integrity, and regulatory compliance when handling confidential research data, and compliance with all regulatory requirements connected to such activities, as well as adherence to established change control procedures.

Essential functions include:

  • Architect, design, build, operate, and manage core technical services, specifically including high performance computing, fast parallel storage for HPC, and general research data storage services.
  • Evaluate various storage and file system options including those based on PanFS, GPFS, Lustre, Gluster, and other technologies, and includes evaluating various computational options.
  • Develop and use tools to manage task automation on the computational systems.
  • Provide consulting, programming, and other effort to faculty and research staff in identifying and using high performance clusters, research storage, and research archival systems.
  • Collaborate with faculty on research projects and identify external funding opportunities, and write research proposals to federal, state and private entities; facilitate interdisciplinary research.
  • Develop and teach workshops, course modules, seminars, and training sessions in basic use of HPC resources, MPI programming, C/C++/FORTRAN debugging, GPU computing, and other topics.

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