University of Massachusetts Medical School

  • System Admin Engineer I - HPC

    Minimum Salary US-MA-Worcester
    Job Location 1 month ago(1/17/2020 3:42 PM)
    Requisition Number
    # of Openings
    Posted Date
    Exempt/Non-Exempt Status
    Non Union Position -W60- Non Unit Professional
  • Overview



    Under the direction of the Director of Research Computing or designee, the HPC System Administration Engineer I, supports UMass’ High Performance Computing cluster, connected storage and networking operations.



    • Provide support to HPC end users, under the direction of the Director of Research Computing or designee
    • Maintain HPC cluster’s hardware and software related to: computing, storage, and networking.
    • Acknowledge and resolve user service requests utilizing the service request management system.
    • Apply standard principles, concepts and techniques toward the identification and resolution of user problems
    • Interact with other Systems Administration staff and Manager for assistance and direction, occasionally involved in routine cross organization issues
    • Escalate more difficult user issues as appropriate.
    • Perform other duties as required.



    • Bachelor’s degree in Computer Science, Information Systems Management, or equivalent experience.
    • 1-2 years work experience in a Linux System Administration role or similar
    • Excellent oral and written communication skills
    • Ability to travel to off-site locations

    Additional Information


    • Capable of contributing within a team, exhibiting a high level of initiative, and having an eagerness to learn and implement new technologies.
    • Strong understanding of and experience working with Linux operating systems and basic IP networking.
    • Experience with open-source projects and compiling software from source
    • Ability to automate tasks using scripting languages such as bash, perl, python, etc.
    • Sufficient organizational skills to record procedures accurately and ensure reproducibility.
    • Experience with Academic research and researchers, High Performance Compute Clusters and Scheduling Software
    • Familiarity with parallel computing tools such as MPI implementations.
    • Experience with open-source and/or commercial scientific software such as MATLAB and R.


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