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Job No. 153977

  • Job Title:
  • Lead High Performance Computing Engineer
  • Employer:
  • Brown University
  • Location:
  • Providence , RI
  • Posting Date:
  • 29-Oct-2024
  • Description:
  • Job Description:

    Lead High Performance Computing Engineer

    Office of Information Technology

    The Lead High Performance Computing Engineer is responsible for the HPC team that manages high-performance computing (HPC) cluster, storage, and networking infrastructure. This includes, but is not limited to the integration of HPC systems with Brown’s overarching IT infrastructure, deployment and management of parallel file systems, and maintaining system security. The Lead HPC Engineer is expected to occasionally debug and possibly rewrite low-level systems software, evaluate software for potential acquisition, and work closely with vendors’ support organizations to ensure timely resolution of problems and high availability of CCV production services. In addition, occasional user support will be performed to assist in system-level application debugging/optimization.

    Qualifications:

    Education

    Bachelor’s degree preferred
    Required Experience

    3 - 5 years of experience with Linux systems administration
    Lead or supervisory experience
    Familiarity and experience with many of the following

    Research computing environments

    RHEL/CentOS Linux operating management experience

    Problem resolution and troubleshooting skills; e.g. dump reading, traces, etc

    Excellent interpersonal and communications skills (both oral and written)

    Strong ability to multi-task and prioritize activities

    Conceptual knowledge of all and in-depth knowledge of some of the following: systems architectures, security, networking, storage systems, parallel computing, batch/scheduling systems

    Knowledge of programming languages such as C, C++, bash, Perl, etc.

    Use of source control systems such as Git

    Use of log correlation software such as Sumologic

    Knowledge of large-scale research computing platforms such as Globus, HPC environments, SLURM, GPFS

    Machine Learning Frameworks, including Tensorflow

    Demonstrates a willingness and ability to support a diverse and inclusive environment.

    Preferred Experience

    GPFS, Lustre, or BeeGFS filesystem experience

    basic knowledge of MPI programming and RDMA interconnects

    Infiniband

    SLURM
  •  Contact information:
  • Brown University
  • Providence, RI 2912
  • United States
  • Employer's Website:
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