HPC Engineer/Architect

Comspark groupNew York, NY
Hybrid

About The Position

You will support day-to-day operations of large-scale parallel file systems, deploy and maintain Linux HPC infrastructure across multiple data centers, and assist HPC engineers and architects with day-to-day operations and tickets. Support day-to-day operations of large-scale parallel file systems Deploy and Maintain Linux HPC infrastructure across multiple datacenters Assist HPC engineers and architects with day-to-day operations and tickets

Requirements

  • Linux Operating Systems (RHEL/CentOS)
  • Parallel file system (GPFS)
  • Job Scheduler LSF/Slrm
  • Anxible
  • Python
  • Shell scripting
  • GPU-based compute infrastructure (including CUDA)
  • CentOS 4.5
  • HPCC
  • Experience working in a large-scale research based HPC environment
  • Proven experience working with distributed file storage solutions (i.e., GPFS)
  • Experience with deploying and troubleshooting Linux Operating Systems (RHEL/CentOS)
  • Experience with Scripting and Automation (Ansible, Python, Shell Scripting)
  • Solid understanding of job schedulers (LSF/SLURM)
  • Experience with GPU-based compute infrastructure (including CUDA)

Responsibilities

  • Design, architect and oversee implementation of Linux based HPC clusters and storage
  • Deploy physical hardware using HPC deployment tools and configuration and orchestration tools (Ansible)
  • Parallel file system (GPFS) performance tuning, monitoring and troubleshooting
  • Perform systems benchmarking, and developing automated tests for the HPC environment, ensuring the reliability and efficiency of our computational infrastructure
  • Infiniband network maintenance and troubleshooting
  • Automate and monitor the HPC user lifecycle process
  • Slurm installation, configuration, performance tuning and troubleshooting
  • Plan, design and implement a transition from the LSF scheduler to Slurm
  • Manage the Slurm scheduler and translate Research policies into scheduler configurations
  • Consult with faculty and students to develop research pipelines for use on the HPC cluster
  • Develop and maintain user lifecycle software suite in Python, implement CI/CD pipeline
  • Test and automate upgrades of critical system applications using Ansible and shell scripts.
  • The ability to communicate effectively with clinicians, researchers, and other team members to develop technological solutions is key
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