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Open nowPosted 611 days ago

HPC Engineer/Architect

comsparkint29 open roles

Where
New York, NY
Work mode
On site
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Your applicationOpen nowHPC Engineer/Architectcomsparkint · New York, NY

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  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 611 days ago

The posting

Job Title: HPC Engineer/Architect

Work Location: New York, NY 10001

Job Type: Contract

Work Type: Hybrid

Duration: 6+ Months

USC/GC/H4/H1

Job Summary:

  • 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

Experience:

  • 16 to 20 years

Required Skills:

  • 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

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

Qualifications:

  • 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)
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