HPC Engineer/Architect

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)