Requirements:

A degree in Computer Science, Engineering, or a related field and 5+ years of experience
Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software
Experience with job scheduling workloads and orchestration tools such as Slurm, K8s
Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking and internals
Experience with multiple storage solutions such as Lustre, GPFS, zfs, and xfs
Python programming and bash scripting experience
Comfortable with automation and configuration management tools such as Jenkins, Ansible, Puppet/chef
Deep knowledge of Networking Protocols like InfiniBand, Ethernet
Deep understanding and experience with virtual systems (e.g., VMware, Hyper-V, KVM, or Citrix)
Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud)

What you'll be doing:

Design, implement, and maintain large scale HPC/AI clusters with monitoring, logging, and alerting
Manage Linux job/workload schedules and orchestration tools
Develop and maintain continuous integration and delivery pipelines
Develop tooling to automate deployment and management of large-scale infrastructure environments
Deploy monitoring solutions for the servers, network, and storage
Perform troubleshooting bottom up from bare metal to application level
Develop, re-define, and document standard methodologies to share with internal teams
Support Research & Development activities and engage in POCs/POVs for future improvements