Senior HPC Cluster Engineer - AI, ML

About the role

You will be working with a team of passionate and skilled engineers across NVIDIA that are continuously working to provide better tools to build and manage this infrastructure. Ideal candidate is strong in building and maintaining distributed clusters, driving improvements, and has the ability to understand researcher computing needs.

What you'll do

• Provide leadership in systems administration and service delivery on our AI/HPC fleet by coordinating system upgrades, responding to incidents
• Collaborate closely with global teams to deliver a world class user experience in AI and HPC research
• Own day-to-day operations of production AI/HPC clusters, ensuring system health, user satisfaction, and efficient resource utilization
• Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions
• Build and maintain heterogeneous AI/ML clusters on-premises and in the cloud

What you need

• 5–9 yrs of experience
• Machine learning
• Python
• Root cause analysis
• Incident response
• Shell scripting
• Kubernetes
• B.Tech or B.E. or B.Sc or BCA

Good to have

• PyTorch
• TensorFlow
• Linux
• Terraform
• Ansible
• Puppet