Senior AI Infrastructure Engineer - DGX Cloud

About the role

This role demands knowledge across different systems, networking, coding, database, capacity management, continuous delivery and deployment and open source cloud enabling technologies like Kubernetes and OpenStack.

What you'll do

• Design, build, deploy, and run internal tooling for large scale AI training and Inferencing platform built on top of cloud infrastructure
• Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters
• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement
• Support services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks
• Maintain services once they are live by measuring and monitoring availability, latency and overall system health

What you need

• 5–9 years in devops & cloud
• Kubernetes
• Linux
• Terraform
• Python
• Networking
• System design
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Incident response
• C++
• Physics
• Go
• C
• Java

What you get