As a member of the GPU AI/HPC Infrastructure team, you will provide leadership in the design and implementation of ground breaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads. We seek a technical leader to identify architectural changes and/or completely new approaches for our GPU Compute Clusters. As an expert, you will help us with the strategic challenges we encounter including: compute, networking, and storage design for large scale, high performance workloads, effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and growth planning across our global computing environment.

Provide leadership and strategic guidance on the management of large-scale HPC systems including the deployment of compute, networking, and storage.

Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions

Build and maintain AI and ML heterogeneous clusters on-premises and in the cloud

Create and cultivate customer and cross-team relationships to reliably sustain the clusters and meet user evolving user needs

Support our researchers to run their workloads including performance analysis and optimizations

Conduct root cause analysis and suggest corrective action Proactively find and fix issues before they occur