SeniorAIandMLHPCClusterEngineer

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today! 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. **What you 'll be doing:** * 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