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We have 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. We are 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 lifes work, to amplify human imagination and intelligence. Make the choice to join us today!

As a member of the GPU/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 an expert 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:

Building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions.

Maintaining and building deep learning clusters at scale.

Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows.

Root cause analysis and suggest corrective action for problems large and small scales.

Finding and fixing problems before they occur.