Research Computing GPU Systems Engineer in Stanford, CA for Stanford University
 
 
 
 
 
 

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Research Computing GPU Systems Engineer
About the RoleStanford Research Computing seeks an exceptional GPU Cluster Lead Engineer to oversee technical operations, optimization, and strategic development of Marlowe, Stanford's NVIDIA SuperPOD. This role combines deep technical expertise in GPU computing, large-scale cluster management, and leadership in supporting a diverse research community. You will serve as the technical authority on GPU infrastructure, driving system performance and reliability while enabling groundbreaking research in AI/ML, computational biology, physics, and beyond.


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