The selected candidate will join the team responsible for engineering and operating large-scale GPU and compute platforms that power AI/ML and high performance computing workloads across multiple datacenters. The team manages Kubernetes-based GPU environments, cluster infrastructure, and the supporting systems that enable internal engineering teams to train models, run simulations, and develop advanced software at scale. This role focuses on building reliable, scalable GPU platforms and helping internal users successfully run AI/ML and high-performance workloads on Kubernetes and related compute infrastructure.
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Education Level
No Education Listed
Number of Employees
5,001-10,000 employees