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work with the architecture team\nKey Responsibilities\nDeploy and operate NVIDIA AI Enterprise NVAIE on EKS GPU Operator drivers CUDA runtime and DCGMDeploy and operate NIM microservices and NVIDIA Dynamo serving exposing the OpenAIcompatible API chatcompletions embeddings streaming batchConfigure GPU sharing MIG where the SKU supports it and RunAI fractional GPU as the isolation baseline and clearly distinguish hardware vs software isolationIntegrate RunAI for GPU scheduling quota and preemption and KEDA for replica autoscaling including scaletozeroInstrument GPU telemetry via DCGM and drive inference performance validation and SLAtier bindingSupport the modelonboarding NIM packaging and inferencedeploy pipelinesTune GPUserving performance and troubleshoot CUDA driver and scheduling issuesMustHave Skills Experience8 years in infrastructureML engineering with handson NVIDIA GPU operationsNVIDIA GPU stack drivers CUDA GPU Operator and DCGMModel serving Triton NVIDIA Dynamo NIM 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