Experience with AI/ML infrastructure, multi-node GPU clusters, accelerated compute, model training or inference platforms, GPU scheduling, device plugins, Karpenter, cluster autoscaling, CUDA, NCCL, RoCE, InfiniBand, RDMA, SmartNIC/DPU offload, or high-performance AI/HPC networking is a significant plus. Preferred qualifications: Experience with AI/ML infrastructure, GPU workloads, multi-node GPU clusters, accelerated compute, model training or inference platforms, GPU scheduling, device plugins, Karpenter, cluster autoscaling, CUDA, NCCL, high-performance networking, or distributed training systems.