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PVH is seeking a storage architect to lead the design and delivery of multi-tenant, high-performance file and block storage systems engineered for AI workloads in a modern data-centric environment.
You will own the architecture from data path to control plane, optimize IO patterns, and integrate advanced technologies like RDMA, GPU Direct, and SPDK, delivering Kubernetes-native storage components and robust observability.
Lead design and delivery of multi-tenant, high-performance file and block storage systems for AI workloads. Own architecture from data path to control plane, optimize IO patterns, integrate RDMA/GPU Direct/SPDK, ship Kubernetes-native storage (CSI, controllers, CRDs), and drive reliability, observability, and mentoring across the storage stack.
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