Overview
Define the product strategy, and multi-year roadmap for GPU back-end networking capabilities. Engage strategic customers and internal workload teams to understand requirements, manage competing product priorities to deliver infrastructure for AI workloads at scale. Translate customer AI training and inference workload needs into clear product requirements for bandwidth, latency, topology, congestion management, resiliency, security, observability, and serviceability. Own the end-to-end product lifecycle from concept and plan of record through new product introduction, qualification, launch, scale deployment, and lifecycle improvement. Drive alignment and execution across hardware and software engineering, networking, architecture, datacenter infrastructure, operations, supply chain, finance, and customer-facing teams. Influence supplier roadmaps and product definitions across GPU systems
Full job description
Full Job Description
Define the product strategy, and multi-year roadmap for GPU back-end networking capabilities. Engage strategic customers and internal workload teams to understand requirements, manage competing product priorities to deliver infrastructure for AI workloads at scale. Translate customer AI training and inference workload needs into clear product requirements for bandwidth, latency, topology, congestion management, resiliency, security, observability, and serviceability. Own the end-to-end product lifecycle from concept and plan of record through new product introduction, qualification, launch, scale deployment, and lifecycle improvement. Drive alignment and execution across hardware and software engineering, networking, architecture, datacenter infrastructure, operations, supply chain, finance, and customer-facing teams. Influence supplier roadmaps and product definitions across GPU systems, network interface devices, switches, optics, cables, and interconnect technologies; resolve technical and business tradeoffs to improve platform outcomes. Establish success metrics and operating mechanisms for performance, reliability, availability, deployment readiness, cost efficiency, and launch health; use customer signals, telemetry, and incident learnings to prioritize improvements. Bachelor's Degree AND 5+ years experience in product/service/program management or software development 1+ years experience with GPU or AI-accelerated hardware systems and infrastructure, including the ability to translate complex system concepts into product requirements, roadmaps, and execution plans. 1+ years experience with datacenter networking or accelerated computing infrastructure, including technologies such as Ethernet, InfiniBand, RDMA, network interface devices, switches, optics, NVLink etc. Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. 2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
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