Infrastructure Supply Chain and Engineering (ISCE) ensures Meta’s infrastructure capacity needs are met and delivered by Meta’s global supply chain. This includes enabling on-time and sufficient delivery of data center equipment (ex. power, cooling, cabling), network hardware (ex. switches), and compute and storage (ex. racks) across Meta’s global infrastructure fleet. With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta’s supply chain strategy; rather than delivering racks or other hardware in isolation, it is now imperative to deliver clusters as a coordinated infrastructure product.
Responsibilities
Leverage technical understanding of interdependencies across - network, DC and server - hardware supply chain & deployments to drive a converged capacity-delivery outcome for Meta’s AI large clusters Serve as consolidated voice and source-of-truth to customer organizations and internal leadership on large cluster, supply chain status Develop and implement mid- to long-term cluster delivery strategy for Meta and Meta’s supply chain partners. This includes (a) cross-team product coordination, (b) cluster optionality and contingency plans, (c) cluster delivery staging and logistics and (d) cluster demand feasibility models Identify, flag, and coordinate the response to major technical, material, financial, and information risks impeding cluster delivery Partner with the planning team on finalizing demand and running supply scenarios. Partner with the sourcing team on commercial readiness of suppliers, and the NPI team on new hardware introduction. Lastly, partner with the manufacturing & delivery teams, and manage launch, manufacturing and deployment of hardware for large clusters Engage as needed with supplier’s material, production, and technical teams to track, consolidate, and de-risk major challenges across large cluster delivery Develop and maintain critical-path simulations, engineering economic estimates, and contingency plans in order to ensure cluster product delivery, on-time, and within acceptable budgetary guidelines Maintain current knowledge of the technology and industry trends for large clusters. Work cross functionally to define future technology directions with outsourced manufacturing suppliers
Qualifications
Blend of technical and operational experience to understand the relationship between technical roadmap, demand/supply, manufacturing and negotiations 5+ years of supply chain centric technical experience in hyperscale data centers, semiconductor industry, automation/robotics and/or associated industries BS in Engineering, Suppl Chain or related technical field or equivalent combination of education Knowledge of technology roadmaps and launch & scale of hardware systems Proven experience moving from strategy to execution and delivering results Interpersonal and communication skills with experience influencing, negotiating, building consensus and making strategic decisions Proven experience interfacing with and establishing relationships with leadership at suppliers or customers Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience interfacing with internal & external partners in an entrepreneurial and cross-functional environment, requiring a latitude for independent judgment while coordinating people and technical resources Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Master's Degree in Business or Engineering Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies