NPI Program Manager, AI/ML Hardware Engineering

Description

As Meta's datacenter infrastructure grows rapidly in scope and scale, the increased technical complexity and velocity of new product introductions require thorough organization and integration of activities across numerous internal and external teams and manufacturing sites. The scope involves driving through dynamic and ambiguous development environments, providing clarity and alignment on supply chain and material management risks, identifying critical paths and blockers, and driving successful on-time and on-quality delivery of Meta's highest-priority NPI AI/ML hardware across our global data center footprint. You will operate across the entire NPI landscape to identify materials that are critical path or potential blockers, and manage the risks that threaten delivery. This position works closely with external manufacturing partners (ODM/OEM, suppliers, vendors, consultants) and Meta internal stakeholders including AI & Hardware Engineering, Technical Program Management, E2E NPI PM, Manufacturing Operations, Commercial/Technical/Commodity Sourcing, and all Supply Chain functions.

Responsibilities

Work with XFN hardware and software engineering business partners, data center business stakeholders, and external partners to implement NPIs with aggressive time-to-market goals, enabling the Meta infrastructure vision Review major NPI demand changes to assess the risk to the demand plan and the impact of those changes on the supply plan Identify and implement cross-functional, long-term, robust system and process for aligning NPI supply chain continuity goals and cross-program commodity management Identify, track, and manage supply chain risks across NPI programs; develop risk mitigation plans; report trends for common materials; and drive process standardization and improvements in material risk management Partner with Commercial, Technical, and Commodity Sourcing on key commodities requiring prioritization, high visibility, or escalation to meet aggressive NPI schedules, and to identify pain points and implement process improvements Partner with Supply and Demand Commodity Planning to establish long-term forecasts and prepare long-lead time materials Identify material buffers for NPI based on lead times and hardware roadmaps Manage the disposition of excess and obsolete (E&O) materials — including cross-program usage, RTV, and scrap — to minimize NPI material liability Propose and lead NPI materials planning workflow and continuous process improvements, and identify process automation opportunities Identify operational pain points and improvement opportunities across internal and external processes and workflows, and drive improvements across multiple teams and functions

Qualifications

Extensive experience with ODM/OEM providers, electromechanical systems, infrastructure hardware commodities and complex supplier systems, with a solid understanding of manufacturing and supply chain readiness Strong cross-functional collaboration skills; ability to manage and prioritize supply and demand signals across multiple programs 20% international travel is required Ability to travel to ODM and supplier sites in the Asia-Pacific region on a regular basis Excellent communication skills (both oral and written), adaptability, and alignment with Infrastructure and Supply Chain and engineering organizational goals 5+ years of experience operating in a supply chain and manufacturing environment 5+ years of program management experience, demonstrating a strong track record of working collaboratively with diverse cross-functional teams and partners across multiple global locations Strong demonstrated ability to adapt, take initiative and thrive in ambiguity, build cross-functional relationships, manage individual, team, and organization-level conflict, and resilience, leadership & motivation Experience working in international teams based out of a variety of global locations, including HQ US time zones Comprehensive end-to-end supply chain & NPI business processes knowledge (CTB, MRB, shipping, customs, logistics, and shipment tracking) in a high-tech environment Knowledge and experience working with hardware engineering, TPM, and manufacturing partner teams across the supply chain functions Experience leading cross-functional supply chain mission strategies to improve new product introduction processes and time to market Problem-solving and executive communication experience Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with NPI programs for custom AI accelerators, high-performance computing hardware, or data center infrastructure products Familiarity with silicon bring-up processes, hardware validation methodologies, and production qualification standards relevant to AI/ML hardware Background in applying program management frameworks (e.g., stage-gate, agile hardware development) to accelerate NPI cycle times for AI/ML hardware programs Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience working with contract manufacturers and ODMs on engineering validation builds and production ramp for complex compute hardware