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NPI Program Manager, AI/ML Hardware Engineering

Meta · Taipei, Taiwan

Spotted 40d ago

Job details

Level
Senior
Experience
5+ years
Posted
Sep 17, 2026
Last confirmed open
Oct 28, 2026

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NPI Program Manager, AI/ML Hardware Engineering

NPI Program Manager, AI/ML Hardware Engineering

Taipei, Taiwan

Data Center Operations

+ 2 more

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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.

NPI Program Manager, AI/ML Hardware Engineering 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

Minimum 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

Preferred Qualifications

  • 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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here .

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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