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Supply Chain Capacity Engineer

Meta· Data Center Strategy
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Menlo Park, CA$117k - $181kFull-timePosted 1mo ago

About the role

Planning & Capacity Engineer role focused on planning optimization for Meta’s infrastructure supply chain (servers, data centers, network). Build software and mathematical optimization models to balance capacity, flexibility, supply, and cost from components to finished goods, coordinating with cross-functional teams to drive scalable, data-driven decisions and cost-effective infrastructure deployment.

Responsibilities

  • Own infrastructure supply chain planning for Meta (servers, network, and data center equipment from components to finished goods
  • Design improvements to software systems to improve supply chain planning efficiency and quality, partner with software engineers to implement and contribute code
  • Develop and analyze business and technical data and scenarios to drive executive decisions around infrastructure supply and spend
  • Contribute to end-to-end supply chain planning processes (as part of Meta’s overall capacity plan), methodologies, and data to deliver an executable and optimized supply plan
  • Manage and resolve critical escalations and exceptions in all areas of the supply chain
  • Critique demand signals curated by upstream teams, and build an anticipatory demand view for ISCE through mathematical modeling and business judgement
  • Influence and interweave technology strategy and transitions into planning models
  • Develop and code models that drive supply flexibility and optionality to best balance delivery of required capacity, cost, and risk
  • Build mathematical models to perform simulation and optimization studies of demand projections, scenario planning, and gap closure analysis while balancing constraints, product mixes and inventory costs
  • Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels
  • Partner across Infra - platform teams, server hardware engineering, network engineering, data center engineering, operations, capacity planning, networking planning, data center planning, energy - to find the most optimal ways to build and scale our Infrastructure
  • Partner with Finance to balance cost efficiency with technical, product and supply chain considerations

Qualifications

  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • 4+ years of experience in software engineering, performance engineering, or data science focused on optimization
  • 4+ years of experience in designing and implementing models and optimization algorithms
  • 2+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
  • 2+ years of experience in supply chain management - planning, manufacturing, operations, inventory, etc
  • Experience working with distributed systems at scale
  • Experience in supply chain planning optimization
  • Experience in infrastructure operations and technical infrastructure knowledge
  • Experience working with cross-functional teams
  • Experience navigating undefined problem spaces by identifying key questions, gathering data, and driving toward actionable decisions

Skills

Required:Optimization and modelingData analysisProgramming/scripting

Benefits

  • benefits mentioned on Meta career pages (not explicitly listed in the description)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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