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Planning & Capacity Engineer

Meta

$117,000 - $173,000
Aug 22, 2025
Fremont, CA, USA
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Meta is seeking to optimize its infrastructure supply chain planning to balance capacity, flexibility, supply, and cost, and to ensure optimal deployment and operation of its infrastructure from both a cost and technology perspective.

Requirements

  • 4+ years of experience in performance or software engineering and/or optimization pertinent data science
  • 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

Responsibilities

  • Own infrastructure supply chain planning for Meta (as part of Meta’s overall capacity plan): including 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 yourself
  • 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

Other

  • 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
  • Experience working with cross-functional teams
  • Experience managing ambiguity
  • MS or PhD degree in Computer Science, Mathematics, Operations Research, Supply Chain Analytics or other technical field (preferred)
  • Track record of success in planning for a complex supply chain environment (preferred)