Supply Chain Capacity Engineer - Business Enablement
Job in
Menlo Park, San Mateo County, California, 94029, USA
Listed on 2026-10-20
Listing for:
Meta
Full Time
position Listed on 2026-10-20
Job specializations:
-
Supply Chain/Logistics
Supply Chain Management, Procurement / Purchasing, Logistics Coordination
Job Description & How to Apply Below
We will do this primarily by building software and workflow automation tooling, not manual spreadsheets.
This role is very cross-functional and provides an opportunity to work with supply chain partners and a variety of engineering and business teams to power the rapid growth of Meta's products. This role will help to ensure optimal deployment and operation of our infrastructure from both a cost and technology perspective, with millions of servers, gigawatts of data center capacity, and cutting-edge technology including advanced AI.Supply
Chain Capacity Engineer - Business Enablement Responsibilities:
Own infrastructure supply chain planning and operations for Meta (as part of Meta's overall capacity plan): including servers, network, and data center equipment from components through manufacturing to finished goods
Design improvements to software systems to optimize supply chain operations efficiency and quality, partner with software engineers to implement and contribute code yourself
Develop and analyze business and technical data and scenarios to solve complex supply chain problems and drive decision-making
Build mathematical models to perform simulation and optimization studies of supply/demand projections, scenario planning, and gap closure analysis while balancing constraints, product mixes, and costs
Contribute to end-to-end supply chain 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
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
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience6+ years of experience in designing and implementing models, optimization algorithms, operations research, industrial engineering, or related field3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP3+ years of experience in supply chain management — order management, planning, manufacturing, operations, inventory, etc Experience working with distributed systems at scale
Experience in infrastructure operations and technical infrastructure knowledge
Experience with planning or optimization or modeling or performance analysis
Experience working with cross-functional teams
Experience managing ambiguity
Preferred Qualifications:
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience using business intelligence or data visualization platforms to build supply chain reporting and capacity coverage dashboards
Experience with data center infrastructure supply chains, including server hardware, networking equipment, or storage systems procurement and deployment planning
Familiarity with statistical forecasting methods or demand planning tools applied to infrastructure or hardware supply chains
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