Meta is seeking a Planning & Capacity Engineer to join the Infrastructure Supply Chain and Engineering (ISCE) Planning team to focus on planning optimization for all of Meta's infrastructure (Servers, Data Centers, Network) supply chain. This role will focus on creating and optimizing supply chain plans at various altitudes to balance capacity, flexibility, supply, and cost, from base components to finished goods, in an environment of continual product introduction, directly managing billions of investment annually. We will do this primarily by building software and mathematical optimization models, not manual planning. The team is uniquely positioned to develop and optimize these capacity plans and scalably manage exceptions at the most strategic levels with company level impact. This role is cross-functional and provides an opportunity to work with 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 artificial intelligence. If you have an in-depth understanding of optimizing complex systems, working with large datasets, supply chains, and driving business impact, we encourage you to apply for this opportunity.

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 MS or PhD degree in Computer Science, Mathematics, Operations Research, Supply Chain Analytics or other technical field Experience planning in a complex supply chain environment, including managing trade-offs across cost, lead time, and capacity constraints Experience transforming business systems, models, and achieving results relative to goals. Experience identifying process inefficiencies and implementing improvements that delivered measurable business outcomes Experience interfacing with internal and external partners in a cross-functional environment, requiring independent judgment while coordinating people and technical resources