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Meta

Planning & Capacity Engineer

Meta, Menlo Park, California, United States, 94029

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Overview

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 variance 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. It 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.

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

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

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

8+ years of experience in performance or software engineering and/or optimization pertinent data science or equivalent practical experience

8+ years of experience in designing and implementing models and optimization algorithms

4+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP

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 optimizing complex systems, working with large datasets, and driving business impact

Preferred Qualifications

MS or PhD degree in Computer Science, Mathematics, Operations Research, Supply Chain Analytics or other technical field

4+ years of experience in supply chain management - planning, manufacturing, operations, inventory, etc

Track record of success in planning for a complex supply chain environment

Experience transforming business systems, models, and achieving results relative to goals. Demonstrated skills questioning the norm, thinking out-of-bounds, and delivering

Experience interfacing with internal and external partners in a cross-functional environment, requiring a latitude for judgment while coordinating people and technical resources

Salary and Benefits Base pay range: $177,000.00/yr - $251,000.00/yr

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$177,000/year to $251,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed reflect the base salary and do not include bonus, equity or incentives where applicable. Meta offers benefits. Learn more about benefits at Meta.

About Meta Meta builds technologies that help people connect, find communities, and grow businesses. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, age, protected veteran status, disability status, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program where required by law. Meta may use artificial intelligence and machine learning in applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Location and Career Opportunities Locations mentioned include Menlo Park, CA and other California sites. Referrals increase your chances of interviewing at Meta.

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