Supply Chain Capacity Engineer - Business Enablement

Meta; Fremont, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Meta is seeking a Supply Chain Engineer to join the ISCE team, focusing on operations and business enablement for Meta's infrastructure supply chain. You will optimize operations, manage the PO lifecycle, and plan across levels from components to finished goods.

This role emphasizes building software and automation tools, cross-functional collaboration, and cost-effective, scalable solutions for billions of dollars in investments annually.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.
• 6+ years of experience in designing and implementing models, optimization algorithms, operations research, industrial engineering, or related field.
• 3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP.
• 3+ years of experience in supply chain management—order management, planning, manufacturing, operations, inventory, etc.
• Experience with data visualization platforms to build supply chain reporting and capacity coverage dashboards.
• Experience applying AI or automation tools to improve planning workflows, forecast accuracy, or visibility.

Responsibilities

• Build software and workflow automation tooling to optimize supply chain operations.
• Manage end-to-end purchase order lifecycle and planning to balance capacity, flexibility, supply capability, and cost.
• Collaborate with cross-functional teams to power Meta's infrastructure growth and improve planning workflows.

Skills

Optimization

Operations research

Data analysis

Python

R

Java

C

C++

Scripting

Cross-functional collaboration

Forecasting

Education

Bachelor's degree in Computer Science/Computer Engineering or related field

Tools

SQL

BI tools

Job description

Meta is seeking a Supply Chain Engineer to join the Infrastructure Supply Chain and Engineering (ISCE) team to focus on operations and business enablement for all of Meta's infrastructure (servers, data centers, network) supply chain. This role will focus on optimizing supply chain operations, managing end-to-end purchase order lifecycle, and planning at various levels to balance capacity, flexibility, supply capability, and cost, from base components through manufacturing to finished goods, in an environment of continual product introduction, directly managing billions of dollars in investments annually. 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.

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, etcExperience working with distributed systems at scaleExperience in infrastructure operations and technical infrastructure knowledgeExperience with planning or optimization or modeling or performance analysisExperience working with cross-functional teamsExperience managing ambiguity Experience using business intelligence or data visualization platforms to build supply chain reporting and capacity coverage dashboardsTrack record of applying AI or automation tools to improve planning workflows, forecast accuracy, or supply chain visibilityExperience with data center infrastructure supply chains, including server hardware, networking equipment, or storage systems procurement and deployment planningFamiliarity with statistical forecasting methods or demand planning tools applied to infrastructure or hardware supply chains