Infrastructure Capacity Engineer - Supply Chain Optimization

Meta; Austin (TX); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta is seeking a Supply Chain Engineer to join the ISCE team to optimize operations and enable business processes across Meta's infrastructure supply chain. You will design software to improve efficiency, manage end-to-end PO lifecycle, and plan across components to finished goods, balancing capacity, cost, and risk.

You will work with software engineers, data scientists, and business partners to build automation and analytics that scale to billions in investments, across servers, data centers,

Qualifications

• Bachelor's degree in CS/Engineering or equivalent practical experience.
• 6+ years of experience in models, optimization, OR, or related field.
• 3+ years of coding in Python, R, Java, C, C++, or PHP.
• 3+ years in supply chain management (order, planning, manufacturing, ops, inventory).
• Experience with distributed systems at scale.

Responsibilities

• Own infrastructure supply chain planning and operations for servers, network, and data center equipment.
• Design software system improvements to optimize supply chain operations; contribute code.
• Develop data scenarios to solve complex supply chain problems and drive decisions.
• Build models for simulation and optimization of supply/demand projections and costs.
• Contribute to end-to-end supply chain processes and data for optimized plans.
• Manage escalations and cross-functional change initiatives.

Education

Bachelor's degree in CS / Engineering or equivalent practical experience

Cross-functional collaboration

Ambiguity handling

Tools

Python

R

Java

C

C++

PHP

Job description

Meta is seeking a Supply Chain Engineer to join the ISCE team to optimize operations and enable business processes across Meta's infrastructure supply chain. You will design software to improve efficiency, manage end-to-end PO lifecycle, and plan across components to finished goods, balancing capacity, cost, and risk.

You will work with software engineers, data scientists, and business partners to build automation and analytics that scale to billions in investments, across servers, data centers,