Infra Supply Chain Capacity Engineer – Optimize & Automate

Socket.dev; Fremont (CA); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Supply Chain Engineer to join ISCE, focusing on operations and business enablement for infrastructure supply chains. The role emphasizes software-driven tooling to optimize planning, PO lifecycle, and capacity across servers, data centers, and networking equipment.

The candidate will build and apply optimization models, collaborate with software engineers, and drive data-informed decisions to balance cost and capacity in a dynamic hardware environment.

Qualifications

• Bachelor's degree in a relevant technical field or equivalent experience.
• Experience with design/implementation of models and optimization algorithms.
• Experience with scripting languages and data analysis in large scale systems.

Responsibilities

• Own infrastructure supply chain planning and operations for servers, network, and data center equipment.
• Design software system improvements to optimize supply chain operations.
• Develop and analyze data and scenarios to drive decisions.
• Build models for simulation and optimization of supply/demand, costs and capacity.
• Contribute to end-to-end supply chain processes and data for optimized planning.
• Manage escalations and work with cross-functional teams to drive change.

Skills

Python

R

Java

C/C++

SQL

Operations research

Data analysis

Cross-functional collaboration

Optimization modeling

Education

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

Job description

Meta is seeking a Supply Chain Engineer to join ISCE, focusing on operations and business enablement for infrastructure supply chains. The role emphasizes software-driven tooling to optimize planning, PO lifecycle, and capacity across servers, data centers, and networking equipment.

The candidate will build and apply optimization models, collaborate with software engineers, and drive data-informed decisions to balance cost and capacity in a dynamic hardware environment.