AME Smart Factory Intern

Vertiv • Anderson, SC

4h

About The Position

This internship supports the implementation and validation of Smart Factory
Inventory Management systems that provide real‑time visibility of inventory,
WIP, and material flow inside the manufacturing facility.

The intern will help connect physical material reality (what is actually on the
floor) with digital systems used for planning, replenishment, and execution.
This role focuses on material flow inside the factory, not corporate ERP
transactions.

Requirements

• Currently pursuing a degree in: Industrial Engineering Manufacturing Engineering Supply Chain Engineering Systems Engineering
• Comfortable spending time on the shop floor observing material flow
• Strong analytical and problem‑solving skills
• Able to document processes clearly and objectively

Nice To Haves

• Exposure to: Lean manufacturing concepts (Kanban, supermarkets, pull systems) Inventory management or material handling Digital manufacturing or smart factory concepts
• Familiarity with Excel, dashboards, or basic data analysis

Responsibilities

• Support deployment of IoT‑enabled inventory tracking, and large language video model environmental AI for raw material, WIP, kits, carts, and finished goods on the shop floor
• Assist in identifying and instrumenting material locations, such as: Supermarkets Line‑side buffers Kitting areas Staging and hold zones
• Validate that inventory state changes (arrive, consume, move, exit) are correctly captured
• Work with engineers to map actual material flow paths versus expected flow
• Validate that digital inventory states reflect real movements and consumption
• Help identify mismatches between: System inventory Physical inventory Production demand signals
• Assist in validating inventory thresholds, alerts, and triggers for: Shortages Overages Stagnant or blocked material
• Support testing of automated alerts that inform material handlers or planners in real time
• Perform spot checks comparing digital inventory records to physical counts
• Help identify root causes of inventory inaccuracy (missed scans, late moves, incorrect locations)
• Support continuous improvement of data reliability and trustworthiness
• Document: Inventory tracking methods Location naming conventions Material state definitions
• Contribute to repeatable standards for Smart Factory Inventory Management deployment at additional sites

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees