Material Flow / Lineside Intern (Fall 2026)

BMW Group•Greenville, SC

42d•Onsite

About The Position

Material Flow and Lineside Planning Team member responsible for supporting logistics planning initiatives across the plant. Team member will support series changes and new vehicle launches across both assembly halls, bodyshop and/or with integrating new logistics innovation projects. There are multiple positions with logistics planning that will focus on different areas of the plant. The qualified intern/Co-op should expect to contribute & improve in the following functions:

Requirements

Operations Management, Supply Chain Management, Industrial Engineering, or related field
Microsoft Office Proficiency (Excel, PowerPoint, etc.)
Detail-oriented
Self-Starter
Possess a minimum cumulative GPA of 3.0 (not just in major)
Have enrolled student status at an accredited four-year college or university in the United States.
Completed at least 30 credit hours at time of application.
Ability to work full-time on-site (40 hours / week).
Transfer students must have a GPA from current university.
MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT
Complete and pass a substance abuse test before the work term.
THE WORK TERM DATES ARE August 10th – December 11th, 2026.

Nice To Haves

Programming knowledge preferred.

Responsibilities

Supporting implementation of autonomous logistics vehicles in the plant.
Running of weekly/monthly reporting documents.
Lineside Transition Organization and Support for series packages.
Logistics parts list checks and maintenance.
Head count planning for logistics processes for new vehicle launches.
Planning of floor space for part storage (high bay racking, block storage, supermarkets).
Planning material flow deliveries for future derivatives.
Maintaining BMW layouts using layout software.
Project Management and Time Management.
Training on AGV Upper Level System (ATS).
Organizational Skills.
Knowledge fo BMW launch process.
Communication & facilitation skills.
Planning of a Project through Completion.
Modifying existing manual processes and structures to work with autonomous vehicles.