Predictive Maintenance Co-op (Fall 2026)

BMW Group • Spartanburg, SC

2d • Onsite

About The Position

Focusing on critical production equipment, the purpose of this project is to use historical data and introduce other new analytical methods to identify key strategies to avoid failures during production run time. The new methods should be able to predict failures or have swap out strategies based on historical failure timelines and incorporate condition-based monitoring technologies.

Requirements

• Preferred degree: Engineering or IT
• 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.
• Must be an enrolled student during all three rotations.

Responsibilities

• Develop new Concepts For monitoring techniques
• Using a small team plan implementation of predictive monitoring.
• Identifying opportunities Ai introduction.
• Make proposals for the interpretation of big data.
• Capture and plan all Automation improvement ideas and make plans transparent.
• Put forward proposals to increase technical availability.
• Use these proposals to track failure reduction.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed