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• Starts Aug 11

Predictive Maintenance Co-Op (Fall 2024)

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BMW Group

22d ago

🚀 Off-cycle Internship


AI generated summary

  • You need IT programming skills, knowledge of Mechanical/Electrical Engineering & Maintenance Techniques, GPA of 3.0, US college full-time status, and ability to work 40 hours/week. Must complete 3 co-op terms. Transcript and substance abuse test required.
  • You will focus on analyzing data and developing predictive maintenance strategies to prevent equipment failures, improve production efficiency, and implement new monitoring techniques.

Off-cycle Internship

IT & Cybersecurity, EngineeringSpartanburg


  • Innovation is imagining what’s NEXT when no one else can. Shaping your future starts here, as we believe our Gen>NEXT students are the future leaders of BMW. Our vision is to secure BMW Manufacturing’s excellence by attracting the best of the best. We believe in creating a hands-on environment where you can directly impact the future of mobility. You will be guided and mentored throughout inspiring tasks and projects. As one of our Gen>NEXT students, you will be part of the team from day one and encouraged to add new ideas and value to the business.


  • IT programming competence.
  • knowledge of Mechanical / Electrical Engineering.
  • Knowledge of Maintenance Techniques.
  • Able to communicate to all levels of function.
  • Possess a minimum cumulative GPA of 3.0 (not just in major).
  • Have full-time 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 complete 3 alternating work terms for co-op positions.
  • Ability to work full-time (40 hours / week).
  • Transfer students must have a GPA from current university.
  • Complete and pass a substance abuse test before the work term.

Education requirements

Currently Studying

Area of Responsibilities

IT & Cybersecurity


  • The qualified co-op should expect to contribute & improve in the following functions:
  • Focus 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.
  • Develop new Concepts For monitoring techniques
  • Use a small team plan implementation of predictive monitoring.
  • Identify 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.
  • Assignment Development Plan:
  • Lean skills in a Manufacturing & Engineering environment.
  • Maintenance Planning Principles and how to apply condition-based monitoring technologies


Work type

Full time

Work mode


Start date

Aug 11, 2024