Schaeffler
Schaeffler
Schaeffler is a global automotive and industrial supplier founded in 1946, known for high-precision components and systems used in mobility and manufacturing. Its work combines engineering, product development, and advanced manufacturing to support automotive, aerospace, and industrial applications, with a focus on innovative and sustainable technologies.

AI R&D Enablement Leadership Program

Join Schaeffler’s two-year leadership program focused on AI for engineering simulations, automation, and production support. Complete four rotations, beginning in Wooster, Ohio, then move into a permanent AI R&D Enablement Engineer position there after successful completion.

Description

  • Complete a two-year development program with four six-month rotations.
  • Start the first rotation in Wooster, Ohio.
  • Work with an experienced professional mentor to build leadership skills and learn best practices.
  • Learn from specialists in relevant and cross-functional teams.
  • Use scripting and AI to improve simulation workflows.
  • Explore custom AI agents and simulation inference by training models with PyTorch and TensorFlow.
  • Help process simulation results and automate reporting.
  • Use AI to strengthen production support and reduce R&D inefficiencies.
  • Take part in training structured around the 70:20:10 model.
  • Meet leadership training and rotation development milestones.
  • Relocate every six months, potentially among North American facilities and for additional international rotations.
  • After successful completion, move into a guaranteed permanent AI R&D Enablement Engineer role in Wooster, Ohio.

Requirements

  • Hold a bachelor’s degree in computer engineering, computer science, or a closely related discipline.
  • Have a GPA of at least 3.0.
  • Bring experience in prompt engineering, AI workflow development, or automation.
  • Show interest in applying AI to R&D enablement and production support.
  • Have completed at least two relevant co-op or internship rotations.
  • Have a strong foundation in machine learning and applying AI in engineering.
  • Have exposure to FEA, CFD, or process simulations using commercial CAD and simulation tools.
  • Demonstrate a solid understanding of engineering principles.
  • Bring strong organizational and communication abilities.
  • Be proficient with Microsoft Office.
  • Be willing to relocate every six months.
  • Experience in a fast-paced setting is preferred.
  • Leadership experience or exposure is preferred.

Benefits

  • 15 vacation days plus wellness days.
  • Medical, dental, and vision insurance.
  • 401(k) matching contributions of up to 6%.
  • Fitness center reimbursement.
  • Tuition reimbursement.
  • Employee appreciation events.
  • Company housing during domestic and international rotations.
  • Leadership development and formal instruction using the 70:20:10 model.
  • Mentoring from an experienced professional leader.
  • A guaranteed permanent position in Wooster, Ohio, after successful program completion.