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Accelerated Leadership Program – Research & Development, AI R&D Enablement
Schaeffler. Complete a two-year high-potential development experience comprising four six-month rotations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI workflow development and machine learning, with a strong foundation in engineering principles. Capable of applying AI methods to enhance production support and optimize simulation processes.
Highest-signal resume keywords
AI Workflow DevelopmentMachine LearningPrompt EngineeringFEA/CFD/Process SimulationsBachelor’s Degree in Computer Engineering or Computer Science
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningAI Workflow DevelopmentPrompt EngineeringSimulation OptimizationModel TrainingPost-Processing AutomationEngineering PrinciplesProduction SupportScriptingReport Automation
Soft Skills
Excellent OrganizationCommunication SkillsLeadership Experience
Tools & Technologies
PyTorchTensorFlowMicrosoft OfficeCommercial CAD Tools
Industry Keywords
R&D EnablementSimulation WorkflowFast-Paced EnvironmentCo-opsInternships
Tech Stack
Tools & technologiesPyTorchTensorflow
About the role
Key responsibilities & impact- Complete a two-year high-potential development experience comprising four six-month rotations
- Begin the first rotation in Wooster, Ohio
- Partner with an experienced professional leader mentor to develop best practices and leadership skills
- Gain knowledge alongside experts in relevant and cross-functional departments
- Support simulation workflow optimization through scripting and AI
- Investigate custom AI agents and simulation inferencing through model training using PyTorch and TensorFlow
- Assist with post-processing results for report automation
- Apply AI methods to improve production support and reduce R&D inefficiencies
- Participate in training based on the 70:20:10 model
- Complete leadership training and rotation development milestones
- Relocate every six months, potentially throughout facilities in the North American Region and for additional international rotations
- Transition into a guaranteed permanent Engineer for AI R&D Enablement position in Wooster, Ohio upon successful program completion
Requirements
What you’ll need- Bachelor’s degree in Computer Engineering, Computer Science, or a closely related field
- Minimum 3.0 GPA
- Experience with prompt engineering, AI workflow development, or automation
- Interest in applying AI to R&D enablement and production support
- At least two rotations of relevant co-ops or internships
- Strong background in machine learning and the utilization of AI in engineering
- Exposure to FEA/CFD/process simulations with commercial CAD and simulation tools
- Strong understanding of engineering principles
- Excellent organization and communication skills
- Strong Microsoft Office skills
- Willingness to relocate every six months
- Experience in a fast-paced environment preferred
- Leadership experience or exposure preferred
Benefits
Comp & perks- 15 Days' Vacation, plus Wellness days
- Medical, Dental, Vision Insurance
- 401K Match Up To 6%
- Fitness Center Reimbursement
- Tuition Reimbursement
- Employee Appreciation Events
- Company Housing during domestic and international rotations
- Leadership training and formal training through the 70:20:10 model
- Mentorship from an experienced professional leader
- Guaranteed permanent position in Wooster, Ohio upon successful completion of the program