RDE Intern

Garrett Motion is seeking a motivated college intern to support our Burst and Containment (B&C) project by leveraging AI and Machine Learning techniques. The role involves organizing, cleaning, and structuring historical B&C data (both test and FEA) to enable predictive modeling and intelligent systems. The intern will help build a robust data pipeline and AI-driven tools that improve estimation of design requirements, wheel weakening values, and facilitate continuous improvement through an autonomous AI agent for B&C-related queries.

Key Responsibilities:

• Data Preparation & Management:

  • Collect, organize, and clean historical B&C test and FEA data.

  • Design and implement structured data architecture for ML/AI applications.

  • Ensure data integrity, consistency, and scalability.

• Machine Learning & AI Development:

  • Assist in developing ML models to predict CB wall thickness and wheel weakening values for B&C test.

  • Support integration of AI algorithms for QBS.

  • Collaborate on creating an AI agent for B&C-related queries using existing data.

• System Development & Continuous Improvement:

  • Build a robust system for QBS leveraging AI insights.

  • Identify gaps and propose enhancements in data and model performance.

  • Document processes and maintain version control for datasets and models.

• Collaboration & Reporting:

  • Work closely with simulation engineers and project leads.

  • Prepare progress reports and present findings to the team.

Skills & Competencies

• Technical Skills:

  • Python programming, data cleaning, ML libraries (Pandas, Scikit-learn, TensorFlow/PyTorch).

  • Basic understanding of FEA concepts and mechanical systems.

  • Optional: Exposure to LS-Dyna, ANSYS, FEA tools, and structural mechanics.

• Soft Skills:

  • Analytical thinking and problem-solving.

  • Ability to work independently and in a team.

  • Strong communication and documentation skills.

Learning Outcomes

• Hands-on experience in applying AI/ML to mechanical engineering problems.

• Understanding of data engineering workflows for simulation and test data.

• Exposure to predictive modeling for structural analysis and FEA (ANSYS/LS-Dyna).

• Opportunity to work on cutting-edge AI applications in engineering and FEA Simulation.

Garrett is a cutting-edge technology leader delivering differentiated solutions for emission reduction and energy efficiency. We are passionate about innovating for mobility and beyond. With a nearly 70-year legacy, we serve customer worldwide with passenger vehicle, commercial vehicle, aftermarket replacement, and performance enhancement solutions.