Roles and Responsibilities
- MDO Strategy & Leadership: Lead and define Multi-Disciplinary Optimization (MDO) strategies across vehicle development programs, integrating multiple CAE domains including Durability, NVH, Crash/Safety, and CFD to deliver balanced, mass-productive, and performance-optimized designs
- Optimization Framework Development: Architect, build, and manage robust optimization workflows and automation pipelines using tools such as modeFRONTIER, Isight, HEEDS, Optimus, or equivalent MDO platforms. Ensure seamless integration of solver runs, DOE studies, and response surface models within the workflow
- Design of Experiments (DOE): Independently plan and execute DOE studies (Full Factorial, Latin Hypercube Sampling, Taguchi, Central Composite Design, etc.) to efficiently explore design spaces across multiple disciplines simultaneously. Interpret results to identify critical design variables and their sensitivities
- Surrogate Modeling & Metamodeling: Develop and validate high-fidelity surrogate models / Response Surface Models (RSM) using techniques such as:
Radial Basis Functions (RBF), Kriging / Gaussian Process Models, Polynomial Response Surfaces, Neural Network-based metamodels
- Apply surrogate models to reduce computational cost while maintaining accuracy in multi-disciplinary optimization studies
- Multi-Objective Optimization Execution: Formulate and solve complex multi-objective optimization problems involving conflicting performance targets across disciplines. Generate and interpret Pareto Front solutions; facilitate engineering trade-off decisions with program and design teams
- Topology & Shape Optimization: Lead component and system-level topology optimization studies (density-based SIMP method) using tools like OptiStruct, TOSCA, or equivalent. Translate concept results into manufacturable design proposals in collaboration with product design teams
- Parametric & Morphing Studies: Build parametric models and utilize mesh morphing tech