Modeling Engineer 5 (Thermal, CFD, AI/ML)
Core
Develop physics-based models for Thermal/CFD/Chemistry applications for components in semiconductor capital equipment, utilizing AI/ML concepts and hybrid modeling to correlate simulation and experimental data.
Role type
Senior IC modeling engineer (thermal, CFD, AI/ML)
Builds
Physics-based models and hybrid AI/ML models for semiconductor etch and deposition products
Domain
Semiconductor equipment / Computational Fluid Dynamics / Machine Learning
Deliverable
production ML models
Required skills
Computational Fluid Dynamics, Heat transfer, Chemistry, AI/ML concepts, Hybrid physics-based AI/ML modeling, Uncertainty quantification, Bayesian optimization, Probabilistic machine learning, DOE, Optimization, Statistical methods, Multi-scale modeling, Python coding
Preferred skills
Semiconductor metrology methods, Vacuum environment hardware design, TensorFlow, PyTorch, Scikit Learn, Deep learning
Technologies
ANSYS Fluent, Star CCM+, COMSOL, TensorFlow, PyTorch, Scikit Learn
Responsibilities
Develop physics-based models for Thermal/CFD/Chemistry applications; Utilize DOE, Optimization, and statistical methods to correlate simulation data to experimental data; Predict, measure, and analyze experimental data for uncertainty Quantification & propagation; Provide design improvements of in-service tools based upon quantitative field measured failure data; Work directly with mechanical, electrical, process and software engineers to define design requirements; Provide written reports and oral presentation of results to design teams and management.
Seniority
Senior, hands-on IC