Summer 2027 - Process Simulation Engineering Intern - MS/PhD
Core
Build physics-based models and fast machine-learning surrogate versions of plasma etch processes to connect tool settings to predicted feature profiles.
Role type
Process Simulation Engineering Intern (MS/PhD)
Builds
Virtual twins of plasma etch processes for Lam's etch products
Domain
Semiconductor manufacturing / Plasma etching / Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch (or JAX/TensorFlow), reaction kinetics, transport phenomena, surface/plasma science, machine learning model building, regression modeling
Preferred skills
plasma physics, surrogate modeling (Gaussian processes, neural networks, polynomial chaos), uncertainty quantification, design of experiments, physics-based simulation tools (finite element, Monte Carlo)
Responsibilities
Build and refine models of plasma etching (ion/neutral interactions, sticking probabilities, redeposition), calibrate model parameters against measured profiles, design simulation experiments, build and validate fast surrogate models, use surrogates to optimize process conditions, write Python tools to automate simulation runs and data processing
Seniority
Intern (MS/PhD student)