As an AI‑Driven Process Development Intern, you will apply data analytics, machine learning, and statistical methods to accelerate thin‑film deposition and ion implantation process development for advanced semiconductor technologies.

This role bridges process engineering and AI, focusing on extracting physics‑aware insights from process, inline, electrical, and metrology data to improve process optimization, variability control, and manufacturability for CVD, ALD, PVD metals and ion implant modules.

You will work closely with process development engineers to translate data‑driven findings into actionable process knobs, learning experiments, and risk mitigation strategies across the technology development lifecycle.

• Perform exploratory data analysis (EDA) on large‑scale process, tool, inline, metrology (XRR, XRD, CD, thickness, Rs), and electrical datasets to identify trends, correlations, and process se...