About the role
Intern - AI‑Driven Process Development Deposition & Ion implantation role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
IDMOnsiteSTPG
Key Responsibilities
- 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.
- 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.
- Key Responsibilities AI & Data Analytics for Process Development 1.
- 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 sensitivities.
- Apply machine learning models (regression, classification, clustering, time‑series) to support: Process window optimization, Variability reduction and excursion detection and Predictive learning for film properties and implant behavior 3.
Requirements
- Coursework or experience in semiconductor processing , especially: Thin‑film deposition (CVD, ALD, PVD)
- Ion implantation Metrology and device fabrication Familiarity with machine learning applied to real‑world datasets.
- Experience with data visualization tools (Tableau, Power BI, Streamlit, or similar).
- Exposure to DOE, SPC, or manufacturing data analysis is a strong plus.
- Experience with cloud or big‑data platforms (Azure, AWS, GCP, Spark) is a bonus.
- About Micron Technology, Inc.