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Role Overview
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.
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.
2. 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. Develop physics‑informed features (dose, pressure, temperature, power, gas flow, energy, tilt, etc.) relevant to CVD / ALD / PVD / ion implant processes.
Statistical Modeling & Anomaly Detection
1. Conduct statistical analysis including regression, hypothesis testing, multivariate analysis, and DOE interpretation.
2. Apply anomaly and drift detection techniques to identify tool‑to‑tool differences, chamber aging effects, and early signals of process instability.
3. Support FOAK / learning line data analysis and rapid feedback during early process bring‑up.
Visualization & Communication
1. Create clear visualizations, dashboards, and summaries to communicate insights to: Process engineers, Integration partners and 3. Technical leadership
2. Translate complex AI outputs into explainable narratives, including feature importance, root‑cause hypotheses, and process recommendations.
Collaboration & Project Delivery
1. Collaborate with process engineering, equipment, integration, and data science teams to scope impactful intern projects.
2. Develop clean, reusable data pipelines for data extraction, cleaning, and feature engineering.
3. Deliver a complete intern project package, including:
Code / notebooks, Documentation, Presentation‑ready technical summary with clear impact to process development
Education & Qualifications
Required
Currently pursuing a Bachelor’s, Master’s, or PhD in:
- Materials Science & Engineering
- Electrical or Chemical Engineering
- Physics
- Data Science / Computer Science
- Statistics, Applied Mathematics, AI
Strong Python proficiency for data analysis (NumPy, Pandas, SciPy, scikit‑learn, etc.).
Solid understanding of statistics and data analysis fundamentals.
Preferred
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.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
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