Intern
Semiconductor Manufacturing
Intern-F10PEECVD/PVD
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“Intern - F10 PEE CVD/PVD at Intern. Skills: Data analytics, Process optimization, Equipment optimization. Analyze process data. Analyze equipment data”
What You'll Achieve.
Improved process stability; Improved yield performance; Improved manufacturing quality; Improved manufacturing efficiency
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
Basic understanding of data analysis tools
Nice to Have
Considered for future full-time employment
What You'll Do.
Analyze equipment data
Identify performance gaps
Perform structured analysis
Understand manufacturing workflows
Understand data context
Propose improvement opportunities
Validate improvement opportunities
How You'll Work.
Team & Collaboration
Cross-functional engineering teams
Communication Scope
Presentation skills
Full Job Description
**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **Location:** Fab10 N Singapore **Department:** Advanced Technology Singapore – Process and Equipment Engineering (PEE) **Project Title:** Data‑Driven Process and Equipment Optimization in Semiconductor Manufacturing **Project Description:** This internship provides exposure to data‑driven engineering initiatives within high‑volume semiconductor manufacturing. The project focuses on applying data analytics and engineering methodologies to study process stability, equipment performance, and manufacturing efficiency. Through analysis of large datasets generated from manufacturing tools, the intern will gain insight into real‑world semiconductor manufacturing challenges and improvement opportunities. **Objective of the Project:** The objective of this project is to apply data analytics techniques to identify trends, variability, and performance gaps in process and equipment data, and to generate insights that contribute to improved manufacturing performance. **Opportunities to Be Offered for Full Time Employment:** Interns who demonstrate strong technical capability, learning agility, and alignment with organizational needs may be considered for future full‑time employment opportunities, subject to business requirements and performance. **Project Scope:** * Analyze process and equipment data to identify trends, variability, and performance gaps * Perform structured analysis to understand potential contributors to process or equipment deviations * Work with cross‑functio
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