Intern

Semiconductor Manufacturing

Intern-F10PEECVD/PVD

S$24–36k ~AI est. Singapore, Singapore FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“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.

Semiconductor Manufacturing
Problems you'll solve

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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