Intern - F10 ADTS ATE Dry Etch

About the Company

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about using their expertise in the relentless pursuit of innovation for customers and partners. Our solutions help make everything from virtual reality experiences to breakthroughs in neural networks possible. We are committed to integrity, sustainability, and giving back to our communities, because these commitments fuel the innovation we pursue.

Internship Details

Location: Singapore

Department: Advanced Device Technology and Systems, Advanced Technology Enablement Dry Etch, F10

Project Title: Dry Etch Process Performance Optimization Using Data Analytics and Artificial Intelligence

Project Description

Dry etch is a critical semiconductor manufacturing process that significantly impacts product yield, cycle time, and manufacturing capacity. This internship focuses on applying process engineering, data analytics, and artificial intelligence-enabled methods to understand process behavior, identify performance gaps, and develop improvement recommendations.

The intern will work with manufacturing, equipment, and process datasets to explore opportunities related to process stability, productivity, and yield. The project provides practical exposure to dry etch process engineering, industrial data analytics, data visualization, and artificial intelligence applications.

Project Objectives

• Analyze dry etch process and equipment performance using manufacturing data.
• Identify sources of process variation, performance drift, productivity loss, and yield impact.
• Develop data-driven recommendations to improve process stability and equipment performance.
• Explore artificial intelligence-enabled approaches for faster pattern identification and engineering insight generation.

Project Scope

• Analyze statistical process control, equipment performance, utilization, and fault data to identify trends and performance gaps.
• Evaluate potential process, recipe, hardware, or control improvements using data-driven methodologies.
• Correlate process, inline measurement, metrology, and equipment data where applicable.
• Develop dashboards or scripts for data visualization, monitoring, and artificial intelligence-enabled insight generation.

Learning Opportunities

• Gain practical exposure to dry etch processes and semiconductor manufacturing systems.
• Develop experience in process characterization, statistical analysis, and manufacturing data interpretation.
• Learn to use Python, Structured Query Language, JMP, Excel, or visualization tools for engineering analysis.
• Explore the application of artificial intelligence and AI assistants for pattern recognition, data summarization, and engineering productivity.
• Collaborate with process and equipment engineers to translate analytical findings into improvement recommendations.

Deliverables

• Data-driven analysis of key dry etch process and equipment performance metrics.
• Clearly defined performance gaps supported by relevant data and evidence.
• Recommendations for process, equipment, or monitoring improvements.
• Final presentation and project documentation summarizing the methodology, findings, and recommendations.

Project Impact

• Improve understanding of dry etch process stability and productivity.
• Enable faster identification of process and equipment performance gaps.
• Enhance data-driven decision-making within F10 Dry Etch operations.

Required Skills

• Strong analytical thinking and structured problem-solving skills.
• Interest in semiconductor manufacturing, dry etch technology, or process engineering.
• Basic experience with Python, Structured Query Language, JMP, Excel, or similar data-analysis tools.
• Familiarity with statistical analysis and data visualization concepts.
• Willingness to learn and apply artificial intelligence, AI assistants, or other AI-enabled workflows to engineering analysis.

Preferred Field of Study

The ideal candidate should be pursuing a degree in Chemical Engineering, Electrical Engineering, Mechanical Engineering, Materials Engineering, Data Engineering, Computer Engineering, or a related field.

Internship Duration

The ideal candidate should be able to commit to a full-time internship of at least five months.

Full-Time Employment Opportunities

High-performing interns who demonstrate strong technical capability, learning agility, and successful project outcomes may be considered for future internship or full-time employment opportunities, subject to business needs and hiring requirements.

About Micron Technology, Inc.

Micron is an industry leader in innovative memory and storage solutions that transform how the world uses information to enrich life for all. With a relentless focus on customers, technology leadership, and manufacturing and operational excellence, Micron delivers a portfolio of high-performance DRAM, NAND, and NOR memory and storage products through its Micron® and Crucial® brands.

Every day, Micron's innovations 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 client and mobile user experiences.

To learn more, visit micron.com/careers.