Intern - F10 Process Integration Analytics

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Micron Singapore invites applications for an internship in Process Integration Engineering focused on AI-enabled inline health monitoring and drift detection. You will extract and organize metrics, build dashboards, and explore AI tools for process optimization under mentorship.

The project includes data analysis, visualization development, and an AI agent PoC to support automation and productivity in semiconductor manufacturing.

Qualifications

• Strong data-analysis capabilities including statistics and visualization.
• Familiarity with programming, data analytics, dashboard development, or automation tools is advantageous.
• Good communication and cross-functional collaboration skills.
• Interest in semiconductor manufacturing, Process Integration, and process control.
• Familiarity with AI tools, AI assistants, Agentic AI, or AI-enabled workflows is advantageous.

Responsibilities

• Extract, organize, and validate inline metrics for process-health monitoring.
• Develop an AI-enabled dashboard for inline monitoring and drift detection.
• Explore AI tools for drift detection and process-window optimization.
• Develop an AI agent PoC for selected Process Integration activities.

Skills

Data analysis

Dashboard development

Programming

Statistics

Cross-functional collaboration

Education

Engineering, Statistics, Mathematics, Computer Science (pursuing)

Tools

AI tools

Data visualization tools

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

Micron Singapore, Fab 10N (1 North Coast Drive, Singapore 757432)

Department

Process Integration Engineering

Project Title

AI-Enabled Inline Health Monitoring and Process Drift Detection

Project Description

This internship project focuses on developing and enhancing an inline health-monitoring system for Process Integration. Through close mentorship and hands‑on learning, the intern will extract and organize relevant inline metrics, targets, and specifications, and develop visualizations for process‑health monitoring.

The intern will gain exposure to semiconductor Process Integration by analyzing process data and exploring Micron‑qualified Artificial Intelligence tools. The project will also evaluate opportunities to automate selected parts of the inline monitoring workflow, improve drift detection, and enhance engineering
productivity.

Objective of the Project

• Develop an AI-Enabled inline health-monitoring and process drift-detection solution.

• Improve the visualization of inline metrics, targets, specifications, and process‑health trends.

• Explore Artificial Intelligence applications for process-window optimization and engineering workflow automation.

• Establish a reusable solution that can be further developed after the internship.
  

Opportunities for Full Time Employment

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.

Project Scope

• Extract, organize, and validate inline metrics used for process-health monitoring.

• Develop an AI-Enabled dashboard for inline monitoring, visualization, and process drift detection.

• Explore Micron-qualified Artificial Intelligence tools for drift detection and process-window optimization.

• Develop an AI Agent proof of concept for selected Process Integration activities, such as data collection, lot funding, and experiment-summary generation.
  

Learning Opportunities

• Gain practical exposure to semiconductor Process Integration and inline process control.

• Develop skills in data extraction, statistical analysis, visualization, and process drift detection.

• Learn how process metrics, targets, and specifications are used to evaluate manufacturing health.

• Explore Artificial Intelligence, AI Assistants, and Agentic AI solutions for engineering productivity and process optimization.

• Collaborate with experienced engineers and learn structured approaches to process monitoring and excursion response.
  

Deliverables

• An enhanced inline health-monitoring solution with data extraction, visualization, and alerting capabilities.

• A proof‑of‑concept Artificial Intelligence integration for automated inline monitoring or process optimization.

• An AI Agent prototype for selected Process Integration workflow activities.

• A handover package containing relevant documentation, findings, and recommendations for continued development or expansion.
  

Impact of the Project

• Improve visibility into inline process health and potential performance drift.

• Enable faster identification of process deviations and excursion risks.

• Enhance engineering productivity through AI-Enabled analysis and workflow automation.

• Provide the intern with real‑world exposure to semiconductor Process Integration and data‑driven process control.
  

Skillsets Required

• Strong problem-solving mindset with data-analysis capabilities, including statistics, visualization, and large dataset interpretation.

• Familiarity with programming, data analytics, dashboard development, or automation tools is advantageous.

• Good communication and cross‑functional collaboration skills.

• Interest in semiconductor manufacturing, Process Integration, and process control.

• Familiarity with Artificial Intelligence tools, AI Assistants, Agentic AI, or AI-Enabled workflows is advantageous.
  

Course of Interest

The ideal candidate should be pursuing a Degree in Engineering, Statistics, Mathematics, Computer Science, Materials Science, Physics, or a related field.

Duration of Period

The ideal candidate should be able to commit to a full time internship period of at least 5 months, from January 2027 to June 2027.

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.

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.