NAND Probe Engineering Intern: AI-Driven Yield Analytics

Micron; Singapore; On-site; SGD 20,000 - 26,000; Full time

Job summary

Micron Technology, Inc. in Singapore invites a highly motivated Engineering Intern to work on the AI-Enabled Wafer Probe Test Optimization and Yield Analytics project.

You will study wafer probe test flows, analyze data, and apply AI-driven methods to improve test coverage, efficiency, and yield, collaborating with Design, Test, and Manufacturing teams. The 5-month internship (Jan–May 2027) offers practical exposure to NAND technologies, data visualization, and automation workflows, with

Qualifications

• Strong analytical and communication skills.
• Basic knowledge of semiconductor devices and IC testing.
• Proficiency in Python, SQL, MATLAB and data analysis.
• Familiarity with statistics and machine learning.
• Willingness to learn Generative AI for data exploration and automation.

Responsibilities

• Study wafer probe test flows and yield indicators.
• Analyze probe and wafer datasets to identify patterns and anomalies.
• Apply AI-enabled methods to improve test efficiency and yield.
• Generate technical findings and recommendations for probe strategy.
• Collaborate with cross-functional teams across engineering disciplines.

Skills

Analytical skills

Problem solving

Technical communication

Python

SQL

MATLAB

Statistics

Machine learning

Generative AI

AI workflows

Education

Bachelor's/Master's/PhD in Electrical Engineering or related field

Tools

MATLAB

Python

SQL

Job description

Micron Technology, Inc. in Singapore invites a highly motivated Engineering Intern to work on the AI-Enabled Wafer Probe Test Optimization and Yield Analytics project.

You will study wafer probe test flows, analyze data, and apply AI-driven methods to improve test coverage, efficiency, and yield, collaborating with Design, Test, and Manufacturing teams. The 5-month internship (Jan–May 2027) offers practical exposure to NAND technologies, data visualization, and automation workflows, with