Test Equipment Analytics Intern - Predictive AI

Micron Technology, Inc

Singapore

On-site

SGD 18,000 - 25,000

Full time

8 days ago

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Job summary

Micron Singapore invites a highly motivated student to join the Test Engineering team on a 6-month full-time internship focusing on machine availability and Parts per Jam improvements through predictive analytics. You will analyze burn-in equipment data, automate alarms, and explore AI-enabled workflows under engineer guidance.

Gain hands-on experience with Python, SQL, Power BI, and Power Automate while contributing to data-driven solutions and performance monitoring for semiconductor test

Qualifications

Familiarity with Python, Structured Query Language, Microsoft Power BI, or Microsoft Power Automate.
Basic knowledge of statistics, predictive analytics, and data visualization.
Familiarity with Generative AI, Microsoft Copilot, Agentic AI, or AI-Enabled workflows.
Strong analytical, systems-thinking, problem-solving, and communication skills.
Ability to learn quickly, investigate technical issues, and communicate findings clearly.

Responsibilities

Undertake an engineering project to improve burn-in equipment performance.
Analyze alarm logs, downtime patterns, and develop data-driven solutions.
Develop trigger logic and automated notifications.
Evaluate Agentic AI solutions for monitoring and alarm analysis.

Skills

Python

SQL

Power BI

Power Automate

Education

Electrical and Electronic Engineering

Computer Engineering

Data Science

Mechatronics Engineering

Job description

Gain hands-on experience with Python, SQL, Power BI, and Power Automate while contributing to data-driven solutions and performance monitoring for semiconductor test

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