Intern: Test Equipment Engineer – AI Analytics & Automation

Micron; Singapore; On-site; SGD 13,000 - 19,000; Full time

Benefits offered by this job

Opportunity for full-time employment

Hands-on project experience

Job summary

Micron Singapore invites a motivated student to join our Backend Department as a full-time internship in Test Engineering. You will work on the Machine Availability and Parts per Jam Improvement project, applying predictive analytics, data automation, and Agentic AI to improve burn-in equipment performance.

Under guidance from engineers, you will analyze alarm logs, develop automated notifications and visualizations in Power BI, and evaluate AI-enabled workflows.

Qualifications

• Pursuing a degree in Electrical and Electronic Engineering, Computer Engineering, Data Science, Mechatronics Engineering, or related technical field.
• Familiarity with Python, SQL, Power BI, and 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

• Improve burn-in equipment performance using predictive analytics, data automation, and Agentic AI.
• Analyze equipment alarm logs, downtime patterns, and develop data-driven solutions.
• Develop automated notification and visualization workflows.
• Evaluate feasibility of socket-masking automation and Agentic AI solutions.

Skills

Python

SQL

Power BI

Power Automate

Statistics

Predictive analytics

Data visualization

Generative AI

Microsoft Copilot

Agentic AI

Analytical skills

Communication skills

Education

Electrical and Electronic Engineering

Computer Engineering

Data Science

Mechatronics Engineering

Tools

Power BI

Power Automate

Job description

Micron Singapore invites a motivated student to join our Backend Department as a full-time internship in Test Engineering. You will work on the Machine Availability and Parts per Jam Improvement project, applying predictive analytics, data automation, and Agentic AI to improve burn-in equipment performance.

Under guidance from engineers, you will analyze alarm logs, develop automated notifications and visualizations in Power BI, and evaluate AI-enabled workflows.