Intern Test Equipment Engineer: Predictive Analytics & AI

Micron Technology, Inc; Singapore; On-site; SGD 20,000 - 31,000; Full time

Job summary

Micron Singapore is offering a full‑time internship in Test Engineering to improve burn‑in equipment performance using predictive analytics and automation. You will analyze alarm logs, identify downtime patterns, and build data-driven solutions under engineer guidance.

The program emphasizes Python, SQL, Power BI, and automation tools, with exposure to Generative AI and Agentic AI. Applicants should pursue EE, CS, or Data Science degrees and commit to at least 6 months starting Jan 2027.

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

• Learn alarm structures and performance indicators of selected burn-in equipment.
• Collect, clean, structure, and validate equipment alarm-log data.
• Develop trigger logic and automated notifications for selected JTS equipment alarms.
• Apply statistical and predictive methods to identify factors affecting availability and downtime.
• Evaluate socket-masking automation and Agentic AI feasibility.

Skills

Python

SQL

Power BI

Power Automate

Generative AI

Education

Electrical & Electronic Engineering

Computer Engineering

Data Science

Mechatronics Engineering

Tools

Microsoft Copilot

Agentic AI

Job description

Micron Singapore is offering a full‑time internship in Test Engineering to improve burn‑in equipment performance using predictive analytics and automation. You will analyze alarm logs, identify downtime patterns, and build data-driven solutions under engineer guidance.

The program emphasizes Python, SQL, Power BI, and automation tools, with exposure to Generative AI and Agentic AI. Applicants should pursue EE, CS, or Data Science degrees and commit to at least 6 months starting Jan 2027.