Intern, Test Engineering: AI-Driven Hardware & Data Projects

Micron Technology, Inc; Singapore; On-site; SGD 11,160 - 22,320; Full time

Job summary

Micron Technology, Inc. is seeking an Intern for Test Engineering in Singapore. The role focuses on understanding variability sources, data analysis and AI-driven predictive maintenance to improve equipment availability in a high-volume manufacturing setting.

The project covers hardware testing, datamation tooling, and development of predictive solutions with data modeling, visualizations and reporting. Candidates should be pursuing Mechanical, Electrical, Electronics or Mechatronics Engineering

Qualifications

• Exposure / Training to Equipment hardware, physical automation & datamation tools
• Hands on experience in dynamic high volume manufacturing environment
• Training & opportunity to develop datamation solution including data modeling, data visualizations
• Exposure to tool maintenance & ownership including Preventive Maintenance & Predictive Maintenance
• Hands on experience in team work, project management & problem solving
• Deliverables include proposals on predictive and AI techniques for machine repairs and automated reports using Data Modeling and Visualization

Responsibilities

• Provide proposals on predictive and AI techniques for machine repairs
• Develop automated reports using data modeling and visualization
• Support tool maintenance and preventive/predictive maintenance activities
• Collaborate in a high-volume manufacturing environment
• Apply problem-solving and data analysis to improve test engineering processes

Skills

Problem Solving

Data Analysis

Basic Statistics

Project Management

Datamation

Education

Mechanical, Electrical, Electronics or Mechatronics Engineering

Tools

Tableau

Python

SQL

Power BI

Job description

Micron Technology, Inc. is seeking an Intern for Test Engineering in Singapore. The role focuses on understanding variability sources, data analysis and AI-driven predictive maintenance to improve equipment availability in a high-volume manufacturing setting.

The project covers hardware testing, datamation tooling, and development of predictive solutions with data modeling, visualizations and reporting. Candidates should be pursuing Mechanical, Electrical, Electronics or Mechatronics Engineering