Semiconductor Process Intern: Thermal Optimization & AI

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 20,000 - 29,000; Full time

Job summary

Micron Technology, Inc. invites a motivated bachelor’s or master’s student in chemical engineering, materials science, mechanical or electrical engineering, or physics to join our Process Engineering team.

The intern will conduct a structured project on wafer thermal management and plasma strip optimization, including DOE, data analysis, and AI-enabled workflows to drive process robustness and yield improvements.

Qualifications

• Strong analytical, experimental, and problem-solving skills.
• Familiarity with statistical analysis, Design of Experiments, data visualization, or process modelling.
• Experience with Microsoft Excel; exposure to Python, JMP, Minitab, Power BI, or similar analytical tools is advantageous.
• Interest in semiconductor manufacturing, Machine Learning, Generative AI, and AI-Enabled data-analysis workflows.
• Ability to communicate technical findings clearly and collaborate with engineering professionals.

Responsibilities

• Plan and conduct experiments to investigate the impact of chuck temperature on wafer thermal behaviour, film properties, and process performance.
• Develop and complete Design of Experiments studies to identify significant process-temperature relationships.
• Analyze experimental and manufacturing data using statistical techniques, process modelling, visualization, and AI-enabled workflows.
• Develop data-based optimization recommendations that may improve process robustness, yield, productivity, or cost performance.

Skills

Analytical skills

Statistical analysis

Design of Experiments

Data visualization

Excel

Python

Power BI

JMP

Minitab

Education

Bachelor’s or Master’s degree in Chemical Engineering / Materials Science / Mechanical Engineering / Electrical Engineering / Physics

Tools

Python

Power BI

JMP

Minitab

Job description

Micron Technology, Inc. invites a motivated bachelor’s or master’s student in chemical engineering, materials science, mechanical or electrical engineering, or physics to join our Process Engineering team.

The intern will conduct a structured project on wafer thermal management and plasma strip optimization, including DOE, data analysis, and AI-enabled workflows to drive process robustness and yield improvements.