Intern - MFG WET (Semiconductor Manufacturing)

About the role

Micron is offering an internship in its Manufacturing Wet Process Engineering (MFG WET) team in Singapore, under the project "AI-Enabled Germhold Reduction for Dry Strip Workstation". The project uses data analytics, machine learning and AI-enabled methods to understand and reduce equipment germholds in the Dry Strip workstation of a semiconductor manufacturing environment. The intern works with operational datasets, engineering teams and manufacturing equipment.

Key responsibilities

• Analyze manufacturing and equipment datasets to identify germhold patterns, trends and potential root causes.
• Apply statistical analysis, machine learning models and data visualization to evaluate germhold occurrences and impacts.
• Collaborate with Process Engineers and Equipment Engineers to validate findings and assess improvement opportunities.
• Develop dashboards or reporting tools to monitor germhold trends and track improvements.
• Evaluate the use of Generative AI, AI Assistants or Agentic AI for automated insight generation and engineering reporting.
• Deliver a comprehensive analysis of germhold contributors, an AI or machine learning assessment of reduction opportunities, a dashboard or reporting solution, and a final presentation of methodology, findings and recommendations.

Required profile

• Pursuing a degree in Electrical, Mechanical, Chemical, Industrial, Data Science, Computer Science, Manufacturing Engineering or a related field.
• Able to commit to a full-time internship of at least 5 months from January to May 2027.
• Strong analytical thinking, problem-solving and communication skills, with effective presentation of insights.

Required skills

• Experience with Python, R, SQL, Power BI or other data analytics and visualization tools.
• Familiarity with statistical analysis, data modeling and machine learning concepts.
• Knowledge of AI, Generative AI, AI Assistants or AI-enabled workflows is advantageous.

Interns showing strong technical aptitude, learning agility and successful project outcomes may be considered for future internship or full-time opportunities. The internship is based in Singapore.