Staff Engineer - AI-Driven Dry Etch & Analytics

Micron Technology, Inc.; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

Micron Technology, Inc. in Singapore seeks a Manufacturing Analytics Engineer to drive Dry Etch process and equipment performance using advanced data analytics, automation, and AI-enabled solutions.

You will identify opportunities with ML and generative AI to boost productivity and process control, leading cross-functional data initiatives for faster decision-making. The role focuses on developing scalable analytics to enhance tool utilization, cycle time, and manufacturing cost while partnering

Qualifications

• Drive dry etch process and equipment performance through advanced data analytics, automation, and AI-enabled solutions.
• Identify opportunities to leverage machine learning, statistical modeling, and generative AI tools to improve productivity, excursion response, process control, and engineering efficiency.
• Lead cross-functional initiatives that integrate manufacturing, equipment, process, and business data to accelerate decision-making.
• Develop and deploy scalable analytics solutions to improve WPD, tool utilization, cycle time, and manufacturing cost.
• Partner with suppliers and internal digital teams to evaluate and implement next-generation AI technologies for semiconductor manufacturing.

Responsabilités

• Drive Dry Etch process and equipment performance through analytics and automation.
• Lead cross-functional data initiatives to accelerate decisions.
• Develop scalable analytics to improve tool usage and cycle times.

Connaissances

Data analytics

Machine learning

AI-enabled solutions

Automation

Cross-functional collaboration

Description du poste

Micron Technology, Inc. in Singapore seeks a Manufacturing Analytics Engineer to drive Dry Etch process and equipment performance using advanced data analytics, automation, and AI-enabled solutions.

You will identify opportunities with ML and generative AI to boost productivity and process control, leading cross-functional data initiatives for faster decision-making. The role focuses on developing scalable analytics to enhance tool utilization, cycle time, and manufacturing cost while partnering