PDE Industrial Engineer: AI-Driven Capacity & Efficiency

Micron Technology; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Micron Technology seeks an Industrial Engineer to develop and coordinate cross-functional efforts for effective capacity modeling, supporting business objectives across PDE. The role emphasizes EPT topics, automation opportunities, and AI-enabled approaches to boost efficiency and productivity.

Applicants should hold a relevant bachelor’s degree and bring data analysis, strong communication, and the ability to translate insights into decisions.

Qualifications

• Bachelor’s degree in Engineering, Mathematics, Statistics, Data Science or Computer Science.
• Good data compilation, statistical analysis and reporting skills are a plus.
• Strong verbal communication and presentation skills.
• Ability to map relevant conclusions to support decisions making.
• Baseline digital fluency and AI literacy to use AI-enabled tools responsibly.

Responsibilities

• Responsible for EPT related topic, Consolidate & align MOR/UPH/EPT improvement across Micron Site and Central Team
• Engage with manufacturing sites, and Central Teams to provide technical direction and maintain alignment for Engineering Tool time and space related between manufacturing site and Technology Development
• Drive Capex Saving Project within PDE and sites to meet FY target
• Explore, study and recommend for system automation opportunity to improve efficiency and productivity
• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgement and complying with organizational standards and legal requirements.
• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

Skills

Data analysis

Communication

Decision making

AI literacy

Education

Bachelor's degree in Engineering/Math/Stats/Data Science/CS

Job description

Micron Technology seeks an Industrial Engineer to develop and coordinate cross-functional efforts for effective capacity modeling, supporting business objectives across PDE. The role emphasizes EPT topics, automation opportunities, and AI-enabled approaches to boost efficiency and productivity.

Applicants should hold a relevant bachelor’s degree and bring data analysis, strong communication, and the ability to translate insights into decisions.