Contamination Control Engineer – AI & Data-Driven Mfg

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks a process/engineering professional to lead contamination control and data-driven improvements in high-volume manufacturing. Responsibilities include defining strategies, collaborating across functions, and applying AI tools for operational outcomes.

The role requires a degree with 2+ years in process integration or equipment engineering, plus strong analytical and cross-functional collaboration skills. On-site role in Singapore.

Qualifications

• Bachelor/Master’s degree with at least 2 years in Process Integration/Engineering.
• Strong data analytics with Python, SQL, and data visualization (Tableau).
• Experience with AI tools or AI solutions is a plus.
• Excellent communication and cross-functional collaboration.
• Ability to work independently and in a team.
• Semiconductor experience in FOUP/contamination control/yield improvement.
• Experience with CPIE/AMHS cross-functional collaboration.
• CFD simulation experience is a plus.

Responsibilities

• Direct process contamination control and environmental regulation to minimize contamination risk.
• Develop end-to-end contamination control strategies across FOUP/FOSB and fab environments.
• Drive data-driven solutions to improve process quality, stability, and yield.
• Collaborate with process integration, equipment, AMHS, and global groups for ramp and readiness.
• Define contamination control standards, procedures, and guidelines across facilities.
• Support investigations and corrective/preventive actions across fabs.
• Apply digital fluency and AI tools responsibly for research and operations.

Skills

Python

SQL

Tableau

AI tools

CFD simulation

Data analytics

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in a relevant field

Tools

Tableau

CFD simulation software

Job description

Micron Technology, Inc. in Singapore seeks a process/engineering professional to lead contamination control and data-driven improvements in high-volume manufacturing. Responsibilities include defining strategies, collaborating across functions, and applying AI tools for operational outcomes.

The role requires a degree with 2+ years in process integration or equipment engineering, plus strong analytical and cross-functional collaboration skills. On-site role in Singapore.