AI-Driven Process Control Engineer (Semiconductor Fab)

Micron Technology, Inc.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Micron Technology, Inc. in Singapore is seeking a Process Control Engineer to design and implement advanced control, automation and analytics solutions to boost manufacturing efficiency, quality and yields in the fab.

You will collaborate with process teams to apply AI/ML techniques to data, develop smart-manufacturing applications, and contribute to continuous improvement while ensuring compliance with standards.

Qualifications

• Bachelor’s or advanced degree in Engineering or Science is required.
• Strong analytical, logical, and critical thinking skills.
• Effective communicator, able to collaborate across all levels.
• Programming knowledge in R/Python is a plus.

Responsibilities

• Collaborate with process teams to develop, implement and improve advanced control solutions for optimum manufacturing performances.
• Create manufacturing and business process automation tools for efficiency improvement.
• Understand and utilize manufacturing process data to apply statistical analysis or machine learning to identify problems and translate it into control/automation solutions.
• Work with a global team to maintain, align and improve process control applications.
• Develop and deliver training on control systems and related topics.
• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment 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

Analytical thinking

Communication

Python/R

Growth mindset

Leadership

AI literacy

Semiconductor knowledge

Collaboration

Education

Bachelor’s or advanced degree in Engineering or Science

Job description

Micron Technology, Inc. in Singapore is seeking a Process Control Engineer to design and implement advanced control, automation and analytics solutions to boost manufacturing efficiency, quality and yields in the fab.

You will collaborate with process teams to apply AI/ML techniques to data, develop smart-manufacturing applications, and contribute to continuous improvement while ensuring compliance with standards.