Engineer, Process and Equipment Engineering

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

Job summary

Micron is seeking a skilled engineer in Singapore to identify, diagnose, and resolve process and equipment challenges across advanced semiconductor manufacturing. You will lead optimization initiatives, qualify new equipment for emerging technologies, and drive yield improvements while collaborating with cross-functional teams.

The role requires strong SPC/DOE/RCA knowledge, data-driven problem solving, and experience with MES systems.

Qualifications

• Bachelor's or advanced degree in Engineering or Science is required
• Strong analytical, logical, and critical thinking skills
• Growth mindset with a passion for continuous learning
• Internship or experience in the semiconductor industry is a plus
• Demonstrated leadership and a track record of impact are highly desirable
• Interest in and knowledge of the semiconductor industry and Micron is preferred
• Knowledge of Statistical Process Control (SPC), Design of Experiment, Engineering Statistical data analysis would be advantageous.

Responsibilities

• Identify, diagnose and resolve process and equipment related problems
• Coordinate and execute process, equipment and material evaluation / optimization initiatives and implement changes at process step
• Lead / Support the New Equipment Qualification to support new technology development and production ramp
• Lead / participate in continuous yield improvement and cost reduction activities
• Validate and fan out new process baseline qualified, including new process, tools and/or materials for new product introduction
• Support SPC/FDC/RMS/APC
• Manage / audit material suppliers to achieve quality, cost and risk management objectives
• Support internal and external audits
• Defines processing or handling equipment requirements and specifications, and reviews processing techniques and methods applied in the manufacture, fabrication, and evaluation of products. Involvement may begin at any step from pilot plant to full-scale manufacturing. Participate in design requirement review with cross-functional teams to ensure compatibility with processing methods. Compiles and evaluates test data to determine appropriate limits and variables for process or material specifications.
• 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

SPC knowledge

DOE

Root cause analysis

AI literacy

Data-driven mindset

Cross-functional collaboration

Education

Bachelor's or advanced degree in Engineering or Science

Tools

MES

Automation tools

Job description

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

About Micron

Micron is a global leader in memory and storage solutions, enabling transformative technology that enriches life for all. With over 40 years of innovation, Micron plays a pivotal role in the data-driven economy, where memory and storage are strategic differentiators. We are committed to sustainability, employee well-being, and community support, and we foster a culture of inclusion, collaboration, and continuous improvement.

Job Summary

Main Responsibilities:

• Identify, diagnose and resolve process and equipment related problems


• Coordinate and execute process, equipment and material evaluation / optimization initiatives and implement changes at process step


• Lead / Support the New Equipment Qualification to support new technology development and production ramp.


• Lead / participate in continuous yield improvement and cost reduction activities


• Validate and fan out new process baseline qualified, including new process, tools and/or materials for new product introduction


• Support SPC/FDC/RMS/APC


• Manage / audit material suppliers to achieve quality, cost and risk management objectives


• Support internal and external audits


• Defines processing or handling equipment requirements and specifications, and reviews processing techniques and methods applied in the manufacture, fabrication, and evaluation of products. Involvement may begin at any step from pilot plant to full-scale manufacturing. Participate in design requirement review with cross-functional teams to ensure compatibility with processing methods. Compiles and evaluates test data to determine appropriate limits and variables for process or material specifications.


• 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.

Data Management and Analysis

• Manage and maintain MES-related databases, ensuring data accuracy and integrity


• Analyze system data to identify trends, issues, and opportunities for improvement

Preferred Technical Skills

• Knowledge of statistical process control (SPC), design of experiments (DOE), and root cause analysis (RCA)


• Knowledge Failure mode and effects analysis (FMEA), and root cause analysis (RCA)


• Knowledge of AI tools and application

Must Have Soft Skills

• Strong analytical and problem-solving skills with a data-driven mindset


• Effective communication skills for cross-functional collaboration with engineering, operations, and quality teams


• Ability to work independently and manage multiple priorities in a fast-paced environment


• Adaptability and resilience in a dynamic manufacturing setting

Preferred skills or experience

• Experience in or knowledge on semiconductor manufacturing process and technologies


• Familiarity with MES (Manufacturing Execution Systems) and automation tools


• Lean Six Sigma certification (Green Belt or higher)

Job Requirements, Qualifications/Experience:

• 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


• Growth mindset with a passion for continuous learning


• Internship or experience in the semiconductor industry is a plus


• Demonstrated leadership and a track record of impact are highly desirable


• Interest in and knowledge of the semiconductor industry and Micron is preferred


• Knowledge of Statistical Process Control (SPC), Design of Experiment, Engineering Statistical data analysis would be advantageous.


• Ability to apply baseline digital fluency and role - appropriate AI literacy to use AI - enabled tools responsibly and effectively for research, analysis, content creation, problem - solving, operational tasks, and achieving business outcomes.


• Embody Micron's core values: People - Respect, develop, and empower others


• Innovation - Drive continuous improvement and breakthrough thinking


• Tenacity - Show grit and determination


• Collaboration - Build trust and foster teamwork


• Customer Focus - Deliver excellence and value

Embody Micron's core values:

• People - Respect, develop, and empower others


• Innovation - Drive continuous improvement and breakthrough thinking


• Tenacity - Show grit and determination


• Collaboration - Build trust and foster teamwork


• Customer Focus - Deliver excellence and value

What to Expect

Micron is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any