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A leading semiconductor manufacturing company based in Singapore seeks a skilled professional to resolve equipment-related challenges and implement optimization initiatives. You will manage data integrity, lead continuous improvement initiatives, and leverage your knowledge of semiconductor processes. This role suits individuals with strong analytical skills and an educational background in Engineering or Science, as well as a passion for innovation and growth in a dynamic environment.
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
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.
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
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
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)
Must have Bachelor’sor advanced degree in Engineering or Sciencefrom a recognized institution between May 2024 to May 2026
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 anda track recordof impact are highly desirable
Interest in and knowledge of the semiconductor industry and Micron is preferred
EmbodyMicron’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
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 other protected factor.