CPEE PRINCIPLE/SENIOR ENGINEER SEAL

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks an OCT CPEE SEAL Engineer/Senior Engineer to drive Manufacturing Excellence and AI-enabled digital transformation across global sites.

Lead SEAL deployment, standardization of BKMs, and WPD improvements while accelerating AI adoption in engineering workflows. The role requires leadership across sites, strong analytical skills, and experience in semiconductor manufacturing.

Qualifications

• Bachelor's degree in engineering, manufacturing, CS, DS, or related field.
• 5+ years of semiconductor manufacturing experience in Process or Equipment Engineering.
• Strong understanding of manufacturing systems, equipment performance, process optimization, and productivity improvement.
• Experience leading cross-functional projects and driving organizational alignment.
• Strong analytical and problem-solving capabilities.
• Excellent communication and stakeholder management skills.
• Demonstrated proficiency using AI tools to improve work efficiency and decision making.

Responsibilities

• Manufacturing Excellence & SEAL Lead: develop and deploy global SEAL initiatives to standardize manufacturing BKMs and improve operational excellence.
• Drive Wafer Per Day (WPD), utilization, MA, and productivity improvements through process and equipment optimization.
• Partner with site and global stakeholders to identify performance gaps and execute improvement roadmaps.
• Facilitate alignment across technology nodes and fabs to ensure successful adoption of proven solutions.
• Conduct Power Walks, performance reviews, and opportunity assessments to identify improvement opportunities.
• Track and communicate program progress, business impact, and KPIs to leadership.
• Identify, develop, and deploy AI-enabled engineering solutions to simplify workflows.
• Leverage Generative AI, AI Agents, automation tools, and advanced analytics to increase productivity.
• Drive AI adoption across SEAL programs for faster RCA and opportunity identification.
• Develop and scale AI-assisted workflows for monitoring and deployment.
• Champion digital transformation and integrate AI into business processes.
• Train and mentor teams on AI utilization.

Skills

Analytical thinking

Problem-solving

Communication & stakeholder management

Cross-functional leadership

AI tools proficiency

Project leadership

Education

Bachelor's degree in Engineering, Manufacturing, Computer Science, Data Science, or related technical field

Advanced degree (preferred)

Tools

Copilot

Generative AI

AI Agents

Dashboarding

Machine learning

Data analytics platforms

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.

The OCT CPEE SEAL Engineer/Senior Engineer will lead Manufacturing Excellence initiatives through standardization, SEAL deployment, Wafer Per Day (WPD) improvements, and Intelligent Solutions across global manufacturing sites. This role will drive sustainable productivity improvements through process optimization, best-known method (BKM) deployment, data-driven execution, and AI-enabled transformation. The candidate will serve as a technical leader in identifying opportunities, accelerating pilot adoption, and scaling innovative solutions across technologies and sites while leveraging Artificial Intelligence (AI), automation, and advanced analytics to improve engineering effectiveness and manufacturing performance.

Key Responsibilities

• Manufacturing Excellence & SEAL Lead development and deployment of global SEAL initiatives to standardize manufacturing BKMs and improve operational excellence.
• Drive Wafer Per Day (WPD), utilization, manufacturing availability (MA), and productivity improvements through process and equipment optimization.
• Partner with site and global stakeholders to identify performance gaps and execute improvement roadmaps.
• Facilitate alignment across technology nodes and fabs to ensure successful adoption of proven solutions.
• Conduct Power Walks, performance reviews, and opportunity assessments to identify improvement opportunities.
• Track and communicate program progress, business impact, and key performance metrics to leadership.

AI & Digital Transformation

• Identify, develop, and deploy AI-enabled engineering solutions to simplify engineering workflows and improve decision quality.
• Leverage Generative AI, AI Agents, automation tools, and advanced analytics to increase engineering productivity and reduce manual effort.
• Drive AI adoption across SEAL programs, enabling faster root cause analysis, opportunity identification, and decision-making.
• Develop and scale AI-assisted workflows for manufacturing performance monitoring, productivity opportunity tracking, and BKM deployment.
• Champion digital transformation initiatives and collaborate with IT, SMAI, and engineering teams to integrate AI solutions into existing business processes.
• Train and mentor teams on effective AI utilization and best practices.

Global Collaboration

• Partner with global site champions to execute cross-site alignment initiatives.
• Serve as a Subject Matter Expert (SME) in pilot program prioritization and deployment.
• Support implementation and sustainment of global standards.
• Work closely with leadership teams to identify strategic opportunities and accelerate execution.

Minimum Qualifications

• Bachelor's Degree in Engineering, Manufacturing, Computer Science, Data Science, or related technical field.
• 5+ years of semiconductor manufacturing experience in Process or Equipment Engineering.
• Strong understanding of manufacturing systems, equipment performance, process optimization, and productivity improvement methodologies.
• Experience leading cross-functional projects and driving organizational alignment.
• Strong analytical and problem-solving capabilities.
• Excellent communication and stakeholder management skills.
• Demonstrated proficiency using AI tools (e.g., Copilot, Generative AI, AI Agents, data analytics platforms) to improve work efficiency and decision making.

Preferred Qualifications

• Advanced degree in Engineering, Manufacturing, Data Science, Artificial Intelligence, or related discipline.
• Experience leading global standardization and productivity improvement initiatives.
• Experience with SEAL deployment, Intelligent Solutions, and Digital Manufacturing programs.
• Hands-on experience developing AI Agents, workflow automation solutions, or AI-powered engineering applications.
• Experience in data analytics, dashboarding, machine learning, statistical process control, or predictive analytics.
• Demonstrated success in driving measurable business impact through AI-enabled transformation.
• Ability to influence senior leaders and drive change across global organizations.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact [e-mail]

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.