Senior AI-Driven SEAL Engineer for Manufacturing Excellence

Micron Technology, Inc

Singapore

On-site

SGD 120,000 - 180,000

Full time

6 days ago
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Job summary

Micron Technology, Inc. is seeking an OCT CPEE SEAL Engineer/Senior Engineer to lead Manufacturing Excellence initiatives globally, standardizing BKMs and driving WPD improvements across manufacturing sites.

You will partner with global stakeholders to identify gaps, deploy AI-enabled solutions, and scale AI-assisted workflows to improve engineering effectiveness and output. Ideal candidates hold a engineering degree with 5+ years of semiconductor experience, strong analytics, and experience in

Qualifications

  • Bachelor’s degree in an engineering or technical field with 5+ years semiconductor manufacturing experience.
  • Experience leading cross-functional projects and driving organizational alignment.
  • Knowledge of SEAL, Digital Manufacturing, and AI-enabled transformation is preferred.

Responsibilities

  • Lead development and deployment of global SEAL initiatives to standardize BKMs.
  • Drive wafer per day improvements and manufacturing availability across sites.
  • Identify performance gaps and execute improvement roadmaps with stakeholders.
  • Develop AI-enabled engineering solutions to simplify workflows and improve decisions.
  • Scale AI-assisted workflows for monitoring and productivity tracking.

Skills

Manufacturing Excellence
AI-enabled transformation
Data-driven decision making
Project leadership
Stakeholder management
Analytical problem solving

Education

Bachelor’s degree in Engineering/ Manufacturing/ CS/ Data Science
Advanced degree (preferred) in Engineering/ AI/ Manufacturing

Tools

Copilot
Generative AI
AI Agents
Data analytics platforms
Dashboarding tools

Job description

Micron Technology, Inc. is seeking an OCT CPEE SEAL Engineer/Senior Engineer to lead Manufacturing Excellence initiatives globally, standardizing BKMs and driving WPD improvements across manufacturing sites.

You will partner with global stakeholders to identify gaps, deploy AI-enabled solutions, and scale AI-assisted workflows to improve engineering effectiveness and output. Ideal candidates hold a engineering degree with 5+ years of semiconductor experience, strong analytics, and experience in

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