Senior/Staff AI Product Owner, SMAI

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.Singaporemycareersfuturepublished 10/19/2026
Must-have:DataAILead

About the company

As a AI Product Owner at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, drives, and delivers end-to-end smart manufacturing solutions, integrated across functions of the business. The team applies industry-leading methodologies in automation, artificial intelligence (AI), and generative AI (GenAI) to enhance Micron’s product development, business, and administrative processes across the company.

Your tasks

Responsibilities and Tasks

  • Own and shape strategic roadmap of yield smart manufacturing solutions (YMS applications), work with users to capture and analyze information related to the adoption of SMAI solutions.
  • Identify gaps, weaknesses, and inefficiencies in current solutions, including opportunities for AI-driven enhancements.
  • Define business solutions and propose projects for implementation, work with fab engineers and data scientist to solve tactical yield issue, leveraging data science, AI and GenAI technologies where applicable.
  • Lead projects and activities requiring coordination, support, and management of resources from global teams. Collaborate with AI Engineer and Data Scientist to design, execute, and deliver smart manufacturing solutions.
  • Use metrics and performance data to identify opportunities for improvement, including predictive analytics and intelligent decision support.
  • Provide domain and system expertise; collaborate with data scientists to perform data analysis and identify opportunities on early technology development and yield ramp challenges using AI/ML models.

Requirements

  • Master's or Bachelor's Degree in Engineering.
  • Minimum 5 years' experience in Process Equipment Engineering (PEE) department, i.e. Dry Etch, CVD, PVD, Diffusion, Photo, CMP, Wet, Implant or Process Integration Engineering (PIE), i.e. yield analysis, defect analysis, process integration.
  • Proven experience leading and managing projects, with strong program and project management capabilities.
  • Possess strong domain knowledge of fab processes, experienced in yield improvement activities.
  • Good understanding and experience in early stage technology development
  • Possess strong analytical and problem solving skills.
  • Strong passion for Data Science (DS), Artificial Intelligence (AI), and Generative AI (GenAI), with a strong interest in applying these technologies to smart manufacturing and yield improvement.
  • Self-motivated and excellent in communication, team work, and collaboration with other departments.