Senior/Staff AI Product Owner, SMAI

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.

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.