Senior/Staff AI Product Owner, SMAI

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. Job Description 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. 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 hrsupport_sg@micron.com 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. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Summary

Own and shape the strategic roadmap of yield smart manufacturing solutions, identify AI-driven enhancements, and lead cross-functional projects to solve tactical yield issues using data science, AI, and GenAI. Requires a bachelor's or master's in engineering and at least 5 years in process equipment or integration engineering.

Responsibilities

Own and shape the strategic roadmap of yield smart manufacturing solutions; identify gaps and AI-driven enhancements; define business solutions and lead projects with global teams; use metrics and predictive analytics for improvement; collaborate with data scientists on yield ramp challenges.

Qualifications

Master's or Bachelor's Degree in Engineering; minimum 5 years in Process Equipment Engineering or Process Integration Engineering; proven project leadership; strong fab process and yield improvement domain knowledge; strong analytical and problem-solving skills; passion for data science, AI, and GenAI.

Education requirements

Master's or Bachelor's Degree in Engineering.

Experience requirements

Minimum 5 years' experience in Process Equipment Engineering or Process Integration Engineering; proven experience leading and managing projects; strong domain knowledge of fab processes and yield improvement activities; good understanding of early stage technology development.