Staff / Senior Product Engineer - Advanced Analytics

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. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in memory and storage innovation, accelerating the transformation of information into intelligence.

Join Micron’s STPG Product Engineering team where you will apply advanced analytics, machine learning, and agentic AI to solve complex NAND product engineering and manufacturing challenges. This role focuses on developing data‑driven and AI‑enabled solutions that improve yield, reliability, defectivity, and test time across the NAND product lifecycle—from New Product Introduction (NPI) to High‑Volume Manufacturing (HVM). You will work closely with Product Engineering, Fab, Technology Development, Test, Quality, and System teams to deploy scalable AI solutions into real production workflows.   In addition, you will play a key role in enabling and mentoring Citizen Data Scientists (CDS) within Product Engineering, strengthening the organization’s capability to apply machine learning and advanced analytics for domain‑specific problem solving.

Machine Learning & Advanced Analytics Development Develop and deploy predictive and diagnostic ML models for Yield improvement, test time reduction (TTR) and cost optimization, NAND reliability analysis, and Qualification.  Apply advanced ML techniques on large‑scale structured semiconductor datasets, including wafer fab inline data, probe data, and test data Build, validate, and maintain end‑to‑end ML workflows supporting NPI and HVM decision‑making Use data‑driven methods to support root cause analysis of yield, reliability, and defectivity issues   Agentic AI & Engineering Automation Design and implement agentic AI solutions to automate Product Engineering workflows (e.g. Yield and reliability analysis, test program validation and screening optimization, engineering report generation and data summarization) Integrate AI agents with enterprise and engineering systems (e.g., JIRA, Confluence, SharePoint, internal analytics platforms)   Product Engineering Domain Collaboration Work closely with Fab, NAND Technology Development, NAND Design, Test Solutions, Quality/Reliability, and System teams to: Address reliability and defectivity failures during qualification Support yield improvement, cost reduction, and test optimization initiatives Drive data‑backed technical decisions for NAND product releases Apply strong understanding of NAND manufacturing flows, defect mechanisms, and reliability requirements to ensure AI solutions are domain‑relevant and impactful   Citizen Data Scientist (CDS) Enablement & Technical Leadership Mentor and guide Citizen Data Scientists within Product Engineering on applying machine learning techniques to real engineering problems with protocols embraced.d Build structured learning paths, guidelines, and hands‑on training modules for ML and advanced analytics Review and provide technical guidance on AI/analytics projects to ensure quality, rigor, and business impact   Qualifications & Experience Education Bachelor's/Master's Degree in Electrical / Electronic / Computer Engineering / Computer Science / Data Science. With 3+ years of AI/ML Work Experience   Core Technical Skills Strong proficiency in Python and data processing libraries (Pandas, NumPy, Scikit‑learn) Hands‑on experience with ML models for structured/tabular data, including regression, tree‑based models,