Staff / Senior Product Engineer - Advanced Analytics

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. About the RoleJoin 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. Key Responsibilities:Machine Learning & Advanced Analytics DevelopmentDevelop 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 dataBuild, validate, and maintain end‑to‑end ML workflows supporting NPI and HVM decision‑makingUse data‑driven methods to support root cause analysis of yield, reliability, and defectivity issues Agentic AI & Engineering AutomationDesign 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 CollaborationWork closely with Fab, NAND Technology Development, NAND Design, Test Solutions, Quality/Reliability, and System teams to:Address reliability and defectivity failures during qualificationSupport yield improvement, cost reduction, and test optimization initiativesDrive data‑backed technical decisions for NAND product releasesApply 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 LeadershipMentor and guide Citizen Data Scientists within Product Engineering on applying machine learning techniques to real engineering problems with protocols embraced.dBuild structured learning paths, guidelines, and hands‑on training modules for ML and advanced analyticsReview and provide technical guidance on AI/analytics projects to ensure quality, rigor, and business impact Qualifications & ExperienceEducationBachelor's/Master's Degree in Electrical / Electronic / Computer Engineering / Computer Science / Data Science.With 3+ years of AI/ML Work Experience Core Technical SkillsStrong 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, and gradient boostingAbility to build, evaluate, and interpret ML models for engineering decision‑making Additional / Preferred SkillsSemiconductor / NAND manufacturing or product engineering experience is strongly preferredExperience with ML/DL frameworks (TensorFlow, PyTorch) for images, text, logs, or unstructured dataExposure to LLM‑based and agentic AI frameworks (e.g., LangChain, Microsoft Copilot Studio, Claude)Familiarity with cloud‑based AI platforms (e.g., Azure ML, AWS SageMaker) Soft SkillsStrong analytical and problem‑solving skillsExcellent communication skills with the ability to translate data insights into engineering actionsAbility to work effectively in fast‑paced, cross‑functional environments Why Join UsDrive AI transformation in semiconductor Product EngineeringWork on high‑impact initiatives that improve yield, reliability, cost, and time‑to‑marketOpportunities for technical leadership, patents, and career growth in a world‑class semiconductor company  Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.To learn more about Micron, please visit micron.com/careers