Staff / Senior Product Engineer - Advanced Analytics

What You'll Do

• 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, and gradient boosting Ability to build, evaluate, and interpret ML models for engineering decision‑making Additional / Preferred Skills Semiconductor / NAND manufacturing or product engineering experience is strongly preferred Experience with ML/DL frameworks (TensorFlow, PyTorch) for images, text, logs, or unstructured data Exposure 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 Skills Strong analytical and problem‑solving skills Excellent communication skills with the ability to translate data insights into engineering actions Ability to work effectively in fast‑paced, cross‑functional environments Why Join Us Drive AI transformation in semiconductor Product Engineering Work on high‑impact initiatives that improve yield, reliability, cost, and time‑to‑market Opportunities 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.
• To learn more about Micron, please visit micron.com/careers 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 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.