Staff / Senior Product Engineer - Advanced Analytics

Job Title

Staff / Senior Product Engineer - Advanced Analytics

Role Summary

Apply advanced analytics, machine learning, and agentic AI to improve NAND product yield, reliability, defectivity, and test time across New Product Introduction (NPI) to High‑Volume Manufacturing (HVM).

Collaborate with Product Engineering, Fab, Technology Development, Test, Quality, and Systems teams to deploy scalable AI solutions into production workflows and mentor Citizen Data Scientists within the organization.

Experience Level

Senior level. The posting requests 3+ years of AI/ML work experience; position title indicates staff/senior responsibilities and technical leadership.

Responsibilities

Key responsibilities focus on building production-ready ML/AI solutions for NAND product engineering and enabling engineering teams to apply analytics effectively.

• Develop, validate, and deploy predictive and diagnostic ML models for yield improvement, test-time reduction, cost optimization, reliability analysis, and qualification.
• Work with large-scale structured semiconductor datasets (wafer inline, probe, test data) and maintain end-to-end ML workflows supporting NPI and HVM decision-making.
• Design and implement agentic AI solutions to automate engineering workflows (yield/reliability analysis, test validation, report generation, data summarization).
• Integrate AI agents with enterprise and engineering systems (e.g., ticketing, documentation, internal analytics platforms).
• Collaborate with Fab, NAND technology, design, test, and quality teams to address failures, support yield and cost reduction, and drive data-backed release decisions.
• Mentor and enable Citizen Data Scientists: build training modules, review projects, and provide technical guidance to ensure rigor and impact.

Requirements

Must-have technical skills and experience required for the role; preferred items listed separately.

• 3+ years of AI/ML work experience (as stated in the posting).
• Strong proficiency in Python and data libraries (Pandas, NumPy, scikit-learn).
• Hands-on experience building, evaluating, and interpreting ML models for structured/tabular data (regression, tree-based models, gradient boosting).
• Experience creating end-to-end ML workflows and applying data-driven methods for root-cause analysis.
• Strong analytical problem-solving and clear technical communication skills for cross-functional collaboration.

Nice-to-have / preferred:

• Semiconductor / NAND manufacturing or product engineering experience.
• Experience with ML/DL frameworks (TensorFlow, PyTorch) for unstructured data (images, text, logs).
• Exposure to LLM-based and agentic AI frameworks (e.g., LangChain, Copilot Studio) and cloud AI platforms (Azure ML, AWS SageMaker).
• Experience mentoring or enabling non-data-scientist engineers (Citizen Data Scientist programs).

Education Requirements

Bachelor's or Master's degree in Electrical Engineering, Electronic Engineering, Computer Engineering, Computer Science, or Data Science (as specified in the posting).

About the Company

Company: Micron Technology

Headquarters: Boise, Idaho, USA

Micron Technology is a global leader in memory and storage solutions, dedicated to transforming how the world uses information. The company offers a diverse portfolio of high-performance DRAM, NAND, and NOR memory products under the Micron and Crucial brands. With a commitment to customer focus and technological innovation, Micron drives advancements in artificial intelligence, 5G, and other data-centric applications, empowering users to learn, communicate, and progress.