Senior Engineer, STPG PE NAND

Job Title

Senior Engineer, STPG PE NAND

Role Summary

The Senior Engineer is responsible for defining, assessing, and safeguarding the intrinsic and extrinsic reliability of Micron's NAND Flash products by developing scalable analytics, data platforms, and AI-enabled engineering workflows.

This role partners with AI, IT, quality, and cross-functional engineering teams to deliver data-driven reliability strategies, improve product quality, and reduce customer escapes across development and manufacturing.

Experience Level

Senior role. Experience expectation: Bachelor's degree with >5 years or Master's degree with >3 years in relevant technical fields (see Education Requirements).

Responsibilities

Primary responsibilities include building data platforms, analytics, and AI solutions that improve NAND reliability engineering and decision-making.

• Design, develop, and enhance cloud-based data platforms for reliability monitoring and engineering workflows.
• Implement and maintain scalable ETL pipelines to ingest, validate, transform, and manage large engineering and manufacturing datasets.
• Use Python, SQL, BigQuery, PySpark, and cloud-native services to process large datasets, produce analyses, and generate visualizations.
• Partner with domain experts to translate engineering problems into AI/ML and analytics solutions and deploy them to production.
• Develop, evaluate, and operationalize AI/ML models for failure analysis, anomaly detection, and reliability assessment.
• Implement robust data processing: cleansing, outlier detection, and missing-data handling at scale.
• Support deployment, monitoring, and lifecycle management of ML solutions in cloud and enterprise environments.
• Identify opportunities where GenAI, ML, and analytics improve engineering productivity and product outcomes; promote adoption of AI-enabled tools.
• Provide technical support and clear communication of findings to technical and non-technical stakeholders.

Requirements

Must-have technical skills and experience; preferred items are listed separately.

• Must-have: Strong programming proficiency in Python and SQL.
• Must-have: Strong understanding of data analytics and AI/ML concepts and practical application to engineering problems.
• Must-have: Knowledge of semiconductor reliability fundamentals, NAND technology, and electrical failure analysis methodologies.
• Must-have: Understanding of data engineering concepts including scalable data processing, data cleansing, outlier treatment, and missing-data handling.
• Must-have: Strong analytical, problem-solving, communication, and technical presentation skills; demonstrated ownership and ability to work cross-functionally.

Nice-to-have:

• Experience with pandas, scikit-learn, matplotlib, plotly or similar data/visualization libraries.
• Hands-on experience developing and deploying ML systems involving LLMs (RAG, agentic workflows) and frameworks such as PyTorch or TensorFlow.
• Familiarity with modern AI coding tools or agentic coding harnesses and coding CLIs.
• Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production.
• Experience analyzing large, heterogeneous datasets from multiple systems.

Education Requirements

Bachelor's degree with >5 years of relevant experience, or Master's degree with >3 years in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related discipline. (Source lists degree + years as minimums.)

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.