Staff/Senior Product Engineer, Advanced Data Analytics - Heterogeneous Integration Group (HBM) Product Engineering

Job Title

Staff/Senior Product Engineer, Advanced Data Analytics - Heterogeneous Integration Group (HBM) Product Engineering

Role Summary

Lead technical efforts to apply advanced data analytics, machine learning, and AI to improve yield, quality, reliability, and engineering efficiency for HBM products.

Develop analytics solutions, screening methodologies, early-warning systems, and scalable data infrastructure while collaborating across Fab, design, product engineering, and quality teams.

Experience Level

Senior (Staff/Senior level). No explicit years-of-experience requirement stated.

Responsibilities

Deliver analytics and AI-enabled engineering solutions that improve product outcomes and operational efficiency. Key responsibilities include:

• Apply statistical analysis, machine learning, and AI to identify yield and reliability signatures and translate findings into actionable improvements.
• Lead cross-functional initiatives to drive sustained improvements in yield, quality, and product performance across the HBM lifecycle.
• Develop, validate, and deploy ML/DL models for data mining, pattern recognition, anomaly detection, wafer/die-level screening, and product disposition.
• Design scalable deviation-detection and monitoring systems for early-warning, faster containment, and corrective actions.
• Improve data infrastructure, automation, visualization, and analytics workflows to enable faster, scalable engineering decisions.
• Collaborate with Fab, technology development, design, system development, product engineering, and quality/reliability teams to solve complex product and manufacturing challenges.
• Provide technical mentorship, promote best practices in analytics and AI/ML, and build team capabilities.
• Identify and champion innovative methodologies and AI-enabled ways of working to increase engineering effectiveness and accelerate learning cycles.

Requirements

Core technical skills and leadership experience required; semiconductor-specific experience desirable.

• Data analytics: Strong engineering background with demonstrated experience in statistical analysis, data mining, and data-driven problem solving.
• Programming: Proficiency in Python and relevant data-analysis libraries for large, complex engineering datasets.
• Machine learning: Experience developing and applying ML techniques (regression, classification, clustering, anomaly detection, pattern recognition).
• Visualization: Experience with Power BI, Tableau, or similar BI platforms and ability to translate complex data into actionable insights.
• Leadership & communication: Demonstrated ability to lead complex technical initiatives, influence cross-functional teams, and communicate findings to technical and non-technical stakeholders.
• AI/ML technical leadership: Proven track record of developing and applying ML/AI solutions in engineering or manufacturing contexts and applying AI responsibly.
• Mentorship: Experience providing technical guidance, sharing best practices, and developing team capabilities.
• Nice-to-have: Experience in semiconductor manufacturing, memory products, yield engineering, manufacturing analytics, or DRAM/HBM products.

Education Requirements

Bachelor's or Master's degree in Electrical/Electronic Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Data Science, or a related engineering/technical field.

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.