Product Engineer, Advanced Data Analytics — Heterogeneous Integration Group (HBM Product Engineering)

Job Title

Product Engineer, Advanced Data Analytics — Heterogeneous Integration Group (HBM Product Engineering)

Role Summary

Responsible for developing and deploying data-driven product-disposition and analytics solutions to improve yield, quality, and reliability for HBM products within the Heterogeneous Integration Group (HIG). Works with cross-functional teams across fab, technology, design, system development, and quality to deliver production-ready solutions.

Position is based on-site at Fab 10A in Singapore and includes international travel to Taiwan.

Experience Level

Mid-level — 3+ years in data analytics or data science preferred; outstanding fresh graduates are also considered.

Responsibilities

Key responsibilities include:

• Develop, validate, and deploy product-disposition workflows to reduce defects and improve product quality.
• Perform engineering data analysis using statistical tools, machine learning, and AI to improve yield and reliability.
• Create deviation alert systems to monitor yield loss and parameter trends at wafer, die, and cube levels.
• Develop ML and deep-learning algorithms for data mining, pattern recognition, screening, and efficiency improvements.
• Mentor and develop team members; provide technical leadership on projects.
• Collaborate with Fab, HBM technology and design, system development, and quality/reliability teams to integrate solutions into production.
• Promote innovation and drive technical changes that improve KPIs such as quality, cost, cycle time, and scalability.

Requirements

Must-have and preferred qualifications:

• Must-have: Practical experience in data analytics or data science; familiarity with tools such as JMP, Tableau, and Power BI.
• Must-have: Strong communication skills to present findings to non-technical stakeholders.
• Must-have: Demonstrated ability to collaborate across teams and to mentor or coach others.
• Must-have: Willingness to work on-site in Singapore and travel internationally (e.g., Taiwan).
• Nice-to-have: Prior experience in Micron product engineering or the semiconductor industry.
• Nice-to-have: Experience developing, deploying, and validating AI/ML models for manufacturing KPIs.

Education Requirements

Bachelor's or Master's degree in Electrical and Electronics Engineering, Statistics, or a related engineering field. The posting also welcomes outstanding fresh graduates.

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.