Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever.
Job Description
As a Staff Engineer within the HIG HBM Product Engineering Advanced Data Analytics team , you will play a key technical leadership role in advancing data-driven engineering capabilities for HBM products.
You will spearhead high-impact initiatives leveraging advanced data analytics, machine learning, and artificial intelligence (AI) to improve product yield, quality, reliability, and engineering efficiency. You will develop innovative analytics solutions, enhance product disposition and wafer/die-level screening methodologies, establish proactive yield and quality deviation detection systems, and strengthen data and analytics infrastructure.
As a senior technical contributor, you will provide technical mentorship, influence engineering direction, and drive innovation and AI-enabled ways of working across the organization. You will collaborate with cross-functional teams within and outside HBM to solve complex engineering challenges and achieve strategic and tactical objectives, with a strong focus on Quality, Cost, Cycle Time, and Scale .
Key Responsibilities
Advanced Analytics for Yield Improvement and Reliability: Apply statistical analysis, machine learning, AI, and engineering domain knowledge to analyze complex engineering data, identify yield and reliability signatures, uncover potential root causes, and translate insights into actionable improvements.
Cumulative Yield and Quality Improvement: Lead and contribute to cross-functional initiatives to identify yield opportunities and drive sustainable improvements in overall yield, quality, and product performance across the HBM product lifecycle.
AI/ML Model and Algorithm Development: Develop, validate, and deploy advanced algorithms, including machine learning and deep learning models, for data mining, pattern recognition, anomaly detection, wafer/die-level screening, product disposition, yield improvement, and quality enhancement.
Proactive Deviation Detection and Monitoring: Develop scalable analytics and early-warning solutions to proactively identify yield, quality, product, and process deviations, enabling faster containment, investigation, and corrective actions.
Data and Analytics Infrastructure: Drive improvements in data infrastructure, automation, visualization, and analytics workflows to enable faster and more scalable engineering decision-making.
Cross-Functional Technical Leadership: Collaborate closely with Fab, HBM Technology Development, HBM Design, System Development, Product Engineering, and Quality/Reliability teams to solve complex product and manufacturing challenges and enable successful product delivery.
Technical Mentorship and Capability Building: Provide technical guidance and mentorship to engineers, promote best practices in advanced analytics and AI/ML, and strengthen the team's overall technical capabilities.
Innovation and Technology Leadership: Identify and champion innovative methodologies, technologies, and engineering approaches that improve engineering effectiveness, accelerate learning cycles, and provide differentiated technical capabilities.
AI-Enabled Ways of Working and Continuous Improvement: Integrate AI-assisted tools and…