Senior AI/ML Engineer, DRAM Technology Modeling

Micron Technology • Boise, ID

1d

About The Position

As a Senior AI/ML Engineer on Micron's Advanced Modeling and Artificial Intelligence Solutions team (AMAIS), you will deliver high-impact, model-informed solutions to technology development groups focused on DRAM. You will develop composite models for DRAM modules, collaborate with technology and product groups, and provide predictive modeling insights to DRAM Process, Process Integration (PI), and Product Engineering (PE) teams. This role combines deep process knowledge with advanced ML/AI techniques to drive process optimization, yield improvement, and accelerated learning across Micron's DRAM technology portfolio.

Requirements

• Bachelor's degree with 5+ years, MS with 3+ years, or PhD or equivalent experience in Engineering, Artificial Intelligence, Data Science, Applied Mathematics, Applied Sciences, or a related field.
• Strong foundation in statistics, numerical methods, scientific computing, and advanced modeling techniques.
• Demonstrated experience in statistical modeling, ML-based process modeling, DOE optimization, or yield analytics.
• Experience with AI/ML algorithms applied to engineering or physical systems.
• Strong verbal and written communication skills with the ability to translate complex technical results into clear, actionable insights.

Nice To Haves

• Experience in the memory or semiconductor industry.
• Previous experience as a Process or Process Integration (PI) engineer.
• Familiarity with DRAM fabrication processes, inline metrology, and yield analysis workflows.
• Experience integrating models with fab data systems, SPC platforms, or automated reporting tools.
• Exposure to agentic AI solutions or advanced automation frameworks applied to manufacturing environments.

Responsibilities

• Develop composite models built on process knowledge for module co-optimization covering wafer and die level metrics, and deploy Virtual Process Models linking process conditions to inline metrology, defectivity, electrical, and yield outcomes
• Apply AI/ML algorithms and a diverse range of computational techniques to train robust models with sparse datasets, capturing nonlinear behavior, interactions, and high-dimensional parameter spaces
• Design smart DOEs, perform sensitivity studies, and response modeling to accelerate process learning while driving model-informed process optimization and control strategies
• Integrate modeling workflows with fab data, SPC, and reporting systems for closed-loop learning, and collaborate with cross-functional teams to build ML and agentic solutions into composite models
• Identify insights from predictive modeling, images, and data, and efficiently communicate findings to engineering teams and leaders to enable prompt action on yield improvement opportunities

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior