StaffDataScientist-SiliconLayoutDesign

**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. We are seeking a Staff Data Scientist to build and deploy state‑of‑the‑art data products including predictive analytics, prescriptive optimization, decision support, and automated decision systems using large‑scale data from silicon design, verification and physical layout This role requires deep expertise in machine learning, statistical modelling, and optimization, with strong exposure to semiconductor design flows and modern AI techniques such as Large Language Models (LLMs), Graph Neural Networks (GNNs), and Reinforcement Learning (RL). You will operate at the intersection of data science, EDA, and manufacturing systems, driving high‑impact innovation across Micron’s technology development and fab operations. **Key Responsibilities** * Apply advanced techniques from machine learning, statistics, optimization, semiconductor physics, materials science, and computer science to extract insights and build robust models from complex semiconductor data. * Build and develop solutions powered by machine learning for silicon compose, verification, physical layout, yield learning, defect analysis, and manufacturing optimization. * Leverage LLMs for semiconductor specific use cases such as EDA, design knowledge extraction, requirement analysis, failure triage, and decision automation. * Build Graph‑based models (GNNs) to represent and analyse netlists, layout graphs, dependency graphs, and process flows. * Develop and apply optimization algorithms, including reinforcement learning, for design space exploration, tool parameter tuning, scheduling, and process optimization. * Independently architect and implement scalable data pipelines, feature engineering frameworks, and