Staff Data Scientist Silicon Layout Design Hyderabad

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 stateoftheart data products including predictive analytics, prescriptive optimization, decision support, and automated decision systems using largescale data from silicon design, verification and physical layout This role requires deep expertise in machine learning, statistical modelling, and optimization, with robust exposure to semiconductor design flows and contemporary 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 highimpact innovation across Microns 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 Graphbased 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 ML systems that operate .