Staff Data Scientist-Silicon Layout Design
Core
Build and deploy state-of-the-art data products including predictive analytics, prescriptive optimization, and automated decision systems using large-scale data from silicon design, verification, and physical layout.
Role type
Staff Data Scientist (Silicon Layout Design & EDA)
Builds
Production-grade ML solutions for silicon compose, verification, physical layout, yield learning, defect analysis, and manufacturing optimization.
Domain
Semiconductor manufacturing, Silicon Design, EDA (Electronic Design Automation)
Deliverable
production ML models
Required skills
Machine learning, statistical modelling, optimization, Large Language Models (LLMs), Graph Neural Networks (GNNs), Reinforcement Learning, Python, SQL, distributed data platforms, feature engineering, software engineering fundamentals
Preferred skills
Semiconductor industry experience (Silicon Design Analog Layout, Physical design, CAD/EDA tools), Master's or Ph.D. in Data Analytics/CS/Statistics/Mathematics/Physics
Technologies
Python, R, SQL, LLMs, GNNs, Reinforcement Learning
Responsibilities
Apply advanced ML/statistics/optimization techniques to extract insights from complex semiconductor data; Build ML solutions for silicon compose, verification, physical layout, yield learning, defect analysis, and manufacturing optimization; Leverage LLMs for EDA, design knowledge extraction, requirement analysis, failure triage, and decision automation; Build Graph-based models to represent and analyze netlists, layout graphs, and process flows; Develop optimization algorithms for design space exploration, tool parameter tuning, scheduling, and process optimization; Architect and implement scalable data pipelines and ML systems for terabyte- and petabyte-scale datasets; Partner with Design Engineering, Verification, Layout, CAD, and software teams to deliver production-grade data products; Mentor and guide senior and less experienced Data Scientists; Drive innovation and exploratory research to translate ideas into deployable systems.
Seniority
Staff, hands-on IC with mentorship responsibilities
