Senior Data Scientist
Core
Develop and deploy machine learning models and analytical solutions to accelerate semiconductor development, covering design automation, process optimization, device modeling, and yield enhancement.
Role type
Senior IC data scientist (semiconductor physics & ML)
Builds
Production ML models and analytical solutions for semiconductor design, process, and manufacturing
Domain
Semiconductor industry + Machine Learning / Optimization
Deliverable
production ML models
Required skills
Linear algebra, probability theory, optimization theory, statistical inference, Python, PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, SciPy, SQL, NoSQL, Spark, Hadoop, AWS, Azure, GCP
Preferred skills
Semiconductor EDA tools (Cadence, Synopsys), Design of Experiments (DOE), Neural Networks, Deep Learning, Regression, Clustering, big data technologies, cloud platforms
Technologies
PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, SciPy, Matplotlib, Spark, Hadoop, AWS, Azure, GCP, SQL, NoSQL, Cadence, Synopsys
Responsibilities
Define, design, implement, and document data science solutions across the semiconductor development flow; apply AI/ML techniques to solve challenges in circuit design, layout optimization, process control, and parametric testing; leverage optimization theory and statistical inference to create physics-informed models; own and drive adoption of data science tools across design, process, test, and manufacturing teams
Seniority
Senior, hands-on IC