System and Analog Data Science
Core
Apply data analytics and machine learning to optimize the design, verification, and performance of complex system-on-chip (SoC) and analog circuits.
Role type
System and Analog Data Scientist
Builds
Predictive models for circuit performance, reliability, and yield
Domain
Semiconductor / Analog Circuit Design
Deliverable
production ML models
Required skills
Python (Pandas, NumPy, Scikit-learn, TensorFlow/Pytorch), R, statistical modeling, machine learning algorithms, deep learning architectures, SQL, big data technologies
Preferred skills
Semiconductor design flows, analog circuit fundamentals, system-level architectures
Responsibilities
Develop data collection, cleaning, and transformation pipelines; Apply statistical analysis and ML to identify patterns and anomalies; Create predictive models for circuit performance; Design and execute experiments to validate models; Collaborate with design and verification teams to integrate solutions; Research advancements in data science and semiconductor design
Seniority
Mid-level, hands-on IC