Offline RL for EDA Optimization Internship
Research and development internship focused on applying offline reinforcement learning techniques to electronic design automation (EDA) optimization problems. The intern will work with an engineering/research team in Hsinchu on model development, data preparation, experiment design, and result analysis.
Entry-level (Internship). Suitable for students or early-career candidates; prior coursework or project experience in machine learning or reinforcement learning preferred.
Core responsibilities for this internship role include:
Key requirements and competencies.
Not specified.
Company: Synopsys
Headquarters: Mountain View, California, USA
Synopsys is a leading company in electronic design automation (EDA) and semiconductor IP solutions. It provides tools and services for designing and verifying complex semiconductor devices and systems. The company plays a pivotal role in the semiconductor industry, helping engineers innovate and deliver higher-quality products faster. Synopsys is committed to advancing technology standards and offers a range of software and hardware solutions to its clients globally.
