Innovative Engineer in Machine Learning for Next-Gen Chip Design

Transform chip design practices using innovative machine learning applications. Drive efficiency and optimize performance in advanced technological environments. In this pivotal role, you will focus on creating ML-based optimization applications while enhancing collaboration with multidisciplinary teams. Your experience with Unix/Linux and programming languages will aid in overcoming design challenges and integrating ML tools effectively. Engage in research and prototype novel methodologies in a fast-evolving industry. Key Responsibilities: • Develop ML applications for advanced chip design optimization. • Integrate solutions with leading EDA tools. • Automate chip design processes using scripting. • Collaborate to solve design challenges and improve PPA. • Drive novel methodologies from research to productization. Requirements: • Bachelor's, Master's, or PhD in relevant disciplines. • Minimum 5 years in chip design, EDA, or similar fields. • Familiarity with multiple chip design domains preferred. • Proficient in scripting languages such as Perl or Python. • Strong background in Unix/Linux design automation. Join an expert team to reshape semiconductor designs through effective machine learning strategies, pioneering industry advancements.