AI-Driven Physical Design Engineering (PhD Intern)

Job Details: Job Description: The Role and Impact: Intel is seeking motivated individuals to join its dynamic design engineering team as an AI-Driven Physical Design Engineering PhD Intern. This role offers a unique opportunity to leverage artificial intelligence and machine learning techniques to revolutionize the physical implementation of cutting-edge silicon designs. You will focus on developing AI-powered workflows, building intelligent data analysis capabilities, and designing adaptive systems that enhance execution efficiency and optimize implementation strategies through data-driven decision making. Business Group: The Data Center Group (DCG) is at the forefront of developing high-performance computing solutions that power the world's data-centric applications. This team is dedicated to designing innovative silicon technologies that support Intel's mission to lead in processing, storage, and networking solutions for data centers. Join a group committed to shaping the future of technology by solving complex challenges and driving performance enhancements. Key Responsibilities: Research and implement AI/ML techniques to identify new opportunities for improving physical design processes and methodologies. Develop AI-enhanced workflows for high-performance silicon implementation that reduce manual effort and improve design quality. Build ML-powered data analysis and summarization pipelines to enable faster, more accurate design decision-making.