Intel is seeking a motivated PhD Intern to join its design engineering team, focusing on AI-Driven Physical Design Engineering. This role involves leveraging artificial intelligence and machine learning to enhance the physical implementation of advanced silicon designs. The intern will work within the Data Center Group, dedicated to developing high-performance computing solutions. The position emphasizes building intelligent workflows and data analysis capabilities to optimize design processes and improve execution efficiency.

• Enrolled in a PhD program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Proficiency in industry-standard tools for physical design, including synthesis, place and route, and timing analysis software.
• Familiarity with scripting languages like Python or TCL for flow automation and debugging.
• Understanding of digital design concepts and methodologies, including RTL design and verification.

• Research and implement AI/ML techniques to improve 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 for faster, more accurate design decision-making.
• Design and implement Graph Neural Network (GNN) based systems for intelligent decision-making in design execution.
• Develop intelligent automation frameworks using Python and ML libraries such as TensorFlow or PyTorch.
• Collaborate with cross-functional AI research and design engineering teams to align AI-driven strategies with project objectives.
• Evaluate and benchmark AI-driven methodologies against traditional approaches to demonstrate improvements in Power, Performance, and Area.

• Intel offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.