AI-Driven Physical Design Engineering (PhD Intern)
Intel CorporationJob Title
AI-Driven Physical Design Engineering (PhD Intern)
Role Summary
Join a design engineering team within Intel's Data Center Group to apply AI/ML methods to physical implementation of advanced silicon. The role focuses on developing AI-powered workflows, data-analysis pipelines, and automation to improve implementation efficiency and PPA (Power, Performance, Area).
Experience Level
Entry-level internship.
Responsibilities
Primary technical responsibilities for the intern position.
- Research and implement AI/ML techniques to improve physical design processes.
- Develop AI-enhanced workflows for synthesis, place-and-route, and timing-driven implementation.
- Build ML-powered data analysis and summarization pipelines to support design decisions.
- Design and prototype Graph Neural Network (GNN)-based systems for intelligent decision-making in design execution.
- Develop automation frameworks and scripts using Python and common ML libraries; use TCL/Perl for flow automation as needed.
- Collaborate with AI research and design engineering teams to integrate AI strategies into projects.
- Evaluate and benchmark AI-driven methods against traditional approaches to quantify improvements in PPA and runtime.
Requirements
Must-have technical skills and desirable additional qualifications.
- Must-have: Proficiency with industry-standard physical design tools (synthesis, place-and-route, timing analysis).
- Must-have: Familiarity with scripting for flow automation and debugging (Python, TCL).
- Must-have: Understanding of digital design concepts and methodologies, including RTL design and verification.
- Nice-to-have: Experience with ML frameworks (TensorFlow or PyTorch) and applying ML in engineering workflows.
- Nice-to-have: Knowledge of Graph Neural Networks (GNNs) or graph-based algorithms; familiarity with reinforcement learning concepts for optimization.
- Nice-to-have: Experience with data-analysis libraries (Pandas, NumPy, Matplotlib) and strong Python programming for ML applications.
- Nice-to-have: Strong problem-solving, communication, and teamwork skills.
Education Requirements
Enrolled in a PhD program (required) in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
About the Company
Company: Intel Corporation
Headquarters: Santa Clara, California, USA
Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.
