PhD Research Intern, Electronic Design Automation - 2027

Responsibilities

• Apply AI (Agentic AI, LLMs, Generative AI, Reinforcement learning) and GPU acceleration to chip design workflows.
• Research and develop creative and innovative EDA software and algorithms.
• Collaborate with circuits, VLSI, and architecture team members in research and product teams.
• Plan to publish and present your original research
• What We Need To See
• Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or related fields
• Publications in leading EDA or AI conferences on AI for EDA, Formal Methods, or GPU-accelerated EDA.
• Excellent programming skills in rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.
• Expertise in EDA (e.g., formal verification techniques, logic synthesis, physical design, and timing and signoff) algorithms combined with publications and project experience applying AI to impactful problems.
• Excellent self-motivation, a high degree of creativity, and a passion for research, collaboration skills, and the ability to work effectively within a research team.

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