Job Description

Responsibilities:

• Play a key role in our CPU group in research of Generative AI (GenAI) methods for IC Design and Verification in EDA.
• Survey, explore, and investigate current state of the art methods of GenAI and its usage in Electronic Design Automation (EDA) workflows.
• Lead research in areas of GenAI methods and its usage in the RTL coding, Synthesis, and Verification process of the IC design flow.
• Procure models and perform experiments to gather data to support evaluation of the research topics/areas.
• Publish papers, and/or file patents on the research topics/areas.

Requirements/Qualifications:

• Proficient knowledge of GenAI, ML, and familiarity with EDA tools and working knowledge of one or more areas in RTL coding, synthesis, and/or verification.
• Familiarity with state-of-the-art large language models (LLMs) and multi-modal GenAI architectures is a significant plus.
• Experience conducting research in Reinforcement Learning (RL), Neural Networks, and their practical application in complex technical workflows.
• Strong skills in experimenting with, fine-tuning, and evaluating foundation models for domain-specific EDA tasks.
• Experience and/or previous research in one or more of the following:
GenAI, ML, RL, Neural Networks.
EDA tools for RTL design, synthesis, and/or verification.
• Hands-on experience in research and writing papers.
• Must be highly analytical, organized, and detailed-oriented; work independently and with a team to deliver on milestones.
• Must have good verbal and written communication skills.
• Prefer candidate in a PhD program.