Research Intern, GenAI EDA methodology for IC Design and Verification
San Jose, CA, US
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:
o GenAI, ML, RL, Neural Networks.
o 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.
Hourly interns pay range: $18 to $59, depending on degree-seeking academic program (PhD, Master’s, Bachelor’s, etc.), years of relevant experience, year in school, geographic location, credentials, qualifications, and other job-related factors.
Housing allowance and relocation benefit might be provided to intern candidates who meet the qualifications. Additional details on the compensation package will be provided to candidates during the interview process.
Tags: Architecture EDA Generative AI LLMs Machine Learning PhD Reinforcement Learning Research
Perks/benefits: Relocation support
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