Principal GenAI Software Development Engineer

Develop LLM applications to automate electronics design and verification. Optimize and fine-tune LLMs for the purpose of automated corner case uncovering, design optimization and spec-to-design translation. Develop and implement RL based retraining and prompting to elicit desired outputs from LLMs. Curate and maintain datasets for training and evaluating LLMs for the purpose of Silicon Design Automation. Benchmark the LLM efficiency and propose methodologies for further improvement. Collaborate with other Silicon authorities to integrate LLMs into existing EDA workflows. Contribute to the development of standard methodologies for LLM development and deployment. BS or MS degree in Computer Science, Electrical Engineering or equivalent experience 2+ years working on transformer models. 3+ years experience with Python. Master's or PhD in Computer Science, Electrical Engineering 3+ years building LLM EDA workflows 3+ years experience supervising the fine-tuning of LLMs. Highly proficient in Python programming Basic understanding of MLOPs. Having studied or practical experience in a formal course in Machine Learning, Robotics or Computer Vision. Publication track record in major ML conferences like: NeurIPS, ICLR, ICCV etc.