GenAI Architect

Micron is searching for a highly experience Data Scientist/GenAI Architect! This position entails building and finetuning large language models (LLMs) for the purpose of automated Silicon design and Design Verification (DV). The engineer is expected to build LLM based EDA workflows which assists the Design Engineers in building the next Micron product at higher velocity and greater quality. Responsibilities: Optimize and finetune 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 effectiveness 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. Qualifications: BS or MS degree in Computer Science, Electrical Engineering or equivalent experience. Experienced working on transformer models. Experience supervising the finetuning of LLMs. Preferred Qualifications: Demonstrated ability with Python. 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.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.