Micron Technology is looking to build and fine-tune large language models (LLMs) for automated Silicon design and Design Verification (DV) to assist Design Engineers in building the next Micron product at higher velocity and greater quality.
Requirements
- 2+ years working on transformer models.
- 3+ years experience with Python.
- 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.
Responsibilities
- 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.
Other
- BS or MS degree in Computer Science, Electrical Engineering or equivalent experience
- Publication track record in major ML conferences like: NeurIPS, ICLR, ICCV etc.
- Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future.
- Micron is proud to be an equal opportunity workplace and is an affirmative action employer.
- Candidates are encouraged to use AI tools to enhance their resume and/or application materials.
