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.
Micron is searching for a highly experience Data Scientist/GenAI Software Development Engineer within out Central Engineering team (CE)!
About the Department:
The Central Engineering team at Micron drives innovation and excellence in semiconductor technology by delivering innovative solutions that power our global manufacturing operations. We are a collaborative and highly skilled group of engineers focused on advancing efficiency, scalability, and quality in all aspects of engineering. Committed to pushing boundaries, we enable Micron to remain at the forefront of the industry while fostering a culture of continuous learning and innovation.
The Role:
This position entails building and fine-tuning 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 assist the Design Engineers in building the next Micron product at higher velocity and greater quality.
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.
Qualifications:
- BS or MS degree in Computer Science, Electrical Engineering or equivalent experience
- 2+ years working on transformer models.
- 3+ years experience with Python.
Preferred Qualifications:
- 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.
