MIT-IBM Watson AI Lab-posted 11 months ago
Cambridge, MA
5,001-10,000 employees
Professional, Scientific, and Technical Services

The project is focusing on interdisciplinary research related to circuit design in sub-10-nm advanced technologies and machine learning algorithms which can assist circuit design and technology migration. The job responsibilities include developing new AI and machine learning techniques (such as foundation models, large language models, and reinforcement learning), conducting experiments, developing solutions to real-world problems, and publishing papers in top-quality conferences.

  • Develop new AI and machine learning techniques such as foundation models, large language models, and reinforcement learning.
  • Conduct experiments.
  • Develop solutions to real-world problems.
  • Publish papers in top-quality conferences.
  • Background in computer science, electrical engineering, mathematics, or related fields.
  • Basic understanding of semiconductor technologies, analog/digital circuit design, EDA.
  • Strong programming skills (Python or equivalent), experience with machine learning tools and frameworks (TensorFlow, PyTorch etc.).
  • Experience with developing, training, and testing deep neural networks.
  • A track record of clearly and effectively communicating research ideas via publications and presentations at top-tier conferences (DAC, ISSCC, ICCAD, NeurIPS, ICLR, ICML, etc.).
  • Experience in conducting analog circuit design, EDA tasks in modern technologies.
  • Experience with large language models or multi-modal foundation models.
  • Advanced skill level in solving analytical problems using rigorous and quantitative approaches.
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