AI/ML Research Scientist

CommIT seeks an AI/ML Research Scientist to innovate at the intersection of artificial intelligence and semiconductor design, focusing on machine learning approaches to solve chip optimization challenges.

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)

Nice to have:

• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science

• Conduct cutting-edge research in applying machine learning techniques to chip design and optimization problems
• Develop and implement algorithms using graph neural networks, diffusion models, and other advanced ML architectures
• Collaborate with cross-functional teams including engineers and researchers
• Publish research findings in top-tier conferences and journals
• Prototype and validate new approaches using modern ML frameworks
• Contribute to open-source or commercial EDA tools