Research Scientist

• Conduct research in AI-assisted EDA, focusing on practical solutions that accelerate chip design and verification workflows.
• Train and deploy large language models using substantial compute resources, optimizing for both performance and real-world applicability.
• Design, build, and benchmark agentic AI systems using state-of-the-art LLMs and proprietary in-house models.
• Translate research innovations into production-ready features that integrate seamlessly into hardware engineering workflows.
• Collaborate with cross-functional teams to identify high-impact research directions based on customer needs and field deployment learnings.
• Publish findings and contribute to the broader AI and EDA research communities where appropriate.
• Degree in Computer Science, Machine Learning, Electrical Engineering, or a related field (or equivalent research experience).
• Strong background in large language models, deep learning, and modern ML frameworks (e.g., PyTorch, JAX).
• Experience with AI agent architectures, autonomous systems, or multi-agent workflows.
• Familiarity with electronic design automation (EDA) tools, RTL design, or hardware-software co-design is a strong plus.
• Strong programming skills in Python and experience with large-scale model training infrastructure.
• Ability to balance research rigor with pragmatic engineering to deliver real-world impact.

None flagged.