Research Scientist, Electronic Design Automation

What you'll do

• Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced AI techniques.
• Innovate EDA software and algorithms using supervised, unsupervised, reinforcement learning, and agentic AI systems.
• Apply deep learning and GPU computing to improve ASIC and VLSI design tool flows.
• Develop GPU-accelerated optimization methods for chip design applications.
• Translate research findings into real-world product impacts for circuit design and architecture teams.
• Publish and present original research at conferences and industry events.
• Communicate complex technical concepts to internal product teams and external researchers.

What we're looking for

• PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).
• Proficiency in at least two of Python, PyTorch, C++, or CUDA.
• Expertise in EDA algorithms such as synthesis, physical design, design verification, or timing.
• Experience applying machine learning or deep learning (supervised, unsupervised, RL, agentic AI) to impactful problems.
• Proven track record of publications in top EDA and AI/ML venues.
• Excellent written and verbal communication skills with experience presenting technical work at academic conferences or poster sessions.
• Strong programming and systems skills.
• Ability to work collaboratively within a research team and communicate complex technical concepts.