Research Scientist, Electronic Design Automation - New College Grad 2026

What you'll do

• Develop research in EDA algorithms, VLSI design methodology, and AI techniques, including GPU-accelerated optimization.
• Apply deep learning and GPU computing to improve ASIC and VLSI design tool flows; collaborate with circuit design, VLSI, architecture, and product teams.
• Publish and present research and collaborate with external researchers and internal teams.

What they ask for

• PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience).
• Proficiency in at least two of Python, PyTorch, C++, or CUDA.
• Publications in top EDA and AI/ML venues.
• Expertise in EDA algorithms combined with publications and project experience applying machine learning/deep learning to impactful problems.

Pay

168,000 USD - 264,500 USD (base salary)

Tools

Python, PyTorch, C++, CUDA

AI focus

Research and apply supervised, unsupervised, and reinforcement learning, agentic AI systems, and deep learning to EDA algorithms and ASIC/VLSI design flows.