NVIDIA
PhD Research Intern, Electronic Design Automation - 2027
US, CA, Santa Clara · Internship · Posted Oct 12, 2026
- Education
- Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
About the job
Research and develop AI- and GPU-accelerated EDA methods and software for chip design, with plans to publish and present original research.
What you'll do
- Apply AI and GPU acceleration to chip design workflows.
- Develop EDA software and algorithms and collaborate with circuits, VLSI, and architecture teams.
- Plan to publish and present original research.
What they ask for
- Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Publications in leading EDA or AI conferences on AI for EDA, Formal Methods, or GPU-accelerated EDA.
- Strong programming skills in rapid-prototyping environments such as Python.
- Expertise in EDA algorithms, combined with publications and project experience applying AI to impactful problems.
Nice to have
- C++ and parallel programming (e.g., CUDA).
Pay
38 USD - 94 USD per hour; hourly rate
Tools
Python, C++, CUDA
AI focus
Apply Agentic AI, LLMs, Generative AI, and reinforcement learning, alongside GPU acceleration, to chip design workflows and EDA research.
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