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Research Intern, Design Automation - Summer 2024

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Oct 22

🚀 Summer Internship

San Francisco +1

⌛ Closed
Applications are closed

Summer Internship

Research & Development, Software EngineeringSan Francisco, Austin


  • NVIDIA Design Automation research group is seeking research interns in the areas of AI for chip design and GPU accelerated EDA. Deep learning and GPU advancement are changing the landscape of chip design.  In this internship, you will gain a broad perspective across areas including EDA algorithms and software, machine learning, and VLSI chip design methodology.
  • Specific areas of research interest include but are not limited to applications of supervised learning, unsupervised learning, reinforcement learning and GPU acceleration to EDA algorithms.


  • Pursuing a PhD in Electrical Engineering, Computer Engineering, or related field
  • Publication record in leading EDA or ML conferences on DL for EDA or GPU accelerated EDA.
  • Strong knowledge in one or more EDA/VLSI fields and deep learning
  • Excellent programming skills in two of Python/PyTorch/C++/CUDA.
  • Ability to work independently.
  • Ways to Stand Out from the Crowd:
  • Strong publication records.

Education requirements

Currently Studying

Area of Responsibilities

Research & Development
Software Engineering


  • Apply deep learning and GPU acceleration to EDA software and ASIC and VLSI design tool flows.
  • Research and develop creative and innovative EDA software and algorithms.
  • Collaborate with circuits, VLSI, and architecture team members in research and product teams.
  • Publish and present your original research, speak at conferences and events Collaborate with external researchers and a diverse set of internal product teams.


Work type

Part time

Work mode



San Francisco, Austin