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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
What you will be doing:
NVIDIA Design Automation research group is seeking research scientists 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 position, you will conduct original research across broad technical 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.
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.
What we need to see:
PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field. (open for PhD New College Graduate)
Strong 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 ofPython/PyTorch/C++/CUDA.
Ability to work independently.
Ways to stand out from the crowd:
Publishing record on top AI conferences
High impact open-source tools developer
Strong communication skills. Creative and dynamic presenter.
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