Cadence has a 25 year history of applying leading edge optimization and analysis algorithms to extremely complex problems in semiconductor and electronic design, verification, and analysis. The Cadence Virtuoso group is forming a team to explore the application of Deep and Machine Learning techniques to Electronic Design Automation [EDA] tools, as well as the application of EDA/Computer-Aided Design algorithms to Deep Learning software.


You will collaborate with our team to define your research project, investigate techniques and tools, and work towards working prototypes. Join us to drive research in this exciting area.



A full-time student pursuing a MS/PhD in some combination of machine learning, data science, computer science, or engineering
Experience with software development in C/C++ and Python
Experience with existing Deep Learning Frameworks such as Tensorflow, Caffe, Theano, Torch, etc.
Some familiarity with fundamental machine learning techniques such as classification, regression, clustering

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