Cadence
Primary responsibilities include designing gradient based and gradient free optimization algorithms, researching and developing Machine Learning approaches to problems in the EDA and system design, as well as designing, implementing, verifying and maintaining software to address those markets. The ability to interact with a worldwide cross-functional team and collaborate productively is a necessity. A strong software engineering background is mandatory with emphasis on C/C++, Python, Linux-based development and ML/DL frameworks like Sci-kit learn and Tensorflow/Keras.
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