Software Engineer (Machine Learning)

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

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 Digital and Signoff  Group Machine learning team is a high energy team which explores and implements Deep and Machine Learning techniques to Electronic Design Automation [EDA] tools. We are looking for exceptional individuals skilled in ML and Deep-Learning algorithms, frameworks and application development. In addition, we desire a team player with excellent communication skills who is as comfortable discussing Deep Learning research as with developing APIs to innovative new software.

Primary responsibilities include 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.

Graduate school or work experience with advanced Machine Learning techniques and algorithms in the area of VLSI CAD is highly desirable

Position Requirements: 

MS in CS/EECS or higher