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
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Cadence enables electronic systems and semiconductor companies to create the innovative end products that are transforming the way people live, work and play. Cadence® software, hardware and IP are used by customers to deliver products to market faster. The company's Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to intelligent systems—in mobile, consumer, cloud, data center, automotive, aerospace, IoT, industrial and other market segments. Cadence is listed as one of Fortune Magazine's 100 Best Companies to Work For.
