Software Engineer II
Job description
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
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 is a pivotal leader in electronics and system design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the worldโs most innovative companies, delivering extraordinary electronic products from chips to boards to complete systems for the most dynamic market applications, including hyperscale computing, 5G communications, automotive, mobile, aerospace, consumer, industrial and healthcare. For eight years in a row, Fortune magazine has named Cadence one of the 100 Best Companies to Work For.