CAREER

The candidate will work on the implementation of Python modules to optimize Convolutional Neural Networks (CNNs) on the graph level. She/he will also provide reliable tests to assure the Quality and Maturity of optimization toolsYou will work closely with the University research department team + AI SDK Python developers to plan and develop the right solutions. The ideal candidate should be familiar with Python, C/C++, CI/CD, test-driven development, Deep Learning, and TensorFlow/Keras. The candidate will gain great experience in Python programming and algorithms on Graph Level optimizations. In addition, she/he will get in touch with Docker containerization, Continuous Development / Deployment, and Agile methodologies

About Applied Materials

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.