Software Engineer II

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence Design Systems is a world leader in providing computational software for all aspects of intelligent system design. Your role will be to bring machine learning/AI expertise to a cross-disciplinary R&D team working on the emerging boundary of scientific computing and machine learning/AI.

Requirements

• PhD in computer science / applied mathematics / computational physics / electrical engineering
• Demonstrated expertise in theory and practice of neural networks / deep learning
• Facility with classical methods of statistical inference
• Programming proficiency in Python/C++
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Julia
• Strong computer science background
• Familiarity with recent research trends in physics-informed machine learning
• Exposure to one or more application areas in scientific computing and/or computational physics