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. You will be part of a cross-disciplinary R&D team working on the emerging boundary of scientific computing and machine learning/AI, with specific emphasis in the analog electronic circuit analysis area. The candidate should have an advanced degree in computer science / electrical engineering and the following preferred skills:

• Experience in software design/development/deployment with application in ML or other data-intensive applications.
• Demonstrated programming proficiency in Python and C++.
• Experience and demonstrated proficiency with machine learning frameworks such as PyTorch, TensorFlow, Keras.
• Strong computer science background is a plus.
• Working knowledge of contemporary methods in deep learning/AI (LLMs, graph neural networks, transformer architectures, CNNs, reinforcement and transfer learning, etc.).
• Demonstrated ability to reduce algorithms and theoretical knowledge to practice.
• Exposure to physics-informed machine learning algorithms e.g. physics-informed neural networks, neural operator methods, is a plus.
• Exposure to one or more application areas in scientific computing (computational electromagnetics, fluid dynamics, molecular dynamics, thermal analysis, electrical circuit simulation) is a plus.