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 :
4+ years 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.
Candidate should expect to work with a cross-functional engineering team to perform cutting-edge research but ultimately deliver innovative technologies in a production environment.
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