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Scientific Computing Engineer
2 months ago
About Cadence Design Systems, Inc.
Cadence Design Systems, Inc. is a world leader in providing computational software for all aspects of intelligent system design.
Job Summary
We are seeking a highly skilled Scientific Computing Engineer to join our cross-disciplinary R&D team working on the emerging boundary of scientific computing and machine learning/AI.
Key Responsibilities
- Develop and implement cutting-edge algorithms and techniques in deep learning/AI, including LLMs, graph neural networks, transformer architectures, CNNs, reinforcement learning, representation learning, transfer learning, etc.
- Design and develop high-performance computational software using Python and C++ programming languages.
- Collaborate with machine learning frameworks such as PyTorch and TensorFlow to develop and deploy AI models.
- Reduce complex algorithms and theoretical knowledge to practical implementation.
- Work with physical-level scientific computation, including computational electromagnetics, thermal analysis, electrical circuit simulation, photonic systems.
- Apply statistical inference techniques, including significance testing, Monte Carlo methods, random sampling, density estimation, design of experiments, Bayesian statistics.
- Stay up-to-date with recent research trends in physics-informed machine learning, including physics-informed neural networks, neural operator theory, DeepONets.
- Apply optimization algorithms to improve model performance.
About the Team
You will be part of a cross-functional engineering team working on cutting-edge research and delivering innovative technologies in a production environment.
What We Offer
We're doing work that matters. Help us solve what others can't.
