Scientific Computing Engineer

1 week ago

Port Moody, British Columbia, Canada Cadence Design Systems, Inc. Full time

Cadence Design Systems, Inc. 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.

The ideal candidate should have an advanced degree in computer science/electrical engineering and the following preferred skills:

  • Working knowledge of contemporary methods in deep learning/AI (LLMs, graph neural networks, transformer architectures, CNNs, reinforcement learning, representation learning, transfer learning, etc.)
  • Demonstrated programming proficiency in Python and C++
  • Experience and demonstrated proficiency with machine learning frameworks such as PyTorch and TensorFlow
  • Demonstrated ability to reduce algorithms and theoretical knowledge to practice
  • Experience in physical-level scientific computation (computational electromagnetics, thermal analysis, electrical circuit simulation, photonic systems) is a plus
  • Knowledge of statistical inference techniques (significance testing, Monte Carlo methods, random sampling, density estimation, design of experiments, Bayesian statistics) is a plus
  • Familiarity with recent research trends in physics-informed machine learning, e.g. physics-informed neural networks, neural operator theory, DeepONets is a plus
  • Past experience with optimization algorithms 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.

We're doing work that matters. Help us solve what others can't.

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