Scientific Computing Engineer

4 days ago


San Jose, California, United States Cadence Design Systems, Inc. Full time
About the Role

Cadence Design Systems, Inc. is a world leader in providing computational software for intelligent system design. We're seeking a talented Scientific Computing Engineer to join our cross-disciplinary R&D team, working on the emerging boundary of scientific computing and machine learning/AI, with a focus on analog electronic circuit analysis.

Key Responsibilities
  • Design and develop software applications in ML or other data-intensive areas, leveraging expertise in Python and C++.
  • Collaborate with a cross-functional engineering team to perform cutting-edge research and deliver innovative technologies in a production environment.
  • Develop and apply machine learning frameworks such as PyTorch, TensorFlow, and Keras to solve complex problems.
  • Stay up-to-date with contemporary methods in deep learning/AI, including LLMs, graph neural networks, and transformer architectures.
  • Reduce algorithms and theoretical knowledge to practice, driving innovation and excellence in scientific computing.
Requirements
  • 4+ years of experience in software design/development/deployment with application in ML or other data-intensive areas.
  • Demonstrated programming proficiency in Python and C++.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, and Keras.
  • Strong computer science background and knowledge of contemporary methods in deep learning/AI.
What We Offer

Cadence Design Systems, Inc. offers a dynamic work environment, opportunities for growth and development, and a chance to make a meaningful impact on the world of technology. If you're passionate about scientific computing and machine learning, we encourage you to apply for this exciting opportunity.



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