Software Architect
Software Architect
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Job Description
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. Your role will be to bring machine learning/AI expertise to a cross-disciplinary R&D team working on the emerging boundary of scientific computing and machine learning/AI. The candidate should have a PhD in computer science / applied mathematics / computational physics / electrical engineering and the following preferred skills:
- Demonstrated expertise in theory and practice of neural networks / deep learning with working knowledge of contemporary topics (graph neural networks attention mechanisms transformer networks reinforcement and transfer learning etc.)
- Facility with classical methods of statistical inference
- Demonstrated ability to reduce algorithms and theoretical knowledge to practice and produce innovative research results
- Demonstrated programming proficiency in Python/C.
- Familiarity with machine learning frameworks such as PyTorch TensorFlow Julia.
- Strong computer science background 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.
- Exposure to one or more application areas in scientific computing (computational electromagnetics fluid dynamics molecular dynamics thermal analysis electrical circuit simulation) and/or computational physics 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.
Were doing work that matters. Help us solve what others cant.
Employment Type
Full-Time
