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About the Role
Develop AI models for electrothermal, electromagnetic, and structural simulations. This role combines research in deep learning with practical product integration to improve simulation accuracy and performance in complex physics scenarios.
Responsibilities
- Develop AI models for electrothermal, electromagnetic, and structural simulations.
- Monitor emerging AI technologies and research directions.
- Lead research on the generalization and interpretability of large models in complex physics scenarios.
- Integrate advances into products to improve simulation accuracy and performance.
Requirements
- Strong intellectual curiosity in artificial intelligence and up-to-date knowledge of advances in deep learning, including large language models and generative models.
- Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
- Familiarity with autoencoders, Transformers, Fourier neural operators, and diffusion models.
- Experience in semiconductor chip design or 3D-IC technologies is preferred.
- Excellent programming skills in Python and C/C++.
- Publications in leading AI, computational science, or engineering conferences and journals are preferred.
Skills
- Deep learning
- Large language models
- Generative models
- PyTorch
- TensorFlow
- Autoencoders
- Transformers
- Fourier neural operators
- Diffusion models
- Python
- C/C++
Experience Level
- At least 3 years of relevant experience
Education Level
- MS or PhD in a related field
About the Company
- At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
- We’re doing work that matters. Help us solve what others can’t.