Sr Principal Software Engineer
- Austin, United States
- Lead/Staff
- 3+ years
- Master's degree
- Posted
Skills
Required
- artificial intelligence
- deep learning
- large language models
- generative models
- deep learning frameworks
- PyTorch / TensorFlow
- autoencoders
- Transformers
- Fourier neural operators
- diffusion models
- programming
- Python
- C/C++
Preferred
- semiconductor chip design / 3D-IC
- AI models
- electrothermal
- electromagnetic, and structural simulations
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
About Cadence
Help us solve what others can’t.
Responsibilities
- We are seeking a Software Engineer to 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.
- 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, and 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, and familiarity with autoencoders, Transformers, Fourier neural operators, and diffusion models.
- Excellent programming skills in Python and C/C++.
- Publications in leading AI, computational science, or engineering conferences and journals are preferred.
- MS or PhD in a related field and at least 3 years of relevant experience are required.
- We’re doing work that matters.
Preferred
- Experience in semiconductor chip design or 3D-IC technologies is preferred.
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