Senior Principal AI Engineer: Physics Simulation & DL

Cadence; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Cadence is seeking a Software Engineer to develop AI models for electrothermal, electromagnetic, and structural simulations, combining research in deep learning with practical product integration to improve simulation accuracy and performance in complex physics scenarios.

The role focuses on building AI models, monitoring emerging AI technologies, and leading research on generalization and interpretability of large models, then translating advances into Cadence products.

Qualifications

• 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.
• 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.

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, and integrate advances into products to improve simulation accuracy and performance.

Skills

AI research

Deep learning concepts

Problem solving

Education

MS or PhD in a related field

Tools

PyTorch

TensorFlow

Autoencoders

Transformers

Fourier neural operators

Diffusion models

Job description

Cadence is seeking a Software Engineer to develop AI models for electrothermal, electromagnetic, and structural simulations, combining research in deep learning with practical product integration to improve simulation accuracy and performance in complex physics scenarios.

The role focuses on building AI models, monitoring emerging AI technologies, and leading research on generalization and interpretability of large models, then translating advances into Cadence products.