Sr Principal Software Engineer
AUSTINPosted Nov 2, 2026
Overview
- Added in 30 days
- 692
- At this company, still open
Skills named in this posting
- C
- C++
- Python
- PyTorch / TensorFlow
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
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.
• Key ResponsibilitiesDevelop 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.
• QualificationsStrong 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.
• Education and Experience
MS or PhD in a related field and at least 3 years of relevant experience are required.
We’re doing work that matters. Help us solve what others can’t.
Apply on the employer's site
Original posting: cadence.wd1.myworkdayjobs.com
RISC-V ecosystem
Cadence Design Systems, Inc. in the RISC-V ecosystem
RISC-V International: Strategic
Cadence is a leading provider of EDA and semiconductor IP.
- EDA vendor active in RISC-V: supported NSITEXE (with Imperas) in developing RISC-V vector processor IP for automotive AI
- Publishes RISC-V ecosystem commentary ("The State of the RISC-V Union", Paul McLellan) and RISC-V verification/emulation flows
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