At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Responsibilities
- Explore and apply AI/ML techniques, including Graph Neural Networks (GNNs), to graph- or mesh-structured engineering data
- Assist in developing AI-driven approaches for engineering and physics-based applications, such as thermal and structural simulation
- Work with researchers and engineers to prototype, test, and evaluate AI models in simulation workflows
- Analyze experimental results and help improve model accuracy and performance
- Contribute to technical discussions, documentation, and research or prototype code
Basic Qualifications
- Currently pursuing a Master’s degree or PhD in Computer Science, Engineering, or a related field
- Strong foundation in data structures and algorithms
- Programming experience in C/C++ and Python
- Familiarity with basic software development practices (debugging, version control)
- Strong collaboration skills, curiosity, and motivation to learn
Preferred Qualifications
- Familiar with mesh-based data structures or graph representations
- Coursework or project experience related to AI/ML
- Experience using GNNs for mesh- or graph-based engineering and simulation problems
- Exposure to EDA, CAD/CAE, or other simulation-based domains
- Interest in performance optimization, parallel computing, or GPU acceleration
- Experience with ML frameworks (e.g., PyTorch, TensorFlow) is a plus
We’re doing work that matters. Help us solve what others can’t.