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

Bachelor’s or higher 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.