Graduate Student Intern - Software Engineering

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.

Client-provided location(s): Austin, TX

Job ID: Cadence-R53213

Employment Type: INTERN

Posted: 2026-02-13T18:41:43