The Role
Intern will explore AI/ML techniques for engineering data, develop AI-driven approaches, prototype and test AI models, and participate in technical discussions.
Summary Generated by Built In
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.We’re doing work that matters. Help us solve what others can’t.
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
Top Skills
Ai/Ml
C/C++
Gnns
Python
PyTorch
TensorFlow
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The Company
What We Do
Cadence enables electronic systems and semiconductor companies to create the innovative end products that are transforming the way people live, work and play. Cadence® software, hardware and IP are used by customers to deliver products to market faster. The company's Intelligent System Design strategy helps customers develop differentiated products—from chips to boards to intelligent systems—in mobile, consumer, cloud, data center, automotive, aerospace, IoT, industrial and other market segments. Cadence is listed as one of Fortune Magazine's 100 Best Companies to Work For.
