Graduate Student Intern - Software Engineering

Cadence Design Systems • Austin, TX

4d

About The Position

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world’s toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.

Requirements

• 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

Nice To Haves

• 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

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

What This Job Offers

• Career Level: Intern