Graduate Student Intern - Software Engineering
Cadence Design SystemsResponsibilities
- Apply AI/ML techniques, including LLMs, generative AI, and GNNs, to geometry, mesh, and graph-structured engineering data.
- Research and develop AI-driven methods for geometry modeling, mesh generation, and topology optimization workflows.
- Prototype and evaluate AI-assisted geometry creation and simulation model preparation methods.
- Integrate AI technologies into engineering and physics-based applications, including thermal and structural simulation.
- Analyze experimental results and improve the quality, robustness, and performance of AI-generated geometry and mesh models.
- Investigate AI automation methods to reduce manual modeling effort and accelerate design and simulation workflows.
- Contribute to technical discussions, documentation, research reports, and prototype software development.
Requirements
- Currently pursuing a master’s degree or PhD in computer science, engineering, applied mathematics, or a related field.
- Strong foundation in data structures, algorithms, and software engineering principles.
- Programming experience in C/C++ and Python.
- Familiarity with debugging, testing, and version control practices.
- Strong analytical, problem-solving, collaboration, and communication skills.
- Preferred: experience with AI/ML, deep learning, LLMs, generative AI, or GNNs.
- Preferred: familiarity with geometric modeling, mesh generation, retopology, computational geometry, or graph-based representations.
- Preferred: coursework or research in computer graphics, computer-aided engineering, scientific computing, or simulation.
- Preferred: exposure to CAD, CAE, EDA, or simulation-driven design applications.
- Preferred: interest in topology optimization, geometry processing, performance optimization, parallel computing, or GPU acceleration.
- Preferred: experience with machine learning frameworks such as PyTorch or TensorFlow.
About Cadence Design Systems
Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Our design solutions, based on Cadence’s Intelligent System Design™ strategy, are essential for the world’s leading semiconductor and systems companies to build their next-generation products from chips to full electromechanical systems that serve a wide range of markets, including hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences and robotics. In 2024, Cadence was recognized by the Wall Street Journal as one of the world’s top 100 best-managed companies. Cadence solutions offer limitless opportunities—learn more at www.cadence.com.