Graduate Student Intern - Software Engineering

Job Title

Graduate Student Intern - Software Engineering

Role Summary

Graduate-level software engineering internship focused on applying AI/ML to geometry, mesh, and graph-structured engineering data. Work with researchers and engineers to prototype AI-driven geometry modeling, mesh generation, and simulation-preparation tools that integrate into physics-based workflows.

Experience Level

Entry-level (graduate student). Role is intended for current Master's or PhD students; no specific professional years required.

Responsibilities

Key responsibilities include research, prototyping, and integration of AI into engineering workflows.

• Explore and apply AI/ML techniques (LLMs, GenAI, GNNs) to geometry, mesh, and graph-structured data.
• Research and develop AI-driven approaches for geometry modeling, mesh generation, and topology optimization.
• Prototype and evaluate AI-assisted methods for automating geometry creation and simulation model preparation.
• Integrate AI technologies into engineering and physics-based applications (e.g., thermal and structural simulation) in collaboration with engineering teams.
• Analyze experiments and improve quality, robustness, and performance of AI-generated geometry and mesh models.
• Investigate techniques to reduce manual modeling effort and accelerate design/simulation workflows through automation.
• Contribute to technical discussions, documentation, research reports, and prototype software.

Requirements

Must-have technical skills and attributes for successful candidates.

• Strong foundation in data structures, algorithms, and software engineering principles.
• Programming experience in C/C++ and Python.
• Familiarity with software development practices: debugging, testing, and version control.
• Strong analytical and problem-solving skills; ability to collaborate and communicate technical results.
• Curiosity and enthusiasm for applying AI to engineering problems.

Nice-to-have:

• Experience with AI/ML (deep learning, LLMs, GenAI, or GNNs) and ML frameworks such as PyTorch or TensorFlow.
• Familiarity with geometric modeling, mesh generation, retopology, computational geometry, or graph-based representations.
• Coursework or research in computer graphics, CAE, scientific computing, or simulation; exposure to CAD/CAE/EDA or simulation-driven design.
• Interest or experience in topology optimization, performance optimization, parallel computing, or GPU acceleration.

Education Requirements

Currently pursuing a Master's degree or PhD in Computer Science, Engineering, Applied Mathematics, or a related technical field (graduate enrollment required).

About the Company

Company: Cadence Design Systems

Headquarters: San Jose, California, USA

Cadence Design Systems is a global electronic design automation company that provides software, hardware, and intellectual property for designing advanced semiconductor chips. With over 25 years in the industry, Cadence is known for its innovative technology solutions and has been recognized by Fortune Magazine as one of the 100 Best Companies to Work For. The company is dedicated to solving complex technical challenges in order to enable customers to create revolutionary products and experiences.