AI-Driven Geometry & Simulation Intern

Cadence Design Systems; Austin (TX); Hybrid; USD 25,000 - 34,000; Part time

Job summary

Cadence Design Systems in Austin is seeking a Graduate Student Intern in Software Engineering to explore AI/ML techniques, including LLMs, GenAI, and GNNs, applied to geometry, mesh, and graph data. You will prototype AI-assisted methods to automate geometry creation and simulation prep.

You will work with researchers and engineers to integrate AI into engineering applications such as CAE, thermal, and structural simulations, assessing results and improving robustness and performance.

Qualifications

• Pursuing a Master's or PhD in CS, Engineering, Applied Mathematics, or related field.
• Strong foundation in data structures, algorithms, and software engineering.
• Programming experience in C/C++ and Python.
• Familiarity with debugging, testing, and version control.

Responsibilities

• Explore and apply AI/ML techniques to geometry, mesh, and graph-structured data.
• Prototype and evaluate AI-assisted methods for automating geometry creation and simulation model preparation.
• Collaborate with researchers to integrate AI into engineering and physics-based applications.
• Analyze results and improve robustness and performance of AI-generated models.

Skills

C/C++

Python

Data structures

Algorithms

Version control

Debugging

Testing

Collaboration

Communication

Education

Master's or PhD in CS/Engineering/Applied Math

Tools

PyTorch

TensorFlow

Job description

Cadence Design Systems in Austin is seeking a Graduate Student Intern in Software Engineering to explore AI/ML techniques, including LLMs, GenAI, and GNNs, applied to geometry, mesh, and graph data. You will prototype AI-assisted methods to automate geometry creation and simulation prep.

You will work with researchers and engineers to integrate AI into engineering applications such as CAE, thermal, and structural simulations, assessing results and improving robustness and performance.