AI-Driven Geometry & Simulation Intern

Cadence Design Systems; Austin, Northern (TX, KY); Hybrid; USD 34,000 - 48,000; Part time

Job summary

Cadence Design Systems is seeking a candidate pursuing a Master’s or PhD to explore and apply AI/ML techniques for geometry, mesh, and topology workflows. You will prototype AI-assisted methods for geometry creation and simulation prep, and collaborate with researchers to integrate AI into engineering applications.

The role emphasizes strong foundations in CS/engineering, programming in C/C++ and Python, and curiosity about applying AI to engineering problems.

Qualifications

• Pursuing a Master’s degree or PhD in CS, Engineering, Applied Math, or related field.
• Strong fundamentals in data structures, algorithms, and software engineering.
• Programming experience in C/C++ and Python.
• Familiarity with debugging, testing, and version control.
• Strong analytical and communication skills; collaborative mindset.
• Interest in applying AI to engineering problems.

Responsibilities

• Explore and apply AI/ML techniques (LLMs, GenAI, GNNs) to engineering data.
• Research AI-driven geometry modeling, mesh generation, and topology workflows.
• Prototype AI-assisted methods for geometry creation and simulation prep.
• Collaborate with researchers to integrate AI into engineering applications.
• Analyze results and improve the quality and performance of AI-generated models.
• Investigate AI-automation to reduce manual modeling and speed up workflows.
• Contribute to technical docs, reports, and prototype software.

Skills

C/C++

Python

Algorithms

Data structures

Education

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

Tools

PyTorch

TensorFlow

GPU acceleration

Job description

Cadence Design Systems is seeking a candidate pursuing a Master’s or PhD to explore and apply AI/ML techniques for geometry, mesh, and topology workflows. You will prototype AI-assisted methods for geometry creation and simulation prep, and collaborate with researchers to integrate AI into engineering applications.

The role emphasizes strong foundations in CS/engineering, programming in C/C++ and Python, and curiosity about applying AI to engineering problems.