Graduate Student Intern - Software Engineering

Cadence Design Systems; Austin (TX); Híbrido; USD 25.000 - 34.000; A tiempo parcial

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

C/C++

Python

Data structures

Algorithms

Version control

Debugging

Testing

Collaboration

Communication

Educación

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

Herramientas

PyTorch

TensorFlow

Descripción del empleo

## Graduate Student Intern - Software EngineeringApply: AUSTIN: Part time: Posted Yesterday: R56405## **At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.**Responsibilities* Explore and apply AI/ML techniques, including Large Language Models (LLMs), generative AI (GenAI), and Graph Neural Networks (GNNs), to geometry, mesh, and graph-structured engineering data.* Research and develop AI-driven approaches for geometry modeling, mesh generation, and topology optimization workflows.* Prototype and evaluate AI-assisted methods for automating geometry creation and simulation model preparation.* Work with researchers and engineers to 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 methods to reduce manual modeling effort and accelerate design and simulation workflows through AI automation.* Contribute to technical discussions, documentation, research reports, and prototype software development. Basic Qualifications* 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 software development practices, including debugging, testing, and version control.* Strong analytical, problem-solving, collaboration, and communication skills.* Curiosity and enthusiasm for applying AI technologies to engineering problems. Preferred Qualifications* Experience with AI/ML, including deep learning, LLMs, GenAI, or GNNs.* Familiarity with geometric modeling, mesh generation, retopology, computational geometry, or graph-based representations.* Coursework or research experience in computer graphics, computer-aided engineering (CAE), scientific computing, or simulation.* Exposure to CAD, CAE, EDA, or simulation-driven design applications.* Interest in topology optimization, geometry processing, performance optimization, parallel computing, or GPU acceleration.* Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar tools.