Graduate AI/ML Software Engineer Intern - Geometry & CAE

Cadence Design Systems, Inc.; Austin (TX); In loco; USD 85.000 - 120.000; Tempo pieno

Descrizione del lavoro

Cadence Design Systems, Inc. in Austin, TX is seeking a motivated graduate student or researcher to explore AI/ML techniques for geometry, mesh, and graph-structured data.

You will prototype AI-assisted methods for geometry creation, topology optimization, and simulation model preparation, collaborating with researchers and engineers to integrate AI into engineering workflows. The role emphasizes strong fundamentals in data structures and algorithms, C/C++ and Python, debugging and testing, and

Competenze

• 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.

Mansioni

• 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.

Conoscenze

C/C++

Python

Data structures

Algorithms

Software engineering

Debugging

Testing

Version control

Collaboration

Communication

AI techniques

Formazione

Master's degree or PhD in Computer Science, Engineering, Applied Mathematics or related field

Strumenti

PyTorch

TensorFlow

Descrizione del lavoro

Cadence Design Systems, Inc. in Austin, TX is seeking a motivated graduate student or researcher to explore AI/ML techniques for geometry, mesh, and graph-structured data.

You will prototype AI-assisted methods for geometry creation, topology optimization, and simulation model preparation, collaborating with researchers and engineers to integrate AI into engineering workflows. The role emphasizes strong fundamentals in data structures and algorithms, C/C++ and Python, debugging and testing, and