Intern, Tool-Augmented LLMs for CAD/BREP 3D Object Generation

Autodesk is a company that creates innovative software for a variety of industries. The intern will join the AI and geometric modeling research team to enhance large language models for generating 3D CAD/BREP objects, focusing on integrating LLMs with geometry kernels and developing pipelines for design generation and refinement.

Responsibilities

• Investigate how LLMs can interface with CAD geometry kernels (e.g., OpenCascade) to generate valid BREP and parametric 3D models
• Develop tool-augmented reasoning pipelines that enable LLMs to call geometry APIs, validate shapes, and repair or refine generated models
• Explore retrieval-augmented generation (RAG) using prior CAD models, part libraries, or design templates
• Implement iterative refinement and adaptive test-time compute methods to enforce geometric, functional, or manufacturing constraints
• Evaluate generative outputs across metrics such as accuracy, validity, manufacturability, and similarity to relevant design priors
• Prototype end-to-end workflows for turning natural-language descriptions into CAD/BREP objects using LLMs + external tools
• Document research findings and develop actionable recommendations for integrating LLM-generated CAD designs into downstream engineering workflows

Skills

• Currently pursuing a Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Geometry, or a related field
• Strong understanding of deep learning and/or LLMs, with experience in model prompting, fine-tuning, or tool augmentation
• Experience with Python, and familiarity with geometry processing, CAD APIs, or libraries such as OpenCascade, or similar
• Knowledge of RAG, multi-step reasoning, or program-synthesis-style workflows is a strong asset
• Strong problem-solving skills and interest in applying generative AI to real CAD/engineering settings
• Ability to work with structured geometric data formats (e.g., BREP, STEP, parametric constraints)

Benefits

• Paid
• Meaningful projects
• Mentored by industry leaders
• Participate in tech talks and other activities designed to support your personal and professional development
• Flexible Workplace approach

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