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

Job Requisition ID #

25WD

Position Overview
The intern will join our AI and geometric modeling research team to explore how large language models (LLMs) can be enhanced with tool-augmented reasoning for generating high-quality 3D CAD/BREP objects. Reporting to a senior ML/geometry engineer, this role focuses on integrating LLMs with geometry kernels (e.g., OpenCascade) to produce valid parametric designs, leveraging retrieval-augmented generation (RAG) for design reuse, and developing iterative refinement strategies to ensure manufacturability and geometric correctness. The intern will work at the intersection of generative AI, computational geometry, and CAD automation.

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
  

Minimum Qualifications

• 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
• Ability to work with structured geometric data formats (e.g., BREP, STEP, parametric constraints) is preferred
• Strong problem-solving skills and interest in applying generative AI to real CAD/engineering settings

About the Canada Intern Program

The 2026 Canada Internship program runs for 16 weeks (May 4th – August 21st). All internships are paid. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development. Our internships align with Autodesk's Flexible Workplace approach, which is designed to meet the needs of our business while providing flexibility in support of office, remote and hybrid work preferences.

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Insurance: Health/Dental/Vision/Life Work - Life Balance Paid volunteer time off 6 week paid sabbatical every 4 years Employee Resource Groups A "week of rest" at year's end

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