The ideal candidate will bring experience in learning with 3D geometric data (point clouds, meshes, SDFs) and a strong understanding of how these models integrate with or inform CAD-based design systems. Familiarity with approaches that bridge neural models and CAD representations—such as LLMs for CAD code or geometry-to-code systems (e.g., CAD-Recode)—is a plus, though not required.