AI CAD Engineer

Build CAD workflows that programmatically construct, modify, and evaluate 3D assemblies. This includes: Manipulating and parametrizing CAD models to support iterative design and optimization. Integrating with CAD APIs to move beyond GUI-based workflows, enabling high-throughput automated modeling and simulation. Developing geometric intelligence — algorithms that infer how parts mate, fit, and interact to form functional assemblies.

Manipulating and parametrizing CAD models to support iterative design and optimization.

Integrating with CAD APIs to move beyond GUI-based workflows, enabling high-throughput automated modeling and simulation.

Developing geometric intelligence — algorithms that infer how parts mate, fit, and interact to form functional assemblies.

Create and maintain a library of parametric components for generative design exploration.

Develop GenAI-driven workflows for CAD generation and automated design exploration.

Required

Deep expertise in CAD manipulation and parametrization, including scripting and automation (e.g., with Onshape API, SolidWorks API, Fusion API, or similar).

Strong background in programmatic CAD workflows.

Knowledge of AI-based CAD generation or generative design algorithms.

Deep understanding of CAD interoperability standards (STEP, IGES, JT, or similar).

Proficiency in interacting with CAD software via APIs (Python, C++, or other relevant languages).

Experience in parsing large sets of CAD models with product and manufacturing information to create batchable datasets for training.

Bachelor’s or Master’s or PhD degree in Mechanical Engineering, Aerospace Engineering, Computational Design, Computer Science, or a related field.

For Staff level, 10+ years of industrial experience (post Bachelor’s), or 8+ years of industrial experience (post Master’s) or 5+ years of industrial experience (post PhD), with the option of relaxing these requirements for a Senior level position.

Nice to have

Experience with geometric modeling kernels (e.g., OpenCascade, Parasolid).

Experience in mastering NURBS and B-Rep.

Experience with meshing, especially for simulation or manufacturing purposes.

Experience with Model-Based Definitions.

Bonus Points For

Experience with implicit geometric representations.

Experience with simulation-in-the-loop design, shape optimization, or topology optimization workflows.

The compensation for this position also includes equity and benefits.