Staff CAD Automation Engineer

About The Role:

What You’ll Do:

• 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.
  
  
  
  


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


• Collaborate across teams to integrate CAD generation with meshing, simulation, and manufacturing pipelines.


• Support the development of workflows for shape and topology optimization, simulation-in-the-loop environments, and generative CAD approaches

What You’ll Need:

• 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 generative or programmatic CAD workflows.


• Deep understanding of CAD standards and familiarity with CAD tools interoperability.


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


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


• Experience in mastering NURBS and B-Rep.


• Broad familiarity with geometric modeling concepts.


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


• 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).

Desired:

• Experience with meshing, especially for simulation or manufacturing purposes.


• Experience with implicit geometric representations (e.g., signed distance functions, constructive solid geometry, and blending).


• Experience with Model-Based Definitions.

Bonus Points For:

• Familiarity with AI-based CAD generation or generative design algorithms.


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


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


• Background in digital fabrication.