AI CAD Engineer

About The Role

As a CAD Automation Engineer, you will have the opportunity to lead, innovate, and shape our CAD/automation workflows by developing generative and programmatic CAD pipelines that transform design specifications into manufacturable micro-device assemblies. You’ll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems that automatically explore, assemble, and optimize designs from a library of components. You will join a tight cross-functional team dedicated to pushing the limits of micro-manufacturing and computational design.

This position is onsite in our Emeryville, CA office, with openness to an occasional work-from-home arrangement when needed.

When referencing the compensation band below, please note that it may vary based on a candidate’s experience and level. This role is not tied to a single level and may span earlier-in-career through senior-level candidates (L4–L6). Final leveling will be determined during the interview process. We are open to strong earlier-career candidates who are excited to grow into broader technical leadership or architectural responsibility over time.

What You’ll Do

• Build CAD workflows that programmatically construct, modify, and evaluate 3D assemblies. This includes:
• Making and parameterizing 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.

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 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.

Salary Range: $210,000 - $260,000 USD