AI CAD Engineer
Emeryville, Alameda County, California, 94608, USA
Listed on 2026-01-03
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Engineering
Engineering Design & Technologists, CAD/ AutoCAD/ Mechanical Design
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 referring to the compensation band below, keep in mind that it can vary depending on the candidate’s experience and level. While this posting is for a Staff level, we will consider strong Senior candidates who are excited to grow into a broader leadership or architectural 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.
- 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, Solid Works 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., Open Cascade, 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
$220,000 - $260,000 USD
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