AI CAD Engineer

Atomic Machines•Emeryville, CA

55d•$220,000 - $260,000•Onsite

About The Position

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. This posting is not associated with a specific level, but it spans Junior, Senior, and Staff levels, i.e. L4 to L6. The level will be defined upon application. We will consider strong Junior candidates who are excited to grow into a broader leadership or architectural role.

Requirements

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 Haves

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.

Responsibilities

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.