Generative AI CAD Engineer
Atomicmachines · Emeryville, California
About this role
## Atomic Machines — Generative AI CAD Engineer ### About the role As a **Generative AI CAD Engineer**, you’ll shape CAD/automation workflows by developing **generative and programmatic CAD pipelines** that transform design specifications into **manufacturable micro-device assemblies**. You’ll collaborate with **AI, Modeling & Simulation, and Design** engineers to build systems that **automatically explore, assemble, and optimize** designs from a **library of components**. This role is **onsite** in our **Emeryville, CA** office, with openness to an **occasional work-from-home** arrangement when needed. ### What you’ll do - Develop **GenAI-driven workflows** for CAD generation and **automated design exploration** - Build CAD workflows that **programmatically construct, modify, and evaluate 3D assemblies** - Create and maintain a **library of parametric components** for generative design exploration and training - Curate and parse large sets of CAD models (including **product, manufacturing, and tolerance** info) into **standardized APIs** and **batchable datasets** for training generative models ### What you’ll need **Required** - Knowledge of **AI-based CAD generation**, generative models for 3D geometry, or generative design algorithms (via coursework, research, publications, or substantial projects) - Proficiency interacting with CAD/geometry tooling via **APIs** (e.g., **Python, Rust**, or other relevant languages) - Familiarity with CAD interoperability standards: **STEP, IGES, JT, GLTF**, or similar - Experience with **NURBS** and **B-Rep** - **BS/MS/PhD** in Computer Science, Machine Learning, Computational Design, Mechanical Engineering, Aerospace Engineering, Applied Math, or related field (recent graduates welcome) **Nice to have** - Strong background in **programmatic CAD workflows** (e.g., Onshape API, SolidWorks API, Fusion API, CadQuery, Build123d, FreeCAD, etc.) - Experience with **CAD manipulation and parametrization**, including scripting and automation - Experience with geometric modeling kernels (e.g., **OpenCascade, Parasolid**) - Experience with implicit geometric representations (e.g., **SDFs, neural fields, occupancy networks**) - Experience with **meshing** (for simulation or manufacturing) - Experience with **Model-Based Definitions** - Experience with **simulation-in-the-loop** design, shape optimization, or topology optimization workflows - Contributions to open-source CAD, geometry, or 3D ML libraries ### Compensation - **Salary range:** **$210,000 — $260,000 USD** - Compensation also includes **equity and benefits** *Note: This posting spans **Junior, Senior, and Staff** levels (L4–L6). The level will be defined upon application.*
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