Atomic Machines
Generative AI CAD Engineer
Emeryville, California · Senior
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About the role
- This position is onsite in our Emeryville, CA office, with openness to an occasional work-from-home arrangement when needed.
- 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.
Responsibilities
- 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.
- Knowledge of AI-based CAD generation, generative models for 3D geometry, or generative design algorithms, demonstrated through coursework, research, publications, or substantial projects.
- Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code.
- The Matter Compiler™ is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them.
- To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.
Requirements
- Proficiency in interacting with CAD or geometry tooling via APIs (Python, Rust, or other relevant languages).
- Familiarity with CAD interoperability standards (STEP, IGES, JT, GLTF, or similar).
- Experience with NURBS and B-Rep.
Nice to have
- Strong background in programmatic CAD workflows or programmatic 3D geometry (e.g., with Onshape API, SolidWorks API, Fusion API, CadQuery, Build123d, FreeCAD, or similar).
- Experience with CAD manipulation and parametrization, including scripting and automation.
- Experience with geometric modeling kernels (e.g., OpenCascade, Parasolid).
- Experience with implicit geometric representations (SDFs, neural fields, occupancy networks).
- Experience with meshing, especially for simulation or manufacturing purposes.
- 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
- $210,000 - $260,000 USD
Benefits
- Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, Computational Design, Mechanical Engineering, Aerospace Engineering, Applied Math, or a related field.
Company info
- Founded by Jeff Holden - serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer - the company has raised $250 million to date.
- We are committed to an inclusive interview experience, including for individuals with disabilities.
Equal opportunity
- Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law.
- To request an accommodation, contact rc@atomicmachines.com.
This listing is sourced directly from Atomic Machines's careers page and normalized into a canonical job model.