Website Atomic Machines
Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing processes and a materials library that are inaccessible to semiconductor manufacturing methods. It unlocks MEMS manufacturing not only for device classes that could never be produced by semiconductor methods, but also for entirely new categories. Furthermore, this digital platform is fully programmable in the way 3D printing is digital—but whereas 3D printing produces parts of a single material using a single process, the Matter Compiler™ technology platform is a multi-process, multi-material system: bits and raw materials go in, and complete, functional micromachines come out.
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 and 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.
What You’ll Do
- Build CAD workflows that programmatically construct, modify, and evaluate 3D assemblies
- Manipulate and parametrize CAD models to support iterative design and optimization
- Integrate with CAD APIs to move beyond GUI-based workflows, enabling high-throughput automated modeling and simulation
- Develop 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
Required
- 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, 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 (post Master’s), or 5+ years (post PhD)
Nice to Have
- Experience with geometric modeling kernels (e.g., OpenCascade, Parasolid)
- Experience with 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
Compensation
Salary range: $210,000 – $260,000 USD. Compensation also includes equity and benefits.
To apply for this job please visit job-boards.greenhouse.io.
