Über diese AI CAD Engineer Stelle bei Atomic Machines
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 referencing the compensation band below, please note that it may vary based on a candidate’s experience and level. This role is not tied to a single level and may span earlier-in-career through senior-level candidates (L4–L6). Final leveling will be determined during the interview process. We are open to strong earlier-career candidates who are excited to grow into broader technical leadership or architectural responsibility over time.
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.
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 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., OpenCascade, 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.