Atomic Machines
AI CAD Engineer
Emeryville, California · Senior
Sponsorship not specified$210k-$260kDetected 8 days ago
PythonC++AlgorithmsSolidWorksMechanical DesignAerospace EngineeringLeadership
About the role
- This position is onsite in our Emeryville, CA office, with openness to an occasional work-from-home arrangement when needed.
- 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.
Responsibilities
- Manipulating and parametrizing CAD models to support iterative design and optimization.
- 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.
- Knowledge of AI-based CAD generation or generative design algorithms.
- Experience in parsing large sets of CAD models with product and manufacturing information to create batchable datasets for training.
Requirements
- Deep expertise in CAD manipulation and parametrization, including scripting and automation (e.g., with Onshape API, SolidWorks API, Fusion API, or similar).
- Proficiency in interacting with CAD software via APIs (Python, C++, or other relevant languages).
- Bachelor's or Master's or PhD degree in Mechanical Engineering, Aerospace Engineering, Computational Design, Computer Science, or a related field.
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.
- Experience with implicit geometric representations.
- Experience with simulation-in-the-loop design, shape optimization, or topology optimization workflows.
Compensation
- $210,000 - $260,000 USD
Company info
- We are open to strong earlier-career candidates who are excited to grow into broader technical leadership or architectural responsibility over time.
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