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 referring to the compensation band below, keep in mind that it can vary depending on the candidate’s experience and level. While this posting is for a Staff level, we will consider strong Senior candidates who are excited to grow into a broader leadership or architectural role. 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. Salary Range $220,000 - $260,000 USD
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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 referring to the compensation band below, keep in mind that it can vary depending on the candidate’s experience and level. While this posting is for a Staff level, we will consider strong Senior candidates who are excited to grow into a broader leadership or architectural role. 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. Salary Range $220,000 - $260,000 USD
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