Atomic Machines
About 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. The platform is a fully programmable, multi-process, multi-material system that turns raw materials into complete, functional micromachines. About the Role
As a Staff CAD Automation Engineer, you will develop 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 rich library of components. 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 parametric component library
for generative design exploration. Collaborate across teams
to integrate CAD generation with meshing, simulation, and manufacturing pipelines. Support the development
of workflows for shape and topology optimization, simulation‑in‑the‑loop environments, and generative CAD approaches. What You’ll Need
Deep expertise in CAD manipulation and parametrization, including scripting and automation (e.g., Onshape, SolidWorks, Fusion). Strong background in generative or programmatic CAD workflows. Deep understanding of CAD standards and familiarity with tool interoperability. Proficiency in interacting with CAD software via APIs (Python, C++ or similar). Experience with geometric modeling kernels (OpenCascade, Parasolid). Experience mastering NURBS and B‑Rep. Bachelor’s, Master’s or PhD in Mechanical Engineering, Aerospace Engineering, Computational Design, Computer Science, or related field. 10+ years industrial experience (post‑Bachelor) or 8+ years (post‑Master) or 5+ years (post‑PhD). Desired
Experience with meshing for simulation or manufacturing. Experience with implicit geometric representations (signed distance functions, constructive solid geometry, blending). Experience with Model‑Based Definitions. Bonus Points For
Familiarity with AI‑based CAD generation or generative design algorithms. Experience with simulation‑in‑the‑loop design, shape optimization or topology optimization workflows. Experience parsing large sets of CAD models to create batchable datasets for training. Background in digital fabrication. Benefits
The compensation for this position includes equity and benefits. Salary range: $220,000 – $260,000 USD (CA Bay Area).
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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. The platform is a fully programmable, multi-process, multi-material system that turns raw materials into complete, functional micromachines. About the Role
As a Staff CAD Automation Engineer, you will develop 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 rich library of components. 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 parametric component library
for generative design exploration. Collaborate across teams
to integrate CAD generation with meshing, simulation, and manufacturing pipelines. Support the development
of workflows for shape and topology optimization, simulation‑in‑the‑loop environments, and generative CAD approaches. What You’ll Need
Deep expertise in CAD manipulation and parametrization, including scripting and automation (e.g., Onshape, SolidWorks, Fusion). Strong background in generative or programmatic CAD workflows. Deep understanding of CAD standards and familiarity with tool interoperability. Proficiency in interacting with CAD software via APIs (Python, C++ or similar). Experience with geometric modeling kernels (OpenCascade, Parasolid). Experience mastering NURBS and B‑Rep. Bachelor’s, Master’s or PhD in Mechanical Engineering, Aerospace Engineering, Computational Design, Computer Science, or related field. 10+ years industrial experience (post‑Bachelor) or 8+ years (post‑Master) or 5+ years (post‑PhD). Desired
Experience with meshing for simulation or manufacturing. Experience with implicit geometric representations (signed distance functions, constructive solid geometry, blending). Experience with Model‑Based Definitions. Bonus Points For
Familiarity with AI‑based CAD generation or generative design algorithms. Experience with simulation‑in‑the‑loop design, shape optimization or topology optimization workflows. Experience parsing large sets of CAD models to create batchable datasets for training. Background in digital fabrication. Benefits
The compensation for this position includes equity and benefits. Salary range: $220,000 – $260,000 USD (CA Bay Area).
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