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AI Engineer

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Role: Generative AI Design Engineer advancing the design, development, and optimization of GenAI models and workflows for AI-powered design, content creation, and automation.
Develop forward surrogate models mapping geometry, gas chemistry, flow, temperature, and power to film-uniformity, step-coverage, particle behavior, and thermal outcomes in manufacturing processes.
Implement inverse-design workflows where target performance specs generate feasible chamber geometries, showerhead/baffle designs, and process conditions via generative or adjoint/topology-optimization methods.
Build bi-directional models that infer optimal process parameters for a given geometry and recommend geometry modifications when process latitude is insufficient.
Create high-fidelity digital twins combining physics-based solvers (CFD, plasma, heat transfer) with learned surrogate components for rapid design-space exploration.
Develop robust multi-objective optimization and uncertainty-quantification workflows to ensure AI-generated designs are manufacturable, robust to variation, and aligned with downstream yield requirements.

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