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Generative AI (GenAI) Design Engineer (Contract)
Generative AI (GenAI) Design Engineer (Contract)Sapear Inc • Santa Clara, CA, United States
Generative AI (GenAI) Design Engineer (Contract)

Generative AI (GenAI) Design Engineer (Contract)

Sapear Inc • Santa Clara, CA, United States
Hace 1 día
Tipo de contrato
  • A tiempo completo
  • Quick Apply
Descripción del trabajo

Position : Generative AI (GenAI) Design Engineer (Contract)

Location : Santa Clara, CA (Day 1 Onsite)

Job Description :

We are seeking a Generative AI (GenAI) Design Engineer to join our team and drive innovation in AI-powered solutions. This role involves designing, developing, and optimizing generative AI models and workflows for applications such as content creation, product design, and intelligent automation.

  • Develop forward surrogate models for CVD / ALD / etch chambers mapping geometry, gas chemistry, flow, temperature, and power to film-uniformity, step-coverage, particle behavior, and thermal outcomes.
  • Implement inverse-design workflows where target performance specifications 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 compatible with downstream yield requirements.

Required Skills & Qualifications

  • Education : Master's or Ph.D. in Materials Science, Computational Engineering, AI / ML, or related field.
  • Technical Expertise :

  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
  • Experience with generative AI (LLMs, diffusion models, graph-based models).
  • Knowledge of computational materials methods (DFT, MD, phase-field modeling).
  • Additional Skills :

  • Familiarity with MLOps, HPC environments, and cloud deployment.
  • Understanding of thermodynamics, crystallography, and mechanical properties of materials.
  • Regards !!

    Bobby Sharma

    Talent Acquisition Lead

    Sapear Inc.

    Email : bobby@sapear.com

    Cell : +1 346-770-0775 Ext : 105

    Mobile : +91 -8368478945

    www.sapear.com

    We are hiring : https : / / www.sapear.com / jobs /

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