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GCP AI Platform Engineer
GCP AI Platform EngineerOpenkyber • CA, United States
GCP AI Platform Engineer

GCP AI Platform Engineer

Openkyber • CA, United States
9 hours ago
Job type
  • Full-time
  • Quick Apply
Job description

We are looking for a AI Engineer for our client in S anta Clara , C A

Job Title : AI Engineer

Job Location : S anta Clara , C A

Job Type : Contract

Job Description :

Pay Range : $60hr - $65hr

The Generative AI Design Engineer will design, develop, and optimize generative AI models and engineering workflows that support innovation in areas such as content creation, product design, intelligent automation, and advanced semiconductor process modeling.

This role focuses on developing surrogate models, inverse-design workflows, and high-fidelity digital twins for complex engineering systems.

The ideal candidate will integrate physics-based modeling with advanced AI techniques to accelerate design-space exploration and optimization.

Requirement / Must Have :

  • Master s or Ph.D. in Materials Science, Computational Engineering, AI / ML, or a related field.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
  • Experience with generative AI models (LLMs, diffusion models, graph-based models).
  • Knowledge of computational materials methods (DFT, MD, phase-field modeling).
  • Familiarity with MLOps, HPC environments, and cloud deployment.
  • Understanding of thermodynamics, crystallography, and mechanical properties of materials.

Experience :

  • Experience integrating physics-based engineering methods with AI / ML.
  • Experience with multi-objective optimization and uncertainty quantification (preferred).
  • Responsibilities :

  • Develop forward surrogate models for CVD / ALD / etch chambers to map geometry, chemistry, flow, temperature, and power to film-uniformity and performance outcomes.
  • Implement inverse-design workflows to generate chamber geometries, showerhead / baffle designs, and process conditions using generative or optimization-driven methods.
  • Build bi-directional models to infer optimal process parameters and recommend geometry modifications.
  • Create high-fidelity digital twins combining physics-based solvers with AI-based surrogate components.
  • Develop optimization and uncertainty-quantification workflows to ensure manufacturable, robust AI-generated designs.
  • Should Have :

  • Ability to collaborate with cross-functional engineering and AI teams.
  • Strong analytical and problem-solving skills.
  • Skills :

  • Proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of generative AI methods.
  • Knowledge of computational materials modeling and physics-based simulations.
  • Familiarity with MLOps and HPC.
  • Qualification and Education :

  • Master s or Ph.D. required.
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