Generative AI Engineer-Semiconductor Process Modeling

Role Name: Generative AI Engineer-Semiconductor Process Modeling Work site: Santa Clara, CA (Onsite) Duration: 12+ Months Experience Required: 13+ Years Pay Rate: $95 to $100/hr. on C2C Pay Rate: $85 to $90/hr. on W2 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. Thanks & Regards Mohd Hameed