AI Hardware Design Engineer (Santa Clara)

GyanSys is looking for an AI Hardware Design Engineer. 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. Platform & MLOps Infrastructure: Implement and maintain robust, containerized MLOps systems (Docker, Kubernetes) in HPC environments to deploy models efficiently. 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. Collaborate with physicists, domain experts, and software engineers to validate that AI models comply with fundamental scientific laws. Required Skills & Qualifications Education: Master’s or Ph.D. in Computer Science, Computational/Electrical 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). About GyanSys GyanSys is a leading global system integrator company supporting enterprise customers worldwide. We specialize in solutions implementations, managed services, and data analytics spanning SAP, Salesforce, Microsoft, and other prime enterprise platforms. Using a mature blended delivery model with over 3,000 consultants, we support over 350 enterprise customers across the Americas, Europe, and APAC.