AI Hardware Design Engineer

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.