GenDesign Inverse Design Ai Engineer

Role : GenDesign / Inverse Design Ai Engineer

Location : Santa Clara CA

Must Have Skills

Skill 1 Strong proficiency in Python and ML frameworks (PyTorch TensorFlow).

Skill 2 Experience with generative AI (LLMs diffusion models graph-based models).

Skill 3 We are seeking a Generative AI (GenAI) Design Engineer to join our team and drive innovation in AI-powered solutions

Good To have Skills

Skill 1 Familiarity with MLOps HPC environments and cloud deployment

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 : Masters or Ph.D. in Materials Science Computational Engineering AI / ML

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 modelling).

Additional Skills :

Familiarity with MLOps HPC environments and cloud deployment.

Understanding of thermodynamics crystallography and mechanical properties of materials.

Key Skills

Mechanical Design,SOC,System Design,GD&T,CAD,Creo,SolidWorks,Mechanical Engineering,Perl,Autocad,HVAC Design,Catia

Employment Type : Full Time

Experience : years

Vacancy : 1