Job Description
Hello There,
Wish you a Happy Tuesday,
My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.
ROLE : GENDESIGN / INVERSE DESIGN AI ENGINEER
LOCATION: SANTA CLARA, CA, 4 DAYS PER WEEK ONSITE PREFERRED
- 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.
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