GenDesign Inverse Design Ai Engineer
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Job Location:
Santa Clara County, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Hello There
Wish you a Happy Monday
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 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: Masters 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.
Key Skills
- Mechanical Design
- SOC
- System Design
- GD&T
- CAD
- Creo
- SolidWorks
- Mechanical Engineering
- Perl
- Autocad
- HVAC Design
- Catia
