AI Hardware Design Engineer

Santa Clara County, CA - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: AI Hardware Design Engineer

Location: Santa Clara CA

Duration: Long Term

Client: AMAT

Job description:

We are seeking an Ai Hardware 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 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.
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: Masters 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).
Additional Skills:
- Familiarity with MLOps HPC environments and cloud deployment.
- Proven experience (code repos publications) bridging simulation software hardware design and ML.

Job Title: AI Hardware Design Engineer Location: Santa Clara CA Duration: Long Term Client: AMAT Job description: We are seeking an Ai Hardware Design Engineer to join our team and drive innovation in AI-powered solutions. This role involves designing developing and optimizing generative AI m...