AI application architect

We are looking for AI Hardware Design Engineer for our client in Santa Clara, CA

Job Title: AI Hardware Design Engineer

Job Location: Santa Clara, CA

Job Type: Contract

Job Overview:

• Pay Range: $62hr - $67hr
• Develop forward surrogate models for CVD/ALD/etch chambers mapping geometry, gas chemistry, flow, temperature, and power tfilm-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 tdeploy models efficiently.
• Develop robust multi-objective optimization and uncertainty-quantification workflows tensure AI-generated designs are manufacturable, robust tvariation, and compatible with downstream yield requirements.
• Collaborate with physicists, domain experts, and software engineers tvalidate that AI models comply with fundamental scientific laws.

Required Skills And 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).
• Additional Skills: Familiarity with MLOps, HPC environments, and cloud deployment.
• Proven experience (code repos, publications) bridging simulation software, hardware design, and ML.

For applications and inquiries, contact: [email protected]