Über
73239-1
Title:
Ai Hardware Design Engineer
Locations : Santa Clara CA
Duration:
6 Months
Pay Range:
$55- $60/Hour on W2 (All inclusive)
Applicants must be able to work on W2 We are seeking an AI Hardware Design Engineer to join our team and drive innovation in AI-powered solutions. In this role, you will design, develop, and optimize generative AI models and workflows for applications such as content creation, product design, and intelligent automation.
Key Responsibilities:
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 to infer optimal process parameters for a given geometry and recommend geometry modifications when process latitude is insufficient.
Create high-fidelity digital twins by combining physics-based solvers (CFD, plasma, heat transfer) with learned surrogate components for rapid design-space exploration.
Implement and maintain robust, containerized MLOps systems (Docker, Kubernetes) in HPC environments for efficient model deployment.
Develop 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:
Master s or Ph.D. in Computer Science, Computational/Electrical Engineering, AI/ML, or a 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 repositories, publications) bridging simulation software, hardware design, and ML.
Experience Required:
6 8 years
Skills:
Python
Machine Learning
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.