AI Hardware Design Engineer — Digital Twins & HPC

Pentangle Tech Services | P5 Group

Santa Clara (CA)

On-site

USD 150,000 - 210,000

Full time

7 days ago
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Job summary

AMAT is seeking an Ai Hardware Design Engineer in Santa Clara to design, develop, and optimize generative AI models and workflows for advanced manufacturing and product design.

You will implement surrogate models, inverse-design strategies, and digital twins, collaborating with physicists and software engineers to ensure designs are manufacturable and robust in high-performance computing environments.

Qualifications

  • Master’s or Ph.D. in Computer Science, Computational/Electrical Engineering, AI/ML, or related field.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
  • Familiarity with MLOps, HPC environments, and cloud deployment.

Responsibilities

  • Develop forward surrogate models for chamber mapping and multi-parameter optimization.
  • Implement inverse-design workflows using generative/adjoint/topology optimization methods.
  • Build bi-directional models to infer process parameters and geometry modifications.
  • Create high-fidelity digital twins combining physics-based solvers with learned components.
  • Maintain containerized MLOps systems (Docker, Kubernetes) in HPC environments.
  • Develop multi-objective optimization and uncertainty-quantification workflows.
  • Collaborate with physicists, domain experts, and software engineers to ensure physical laws compliance.

Skills

Python
PyTorch
TensorFlow
Generative AI

Education

Master’s or Ph.D. in Computer Science/Engineering/AI

Tools

Docker
Kubernetes
HPC

Job description

AMAT is seeking an Ai Hardware Design Engineer in Santa Clara to design, develop, and optimize generative AI models and workflows for advanced manufacturing and product design.

You will implement surrogate models, inverse-design strategies, and digital twins, collaborating with physicists and software engineers to ensure designs are manufacturable and robust in high-performance computing environments.

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