Applied Ai Engineer - Dft Methodology

NVIDIA

Hybrid
Experience in dft and vlsi
Applied ml solutions for chip design
Strong programming skills in python
NVIDIA is seeking an Applied AI Engineer specializing in Design-for-Test (DFT) Methodology to develop innovative AI solutions for semiconductor chip design. The ideal candidate will have a blend of experience in DFT, VLSI, and applied machine learning, combined with excellent programming skills and the ability to work in a collaborative, fast-paced environment

Job Summary

  • NVIDIA is a leader in GPU technology and AI research.
  • The role involves architecting generative AI solutions and collaborating with VLSI teams.
  • NVIDIA offers a diverse and supportive environment for engineers.

Matching Summary

Match Score: 85

NVIDIA is seeking an Applied AI Engineer specializing in Design-for-Test (DFT) Methodology to develop innovative AI solutions for semiconductor chip design. The ideal candidate will have a blend of experience in DFT, VLSI, and applied machine learning, combined with excellent programming skills and the ability to work in a collaborative, fast-paced environment.

Skills & Requirements

Must-have

  • Experience in DFT and VLSI
  • Applied ML solutions for chip design
  • Strong programming skills in Python

Nice-to-have

  • Excellent knowledge in statistical tools
  • Strong organization and time management skills
  • Outstanding written and oral communication skills

Key Requirements

  • BSEE or MSEE from reputed institutions
  • 2+ years of experience in DFT
  • Good understanding of fundamental DFT concepts

Work Rights

Not specified

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