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Senior AI Verification Engineer

NVIDIA·Ra'anana, Israel·en
Not specifiedFull-timeHardware EngineeringSemiconductors

Develop AI methods and tools for chip verification, automating test generation, coverage closure and debugging. Apply machine learning and LLMs to improve pre-silicon verification workflows.

Responsibilities

  • Build and deploy an AI verification environment that automates stimulus generation and coverage closure.
  • Integrate AI agents and machine-learning models into verification tools and automate intent-to-testbench workflows.
  • Develop AI debugging assistants to analyze simulation failures, categorize bugs and suggest fixes.
  • Research and apply methods such as reinforcement learning and LLMs to chip verification challenges.
  • Collaborate with design automation teams and EDA vendors on workflows spanning RTL to GDS.
  • Train colleagues in AI tools and human-in-the-loop methods.

Requirements

  • Bachelor’s degree in electrical engineering or computer science, or equivalent experience.
  • At least 8 years of hands-on pre-silicon verification experience.
  • Interest in automation and improving traditional manual verification workflows.

Nice to have

  • Experience building or using AI tools for hardware verification, such as automated coverage, log analysis or bug prediction.

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