Applied Ai Engineer - Silicon Co-design Group

NVIDIA

7+ years development experience
4+ years ai/ml or llm focus
Python and static language proficiency
The role involves architecting and implementing AI solutions to enhance the efficiency and intelligence of semiconductor design workflows

Job Summary

  • The role involves architecting and implementing AI solutions to enhance the efficiency and intelligence of semiconductor design workflows.
  • Candidates must possess deep technical expertise with hands-on experience driving AI initiatives from concept to deployment.
  • NVIDIA seeks innovative individuals who can balance multiple projects while collaborating with multi-functional engineering teams.

Matching Summary

The role involves architecting and implementing AI solutions to enhance the efficiency and intelligence of semiconductor design workflows.

Skills & Requirements

Must-have

  • 7+ years development experience
  • 4+ years AI/ML or LLM focus
  • Python and static language proficiency
  • Deep learning frameworks expertise
  • Agentic framework orchestration

Nice-to-have

  • EDA and semiconductor workflow experience
  • Open-source contributions in LLMs
  • Leading multi-disciplinary teams
  • Translating research to production tools

Key Requirements

  • M.S. or Ph.D. in CS/EE/CE
  • 7+ years total development experience
  • 4+ years focused on AI/ML/LLMs
  • Production ML model deployment experience

Work Rights

Not specified

Tailored Resume

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