Applied AI Engineer: LLM Agents for VLSI CAD

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 136,000 - 219,000

Full time

14 days+
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Job summary

NVIDIA Corporation in Santa Clara is seeking dedicated software engineers to develop and deploy AI agents for VLSI design. You will work on LLM-powered solutions, multi-agent systems, and integrate tools with CAD flows to solve complex chip design challenges.

The role requires a strong background in CS/EE, 5+ years of experience, and expertise in Python, ML, and agentic architectures. Equity, benefits, and a hybrid- or onsite work setup in a fast-paced, collaborative environment are offered.

Qualifications

  • Master's or PhD in Electrical Engineering, Computer Science/Engineering or equivalent.
  • 5+ years of industry experience in related field.
  • Proficiency in Python with data structures, algorithms, and software engineering principles.
  • Experience fine-tuning LLMs, building multi-agent systems, RAG pipelines and vector databases.
  • Strong communication and ability to work in distributed teams.

Responsibilities

  • Design, develop, and deploy AI applications using LLMs and agentic frameworks.
  • Build infrastructure to deploy LLM-powered engineering assistants and multi-turn dialogues.
  • Develop agentic AI solutions for complex VLSI problems and integrate with CAD flows.
  • Leverage AI to improve chip design efficiency and quality of output.
  • Create design databases and dashboards with retrieval mechanisms to speed design closure.
  • Collaborate with circuit design, layout, technology, and external EDA teams across geographies.

Skills

Python
ML fundamentals
Algorithms & data structures
LLM fine-tuning
Multi-agent systems
Distributed teamwork

Education

Master's degree in EE/CS or equivalent
PhD preferred (bonus)

Tools

RAG pipelines
Vector databases
Python prototyping
CAD/EDA tooling (general)

Job description

NVIDIA Corporation in Santa Clara is seeking dedicated software engineers to develop and deploy AI agents for VLSI design. You will work on LLM-powered solutions, multi-agent systems, and integrate tools with CAD flows to solve complex chip design challenges.

The role requires a strong background in CS/EE, 5+ years of experience, and expertise in Python, ML, and agentic architectures. Equity, benefits, and a hybrid- or onsite work setup in a fast-paced, collaborative environment are offered.

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