NVIDIA
Applied AI Engineer - VLSI Design
$136K–$264K
US, CA, Santa Clara · Full-time · Posted Aug 17, 2026
- Experience
- 5+ years of proven industry experience in a related field.
- Education
- Master's or PhD degree in Electrical Engineering, Computer Science/Engineering or equivalent experience.
About the job
Develop and deploy AI agents and LLM-powered tools integrated with CAD flows to improve VLSI design and engineering workflows.
What you'll do
- Design, develop, and deploy AI applications using LLMs and agentic frameworks, including engineering assistants and dialogue systems.
- Build and integrate agentic AI solutions, fine-tuning models and connecting them to CAD flow systems.
- Maintain design databases and dashboards using retrieval mechanisms to surface engineering data for circuit design closure.
What they ask for
- Master's or PhD degree in Electrical Engineering, Computer Science/Engineering or equivalent experience.
- 5+ years of proven industry experience in a related field.
- Proficiency in Python and foundational knowledge of data structures, algorithms, and software engineering principles.
- Experience fine-tuning large language models and building multi-agent systems, RAG pipelines, and vector databases.
Nice to have
- Proficiency in software development methodologies, including version control, testing, and CI/CD.
- Prior experience with circuit design or HW design.
Pay
136,000 USD - 218,500 USD base salary (Level 3); 168,000 USD - 264,500 USD base salary (Level 4)
Tools
Python, LLMs, Agentic frameworks, RAG pipelines, vector databases, CAD
AI focus
Develop and deploy LLM-powered applications and multi-agent AI solutions for VLSI engineering, including model fine-tuning, retrieval systems, and integration with CAD flows.
Model-written summary · the original posting is authoritative