← All roles

Applied AI Engineer - VLSI Design

NVIDIA· Engineer, CAD
Apply on company site
Santa Clara, CA$136k - $218.5kFull-timePosted 4mo ago

About the role

NVIDIA is seeking an Applied AI Engineer to develop and deploy AI agents leveraging machine learning to solve complex VLSI design problems within the custom RAM design team, focusing on AI-enabled engineering assistants, multi-turn/multi-modal dialogue systems, and CAD flow integration.

Responsibilities

  • Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies.
  • Drive impact by designing and building the needed infrastructure to deploy LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
  • Develop agentic AI solutions that help solve complex VLSI engineering problems, fine tune & integrate them with CAD flow systems.
  • Make a difference by using AI technologies to help solve complex problems in chip design more efficiently.
  • Build and maintain design databases and dashboards that may use agentic and deterministic retrieval mechanisms to fetch pertinent engineering data expediting circuit design closure.
  • Collaborate with circuit design, layout, technology, and 3rd party EDA vendor teams distributed across geographies and time zones.

Qualifications

  • 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 rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
  • Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.
  • Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams.
  • A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.

Skills

Required:PythonLarge Language Models (LLMs)Multi-agent systemsRAG pipelinesVector databasesSoftware engineering
Nice to have:CAD flow integration

Benefits

  • equity
  • comprehensive benefits package
  • NVIDIA benefits (link referenced)
Last updated Aug 28, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA