AI Chip Design Engineer - New College Grad 2026

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

NVIDIA is seeking an AI Chip Design Engineer to develop and integrate AI capabilities into verification tasks, focusing on building and maintaining infrastructure for AI agents that process large codebases and optimize verification flows. The role involves developing retrieval and generation algorithms, integrating AI optimizations, and working with HW engineering teams.

What you'd actually do

  1. Play a key role in design, development and deployment of high performant agents’ frameworks and tools.
  2. Develop AI agents which can process large codebase and waves failures to help in coding and debugging tasks.
  3. Collaborate with HW engineering teams to understand their specific needs and challenges and ensure our agent platform is well-suited to these needs.
  4. Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
  5. Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions.

Skills

Required

  • BS or MS or equivalent experience in CS/CE/EE/Mathematics
  • Strong proficiency in agentic LLM Libraries/ Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, prompt engineering, knowledge graphs, etc.
  • Solid understanding of GPU/CPU architectures and designs
  • Strong analytical skills to solve complex problems
  • Knowledge of HW verification methodologies and techniques
  • Hands-on experience with Verilog / System Verilog HDLs, temporal logic assertions, and able to understand complex RTL quickly
  • Excellent command of scripting using Python
  • Excellent interpersonal skills, able to effectively collaborate and work with members of a distributed team

What the JD emphasized

  • high performant agents’ frameworks
  • AI agents
  • large codebase
  • retrieval and generation algorithms
  • latest advancements in machine learning and AI
  • agentic LLM Libraries/ Technologies
  • LangChain
  • LangGraph
  • AutoGen
  • CrewAI
  • RAGs
  • vector databases
  • prompt engineering
  • knowledge graphs

Other signals

  • AI agents
  • LLM libraries
  • GPU/CPU architectures
  • HW verification