AI Chip Design Engineer - New College Grad 2026

Nvidia

Actively hiring
Us, Ca, Santa Clara, US Posted 59 days ago $100,000–$166,750 / year
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At a glance

AI generated

TL;DR

NVIDIA's Hardware (HW) team is seeking an experienced Engineer to join their dynamic group focused on integrating AI capabilities into verification tasks. In this role, you will design and develop high-performance frameworks and tools for AI agents that process large codebases and wave failures, enhancing coding and debugging efficiency across teams. You will collaborate closely with HW engineering teams to tailor the agent platform to specific needs, optimize retrieval and generation algorithms for enterprise data, and integrate AI-driven optimizations into existing verification tools. Key responsibilities include staying abreast of cutting-edge advancements in machine learning and AI to create state-of-the-art solutions while maintaining high-quality engineering practices. The ideal candidate has a strong background in CS/CE/EE/Mathematics, proficiency with agentic LLM libraries like LangChain and AutoGen, solid understanding of GPU/CPU architectures, and hands-on experience with Verilog/System Verilog HDLs and Python scripting.

Skills

Python LangChain LangGraph AutoGen CrewAI RAGs vector databases prompt engineering knowledge graphs Verilog System Verilog temporal logic assertions GPU architectures CPU architectures HW verification methodologies

What you'll do

  • Design, develop, and deploy high-performance agents’ frameworks and tools.
  • Develop AI agents to process large codebases and wave failures for coding and debugging.
  • Optimize retrieval and generation algorithms for enterprise data including text, code, and images.
  • Integrate AI-driven optimizations into existing verification tools and flows.
  • Stay updated with the latest advancements in machine learning and AI technologies.

What we're looking for

  • BS or MS in CS/CE/EE/Mathematics or equivalent experience.
  • Proficiency in agentic LLM libraries like LangChain, AutoGen, and vector databases.
  • Solid understanding of GPU/CPU architectures and HW verification methodologies.
  • Strong analytical skills for solving complex problems with scripting in Python.
  • Hands-on experience with Verilog/System Verilog and temporal logic assertions.

Market check

Salary context

This $100,000–$166,750 range sits above 10% of similar postings on FindRole.

Peer median band

$152,450–$234,325

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$158,400–$240,800

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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