AI Chip Design Engineer - New College Grad 2026

Nvidia

Actively hiring
Us, Ca, Santa Clara, US Posted 58 days ago $116,000$189,750 / year

At a glance

AI generated

TL;DR

NVIDIA's Hardware team is seeking motivated engineers at the senior level to enhance verification flows by developing AI agents that improve productivity through advanced coding and debugging tasks. You will design, develop, and deploy high-performance frameworks and tools, collaborate with engineering teams to tailor agent platforms to specific needs, and integrate AI-driven optimizations into existing workflows. Key responsibilities include optimizing retrieval and generation algorithms for enterprise data and staying abreast of the latest advancements in machine learning and AI. Ideal candidates possess a strong background in computer science or related fields, proficiency in agentic LLM libraries like LangChain and AutoGen, solid understanding of GPU/CPU architectures, and hands-on experience with Verilog/System Verilog HDLs. Additionally, excellent Python scripting skills and knowledge of hardware verification methodologies are essential for this role at the forefront of AI innovation.

Skills

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

What you'll do

  • Develop AI agents to process large codebases and wave failures for coding and debugging tasks.
  • Design, develop, and deploy high-performance frameworks and tools for AI agents.
  • 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 to create state-of-the-art solutions.

What we're looking for

  • MS, PhD, or equivalent experience in CS/CE/EE/Mathematics.
  • Proficiency in agentic LLM libraries like LangChain, AutoGen, RAGs, vector databases, prompt engineering.
  • Solid understanding of GPU/CPU architectures and HW verification methodologies.
  • Strong analytical skills for solving complex problems with Verilog/System Verilog.
  • Excellent command of Python scripting and interpersonal skills for collaboration.

Market check

Salary context

This $116,000–$189,750 range sits above 22% 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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