AI Chip Design Engineer - New College Grad 2026
Nvidia
At a glance
AI generatedNVIDIA'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
What you'll do
What we're looking for
Market check
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
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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