AI Chip Design Engineer - New College Grad 2026

NVIDIA

Posted 16 days ago

Full Time

Santa Clara, California

In Person

Smart Summary

The role involves designing, developing, and deploying high-performance agent frameworks and tools, including creating AI agents capable of processing large codebases and debugging failures. Responsibilities also include developing and optimizing algorithms for enterprise data to build advanced AI applications and integrating AI-driven optimizations into existing tools and flows.

We are looking for highly motivated engineers to help in the development and integration of AI capabilities into verification tasks. Strong proficiency in agentic LLM Libraries/Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, and excellent command of scripting using Python are required. A MS, PhD, or equivalent experience in CS/CE/EE/Mathematics is needed for this role.

Must Have Skills for ATS

Agentic LLM Libraries

LangChain

LangGraph

AutoGen

CrewAI

RAGs

Vector Databases

Prompt Engineering

Knowledge Graphs

GPU Architectures

CPU Architectures

Verilog

System Verilog

Python

HW Verification Methodologies

Retrieval Algorithms

Job Description

NVIDIA's HW team is seeking highly motivated Engineers to help in the development and integration of AI capabilities into verification tasks. As a part of this team, you will play a key role in enhancing verification flows and developing AI agents to improve productivity across teams in terms of deployment of various verification techniques. You will work on building and maintaining core infrastructure for running these agents in production and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping LLM and generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation. 

What will you be doing: 

  • Play a key role in design, development and deployment of high performant agents’ frameworks and tools. 

  • Develop AI agents which can process large codebase and waves failures to help in coding and debugging tasks.  

  • Collaborate with HW engineering teams to understand their specific needs and challenges and ensure our agent platform is well-suited to these needs. 

  • Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications. 

  • Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions. 

  • Integrate AI-driven optimizations into existing tools and flows.  

  • Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence. 

What we are looking for: 

  • MS, PhD, 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. 

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most resourceful and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 4, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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