AI Chip Design Engineer - New College Grad 2026
About The Position
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.
Requirements
- 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.
Responsibilities
- 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.
Benefits
- You will also be eligible for equity and benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
