NVIDIA→
AI Chip Design Engineer - New College Grad 2026 at NVIDIA · US
Entry LevelOn-siteFull-timeUS, CA, Santa Clara
Skills
agentic llm technologiesgpu/cpu architectureshw verification methodologiesverilog/system verilog hdlspython scriptinganalytical skills
Job Description
Summary: NVIDIA is a leading technology company seeking highly motivated Engineers to aid in the development and integration of AI capabilities into verification tasks. The role involves enhancing verification flows, developing AI agents, and maintaining core infrastructure to improve productivity across teams.
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
Required Qualifications:
- 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
Required Skills: Agentic LLM Technologies, GPU/CPU Architectures, HW Verification Methodologies
Important Skills: Verilog/System Verilog HDLs, Python Scripting
Nice-to-Have Skills: Analytical Skills
Benefits: Equity, Benefits
Benefits
Equity
Benefits