NVIDIA

NVIDIA

Posted via Workday

AI Chip Design Engineer - New College Grad 2026

Posted Aug 5, 2026

Role at a glance

Salary
$116K – $218.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Education
MS, PhD, or equivalent experience in CS/CE/EE/Mathematics.

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Role Summary

AI-generated

The HW team is developing and integrating AI capabilities into verification tasks, including AI agents and production infrastructure. The role focuses on improving verification productivity and building advanced AI applications for enterprise data across text, code, and images.

What You'll Do

  • Design, develop, and deploy 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 the agent platform is well-suited to...
  • Develop and optimize retrieval and generation algorithms for enterprise data.
  • Integrate AI-driven optimizations into existing tools and flows.
  • Build and maintain core infrastructure for running agents in production and ensuring their seamless and efficient performance.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Strong proficiency in agentic LLM libraries and technologies; solid understanding of GPU/CPU architectures and designs; strong analytical skills; knowledge of HW verification methodologies and techniques; hands-on experience with Verilog/SystemVerilog HDLs and temporal logic assertions; excellent Python scripting; excellent interpersonal and collaboration skills.

Required

  • Strong proficiency in agentic LLM Libraries/Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, prompt...
  • 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.

Original job description

Content provided by the employer

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

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.