AI Chip Design Engineer - New College Grad 2026

Reposted 12 Days Ago
Santa Clara, CA, USA
In-Office
100K-190K Annually
Entry level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
You will develop AI agents for verification tasks, enhance verification flows, collaborate with HW teams, and optimize algorithms.
Summary Generated by Built In

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: 

  • 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. 

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 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 3, 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.

Skills Required

  • BS or MS or equivalent experience in CS/CE/EE/Mathematics
  • Strong proficiency in agentic LLM Libraries/ Technologies
  • Solid understanding of GPU/CPU architectures and designs
  • Knowledge of HW verification methodologies and techniques
  • Hands-on experience with Verilog / System Verilog HDLs
  • Excellent command of scripting using Python

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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