AI for Design Engineer at NVIDIA

You're a mid-level engineer with at least 5 years of relevant experience, ideally holding a BS/MS/PhD in CS, CE, EE, or Mathematics, and comfortable with comple

Work type: onsite

Location: US, CA, Santa Clara

Salary: $136,000 – $264,500/yr

Type: Full-time

Summary

You're a mid-level engineer with at least 5 years of relevant experience, ideally holding a BS/MS/PhD in CS, CE, EE, or Mathematics, and comfortable with complex RTL. **What makes it worth a look...** NVIDIA is hiring for an on-site AI for Design Engineer role in Santa Clara, CA, with a generous annual salary range of $136,000 to $264,500. You'll be at the forefront of developing AI capabilities for hardware verification. **You might be a good fit if you...** * Have strong command of Python scripting. * Are proficient with agentic LLM libraries like LangChain, LangGraph, AutoGen, CrewAI, and RAGs. * Possess hands-on experience with Verilog/System Verilog HDLs and temporal logic assertions. * Understand GPU/CPU architectures and hardware verification methodologies.

Job Description

NVIDIA’s HW team is seeking highly motivated Engineers to assist in developing and integrating AI capabilities into verification tasks. As part of this team, you will play a key role in improving verification flows and creating AI agents that boost efficiency across teams by deploying various verification techniques. You will build and maintain the core infrastructure needed to run these agents in production, ensuring smooth and effective performance. If you are passionate about the latest research and innovative technologies crafting LLM and generative AI, this role and team offer an exciting chance to lead modern advancements.

What you'll be doing:

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

• Develop AI agents that process sizable codebases and bypass failures to support coding and debugging efforts.

• 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 build brand new solutions.

• Integrate technology-based optimizations into existing tools and flows.

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

• BS/MS/PhD or equivalent experience in CS/CE/EE/Mathematics.

• 5+ years of relevant experience.

• Strong proficiency in agentic LLM Libraries/Technologies like LangChain, LangGraph, AutoGen, CrewAI, RAGs, vector databases, timely engineering, knowledge graphs, etc.

• Solid understanding of GPU/CPU architectures and builds.

• 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.

• Proven track record of integrating AI into hardware verification processes.

• Experience with innovative generative AI technologies.

• Demonstrated leadership in cross-functional team environments.

• Strong problem-solving abilities.

• Outstanding skills in optimizing AI algorithms for performance.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 17, 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.

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