Used Tools & Technologies
GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 3
Algorithms @ 3
Machine Learning @ 3
Mathematics @ 3
Debugging @ 3
LLM @ 3
GPU @ 3
Generative AI @ 3
AI @ 3
LangChain @ 6
Prompt Engineering @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Responsibilities
- Play a key role in design, development and deployment of high performant agents' frameworks and tools.
- Develop AI agents which can process large codebases and wave 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 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.
Requirements
- MS, PhD, or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics.
- Strong proficiency in agentic LLM libraries/technologies such as 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 / SystemVerilog HDLs, temporal logic assertions, and ability 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.
Compensation & Benefits
- Base salary range (Level 2): 116,000 USD - 189,750 USD per year.
- Base salary range (Level 3): 136,000 USD - 218,500 USD per year.
- Eligible for equity and benefits (see NVIDIA benefits page).
Additional Information
- 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 is an equal opportunity employer.