Senior Infrastructure and Methodology Engineer for SoC-Clocks

Overview

• The NVIDIA SoC-Clocks team is seeking an Infrastructure and Methodology Engineer dedicated to optimizing chip design, verification, and architectural workflows.
• This role focuses on developing automation and agentic applications to enhance overall efficiency and quality.
• The ideal candidate should possess proven full-stack web development and AI application development experience, along with exceptional communication skills.
• Preference will be given to candidates with a background in fundamental ASIC knowledge.
• What You’ll Be Doing: Acquire comprehensive knowledge of NVIDIA’s design, verification, and architecture development environments, execution procedures, and decision-making methodologies.
• Collaborate closely with domain experts (e.g., chip design, verification, and architecture engineers) to identify process bottlenecks and formulate infrastructure improvement solutions.
• Design and implement end‑to‑end AI applications, integrating LLM‑based capabilities into web frontends, internal portals, command‑line tools, and other engineering workflows.
• Participate in the design and development of the agent application and explore excellent practices in context engineering and harness engineering.
• Establish rigorous evaluation benchmarks for Agent performance and optimize system to ensure reliability.
• Research advanced design and verification tool flows within NVIDIA and the wider industry and develop new applications based on these flows to address emerging challenges.
• What we need to see: Academic background in CS, EE, CE, or AE.
• 2 years+ knowledge of ASIC principles.
• Proficiency in scripting languages such as Python, JavaScript, and Typescript.
• Hands-on experience using AI-native coding tools such as Claude Code, Codex, and Cursor.
• Practical experience building production AI applications.
• Experience with at least one LLM development framework (e.g.
• LangGraph, LangChain, LlamaIndex).
• Full-Stack Sensibility: While focused on AI, you understand how to integrate Agents into modern web architecture.
• Experience with FastAPI, React, Node.js, CI/CD, Database (MySQL/MongoDB) is preferred.
• Good judgment in decomposing engineering problems into reusable skills, workflows, and agent capabilities that can be productized for internal users.
• Fluent written and spoken English, with strong cross-team communication and consensus-building skills.
• Ways to stand out from the crowd: Experience in building AI tools for hardware/EDA teams.
• Involvement in ASIC-related CAD projects, including SoC chip build flow, RTL design, CDC/RDC checking, static timing analysis, and simulation regression management.
• High passion for applying AI to build systems that materially improve engineering productivity in semiconductor development.
• NVIDIA is recognized as one of the most desirable employers in the technology sector, with a workforce distinguished by dedication and talent.
• Individuals with creativity and passion for advancing cutting-edge methodologies and automation processes in complex SOC/ASIC design are encouraged to apply.