Senior Infrastructure and Methodology Engineer for SoC-Clocks

Responsibilities

• Acquire comprehensive knowledge of NVIDIA’s design, verification, and architecture development environments and execution procedures.
• Collaborate with domain experts in chip design and verification to identify process bottlenecks and implement infrastructure solutions.
• Design and implement end-to-end AI applications, integrating LLM-based capabilities into web frontends, internal portals, and command-line tools.
• Develop agentic applications, focusing on context engineering, harness engineering, and establishing rigorous evaluation benchmarks for performance.
• Research advanced design and verification tool flows to develop new applications that address emerging semiconductor industry challenges.

Requirements

• Academic background in Computer Science, Electrical Engineering, Computer Engineering, or Aerospace Engineering.
• 2+ years of experience with ASIC principles.
• Proficiency in Python, JavaScript, and TypeScript.
• Hands-on experience with AI-native coding tools such as Claude Code, Codex, or Cursor.
• Practical experience building production AI applications and using LLM frameworks like LangGraph, LangChain, or LlamaIndex.
• Fluent written and spoken English with strong cross-team communication skills.

Preferred Qualifications

• Full-stack development experience including FastAPI, React, Node.js, CI/CD, and MySQL/MongoDB.
• Experience building AI tools specifically for hardware or EDA (Electronic Design Automation) teams.
• Involvement in ASIC-related CAD projects, such as SoC chip build flows, RTL design, CDC/RDC checking, or static timing analysis.
• High passion for applying AI to improve engineering productivity in semiconductor development.

About the Company

NVIDIA is a global leader in accelerated computing, recognized as one of the most desirable employers in the technology sector. We are dedicated to advancing cutting-edge methodologies and automation processes in complex SOC/ASIC design.