Senior Infrastructure and Methodology Engineer for SoC-Clocks

Job Title

Senior Infrastructure and Methodology Engineer for SoC-Clocks

Role Summary

Develop infrastructure, automation, and AI-driven applications to improve SoC design, verification, and architecture workflows. Work with chip-design and verification teams to identify bottlenecks, design agentic tools, and integrate LLM capabilities into engineering environments.

This role sits on the NVIDIA SoC-Clocks team and focuses on tooling and methodology to increase engineering productivity and quality in ASIC flows.

Experience Level

Senior. The role expects demonstrable ASIC domain knowledge (2+ years of ASIC principles) and experience building production AI applications and full-stack integrations.

Responsibilities

Primary responsibilities include delivering infrastructure and AI-enabled tools that integrate into engineering workflows.

• Understand NVIDIA design, verification, and architecture environments and their execution processes.
• Partner with domain engineers to identify process bottlenecks and propose infrastructure improvements.
• Design and implement end-to-end AI applications and agent systems that integrate with web frontends, portals, and CLI tools.
• Develop context- and harness-engineering practices, evaluation benchmarks, and reliability optimizations for agents.
• Research advanced design and verification flows and build new applications to address emerging challenges in ASIC/SoC workflows.
• Contribute to production-quality deployment and CI/CD of tooling used by hardware and verification teams.

Requirements

Must-have skills and experience required for successful performance in this role.

• 2+ years of ASIC domain knowledge (principles and common flows).
• Proficiency in scripting and backend languages such as Python, JavaScript, and TypeScript.
• Practical experience building production AI applications and using at least one LLM development framework (e.g., LangGraph, LangChain, LlamaIndex).
• Experience integrating LLM/agent capabilities into web architectures and engineering workflows.
• Familiarity with full-stack components (APIs, frontend frameworks, CI/CD, databases) and modern deployment practices.
• Fluent written and spoken English and strong cross-team communication skills.
• Good judgment decomposing engineering problems into reusable skills, workflows, and agent capabilities.

Nice-to-have:

• Hands-on experience with FastAPI, React, Node.js, MySQL or MongoDB, and CI/CD pipelines.
• Experience with AI-native coding tools (Claude Code, Codex, Cursor) and building AI tools for hardware/EDA teams.
• Background in ASIC CAD projects (SoC build flow, RTL design, CDC/RDC, static timing analysis, simulation regression).

Education Requirements

Academic background in Computer Science, Electrical Engineering, Computer Engineering, or Applied Engineering is requested.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.