SOC Design Team Methodology Intern - 2027

Overview

• The NVIDIA System-on-Chip (SOC) design group is looking for a motivated intern to join our Methodology team.
• In this role, you will help improve the way we design, configure, and verify in SOC Design fields— making them faster, more reliable, and increasingly AI-assisted.
• This is a hands-on opportunity to work at the intersection of digital ASIC front-end methodology and applied AI.
• You will contribute to real production flows used across NVIDIA's SOC projects, partner with experienced engineers, and see how modern AI agents can accelerate chip design.
• We are looking for someone who is curious about finding problems, open-minded in solving them, quick to learn new tools, and detail-oriented in execution — while being organized, collaborative, and a strong communicator.
• What You'll Be Doing: Get up to speed on NVIDIA's SOC project development environment, tooling, and design flows.
• Identify pain points in SOC configuration work and related methodology areas, and help scope opportunities for improvement.
• Review conventional SOC design flows, document bottlenecks, and propose and prototype upgrades that improve turnaround time, quality, or automation.
• Develop and refine AI agents and automation scripts to support "Speed of Light" execution — helping engineers move faster by reducing manual, repetitive steps.
• Contribute to documentation, runbooks, and best-practice guides so that methodology improvements are repeatable and adoptable by the broader team.
• Collaborate with SOC Design engineers to gather requirements, validate ideas, and iterate on solutions.
• What We Need to See: Currently pursuing a MS (or higher) Students in Electrical Engineering, Computer Science, who will graduate at 2028 Working knowledge of digital ASIC front-end design flows Strong scripting skills — Python, Perl, or similar languages — with the ability to automate tasks and build maintainable tooling.
• Genuine interest and foundational knowledge in AI agent development (e.g., LLM-based agents, prompt design, tool-use / function-calling, or agentic workflows).
• Fluent English, both written and spoken, for effective collaboration in a global team.
• Ways to Stand Out from the Crowd: Coursework, projects, or internships in SOC design methodology.
• Hands-on experience building or integrating AI agents (e.g., LangChain, LlamaIndex, OpenAI-style tool use, or similar frameworks).
• Familiarity with version control (Git), CI/CD, and software engineering best practices.
• Comfort working in a Linux development environment with large codebases and EDA toolchains.
• A problem-finding mindset — you don't just solve assigned tasks, you proactively surface issues and propose improvements.
• Strong communication and teamwork, with the ability to explain technical trade-offs clearly to both engineers and stakeholders.