SOC Design Team Methodology Intern - 2027

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.