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SOC Design Team Methodology Intern - 2027

NVIDIA· Intern
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ShanghaiinternPosted 1mo ago

About the role

Internship in NVIDIA's SOC Design Methodology team focusing on improving SOC design configuration, methodology, and automation with AI assistance. Hands-on role combining digital ASIC front-end methodology with AI to speed up flows, improve quality, and automate repetitive tasks.

Responsibilities

  • 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.

Qualifications

  • MS (or higher) pursuing students in Electrical Engineering or Computer Science who will graduate in 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.

Skills

Required:ScriptingDigital ASIC Front-End Design FlowsAI Agent Development

Benefits

  • Access to mentorship from experienced engineers
  • Hands-on experience with AI-enabled ASIC design methodologies
  • Opportunity to contribute to production flows across NVIDIA's SOC projects
  • Documentation and best-practice guidance development
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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