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AI Developer Intern - Interconnect Hardware Frontend, 2027

NVIDIA

China, Shanghai · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)

NVIDIA's MSS-Interconnect frontend team is looking for an intern to help explore where modern AI can create real value for RTL, verification, debug, and design-review workflows. During your internship, you will take a focused AI-for-hardware use case from idea to working prototype, evaluate current AI tools and agents on real engineering problems, and help the team learn which capabilities are worth adopting.

Responsibilities

  • Prototype AI-assisted workflows for a focused hardware frontend problem — RTL, verification, debug, code understanding, or design review — and iterate with the engineers who use it.
  • Evaluate new AI tools, models, and agent capabilities on real engineering tasks, and help assess which are worth adopting.
  • Build small, reusable tools or automation that make a concrete workflow faster or more reliable.
  • Partner with hardware engineers to turn a real pain point into a practical AI use case, and refine it based on usage and feedback.
  • Share what works and what doesn't so the team can decide where to experiment and invest further.
  • What we need to see
  • Currently pursuing a BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Solid Python and software engineering fundamentals, with some experience building automation, scripts, or tools.
  • Exposure to hardware frontend workflows — RTL design, verification, debug, or design methodology — through coursework, projects, research, or prior internships.
  • Enough hardware understanding to judge whether an AI-assisted solution is actually useful and technically sound.

Languages

    Work format
    On-site
    Seniority
    Intern
    Posted
    19 Oct 2026
    Last verified
    In the last 5 days

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