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VLSI CAD Timing Intern, Applied AI - Summer 2027

NVIDIA

US, CA, Santa Clara · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)

We are looking for a VLSI CAD Timing Intern focused on Applied AI to lead end-to-end solution development — spanning data generation, model training, orchestration, and agentic automation — for timing and constraint analysis workflows. You will be part of a cross-disciplinary team building intelligent systems that learn from sign-off data, reason across flows, and assist engineers in achieving faster and more predictable closure.

Responsibilities

  • Learn and support static timing analysis (STA) flows using industry tools like PrimeTime and Tempus for advanced ASIC designs.
  • Help develop and automate timing, constraints, and QoR validation flows using scripting and data-driven methods.
  • Assist with analyzing timing reports, constraints, and design data across corners and modes to improve closure predictability.
  • Collaborate with CAD, physical design, and methodology engineers on timing sign-off strategies and best practices.
  • Contribute to early AI- or analytics-assisted approaches for timing analysis, constraint checking, or flow optimization.
  • Explore how physical effects (e.g., IR drop, crosstalk, aging, thermal impact) influence timing and design decisions.
  • What we need to see
  • Currently pursuing a Master’s or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Coursework or academic knowledge in VLSI/ASIC design, digital circuits, or computer architecture.
  • Exposure to applying agentic AI to back-end VLSI tasks (e.g., floorplanning, timing closure, or physical verification).

Languages

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

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