VLSI CAD Timing Intern, Applied AI - Summer 2027

$0k - $0k • Remote • US, CA, Santa Clara

Posted 2d ago

Remote Work Policy

Fully remote

Categories

AI Engineer

About the job

NVIDIA is seeking a VLSI CAD Timing Intern focused on Applied AI for Summer 2027. This role involves end-to-end solution development for timing and constraint analysis workflows, including data generation, model training, orchestration, and agentic automation. You will join 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. This is an opportunity to contribute to a "learning machine" that constantly evolves by adapting to new opportunities that matter to the world, amplifying human inventiveness and intelligence.

Responsibilities

  • Support static timing analysis (STA) flows using industry tools like PrimeTime and Tempus for advanced ASIC designs.
  • Develop and automate timing, constraints, and QoR validation flows using scripting and data-driven methods.
  • Analyze 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 AI- or analytics-assisted approaches for timing analysis, constraint checking, or flow optimization.
  • Explore the influence of physical effects (e.g., IR drop, crosstalk, aging, thermal impact) on timing and design decisions.

Requirements

  • 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).
  • Familiarity with the basics of static timing analysis, constraints, or digital design flows.
  • Knowledge in scripting or programming (Python preferred).
  • Comfort working with data, reports, and technical problem-solving in complex systems.

Benefits

  • Intern benefits

About nvidia

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