VLSI CAD Timing Intern, Applied AI - Summer 2027

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to resolve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. 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. What You’ll Be Doing: 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.