NVIDIA is seeking a VLSI Timing Methodology Intern to work on projects combining VLSI design, device modeling, static timing analysis, software development, accelerated computing, and AI. The team develops large-scale internal CAD tools and silicon projection methodologies to support high-performance computing hardware. The intern will research and develop compact device and system models to predict time-zero and aged silicon timing in pre-silicon simulations. The role also involves applying machine learning and analytical techniques to accelerate timing characterization, developing tools and methodologies to predict and improve silicon performance and reliability, and exploring how physical effects such as IR drop, crosstalk, aging, and thermal impact influence timing and design decisions. This is a Summer 2027 internship. The expected hourly rate is USD 20–94, and interns are eligible for intern benefits. Applications will be accepted at least until November 8, 2026.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Career Level
Intern