VLSI Timing Methodology Intern - Summer 2027

NVIDIA • Santa Clara, CA

3d

About The Position

NVIDIA's team combines high-performance software and VLSI hardware design to build large-scale internal CAD tools and silicon projection methodologies. The intern will work on projects spanning VLSI design, device modeling, static timing analysis, software development, accelerated computing, and AI, contributing to methods for delivering high-performance computing hardware.

Requirements

• Currently enrolled in and pursuing a master's degree or higher in Electrical Engineering, Computer Engineering, or a related field.
• Knowledge of digital circuit design, MOSFET device physics, and static timing analysis.
• Experience in VLSI backend design.
• Good understanding of machine learning and statistics.
• Knowledge of or experience with scripting in Python, Perl, or Tcl.

Nice To Haves

• Prior VLSI work experience or internships.
• Familiarity with BSIM or other device compact models.
• Coursework or academic projects in VLSI design or CAD design.

Responsibilities

• Research and develop compact device and system models to predict time-zero and aged silicon timing behavior in pre-silicon simulations.
• Use machine learning and analytical techniques to accelerate device and system timing characterization.
• Develop tools and methodologies to predict and improve silicon performance and reliability beyond what industry-standard tools can achieve alone.
• Explore how physical effects, including IR drop, crosstalk, aging, and thermal impact, influence timing and design decisions.

Benefits

• Eligible for intern benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern