About the role#
This is a full-time internship for Summer 2027 based in Santa Clara, California. You will work on internal CAD tools and silicon projection methodologies to support the development of computing hardware. The role focuses on the intersection of VLSI design, device modeling, Static Timing Analysis, and software development.
What you'll do#
- Research and develop compact device and system models to predict silicon timing behavior.
- Use Machine Learning and analytical techniques to speed up device and system timing characterization.
- Develop tools and methodologies to predict and improve silicon performance and reliability.
- Explore how physical effects like IR drop, crosstalk, aging, and thermal impact influence timing and design decisions.
What you'll need#
- Current enrollment in 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.
- Understanding of Machine Learning and statistics.
- Proficiency in scripting with Python, Perl, or Tcl.
- Familiarity with BSIM or other device compact models is helpful.
- Prior VLSI work experience or relevant academic projects in CAD Design are a plus.
Location & details#
- Location: Santa Clara, CA (On-site).
- Term: Summer 2027.
- Compensation: 20 USD to 94 USD per hour, depending on experience and education.
- Benefits: Eligible for intern benefits.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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