About the role#
This internship focuses on the intersection of VLSI design, device modeling, and machine learning. You will join a team that builds internal CAD tools and silicon projection methodologies to support high-performance computing hardware. You will work on projects that bridge software development and hardware design.
What you'll do#
- Research and develop compact device and system models to predict silicon timing behavior for both time-0 and aged conditions.
- Apply machine learning and analytical techniques to accelerate device and system timing characterization.
- Create tools and methodologies to predict and improve silicon performance and reliability beyond standard industry offerings.
- Investigate 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 program or higher in Electrical Engineering, Computer Engineering, or a related field.
- Knowledge of digital circuit design, MOSFET device physics, and Static Timing Analysis.
- Experience with 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 coursework in VLSI or CAD design is a plus.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Modality: On-site.
- Employment: Full-time paid internship.
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
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
