Description
Join NVIDIA's team as an intern in VLSI design and device modeling. You will research and develop compact device and system models to predict silicon behavior, use machine learning and analytical techniques to speed up device and system timing characterization, and develop tools and methodologies to predict and improve silicon performance and reliability.
Responsibilities:
- Research and develop compact device and system models to predict silicon, both time-0 and aged, timing behavior in pre-silicon simulation world
- 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 beyond what industry standard tools can offer alone
- Explore how physical effects influence timing and design decisions
Requirements:
- Currently enrolled and pursuing a Master's degree or higher in Electrical Engineer, Computer Engineering, or related field
- Knowledge in digital circuit design, MOSFET device physics, and Static Timing Analysis
- Experience in VLSI backend design
- Good understanding of Machine Learning and statistics
- Shown knowledge or experience with scripting in Python, Perl, or Tcl
Nice to Have:
- Prior VLSI working experience or internships
- Familiarity with BSIM or other device compact models
- Coursework or academic projects in VLSI Design or CAD Design
What We Offer:
- Competitive hourly rate ($20-$94 USD)
- Intern benefits
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