VLSI Timing Methodology Intern – Summer 2027
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is seeking innovative candidates to combine advances in high-performance software and VLSI hardware design to craft large-scale internal CAD tools and silicon projection methodologies.
This internship offers the opportunity to work across VLSI design, device modeling, Static Timing Analysis, software development, accelerated computing, and AI.
Applications for this job will be accepted at least until November 8, 2026. This posting is for an existing vacancy.
Key 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 (e.g., IR drop, crosstalk, aging, thermal impact) influence timing and design decisions.
Qualifications
- Currently enrolled and pursuing a Master's degree or higher in Electrical Engineering, Computer Engineering, or a 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 is a plus.
- Familiarity with BSIM or other device compact models.
- Coursework or academic projects in VLSI Design or CAD Design.
Benefits
- Expected hourly rate: 20 USD – 94 USD (standard pay based on the position, location, year in school, degree, and experience).
- Eligible for Intern benefits.
Job details
- Location: Not specified (Remote/hybrid/on-site details not provided)
- Minimum experience: Current Master's student or higher
- Work authorization: Not specified
About the company
NVIDIA has continuously reinvented itself over two decades, starting with the invention of the GPU in 1999, which sparked the PC gaming market, redefined modern graphics, and revolutionized parallel computing.
Today, GPU deep learning has ignited modern AI, driving our mission to amplify human inventiveness and intelligence through adaptive innovation.
Additional information
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
