VLSI Timing Methodology Intern - Summer 2027
NVIDIAJob Title
VLSI Timing Methodology Intern - Summer 2027
Role Summary
Join a VLSI CAD and silicon-projection team that develops high-performance tools and methodologies to predict and improve silicon timing, performance, and reliability. Projects combine device modeling, static timing analysis, software development, and machine learning to advance pre-silicon timing methodologies.
Experience Level
Entry-level internship (student intern).
Responsibilities
Work on research and engineering tasks to model and analyze timing behavior and to develop related tools and methodologies.
- Research and develop compact device and system models to predict time-zero and aged silicon timing.
- Apply 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 standard industry tools.
- Analyze the impact of physical effects (IR drop, crosstalk, aging, thermal effects) on timing and design decisions.
Requirements
Must-have technical skills and experience.
- Knowledge of digital circuit design, MOSFET device physics, and static timing analysis (STA).
- Experience with VLSI backend design workflows.
- Familiarity with machine learning and statistics for modeling or characterization tasks.
- Experience scripting in Python, Perl, or Tcl.
- Strong analytical and software development skills for tool and methodology implementation.
Nice-to-have:
- Prior VLSI work experience or related internships.
- Familiarity with BSIM or other device compact models.
- Coursework or projects in VLSI design or CAD.
Education Requirements
Currently enrolled and pursuing a Master’s degree or higher in Electrical Engineering, Computer Engineering, or a related field.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
