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NVIDIA

Designs the chips and software that power AI

ASIC Physical Design Intern

Silicon & ASIC DesignConfirmed live in the last 24 hours
InternshipShanghai, ChinaNo salary listedIn-person

About the Job

Requirements

  • Currently pursuing a Master's or PhD degree in a relevant or related field.
  • Have strong knowledge of integrated circuit design.
  • Be proficient in reading and writing English.

Responsibilities

  • Perform chip integration and netlist generation, and collaborate across teams on chip partitioning and floorplanning.
  • Perform synthesis, RTL/netlist quality checks, formal verification, and function engineering change order creation.
  • Create and validate constraints and timing budgets, and work with the ASIC team to analyze and resolve functional timing issues and achieve timing closure for input/output, test, clock, and asynchronous paths.
  • Work with physical implementation engineers on chip implementation to achieve full-chip timing closure.
  • Develop and improve the timing closure flow from frontend pre-layout through backend post-layout, including flow automation for these areas.
  • Contribute to methodology in any of the above areas.

Desired Qualifications

  • Have experience in integrated circuit backend implementation.
  • Have hands-on experience with Synopsys electronic design automation software, including Design Compiler, PrimeTime, and Formality, or Cadence software, including RC Compiler and LEC.
  • Be proficient in Python or Tcl.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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