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NVIDIA

Designs the chips and software that power AI

Software Engineer Intern - DFT CAD Tools

Software EngineeringConfirmed live in the last 24 hours
Internship · Summer 2027Taipei City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • A master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
  • Strong C++ programming skills, including knowledge of modern C++ standards (C++11/14/17/20/23).
  • A solid understanding of algorithms and data structures.
  • Proficiency in at least one scripting language, such as Python or Tcl.
  • Strong interpersonal and English communication skills, and a desire to innovate.

Responsibilities

  • Design and develop in-house CAD software for Design for Test (DFT), building highly automated and customizable design flows with modular, object-oriented software architecture.
  • Work with users and the DFT methodology, implementation, and design teams to define software requirements and behavior.
  • Work with programming experts on algorithms, program architecture, and implementation.
  • Improve testing and verification infrastructure to ensure the software is correct, reliable, and high quality.
  • Support DFT and power methodologies for industry-leading chip designs.

Desired Qualifications

  • A passion for coding and experience developing CAD/EDA software.
  • An understanding of Design for Test, including Scan, ATPG, BIST, and JTAG.
  • An understanding of Verilog and ASIC design principles, including logic cells, or familiarity with IC design flows.
  • Knowledge of modern software testing frameworks and practices, such as gtest and TDD/BDD.
  • Experience with Perl, web services development, or AI-related technologies.

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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