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NVIDIA

Designs the chips and software that power AI

Design Verification Engineer Intern

Hardware Validation & TestingConfirmed live in the last 24 hours
InternshipHsinchu, Hsinchu City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • A Master's degree in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent work experience.
  • Proficiency in object-oriented programming.
  • Proficiency with AI agents and AI-enabled automation workflows.
  • Fundamental knowledge of digital build principles.
  • Ability to adhere strictly to verification protocols and methodologies.

Responsibilities

  • Collaborate with architecture, SoC, and IP teams to define the scope of verification.
  • Plan tests to ensure thorough execution.
  • Apply C, SystemVerilog, and UVM methodologies to verify builds at block and full-chip levels.
  • Contribute to the development of verification strategies and processes.
  • Determine and solve complex verification challenges.
  • Develop verification environments and verification plans, create and debug test cases, build checkers and coverage, run regressions, and analyze functional and code coverage.
  • Work with design and architecture teams to understand specifications, identify corner cases, debug RTL issues, and ensure high-quality IP through comprehensive verification.

Desired Qualifications

  • Hands-on experience building or integrating AI agents to automate and improve engineering workflows, such as code generation, debugging, verification, or data analysis.
  • Experience writing C++ and SystemC models.
  • Proficiency in scripting with Python, Perl, Tcl, Make, and shell.
  • Demonstrated experience implementing complex verification strategies.
  • A proven track record on high-stakes engineering projects.

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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