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NVIDIA

Designs the chips and software that power AI

ASIC Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A BS or MS in Electrical Engineering or Electrical and Computer Engineering, or equivalent experience.
  • At least 3 years of design verification experience.
  • A good understanding of logic design and architecture.
  • Expertise in industry-standard verification flows, including SystemVerilog constraint-random verification, Universal Verification Methodology (UVM), formal verification, coverage metrics, profiling tools, and X-propagation.
  • Exposure to block-level and system-level verification.
  • Strong coding skills in SystemVerilog, scripting languages such as Perl and Python, and C++.
  • Ability to collaborate and work with multiple groups.
  • Prior experience implementing test plans for pre-silicon platforms.

Responsibilities

  • Own validation of clocking structures in Tegra and GPU products from start to finish, including test plan development, automation, validation-flow development, coverage metrics, test execution, bug identification and fixes, and productization.
  • Tackle sophisticated problems and develop scalable solutions that work across platforms.
  • Use industry-standard tools and state-of-the-art verification methodologies, including SystemVerilog, UVM, C++, Perl, Python, and NVIDIA custom compilers and tools.
  • Partner closely with the clocks architecture and design team to validate clock designs.
  • Coordinate with internal and external teams across time zones.

Desired Qualifications

  • Previous experience automating tasks in the design verification process.
  • Hands-on experience in object-oriented programming.
  • Prior design or verification experience at the IP or block level.
  • Experience developing methodologies used by others.
  • Demonstrated ability to drive a project to completion.

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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