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NVIDIA

Designs the chips and software that power AI

Senior ASIC Verification Engineer - High Speed I/O

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

About the Job

Requirements

  • A Bachelor's or Master's degree, or equivalent experience, and at least 5 years of relevant experience.
  • Experience at unit, subsystem, or system-on-chip level, with expertise in SystemVerilog and Universal Verification Methodology (UVM).
  • Expertise in comprehensive verification of intellectual property or interconnect protocols such as Ethernet, USB, or SATA.
  • Experience using random stimulus, functional coverage, and assertion-based verification methodologies, including UVM, and exposure to industry-standard simulation verification tools.
  • Strong debugging, analytical, and problem-solving skills.
  • Communication and collaboration skills to interact within the team and across functional teams.

Responsibilities

  • Verify ASIC design, architecture, golden models, and microarchitecture for High Speed I/O controllers such as Ethernet and NVLink at IP and subsystem levels using advanced design verification methodologies such as UVM.
  • Build reusable bus functional models, monitors, checkers, and scoreboards following coverage-driven verification methodology.
  • Understand design specifications and implementation; define verification scope; develop test plans, tests, and verification infrastructure to verify design correctness.
  • Collaborate with architects, designers, and pre- and post-silicon verification teams.

Desired Qualifications

  • Good understanding of system-level architecture for HSIO-based designs such as Ethernet or CXL.
  • Experience with Perl, Python, or similar scripting and/or software programming languages.
  • Experience with AI-enabled code-assist or root-cause-analysis tools.

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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