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NVIDIA

Designs the chips and software that power AI

PCIe IP Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • B.Tech., M.Tech, or equivalent experience.
  • At least 2 years of relevant experience.
  • Experience verifying designs at unit, subsystem, or system-on-chip level, with expertise in Verilog and SystemVerilog.
  • Expertise in comprehensive verification of IP or interconnect protocols such as PCI Express, USB, or SATA.
  • Experience developing and working in functional-coverage-based constrained-random verification environments.
  • Background in design-verification methodologies such as UVM or VMM, and exposure to industry-standard simulation and debug tools.

Responsibilities

  • Verify ASIC design, architecture, golden models, and microarchitecture of PCIe controllers at IP and subsystem levels using 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; and verify design correctness.
  • Collaborate with architects, designers, and pre- and post-silicon verification teams.

Desired Qualifications

  • Excellent knowledge of PCIe protocol, Gen3 and above.
  • Good understanding of system-level architecture of PCIe- or CXL-based designs.
  • Experience with Perl, Python, or similar scripting and software programming languages.
  • Good debugging and analytical skills.

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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