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NVIDIA

Designs the chips and software that power AI

Verification Engineer - PCIE

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedHybrid

About the Job

Requirements

  • A Bachelor of Technology or Master of Technology degree with at least 2 years of relevant experience.
  • Experience in verification at the unit, subsystem, or system-on-chip level using Verilog and SystemVerilog.
  • Experience verifying intellectual property or interconnect protocols such as PCI Express, USB, or SATA.
  • Experience developing and working in functional-coverage-based constrained-random verification environments.
  • Experience with design verification methodologies such as Universal Verification Methodology or Verification Methodology, and exposure to industry-standard verification tools for simulation and debug.

Responsibilities

  • Verify the design, architecture, golden models, and microarchitecture of PCI Express controllers at the intellectual-property and subsystem levels using verification methodologies such as Universal Verification Methodology.
  • Build reusable bus functional models, monitors, checkers, and scoreboards using coverage-driven verification methodology.
  • Understand design specifications and implementations, define verification scope, develop test plans and tests, develop verification infrastructure, and verify design correctness.
  • Collaborate with architects, designers, and pre- and post-silicon verification teams.

Desired Qualifications

  • Knowledge of the PCI Express protocol, Generation 3 and above.
  • Proficiency in testbench development using SystemVerilog.
  • Experience with Perl, Python, or a similar scripting and software programming language.
  • Strong problem-solving, 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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