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NVIDIA

Designs the chips and software that power AI

Verification Engineer - PCI Express

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

About the Job

Requirements

  • B.Tech. or M.Tech. with at least 2 years of relevant experience.
  • Experience in verification at unit, subsystem, or system-on-chip level using Verilog and SystemVerilog.
  • Background 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 Manual, and exposure to industry-standard verification tools for simulation and debug.

Responsibilities

  • Verify the design, architecture, golden models, and microarchitecture of application-specific integrated circuit PCI Express controllers at intellectual-property and subsystem levels using verification methodologies such as Universal Verification Methodology.
  • 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

  • Knowledge of PCI Express protocol, Generation 3 and above.
  • Proficiency in testbench development using SystemVerilog.
  • Experience with Perl, Python, or similar scripting and software programming languages.

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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