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NVIDIA

Designs the chips and software that power AI

Verification Engineer - GPU Fullchip

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

About the Job

Requirements

  • B.Tech., M.Tech., or equivalent experience with at least 2 years of relevant experience.
  • Proficiency in Verilog and C.
  • Familiarity with object-oriented programming concepts.
  • Hands-on experience in verification at the unit, subsystem, or system-on-chip level.
  • Good understanding of computer architecture concepts.
  • Strong technical fundamentals and analytical and problem-solving skills.
  • Exposure to industry-standard verification tools for simulation and debug.

Responsibilities

  • Verify the design and implementation of GPUs as a member of the ASIC Verification team.
  • Verify ASIC design, architecture, golden models, and GPU microarchitecture and full-chip level using advanced verification tools and methodologies.
  • Build reusable bus functional models, traffic generators, monitors, checkers, and scoreboards following coverage-driven verification methodology.
  • Understand the design and implementation, define the verification scope, develop verification infrastructure, and verify design correctness.
  • Work with architects, designers, and pre- and post-silicon verification teams.

Desired Qualifications

  • Knowledge of SystemVerilog or a similar hardware verification language.
  • Experience with verification methodologies such as UVM or VMM.
  • Prior experience in 3D graphics processing or processor verification.
  • C/C++ programming language experience.
  • Experience in scripting and tool development using Perl and Python.

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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