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NVIDIA

Designs the chips and software that power AI

GPU Core Pipeline IP Verification Engineer

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

About the Job

Requirements

  • A B.Tech. or M.Tech. and at least 1 year of relevant experience.
  • Familiarity with Verilog, C++, and object-oriented programming concepts.
  • Hands-on experience in verification at unit, subsystem, or system-on-chip level.
  • Background with design and verification tools, including VCS or equivalent simulation tools and debug tools such as Debussy or GDB.
  • A good understanding of computer architecture concepts.
  • Strong technical fundamentals, analytical skills, and problem-solving skills.

Responsibilities

  • Verify graphics and compute features within an intellectual-property block as a member of the ASIC Verification team.
  • Perform IP-level verification of GPU ASICs, including design, architecture, golden models, and microarchitecture, using advanced verification tools and methodologies.
  • Work with specifications and ensure functional and code coverage for the RTL being verified.
  • Understand the design and implementation, define verification scope, develop verification infrastructure, and verify design correctness.
  • Work with hardware architects and designers to make implementation choices.
  • Collaborate with architects, designers, and other members of the verification teams to accomplish assigned work.

Desired Qualifications

  • Knowledge of SystemVerilog or a similar hardware verification language, and experience with verification methodologies such as UVM or VMM.
  • Exposure to industry-standard simulation and debug verification tools.
  • 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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