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NVIDIA

Designs the chips and software that power AI

Verification Engineer - Memory Subsystem

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

About the Job

Requirements

  • A B.Tech. or M.Tech. and at least 2 years of relevant experience.
  • Experience verifying complex IPs, units, and subsystems.
  • Experience using random stimulus, functional coverage, and assertion-based verification methodologies.
  • Expertise in Verilog.
  • Knowledge of SystemVerilog or a similar hardware verification language.
  • Familiarity with verification methodologies such as UVM or VMM and exposure to industry-standard simulation and debug tools.

Responsibilities

  • Verify ASIC design, architecture, and microarchitecture using advanced verification methodologies.
  • Understand the design and implementation, define verification scope, develop verification infrastructure, and verify design correctness.
  • Create test plans, tests, and verification infrastructure for complex IPs and subsystems.
  • Perform performance and deadlock verification of the GPU memory subsystem unit.
  • Build reusable bus functional models, monitors, checkers, and scoreboards using coverage-driven verification methodology.
  • Perform functional coverage-driven verification closure.
  • Work with architects, designers, and pre- and post-silicon verification teams.

Desired Qualifications

  • Experience verifying memory subsystem or network interconnect IP.
  • Knowledge of scripting languages such as Python, Perl, or shell.

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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