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NVIDIA

Designs the chips and software that power AI

Senior Design Verification Engineer - GPU Memory Subsystem

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeDurham, NC, USAIn-person

About the Job

Requirements

  • A Bachelor of Science degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.
  • At least five years of experience covering the full scope of pre-silicon ASIC verification, including developing verification strategy, test plans, tests, and testbench components; regression triage; debugging; coverage closure; and using industry-standard tools.
  • Working knowledge of computer architecture fundamentals and their constructs in Verilog and SystemVerilog.

Responsibilities

  • Collaborate with RTL, DV, formal verification, and architecture teams to develop and implement design verification strategies for GPU ASIC memory subsystem IP.
  • Perform functional and performance verification using advanced tools and methodologies.
  • Develop understanding of the IP's micro-architectural design and implementation while advancing verification skills.

Desired Qualifications

  • Strong analytical thinking and debugging skills.
  • Experience with caches, coherency, complex pipelines, arbiters, or interconnect networks.
  • Infrastructure development and use of AI to support design and verification development.
  • Testbench development experience, especially with UVM components used at multiple levels of verification.
  • Strong programming and scripting experience in Python or C++, including applying suitable algorithms, data structures, and error handling.

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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