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NVIDIA

Designs the chips and software that power AI

ASIC Verification Engineer

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

About the Job

Requirements

  • A Bachelor of Science, Master of Science, or equivalent experience.
  • At least 1 year of design experience.
  • Experience in ASIC verification of complex design units for at least one or two projects.
  • Experience with design and verification tools, including VCS or equivalent simulation tools and debug tools such as Debussy and GDB.

Responsibilities

  • Plan and implement IP, cluster, and system-on-chip functional verification of designs for Graphics Processors and Tegra system-on-chip products.
  • Create regression plans for code and close functional coverage.
  • Perform pre-silicon validation activities such as XPROP simulations and gate-level simulation.
  • Own ASIC verification of IP or clusters for complicated designs in register-transfer level.
  • Work with hardware architects and designers to make implementation choices.
  • Interact with performance verification teams to augment verification through dynamic simulations and/or formal verification techniques.
  • Work with specifications and ensure functional and code coverage of verified register-transfer-level designs.
  • Partner with and enable FPGA and software teams to ensure software is tested.
  • Participate in post-silicon verification and debugging.

Desired Qualifications

  • Exposure to SystemVerilog and Universal Verification Methodology (UVM)-based methodology for ASIC verification.
  • Knowledge of memory controllers or prior experience with verification of IP/clusters involving access to memory.
  • Scripting knowledge in 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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