N

NVIDIA

Designs the chips and software that power AI

Senior ASIC Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent experience.
  • At least 5 years of relevant experience.
  • Background in verification using random stimulus, functional coverage, and assertion-based verification methodologies.
  • Experience with design and verification tools, including VCS or equivalent simulation tools, and debug tools such as Debussy or GDB.
  • Experience crafting test bench environments for unit-level and system-level verification.
  • Expertise in SystemVerilog or a similar hardware verification language.
  • C++ programming experience, including a strong understanding of object-oriented programming principles, data structures, and algorithms.
  • Good working knowledge of computer architecture and digital design fundamentals.
  • Strong debugging and analytical skills.

Responsibilities

  • Verify the design and implementation of leading GPUs.
  • Verify ASIC design, architecture, golden models, and micro-architecture using advanced verification methodologies such as UVM or equivalent experience.
  • Understand the design and implementation of the assigned unit, define verification scope, develop verification infrastructure, and verify design correctness.
  • Collaborate with architects, designers, and pre-silicon and post-silicon verification teams.

Desired Qualifications

  • Prior experience with processor pipeline verification.

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

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs