Level

NVIDIA

ASIC Verification Engineer - GPU

NVIDIA is hiring an ASIC Verification Engineer - GPU in Santa Clara, United States. It pays $116k-$190k a year and Level rates it ; you can apply on Level.

AI in this role

NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.


In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality.


What you'll be doing:

  • As a key member of our ASIC Verification team, you will verify the design and implementation of the industry's leading GPUs
  • You will be responsible for verification of the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM
  • Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design
  • Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks

What we need to see:

  • Bachelors Degree in EE, CS or CE or equivalent experience
  • 2+ years of relevant experience
  • Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies
  • Background with design and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, GDB)
  • Experience crafting test bench environments for unit and system level verification
  • Strong background in System Verilog or similar HVL
  • Expertise with C/C++ programming language

Ways to stand out: from the crowd:

  • Prior experience with processor verification, including instruction pipelines and caches, is desirable
  • Expert debugging and analytical skills
  • Strong communication skills and ability & desire to work as a great teammate are a huge plus

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of computing, graphics and AI.


#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 19, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

ASIC Verification Engineer - GPU at NVIDIA rates 7 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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