GPU Verification Engineer

NVIDIA is hiring a GPU Verification Engineer. It pays $136k-$219k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

We are now looking for a GPU Verification Engineer.

NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world’s leading GPUs. This position offers the opportunity to have real impact in a progressive, 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 outstanding 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.

What You'll Be Doing:

As a member of the GPU verification team, you will be responsible for verifying the ASIC design, architecture and micro-architecture of NVIDIA GPUs and SoCs using sophisticated verification methodologies.
You are encouraged to understand the design and its implementation, define the verification scope, develop the test plans and coordinate tasks within the GPU verification teams.
Design and develop test generators that will verify and validate the CPU and GPU interactions, memory coherency and consistency.
Develop the verification infrastructure using state of the art verification methodologies and tools.
Collaborate with architects, designers, pre- and post-silicon verification teams to accomplish your tasks.

What We Need to See:

A Bachelor's Degree (or equivalent experience) in Electrical Engineering, Computer Engineering or Computer Science
5+ years of meaningful work experience or a Bachelor's degree (or equivalent experience) in the same fields with 2+ years of equivalent experience.
Ability to program in C/C++ and automate/write scripts in Perl/Python/shell.
Your work displays a passion for debugging and highlights your strong problem solving abilities.
A strong background in computer architecture and memory models is needed.
Exposure to design and verification tools (VCS, emulation, FPGA, debug tools) is a plus.
Strong communication and interpersonal skills are required along with the ability to operate in a dynamic and distributed team.

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
136,000 USD – 218,500 USD for Level 3; and 168,000 USD – 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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

GPU Verification Engineer at NVIDIA rates 22 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

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