Senior Design Verification Engineer - GPU Memory Subsystem
NVIDIA is hiring a Senior Design Verification Engineer - GPU Memory Subsystem in Durham, United States. 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 classes it as a senior role.
- NVIDIA has 2,600+ other open roles on Level.
AI in this role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We're looking for a talented, motivated Senior Design Verification Engineer to join our GPU memory subsystem team in Durham, NC. Looking to join a dynamic team solving complex verification challenges involving caches, coherency, pipelines, and arbitration? This pre-silicon position is perfect for you!
What you'll be doing:
Actively collaborate with RTL, DV, FV, and Arch teams to then develop and implement design verification strategies for our GPU ASIC memory subsystem IP.
Perform functional and performance verification using advanced tools and methodologies. Bring your innovative ideas to the table.
Gain a deep understanding of this critical IP's micro-architectural design and implementation while continuing to advance your verification skills.
What we need to see:
BS Degree in CompE, EE, CS, or equivalent experience
5+ years of experience covering the full scope of pre-silicon ASIC verification, including the development of verification strategy, test plans, tests, testbench components, regression triage, debug, and coverage closure and experience with industry standard tools
Working knowledge of computer architecture fundamentals and their constructs in Verilog/System Verilog
Ways to stand out from the crowd:
Strong analytical thought process and outstanding debug skills.
Experience with caches, coherency, complex pipelines, arbiters, or interconnect networks
Infrastructure development, use of AI to support design and verification development
Testbench development experience, especially with UVM components used in multiple levels of verification
Strong programming/scripting experience in Python or C++. Applying suitable algorithms, data structures, and error handling
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
Senior Design Verification Engineer - GPU Memory Subsystem at NVIDIA rates 28 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.
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.
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