Senior Design Verification Engineer - GPU Memory Subsystem

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

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.