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
You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience
- 5+ years of full-scope pre-silicon ASIC verification experience
- Experience developing verification strategies, test plans, tests, testbench components, regression triage, debugging, and coverage closure
- Experience with industry-standard verification tools
- Working knowledge of computer architecture fundamentals and Verilog/SystemVerilog constructs
- Strong analytical thinking and debugging skills
- Experience with caches, coherency, complex pipelines, arbiters, or interconnect networks
- Infrastructure development or use of AI to support design and verification development
- Testbench development experience, particularly reusable UVM components
- Strong Python or C++ programming and scripting skills, including algorithms, data structures, and error handling
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
