NVIDIA is seeking an elite Senior Verification Engineer to verify the design and implementation of the next generation of memory subsystem units for the world’s leading GPUs and SOCs. 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 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.
The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as “the AI computing company.”
What you’ll be doing:
You will be responsible for verifying the ASIC design, architecture and micro-architecture of memory sub-systems/units using advanced verification methodologies.
Understand the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design.
Coming up come up with test plans, tests and verification infrastructure for complex IPs/sub-systems.
Build reusable bus functional models, monitors, checkers and scoreboards following coverage driven verification methodology.
Work on advanced verification methodologies like SV/UVM.
Perform functional coverage driven verification closure.
Working with architects, designers, and pre and post silicon verification teams to accomplish your tasks.
What we need to see:
B.Tech./ M.Tech., or equivalent experience.
4+ years of relevant experience.
Experience in verification of complex IPs/units and sub-systems.
Background in verification using random stimulus along with functional coverage and assertion-based verification methodologies.
Expertise in Verilog.
Knowledge in SystemVerilog or similar HVL / UVM or VMM.
Ways to stand out from the crowd:
Experience in memory subsystem or network interconnect IP verification.
Debugging and analytical skills with sound scripting knowledge.
Good communication and excellent team player.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#LI-Hybrid
Skills Required
- 4+ years of relevant experience
- Experience in verification of complex IPs/units and sub-systems
- Expertise in Verilog
- Knowledge in SystemVerilog or similar HVL / UVM or VMM
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.”
