We are now looking for a Verification Engineer - Memory Subsystem. NVIDIA is seeking passionate, highly motivated, and innovative verification engineers to join the Graphics Engineering team working on the verification of powerful memory subsystem IPs used in their industry-leading Graphics Processors. This position offers the opportunity to have a real impact in a dynamic, technology-focused company creating ripples in the field of artificial intelligence with ground breaking product lines ranging from data centers to consumer graphics and self-driving cars. 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:
Responsibility includes verifying the design, architecture and micro-architecture using sophisticated verification methodologies
Work on the development of the verification infrastructure components (functional models/scoreboards/setting up new verification environments) for complex IPs using UVM methodology
Define the verification scope, develop testplans and work on functional coverage driven verification closure
Collaborate with architects, designers, software engineers, post-silicon teams across sites for innovative and timely solutions
What we need to see:
BS /MS in EE/ECE with 2+ years of experience
Exposure to verification closure of complex IP/sub-system for at least one project
Expertise in industry-standard verification flows like SV random testing, UVM, FV, coverage metrics, profiling tools, X prop, etc.
Strong coding skills in SV
Passion for debugging and good problem solving skills
Strong communication and interpersonal skills
Ways to stand out from the crowd:
Prior verification experience related to memory subsystem/network interconnect IPs is a huge plus
Familiarity with memory subsystem concepts such as cache coherency, memory consistency models, arbitration policies, high-speed IO protocols and/or on-chip interconnect
Familiar with scripting languages (Perl/python).
NVIDIA is 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. If you are creative, curious and motivated, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
#LI-Hybrid
Skills Required
- BS/MS in EE/ECE with 2+ years of experience
- Exposure to verification closure of complex IP/sub-system for at least one project
- Expertise in industry-standard verification flows like SV random testing, UVM, FV, coverage metrics, profiling tools, X prop
- Strong coding skills in SV
- Passion for debugging and strong problem solving skills
- Strong communication and interpersonal skills
- Prior verification experience related to memory subsystem or network interconnect IPs
- Familiarity with memory subsystem concepts such as cache coherency, memory consistency models, arbitration policies, high-speed IO protocols and/or on-chip interconnect
- Familiar with scripting languages (Perl, Python)
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.”
