We are now looking for a Verification Engineer for our Memory Management Unit.
NVIDIA is seeking outstanding ASIC Verification Engineer to verify the world’s leading GPUs. This position offers the opportunity to have a 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.
What you’ll be doing:
As a member of our verification team, you'll understand the design & implementation with focus on Memory Management unit, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), implement test/coverage plans, and verify the correctness of the design.
Collaborate with architects, designers, software engineers across sites to accomplish your goals.
Plan and work on strategic direction of the methodology for the testbench with advance methodology.
What we need to see:
You have Bachelors or Masters Degree in Electrical Engineering or Computer Science or Computer Engineering or equivalent experience
Exposure to Computer Architecture, ASIC design and verification methodology is required
Strong ability with SystemVerilog, C and/or C++, test planning, coverage closure, and creating reusable verification components.
Knowledgeable in constrained random testing with functional coverage and assertion-based verification.
Understanding of object oriented programming concepts.
Exposure to simulation tools like VCS, IES and debug tools like Debussy, GDB.
Strong interpersonal skills.
Good debugging and problem solving skills.
Ways to stand out from the crowd:
Understanding of memory subsystem micro-architecture, cache topologies and policies, memory management, interconnects, and/or arbiter designs is a huge plus.
Experience with Universal Verification Methodology (UVM), SystemVerilog checkers and scoreboards. Assertion-based verification, Semiformal Verification (SFV).
Perl or Python knowledge.
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. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come join our GPU ASIC Verification team and help us build future architectures that will continue to drive us forward in the fields of High Performance Computing, Graphics and AI.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.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 a diverse 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
- Bachelors or Masters Degree in Electrical Engineering or Computer Science or Computer Engineering
- Exposure to Computer Architecture, ASIC design and verification methodology
- Strong ability with SystemVerilog, C and/or C++
- Knowledgeable in constrained random testing and assertion-based verification
- Understanding of object oriented programming concepts
- Exposure to simulation tools like VCS, IES and debug tools
- Strong interpersonal and debugging skills
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.”
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