NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world’s leading GPUs. In this role, you will be doing unit level verification of the process scheduling and system interface hardware of the GPU. This position will be working across many NVIDIA teams from software, to architecture, design, methodology, and more. The GPU is used in applications from consumer graphics, through self-driving cars, to artificial intelligence, all of which you will be involved in and learn about. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the methodology for verifying the future of computing.
What you’ll be doing:
Work on a unit level testbench, working on directed and random tests and test infrastructure, and contributing to the future direction of the methodology for the testbench
Partner closely with RTL and architecture teams to help refine the microarchitecture plans to ensure that changes to the design are verifiable
Architect and plan the verification strategy and execution for sub-system features impacting your unit
Support post-silicon validation activities
Harness cutting-edge AI to accelerate testbench development, task automation, debugging and problem-solving in a paradigm-shifting way
What we need to see:
BS or MS in electrical engineering or computer engineering or similar area (or equivalent experience)
5+ years of verification experience
Exposure to Computer Architecture, ASIC design and verification methodology is required
Strong ability with SystemVerilog, test planning, coverage closure, and test bench design
Understanding of object oriented programming concepts
Strong communication skills.
Ability and desire to work as a great teammate
Good debugging and problem solving skills
Ways to stand out from the crowd:
Experience with assertion-based verification, Semiformal Verification (SFV), Unified Verification Methodology (UVM), SystemVerilog checkers and scoreboards.
Perl or Python knowledge
Experience with multiple verification methodologies
Leadership experience
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. Do you want to work at the boundary of software, hardware, and forefront of technology? Would you love the challenge of creating the highest performance chips in the industry? If so, we want to hear from you
#LI-Hybrid
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:136,000 USD – 218,500 USD for Level 3; and 168,000 USD – 264,500 USD for Level 4.
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 or master’s degree in electrical engineering, computer engineering, or a similar area, or equivalent experience
- 5+ years of verification experience
- Exposure to computer architecture, ASIC design, and verification methodology
- Strong SystemVerilog skills
- Experience with test planning, coverage closure, and testbench design
- Understanding of object-oriented programming concepts
- Strong communication skills
- Ability and desire to work effectively as a teammate
- Good debugging and problem-solving skills
- Experience with assertion-based verification, Semiformal Verification, UVM, SystemVerilog checkers, and scoreboards
- Perl or Python knowledge
- Experience with multiple verification methodologies
- Leadership experience
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
