NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years — fueled by great technology and amazing people. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. We are seeking a skilled Senior Verification Engineer to join our Display Team and help verify the world's foremost GPU and SoC display engines! Working alongside our Architects and ASIC Engineers, you will own testplan development, verification sign-off, and infrastructure — delivering high-quality IPs that power NVIDIA products across consumer, professional, automotive, and AI markets.
What You'll Be Doing:
Define verification scope, develop and drive testplans (functional and performance), and build scalable UVM-based infrastructure; leverage agentic AI to automate repetitive tasks, accelerate debug, and sharpen team efficiency.
Develop UVM testbenches and checkers; work with C/C++-based testbenches and debug reference models and designs developed in HLS; track metrics and drive coverage closure.
Critically reason through architectural solutions and partner with our architects to develop well-crafted, silicon-proven designs.
Collaborate across NVIDIA sites globally and work closely with external partners and customers to deploy verification flows, ensure consistent display IP behavior across diverse tool stacks, and debug complex integration issues across organizational boundaries.
What We Need to See:
BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or related field (or equivalent experience)
10+ years of relevant experience.
Strong hands-on expertise in UVM, SystemVerilog, Verilog, Python, and C/C++, with a passion for root-causing complex issues; experience with constrained-random stimulus, functional coverage, assertion-based verification, and C/C++-based testbenches — ideally on shipped silicon.
Proficiency with industry EDA tools (VCS, Verdi/Debussy, GDB) and strong software engineering practices: clean, maintainable code; version control; code review.
Domain knowledge of display pipelines: protocols (DisplayPort, HDMI, MIPI DSI/CSI), MMU interaction with ISO clients, and system low-power features (clock gating, power domains, retention, entry/exit sequences).
Self-starter who dives into unfamiliar sub-blocks independently, communicates with clarity across time zones and organizational boundaries, and embraces agentic AI to solve daily engineering challenges and multiply team output.
Ways to Stand Out from the Crowd:
Prior Display Unit Verification experience with familiarity in pixel processing, ISO performance testing, and HLS-based designs.
Hands-on experience verifying display protocols end-to-end, MMU/SMMU behavior under ISO traffic, and system-level low-power sequences.
Demonstrated experience shaping architectural specifications and micro-architecture decisions — not just implementing against them.
NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, 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:168,000 USD – 264,500 USD for Level 4; and 196,000 USD – 310,500 USD for Level 5.
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
- BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or related field (or equivalent experience)
- 10+ years of relevant experience
- Hands-on expertise in UVM, SystemVerilog, Verilog, Python, and C/C++
- Experience with constrained-random stimulus, functional coverage, assertion-based verification, and C/C++-based testbenches (ideally on shipped silicon)
- Proficiency with industry EDA tools (VCS, Verdi/Debussy, GDB) and strong software engineering practices (version control, code review, maintainable code)
- Domain knowledge of display pipelines and protocols (DisplayPort, HDMI, MIPI DSI/CSI), MMU interaction with ISO clients, and system low-power features
- Self-starter with strong communication across time zones and ability to independently dive into unfamiliar sub-blocks; embraces agentic AI for productivity
- Prior Display Unit Verification experience, pixel processing, ISO performance testing, and HLS-based designs
- Hands-on experience verifying display protocols end-to-end, MMU/SMMU behavior under ISO traffic, and system-level low-power sequences
- Demonstrated experience shaping architectural specifications and micro-architecture decisions
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.”
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