NVIDIA is seeking a Senior Design Verification Engineer to verify the design and implementation of the next generation of High Speed I/O controllers for the world’s leading SOCs and GPUs. 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 extraordinary 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. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science.
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:
Be responsible for the verification of ASIC design, architecture, golden models and micro-architecture of High Speed I/O controllers, like Ethernet and NVLink, at IP/sub-system levels using advanced DV methodologies such as UVM.
Building reusable bus functional models, monitors, checkers and scoreboards following coverage driven verification methodology.
Understanding the design specification and implementation, defining the verification scope, developing test plans, tests, and the verification infrastructure used to verify the correctness of the design.
Collaborating with architects, designers, and pre and post silicon verification teams to accomplish your tasks.
What we need to see:
Bachelors or Masters Degree (or equivalent experience) with 5+ years of relevant experience
Experience at Unit/Sub-system/SOC level and expertise in SystemVerilog, UVM
Expertise in comprehensive verification of IP or interconnect protocols (e.g. Ethernet, USB, SATA)
Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies (UVM) and exposure to industry standard verification tools for simulation
Excellent debugging, analytical, and problem solving skills
Great communication and collaboration skills to interact within the team and across functional teams
Ways to stand out from the crowd:
Good understanding of the system level architecture of HSIO-based designs, like Ethernet or CXL
Experience with Perl, Python or similar scripting and/or SW programming languages is highly desireable
Experience with AI-enabled code assist or root-cause analysis tools
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 at NVIDIA. Are you a creative and autonomous engineer who loves a challenge? Join our HSIO Verification team and help us build future interconnect 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 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, or equivalent experience
- 5+ years of relevant experience
- Unit, subsystem, or SoC-level verification experience
- Expertise in SystemVerilog and UVM
- Experience verifying IP or interconnect protocols such as Ethernet, USB, or SATA
- Experience with random stimulus, functional coverage, and assertion-based verification
- Exposure to industry-standard simulation verification tools
- Excellent debugging, analytical, and problem-solving skills
- Strong communication and collaboration skills
- Understanding of HSIO system-level architectures such as Ethernet or CXL
- Experience with Perl, Python, or similar scripting or software programming languages
- Experience with AI-enabled code-assist or root-cause-analysis tools
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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