We're now looking for a Senior Digital Design Verification Engineer! NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join our diverse team today!
As a Senior Digital Design Verification Engineer at NVIDIA, you'll verify the design and implementation of our cutting edge SerDes IPs. This ground breaking technology will enable and accelerate gaming, artificial intelligence, deep learning, and autonomous driving. We have put together a best-in-class team that delivers IPs that will be consumed by standard as well as industry-leading proprietary high-speed protocols!
What you’ll be doing:
Verification of the digital design, golden models and micro-architecture of the SerDes IPs using advanced verification methodologies such as UVM.
Build reusable bus functional models, monitors, checkers and scoreboards following coverage driven verification methodology.
Responsible for understanding the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design.
Write and implement test plan and thoroughly verify a design in a product shipment focused / compressed schedule.
Work 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) in Electrical Engineering, Computer Science, or Computer Engineering
At least 5 years of validated experience.
Background in verification at Unit/Sub-system/SOC level and expertise in SystemVerilog a must.
Experience using random stimulus along with functional coverage and assertion-based verification methodologies a must.
Experience in verification methodologies like UVM/VMM and exposure to industry standard verification tools for simulation and debug.
Ways to stand out from the crowd:
Expertise in bus or interconnect protocols (e.g. PCI Express, USB, SATA) a huge plus.
Experience in verifying complex SerDes system, understanding mixed-signal designs, and have experience in modeling of analog circuits a huge plus.
Perl, Python, C/C++ programming language experience.
Good debugging and analytical skills.
Good interpersonal skills & dream to work as a phenomenal teammate.
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
- Bachelor's or Master's degree in Electrical Engineering, Computer Science, or Computer Engineering (or equivalent experience)
- At least 5 years of validated experience
- Background in verification at Unit/Sub-system/SOC level
- Expertise in SystemVerilog
- Experience using random stimulus with functional coverage and assertion-based verification methodologies
- Experience with verification methodologies like UVM/VMM and exposure to industry-standard verification tools for simulation and debug
- Expertise in bus or interconnect protocols (e.g., PCI Express, USB, SATA)
- Experience verifying complex SerDes systems, mixed-signal designs, and analog circuit modeling
- Perl, Python, C/C++ programming experience
- Strong debugging and analytical skills
- Good interpersonal and teamwork 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.”
