At NVIDIA, we push the boundaries of computing innovation. Our ASIC Verification Engineers focus on developing the world’s top SoCs and GPUs. Joining us as a Senior ASIC Verification Engineer - GPU means working on modern technology powering consumer graphics and AI applications. This position is ideal for those passionate about technology and eager to impact computing’s future.
What you'll be doing:
- As a key member of our ASIC Verification team, you will verify the design and implementation of the industry's leading GPUs.
- You will be responsible for verifying the ASIC build, architecture, golden models, and micro-architecture using advanced verification methodologies such as UVM or equivalent.
- Understand the design and implementation of your unit/cluster/chip, define the verification scope, develop the verification infrastructure, and verify the correctness of the design.
- Collaborate with architects, designers, and pre- and post-silicon verification teams to accomplish your task.
What we need to see:
- Bachelor's Degree in EE, CS, or CE or equivalent experience.
- 5+ years of relevant experience.
- Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies.
- Experience with design and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, Indago, GDB).
- Expertise in System Verilog or similar HVL.
- Strong debugging and analytical skills.
- Perl and C/C++ programming language experience desirable.
- Strong communication skills and the ability & desire to work as a great teammate are huge pluses.
- Experience in crafting test bench environments for unit and system level verification.
#LI-Hybrid
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 degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience
- 5+ years of relevant experience
- Experience with random stimulus, functional coverage, and assertion-based verification methodologies
- Experience with VCS or equivalent simulation tools and debugging tools such as Verdi, Indago, or GDB
- Expertise in SystemVerilog or a similar hardware verification language
- Strong debugging and analytical skills
- Strong communication and teamwork skills
- Perl programming experience
- C or C++ programming experience
- Experience developing unit- and system-level testbench environments
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.”
