Senior ASIC Verification Engineer

Posted 9 Hours Ago
Be an Early Applicant
Durham, NC, USA
In-Office
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Verify SoC and GPU designs using advanced verification methodologies; define verification scope and infrastructure for memory subsystems; create reusable verification components; apply random stimulus, functional coverage, and assertion-based verification; collaborate with architects, designers, and software engineers.
Summary Generated by Built In

NVIDIA is seeking an outstanding Senior ASIC Verification Engineer to verify the design and implementation of the world’s leading SoC's and GPU's. This position offers the opportunity to have a 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.

What you’ll be doing:

  • As a Senior Verification Engineer at NVIDIA, you will be responsible for verifying the design, architecture and micro-architecture using advanced verification methodologies

  • Define the verification scope, and contribute to the development of the verification infrastructure for memory subsystem units

  • Collaborate with architects, designers, software engineers across sites to accomplish your goals

What we need to see:

  • You have a Bachelors or Masters Degree in Electrical Engineering or Computer Science or Computer Engineering or equivalent experience

  • 8+ years of relevant work or research experience

  • Strong history of working on verification methodology, creating reusable verification components

  • Knowledgeable in verification using random stimulus along with functional coverage and assertion-based verification methodologies

  • Fluency in Object Oriented Programming with C++ and/or SystemVerilog

  • Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB), and methodologies (UVM or equivalent)

  • Your work displays a passion for debugging and strong problem solving skills

  • Strong communication skills are required

Ways to stand out from the crowd:

  • Prior verification experience related to high speed IO protocols, or memory coherence is a big plus

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#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 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.

Applications for this job will be accepted at least until June 16, 2026.

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 in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience
  • 8+ years of relevant work or research experience
  • Strong history working on verification methodology and creating reusable verification components
  • Knowledgeable in verification using random stimulus, functional coverage, and assertion-based verification methodologies
  • Fluency in Object Oriented Programming with C++ and/or SystemVerilog
  • Exposure to design and verification tools (VCS or equivalent), debug tools like Debussy and GDB, and methodologies (UVM or equivalent)
  • Passion for debugging and strong problem solving skills
  • Strong communication skills
  • Prior verification experience related to high speed IO protocols or memory coherence

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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