Senior ASIC Verification Engineer

Reposted 7 Days Ago
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Durham, NC
In-Office
136K-265K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior ASIC Verification Engineer will verify designs of SoCs and GPUs, define verification scope, and develop infrastructure, collaborating with teams across sites.
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

  • 5+ 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 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 23, 2025.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.

Top Skills

C++
Debussy
Gdb
Systemverilog
Uvm
Vcs
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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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