NVIDIA

NVIDIA

Posted via Workday

Senior ASIC Verification Engineer

Posted Aug 5, 2026

Role at a glance

Salary
$136K – $264.5K/yr
Location
Durham, North Carolina, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
5+ years of relevant work or research experience
Education
Bachelors or Masters Degree in Electrical Engineering or Computer Science or Computer Engineering or equivalent experience

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Role Summary

AI-generated

The Senior ASIC Verification Engineer will verify the design, architecture, and micro-architecture of NVIDIA SoCs and GPUs, including memory subsystem units. The role supports NVIDIA GPU ASIC products across consumer graphics, self-driving cars, and artificial intelligence applications and involves collaboration with architects, designers, and software engineers across sites.

What You'll Do

  • Verify design, architecture, and micro-architecture using advanced verification methodologies
  • Define the verification scope and contribute to verification infrastructure for memory subsystem units
  • Collaborate with architects, designers, and software engineers across sites

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent experience; 5+ years of relevant work or research experience; verification methodology, reusable verification components, random stimulus, functional coverage, assertion-based verification, C++ and/or SystemVerilog, VCS or equivalent simulation tools, debug tools, and UVM or equivalent methodologies; strong debugging, problem-solving, and communication skills.

Required

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent experience
  • 5+ years of relevant work or research experience
  • Verification methodology and reusable verification components
  • Random stimulus, functional coverage, and assertion-based verification methodologies
  • Object-oriented programming with C++ and/or SystemVerilog
  • VCS or equivalent simulation tools
  • Debug tools such as Debussy and GDB
  • UVM or equivalent methodologies

Preferred

  • Verification experience related to high speed IO protocols
  • Verification experience related to memory coherence

Original job description

Content provided by the employer

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 - 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.

Applications for this job will be accepted at least until August 7, 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.