NVIDIA

NVIDIA

Posted via Workday

Senior Design Verification Engineer - GPU Memory Subsystem

Posted Aug 5, 2026

Role at a glance

Salary
$136K – $264.5K/yr
Location
Durham, North Carolina, United States
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of experience covering the full scope of pre-silicon ASIC verification
Education
BS Degree in CompE, EE, CS, or equivalent experience

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Role Summary

AI-generated

The Senior Design Verification Engineer will join NVIDIA's GPU memory subsystem team in Durham, NC, working on pre-silicon verification for GPU ASIC memory subsystem IP. The role supports verification of IP involving caches, coherency, pipelines, and arbitration through collaboration across RTL, DV, FV, and Architecture teams.

What You'll Do

  • Develop and implement design verification strategies for GPU ASIC memory subsystem IP
  • Collaborate with RTL, DV, FV, and Arch teams
  • Perform functional and performance verification using advanced tools and methodologies
  • Develop understanding of the IP's micro-architectural design and implementation

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

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Qualifications

BS Degree in CompE, EE, CS, or equivalent experience; 5+ years of experience covering the full scope of pre-silicon ASIC verification, including verification strategy, test plans, tests, testbench components, regression triage, debug, coverage closure, and industry standard tools; working knowledge of computer architecture fundamentals and their constructs in Verilog/System Verilog.

Required

  • BS Degree in CompE, EE, CS, or equivalent experience
  • 5+ years of experience covering the full scope of pre-silicon ASIC verification
  • Development of verification strategy, test plans, tests, testbench components, regression triage, debug, and coverage closure
  • Experience with industry standard tools
  • Working knowledge of computer architecture fundamentals and their constructs in Verilog/System Verilog

Preferred

  • Strong analytical thought process and outstanding debug skills
  • Experience with caches, coherency, complex pipelines, arbiters, or interconnect networks
  • Infrastructure development, use of AI to support design and verification development
  • Testbench development experience, especially with UVM components used in multiple levels of verification
  • Strong programming/scripting experience in Python or C++
  • Applying suitable algorithms, data structures, and error handling

Original job description

Content provided by the employer

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

 

We're looking for a talented, motivated Senior Design Verification Engineer to join our GPU memory subsystem team in Durham, NC. Looking to join a dynamic team solving complex verification challenges involving caches, coherency, pipelines, and arbitration? This pre-silicon position is perfect for you!

 

What you'll be doing:

  • Actively collaborate with RTL, DV, FV, and Arch teams to then develop and implement design verification strategies for our GPU ASIC memory subsystem IP.

  • Perform functional and performance verification using advanced tools and methodologies. Bring your innovative ideas to the table.

  • Gain a deep understanding of this critical IP's micro-architectural design and implementation while continuing to advance your verification skills.

 

What we need to see:

  • BS Degree in CompE, EE, CS, or equivalent experience

  • 5+ years of experience covering the full scope of pre-silicon ASIC verification, including the development of verification strategy, test plans, tests, testbench components, regression triage, debug, and coverage closure and experience with industry standard tools

  • Working knowledge of computer architecture fundamentals and their constructs in Verilog/System Verilog

 

Ways to stand out from the crowd:

  • Strong analytical thought process and outstanding debug skills.

  • Experience with caches, coherency, complex pipelines, arbiters, or interconnect networks

  • Infrastructure development, use of AI to support design and verification development

  • Testbench development experience, especially with UVM components used in multiple levels of verification

  • Strong programming/scripting experience in Python or C++. Applying suitable algorithms, data structures, and error handling

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 April 24, 2026.

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.

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.