Senior IP Verification Engineer

Reposted 2 Days Ago
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Santa Clara, CA, USA
In-Office
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior IP Verification Engineer will work on NVIDIA multi-media IP designs, collaborating with engineers, verifying designs, building testbenches, and innovating verification techniques.
Summary Generated by Built In

We are now looking for a Senior Verification Engineer!

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. This specific role will be part of a front-end multi-media IP team responsible for a varied set of multi-media focused IP's.

What you will be doing:

Depending on individual project requirements, you will be working on some or some of the below typical activities:

  • Participate and help drive the development of NVIDIA multi-media IP designs with emphasis on first pass success.

  • Collaborate and partner with ASIC design engineers, IP architects and other verification engineers to formalize product features

  • Verify IP's using System Verilog and UVM

  • Build testbenches and enhance flows for automation of unit level trace based testing against reference C models

  • Architect and build verification architecture and associated documents

  • Develop simulation models

  • Regression management across HLS, Verilog, and FPGA simulations

  • Performance testing and analysis

  • Functional and code coverage tracking and closure

  • Help the team advance verification techniques and methodology

  • IP integration testing into full chip environment

What we need to see:

  • BS/MS Electrical or Computer Engineering (or equivalent experience)

  • 5+ years of proven design verification experience

  • Expertise in verifying sophisticated IP's with System Verilog

  • Experience with verifying High-Level-Design (HLS) designs a plus

  • Programming and scripting experience with C and Python

  • Familiar with using AI enabled IDE's for code development

  • You have excellent written, verbal and technical communication skills

  • Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're creative and autonomous, we want to hear from you!

#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 June 28, 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

  • BS/MS Electrical or Computer Engineering or equivalent experience
  • 5+ years of proven design verification experience
  • Expertise in verifying sophisticated IP's with System Verilog
  • Experience with verifying High-Level-Design designs
  • Programming and scripting experience with C and Python
  • Familiar with using AI enabled IDE's for code development
  • Excellent written, verbal and technical communication skills

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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