GPU Verification Engineer - New College Grad 2026

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
100K-190K Annually
Entry level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Verify GPU and SoC designs by defining verification scope, developing test plans and test generators, and building verification infrastructure. Collaborate with architects, designers, and pre/post-silicon teams to validate GPU interactions, memory coherency, and micro-architecture using SV/UVM and industry tools.
Summary Generated by Built In
We are now looking for a GPU Verification Engineer - New College Grad!

We are currently seeking a Verification Engineer with strong GPU and verification fundamentals. This position offers the opportunity to have real impact in a progressive, 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 outstanding 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 member of the GPU verification team, you will be responsible for verifying the ASIC design, architecture and micro-architecture of NVIDIA GPUs and SoCs using sophisticated verification methodologies.

  • You are encouraged to understand the design and its implementation, define the verification scope, develop the testplans and coordinate tasks within the GPU verification teams.

  • Design and develop test generators that will verify and validate the GPU interactions, memory coherency and consistency.

  • Develop the verification infrastructure using state of the art verification methodologies and tools.

  • Collaborate with architects, designers, pre- and post-silicon verification teams to accomplish your tasks.

What We Need to See:

  • A Master's Degree (or equivalent experience) in Electrical Engineering, Computer Engineering or Computer Science or a Bachelor's degree (or equivalent experience) in the same fields.

  • Ability to program in C/C++ and automate/write scripts in Perl/Python/shell.

  • Experience with SV/UVM.

  • Your work displays a passion for debugging and highlights your strong problem solving abilities.

  • A strong background in computer architecture and memory models is needed.

  • Exposure to design and verification tools (VCS, emulation, FPGA, debug tools) is a plus.

  • Strong communication and interpersonal skills are required along with the ability to operate in a dynamic and distributed team.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 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

  • Strong GPU and verification fundamentals
  • Master's or Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science (or equivalent experience)
  • Ability to program in C/C++
  • Ability to automate/write scripts in Perl, Python, or shell
  • Experience with SystemVerilog (SV) and UVM
  • Strong background in computer architecture and memory models
  • Passion for debugging and strong problem-solving abilities
  • Strong communication and interpersonal skills; ability to work in dynamic, distributed teams
  • Exposure to design and verification tools (VCS, emulation, FPGA, debug tools)

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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