Back

Verification and Validation Engineer - New College Grad 2026

NVIDIANVIDIA·Semiconductors

Apply effort

<60 sec

via Aplyr Quick Apply

Posted

24 days

01

About the role

We are now looking for a Verification and Validation Engineer to join our innovative team at NVIDIA! This outstanding opportunity lets you make a real impact in a forward-thinking, technology-driven company. You will work on products spanning consumer graphics, self-driving cars, and artificial intelligence. At NVIDIA, we encourage a collaborative and inclusive environment. We push the limits of what is possible and shape the platform for the future of computing. Join our distinguished team and help us revolutionize technology!

What you'll be doing:

As a Verification and Validation Engineer, you will be essential in testing the ASIC build, architecture, and micro-architecture of NVIDIA CPUs, GPUs, and SoCs. You will apply advanced verification methods. You will:

  • Understand the build and its implementation, define the verification and validation scope, develop test plans, and coordinate tasks within the CPU and GPU verification teams.

  • Build and develop test generators to verify and validate CPU and GPU interactions, memory coherency, and consistency.

  • Develop the verification infrastructure using brand new verification methodologies and tools.

  • Work closely with architects, designers, pre- and post-silicon verification and validation teams to guarantee seamless completion of tasks.

What we need to see:

  • A Bachelors or Masters Degree in Electrical Engineering, Computer Engineering, or Computer Science (or equivalent experience)

  • Proficiency in programming with C/C++ and scripting languages such as Perl, Python, or shell.

  • A strong background in computer architecture and memory models.

  • Exposure to building and verification tools (VCS, emulation, FPGA, debug tools) is highly desirable.

  • Outstanding communication and interpersonal skills with the ability to thrive in a dynamic, distributed team environment.

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 May 26, 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.

02

Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • The company invests heavily in AI and deep learning, driving technological advancements.
  • NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • High competition in the semiconductor industry can impact market share.
  • Rapid technological changes require constant adaptation and learning.
  • Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • The company's AI research is at the forefront of deep learning innovation.
  • NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

03

About NVIDIA

NVDA$212.45+3.54%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

04

Similar roles