Verification Software Engineer - Networking

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
120K-236K
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
This role involves designing and developing APIs, automation tests, and collaborating with teams on switch OS verification for large networks.
Summary Generated by Built In

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

NVIDIA's Networking OS Software Verification Group is rapidly growing, and we are hiring a Software Verification Engineer for the NVLink & InfiniBand Switch Software Development team. As a member of the team, you will take part in NVIDIA’s core projects which drive the growth of the company tech and business wise, you will gain unique knowledge of how switch operating system works and how large scale networks are constructed, and how verification works at scale. Are you ready for this challenge?

What you’ll be doing:
  • Design, develop, optimize and maintain APIs, tools and libraries for OS Verification infrastructure software.

  • Design, develop and maintain tests automation for release features.

  • Collaborate with team members, Architects, design, QA teams, and customers (both external and internal).

What we need to see:
  • Bachelor's or MS degree in Computer Science or a similar technical field, or equivalent experience.

  • 3+ years of experience as Software Engineer.

  • Strong and proven experience with object oriented programming languages.

  • Strong technical abilities, problem solving, design, coding and debugging skills.

  • Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision.

  • Great teammate with multi-tasking ability and good interpersonal skills.

Ways to stand out from the crowd:
  • Experience in Python programming.

  • Knowledge in Networking protocols.

  • Understanding hardware & low-level software

  • Experience with automation frameworks

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 outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 23, 2025.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.

Top Skills

APIs
Automation Frameworks
Networking Protocols
Python
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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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