Software Verification Engineer - Networking

NVIDIA is growing its SDK Verification team and looking for engineers early in their careers who want to go deep on verification, automation, and networking technology. You'll work alongside SDK development and architecture teams, with mentorship from senior engineers, while building expertise in networking protocols and NVIDIA networking technologies. This is an exceptionally outstanding opportunity to be part of a world-class team and work on ambitious projects that build the future of technology. Join us and help successfully implement innovative solutions that have a lasting impact on the world!

The role is based in Austin and requires two days in the office per week

What You'll Be Doing:

Develop and maintain automated tests for SDK Interfaces, development tools, and software libraries

Contribute to our OS verification infrastructure and help keep it healthy

Build and improve automation workflows that support fast, reliable SDK releases

Work within our CI/CD pipelines, adding coverage and improving stability

Collaborate with hardware, firmware, DevOps, and software teams to reproduce, isolate, and debug issues

Participate in building and code reviews, and grow into ownership of verification areas over time

We are AI native and use AI in all stages - search, build, agents, and automation.

What We Need to See:

B.S or higher in Computer Science / Software / Electrical Engineering (or similar), or equivalent experience

2+ years of hands-on experience in software development, automation, or verification

Very Strong Python skills — you've written and maintained real automation code, not just scripts

Solid understanding of Linux (command line, debugging, basic system concepts)

Familiarity with Git and at least one CI tool (Jenkins, GitLab CI, or similar)

Curiosity, strong communication, and the ability to work across teams around the world.

Ways to Stand Out from the Crowd:

Understanding of networking fundamentals (L2 / L3) — coursework, personal projects, or on-the-job exposure all count

Experience with the latest Test & Automation Frameworks (pytest, Robot Framework, or in-house equivalents)

Exposure to Docker, Gerrit, or infrastructure-as-code tooling

Crafting reports/dashboards with Grafana or PowerBI

Curiosity about networking and Embedded System Architecture is important. Having a track record of teaching yourself new technical domains or contributing to open-source projects on GitHub is a huge boost.

#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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until October 29, 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.