Senior QA Automation Engineer, Network Simulation Platform

We are looking for a Senior QA Automation Engineer who is passionate about networking and eager to dive into hands-on testing. Our team ensures the quality of NVIDIA’s network solutions through feature analysis, manual, and Python-based automated testing. NVIDIA is 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. If you’re proactive, open to learning new things, and ready to grow, we want you on our team!
What you'll be doing:
Simulate and test full-scale network architectures using multiple network operating systems via WebUI, back-end, CLI, and shell.
Validate that simulation configurations and features align with real-world physical setups.
Review architectural designs and requirements for new product features.
Design and implement end-to-end tests for new features, including SW GA and maintenance releases.
Report and document bugs, assist in reproducing and debugging issues, verify R&D bug fixes, and raise unresolved issues.
Perform various system tests (regression, performance, functional, security, etc.).
Design, implement, and maintain automated tests and framework APIs in Python.
What we need to see:
Practical / BA or equivalent experience in Computer Science, Computer Engineering, or Electrical Engineering.
5+ years of hands-on experience in QA and/or Networking.
Solid networking knowledge and hands-on experience with switching and routing.
Strong automation/scripting skills in Python and Linux Bash.
Proficiency in Python OOP and experience writing automation for WebUI, SDK, and API using pytest and Playwright .
Ability to handle multiple tasks, prioritize effectively, and execute responsibilities independently.
Dedicated, able to work independently, and take ownership of tasks.
Confident and effective verbal and written communication skills in English.
Ways to stand out from the crowd:
Strong CCNA and/or ISTQB, or similar certifications.
Sophisticated experience with Python automation and source control tools (Git/SVN).
In-depth Linux and Linux kernel knowledge (LPIC-2 level).
Experience with virtualization environments (Linux KVM, VMware, ESXi).
NVIDIA is committed to fostering a diverse work environment and is 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) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.