Senior QA Automation Engineer — Network AI Platform

We are seeking an experienced Senior QA Automation Engineer to join our Network AI platform team. This role combines manual testing expertise with Python-based automation skills to ensure the quality and reliability of our innovative AI/ML-powered complex NVIDIA’s network solutions, including AI algorithms, and multi-cloud integrations that power enterprise-scale network monitoring and automation systems.

What you'll be doing:

• Simulate and test full-scale network architectures with AI/ML correlation engines using multiple network operating systems via WebUI, REST APIs, CLI, and shell interfaces.

• Ensure network topology discovery and anomaly detection configurations match real-world multi-vendor physical setups.

• Test real-time syslog processing, NLP-based pattern recognition, and predictive analytics across complex network topologies.

• Review architectural designs and requirements for new features, including machine learning algorithms and correlation engines.

• Design and implement end-to-end tests for new features, including GA and maintenance releases.

• Validate integration with multi-cloud environments and IT Service Management (ITSM) tools.

• 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:

• Bachelors degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field.

• 8+ years of hands-on experience in QA and/or Networking.

• 2+ years of experience testing network monitoring, AIOps, or enterprise networking solutions.

• 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 using Selenium/Playwright.

• Experience with API testing tools and methodologies (REST, JSON, HTTP)

• Solid knowledge and experience with the PyTest framework.

• Ability to handle multiple tasks, prioritize effectively, and complete duties with minimal supervision.

• Confident and effective verbal and written communication skills in English for collaboration with global teams.

Ways to stand out from the crowd:

• Strong CCNA and/or ISTQB, or similar certifications demonstrating networking and testing expertise

• Sophisticated experience with Python automation and source control tools (Git/SVN) for enterprise-scale projects.

• Experience with CI/CD tools (Jenkins, GitLab)

• In-depth Linux and Linux kernel knowledge (LPIC-2 level).

• Experience with virtualization and containerization environments (Linux KVM, VMware, ESXi, Docker, Kubernetes).

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 unprecedented growth, our exclusive 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.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.