Senior QA Automation Engineer — Network AI Platform

Requirements

• Practical/BA 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).
• Ability to handle multiple tasks, prioritize effectively, and completing duties with minimal supervision.
• Dedicated, able to take ownership of tasks in a fast-paced AI development environment.
• Confident and effective verbal and written communication skills in English for collaboration with global teams.

Nice to Haves

• 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).

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.

Perks and Benefits

• NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.
• We highly value diversity in our current and future employees and do not discriminate based on various characteristics protected by law.