Senior QA Automation Engineer — Network AI Platform

About This Role

Join the Network AI platform team as a Senior QA Automation Engineer to ensure the quality and reliability of NVIDIA's AI/ML-powered network solutions through a combination of manual testing and Python-based automation.

Responsibilities

• 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

Requirements

• 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

Qualifications

• 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, including 2+ years testing network monitoring, AIOps, or enterprise networking solutions

Nice to Have

• 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)

Skills

* Required skills

Benefits