We are looking for a Senior QA Automation Engineer to join our Network AI platform team. This position requires a blend of manual testing and Python-based automation skills to ensure the quality of NVIDIA's AI/ML-powered network solutions. The role focuses on testing complex network architectures and validating integrations with multi-cloud environments. The ideal candidate will have extensive experience in QA and networking, along with strong automation skills.

• Bachelor's 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.

• Simulate and test full-scale network architectures with AI/ML correlation engines using multiple network operating systems.
• 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 including regression, performance, functional, and security tests.
• Design, implement, and maintain automated tests and framework APIs in Python.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.