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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and 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) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
