NVIDIA
SeniorQAAutomationEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior QA Automation Engineer at NVIDIA. Skills: QA Automation, Network AI, Python Automation. Simulate and test network architectures. Test network topology discovery”
Industry & Context.
Debugging
What They're Looking For.
Must Have
Bachelors degree or equivalent experience, 8+ years of hands-on experience, 2+ years testing network monitoring, Solid networking knowledge, Python and Linux Bash scripting, Proficiency in Python OOP, Experience writing automation for WebUI, Experience with API testing tools, Solid knowledge of PyTest framework, Ability to handle multiple tasks, Prioritize effectively, Complete duties with minimal supervision, Confident verbal communication skills, Effective written communication skills
Nice to Have
CCNA or ISTQB certifications, Sophisticated Python automation experience, Source control tools experience, CI/CD tools experience, In-depth Linux knowledge, Linux kernel knowledge, Experience with virtualization environments, Experience with containerization environments
What You'll Do.
Simulate and test network architectures
Test network topology discovery
Test anomaly detection configurations
Test real-time syslog processing
Test NLP-based pattern recognition
Test predictive analytics
Review architectural designs
Review requirements for new features
Design end-to-end tests
Implement end-to-end tests
Validate integration with multi-cloud
Validate integration with ITSM tools
Assist in reproducing issues
Assist in debugging issues
Raise unresolved issues
Design automated tests
Implement automated tests
Maintain automated tests
Design framework APIs
Implement framework APIs
Maintain framework APIs
How You'll Work.
Team & Collaboration
Global teams
Communication Scope
Verbal communication; Written communication
Process & Methodology
Agile
Full Job Description
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 Sele
Applying for this Senior QA Automation Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.