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Network Solution Verification Engineer
NVIDIANetwork Solution Verification Engineer validating NVIDIA's customer-facing networking solutions in a state-of-the-art simulation environment. Collaborating with various teams to ensure high-quality outcomes.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing validation frameworks for networking solutions, with strong proficiency in Python for test automation and experience in network simulation tools. Capable of integrating validation pipelines into CI/CD workflows and performing regression analysis using agentic AI frameworks.
Highest-signal resume keywords
Python ProficiencyNetwork Simulation ToolsAgentic AI FrameworksRegression Analysis MethodologiesCI/CD Integration
ATS Keywords
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Hard Skills
Test AutomationTooling DevelopmentPipeline ImplementationRegression AnalysisSimulation Agent DesignTraffic Generator Development
Tools & Technologies
ContainerlabGNS3SONiC TestbedsLangChainLangGraphAutoGen
Industry Keywords
Networking SolutionsValidation FrameworksEnd-to-End TestingDeep Regression AnalysisCI/CD Workflows
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Designing and implementing end-to-end validation frameworks for NVIDIA's customer-facing networking solutions at scale
- Writing, maintaining, and extending automated test suites and regression pipelines
- Performing deep regression analysis on simulation results
- Developing agentic AI flows that autonomously perform regression analysis and detect coverage gaps
- Integrating validation pipelines into CI/CD workflows
- Collaborating closely with Design, Architecture, and NCS teams
Requirements
What you’ll need- B.Sc. degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field
- 3+ years of hands-on experience as a software developer
- Strong proficiency in Python for test automation, tooling development, and pipeline implementation
- Hands-on experience with network simulation or emulation tools (e.g., Containerlab, GNS3, SONiC testbeds, or equivalent platforms)
- Proven experience designing and building simulation agents or traffic generators that mimic real-world networking behavior at scale
- Solid experience with agentic AI frameworks and LLM-based automation (e.g., LangChain, LangGraph, AutoGen, or similar)
- Strong command of regression analysis methodologies
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development