Network Solution Verification Engineer

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: QA, Test & Release EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Verbal and written communication","Cross-functional collaboration","Analytical thinking","Problem-solving"]

Design and implement end-to-end validation frameworks to verify customer-facing networking solutions at scale using an E2E simulation cluster. Build and maintain automated test suites and regression pipelines for networking protocols, perform deep regression analysis, and deliver actionable root-cause findings. Develop agentic AI/LLM workflows to generate test cases and increase coverage, and integrate validation into CI/CD while collaborating with architecture, design, and NCS teams.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Network Solution Verification Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Design and implement end-to-end validation frameworks to verify customer-facing networking solutions at scale using an E2E simulation cluster. Build and maintain automated test suites and regression pipelines for networking protocols, perform deep regression analysis, and deliver actionable root-cause findings. Develop agentic AI/LLM workflows to generate test cases and increase coverage, and integrate validation into CI/CD while collaborating with architecture, design, and NCS teams.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement end-to-end validation frameworks for customer-facing networking solutions at scale using a dedicated E2E simulation cluster environment.
  • •Write, maintain, and extend automated test suites and regression pipelines for networking protocols and large-scale simulation runs.
  • •Perform deep regression analysis on simulation results to identify failure trends, isolate root causes, and share actionable findings.
  • •Develop agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code.
  • •Integrate validation pipelines into CI/CD workflows and collaborate with Design, Architecture, and NCS teams to translate requirements into simulation scenarios.

Key Requirements

  • •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).
  • •Experience using agentic AI frameworks and LLM-based automation (e.g., LangChain, LangGraph, AutoGen) to support validation and test generation workflows.
Experience:3+ yearsNetworkingSimulationAI-driven validationTest automation
Education:Bachelor's
Skills:CommunicationVerbal and written communicationCross-functional collaborationAnalytical thinkingProblem-solving
Tech Stack:PythonCI/CDDevOpsContainerlabGNS3SONiC testbedsLLM-based automationLangChainLangGraphAutoGenAgentic AI frameworksEnd-to-end (E2E) simulation clusterRegression pipelinesTraffic generatorsBGPEVPNVXLANRDMA/RoCEEthernetIP routing

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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