NVIDIA

3 days ago

Network Solution Verification Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour 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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 days ago

Network Solution Verification Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

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

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor