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Network Solution Verification Engineer

NVIDIA· Engineer, Sys SW
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Hybrid (Tel Aviv, Israel), Hybrid (Yokneam, Israel)on-sitePosted 3mo ago

About the role

Role focused on validating NVIDIA's customer-facing networking solutions at scale using an End-to-End simulation cluster, blending networking, automation, and AI-driven validation.

Responsibilities

  • Designing and implementing end-to-end validation frameworks for NVIDIA's customer-facing networking solutions at scale, leveraging a dedicated E2E simulation cluster environment.
  • Writing, maintaining, and extending automated test suites and regression pipelines for networking protocols and large-scale simulation runs, ensuring repeatable, high-confidence validation outcomes.
  • Performing deep regression analysis on simulation results — identifying failure trends, isolating root causes, and delivering clear, actionable findings to architecture and design teams.
  • Developing agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code — continuously learning from simulation results and product changes to accelerate coverage without manual intervention.
  • Integrating validation pipelines into CI/CD workflows to enable continuous, automated regression at scale, working closely with DevOps and platform teams.
  • Collaborating closely with Design, Architecture, and NCS teams to understand solution requirements, translate them into simulation scenarios, and provide early-cycle quality feedback that influences product direction.
  • Analyzing customer-reported networking issues, mapping them to simulation coverage gaps, and building targeted test cases that prevent regression.
  • Continuously exploring new simulation technologies, agentic frameworks, and networking standards to evolve and improve the team's validation methodology.

Qualifications

  • 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) and practical ability to apply them to validation and test generation workflows.
  • Strong command of regression analysis methodologies — able to triage, classify, and extract actionable conclusions from large-scale test result datasets.
  • Comfortable operating in a fast-paced, cross-functional, multi-timezone engineering environment with strong verbal and written communication skills.

Skills

Required:PythonNetwork simulation/emulationSimulation agents / traffic generatorsAgentic AI frameworks / LLM automationRegression analysisCommunication
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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