Software Architect, Network System Validation

NVIDIA
Israel
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 12+ yearsEducation: bachelorsSkills: ["Technical leadership","Mentoring","Cross-team alignment","Tradeoff communication","High-quality architectural decision-making"]

Own the software architecture for network system validation in NVIDIA’s Networking Business Unit. Build systems and methodologies for large-scale network correctness and performance testing across complex AI cluster environments, including test automation, fault injection/chaos testing, telemetry-driven root-cause analysis, and production-grade validation frameworks. Drive engineering practices, write clear architectural documentation and reports, and lead technical alignment and delivery with a team of high-performance engineers.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Software Architect, Network System Validation

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Own the software architecture for network system validation in NVIDIA’s Networking Business Unit. Build systems and methodologies for large-scale network correctness and performance testing across complex AI cluster environments, including test automation, fault injection/chaos testing, telemetry-driven root-cause analysis, and production-grade validation frameworks. Drive engineering practices, write clear architectural documentation and reports, and lead technical alignment and delivery with a team of high-performance engineers.
Location: Israel
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement network validation methodologies for system-level testing.
  • •Build systems to orchestrate concurrent IO, inject chaos at the infrastructure layer, and uncover hard-to-find system faults.
  • •Capture, store, and process telemetry at scale to enable root-cause analysis and system-level insights.
  • •Advance AI-driven test automation, including intelligent scenario generation and LLM-augmented root-cause analysis with autonomous validation pipelines.
  • •Establish engineering practices (design docs, production-grade code reviews, and testing philosophy) and produce clear, data-driven reports.

Key Requirements

  • •B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience.
  • •12+ years of experience developing large-scale software projects.
  • •Strong distributed system experience and system-level debugging skills.
  • •Strong software skills in C/C++/Rust, Python (must), and Bash.
  • •Experience building automation frameworks and validation tools for large-scale infrastructure, reliability, or internal developer platforms.
Experience:12+ years
Education:Bachelor's in Computer Science, Electrical Engineering
Skills:Technical leadershipMentoringCross-team alignmentTradeoff communicationHigh-quality architectural decision-making
Tech Stack:CC++RustPythonBashLLMKubernetesRDMARoCENCCLL2L3L4NVIDIA ConnectXSpecXBlueField

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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