Senior Network Modeling Engineer

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Independent ownership","Effective communication","Project ownership","Technical initiative leadership","Autonomous execution"]

Conduct advanced network research and optimization for AI and HPC workloads by modeling real-world network topologies, configurations, and traffic patterns. Build and enhance simulation tools, develop core simulator features, and improve robustness and reliability as a software product. Own a performance modeling roadmap for defined features, interface with internal clients, and validate modeling assumptions against real hardware and software performance.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Network Modeling Engineer

âś“ Verified Job

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

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

Job Summary

Conduct advanced network research and optimization for AI and HPC workloads by modeling real-world network topologies, configurations, and traffic patterns. Build and enhance simulation tools, develop core simulator features, and improve robustness and reliability as a software product. Own a performance modeling roadmap for defined features, interface with internal clients, and validate modeling assumptions against real hardware and software performance.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Analyze and model NVIDIA’s AI and HPC offerings to understand network behavior for training and inference, generating insights that inform next-generation AI architecture.
  • •Implement modeling for advanced network topologies, configurations, and traffic patterns representing real AI workloads; analyze impact on system performance.
  • •Actively develop the simulator software solution with modular, scalable code and support HW/SW development life cycles by mapping features into the simulation domain.
  • •Own a performance modeling roadmap for defined features, interface with internal clients, communicate analysis conclusions, and iterate until completion.
  • •Improve the simulation quality as a software product by ensuring robustness and reliability.

Key Requirements

  • •BSc or above in Computer Science, Electrical Engineering, or a related field.
  • •5+ years of hands-on coding experience with strong proficiency in C++ and Python on a large-scale codebase.
  • •End-to-end system perspective bridging hardware behavior, micro-architecture, and software performance (latency/throughput).
  • •Ability to own projects: lead technical initiatives, prioritize features, and manage lifecycles with minimal supervision.
  • •Strong technical understanding of communication networks and their impact on training/inference performance for AI systems.
Experience:5+ yearsAIHPCNetworking
Education:Bachelor's in Computer Science, Electrical Engineering (or related field)
Skills:Independent ownershipEffective communicationProject ownershipTechnical initiative leadershipAutonomous execution
Tech Stack:C++PythonEthernetNVLinkInfinibandOMNeT++SystemC

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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