Senior High-Performance System Architect

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: phdSkills: ["Managerial","Problem solving","Critical thinking","Collaboration","Ability to work in a dynamic environment"]

Architect end-to-end NVL system architecture for large-scale high-performance and ML/AI compute clusters. Research solutions spanning algorithms, software, firmware, and hardware to improve next-generation networking. Collaborate across architecture, logic design, system software, firmware, and research teams to deliver successful execution through the product lifecycle. Use simulation modeling and optimization to analyze network behavior and distributed computing workload effects, leveraging expertise in HPC environments and network protocols.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior High-Performance System Architect

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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
Reposted: similar role first listed 7 months ago

Job Summary

Architect end-to-end NVL system architecture for large-scale high-performance and ML/AI compute clusters. Research solutions spanning algorithms, software, firmware, and hardware to improve next-generation networking. Collaborate across architecture, logic design, system software, firmware, and research teams to deliver successful execution through the product lifecycle. Use simulation modeling and optimization to analyze network behavior and distributed computing workload effects, leveraging expertise in HPC environments and network protocols.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Define NVL system architecture end-to-end across product life cycles (post/pre silicon and deployments).
  • •Research solutions to enable next large-scale high-performance computing clusters across algorithms, software, firmware, and hardware layers.
  • •Develop simulation models, analyze simulation results, and use optimization algorithms to improve performance.
  • •Collaborate with cross-functional teams across architecture, logic design, system software, firmware, and research to execute the project.
  • •Partner with multiple groups in the organization to drive successful project outcomes.

Key Requirements

  • •B.Sc, M.Sc, or Ph.D degree in Computer Science, Computer Engineer, or Electrical Engineer.
  • •At least 5 years of industry or research experience in computer networks.
  • •Excellent understanding of large-scale network behavior and the effect of distributed computing workloads on the network.
  • •Experience developing models for simulations, analyzing simulation results, and developing optimization algorithms.
  • •Strong managerial, problem solving, and critical thinking skills, with the ability to work in a dynamic environment and partner across groups.
Experience:5+ yearsHigh-performance computingML/AIComputer networksHPC
Education:PhD / Doctorate in Computer Science, Computer Engineer, or Electrical Engineer
Skills:ManagerialProblem solvingCritical thinkingCollaborationAbility to work in a dynamic environment
Tech Stack:NVLMLAIPythonC++InfiniBandIPTCPRoCENetwork topologiesHPCRouting algorithmsOmnet++NS3

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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