Senior High-Performance System Architect

NVIDIA

High-Performance System Architect developing next-generation NVL systems for AI models at NVIDIA. Collaborating with cross-functional teams to shape high-performance computing architecture.

Posted 7/20/2026full-timeTel Aviv • 🇮🇱 IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining system architecture for high-performance computing clusters, with a strong foundation in computer networks and distributed computing. Capable of collaborating across various teams to drive project success while applying critical thinking and problem-solving skills.

Highest-signal resume keywords

System Architecture DefinitionLarge-Scale Network BehaviorSimulation Model DevelopmentOptimization Algorithm DevelopmentCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computer NetworksDistributed ComputingSimulation AnalysisAlgorithm DevelopmentHigh-Performance Computing

Soft Skills

Problem SolvingCritical ThinkingManagerial SkillsAdaptability

Certifications & Qualifications

B.Sc DegreeM.Sc DegreePh.D Degree

Industry Keywords

Product Life CycleCross-Functional TeamsFirmwareSoftware DevelopmentHardware

About the role

Key responsibilities & impact

Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments)
Research various of solutions to enable the next large-scale-high-performance computing clusters
The position spans over various layers from algorithms, software, firmware, and HW
Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project

Requirements

What you’ll need

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 networks behavior and the effect of distributed computing workloads effect on the network
Experience in developing models for simulations, analyzing simulation results and development of optimization algorithms
Possess strong managerial, problem solving and critical thinking skills
Ability to work and operate in a highly dynamic environment
Partner with multiple groups in the organization

Benefits

Comp & perks

Health insurance
Professional development opportunities