NVIDIA

3 days ago

Senior High-Performance System Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 days ago

Senior High-Performance System Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

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

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: 4.3

Website LinkedIn Glassdoor