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Senior Power and Performance Architect

NVIDIA· Architect
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Tel Aviv, Israelfull-timePosted 4mo ago

About the role

Senior Power and Performance Architect focused on developing and validating power and performance optimization techniques for network fabrics, NICs, switches, and systems, collaborating across silicon, system, software, and performance teams to ensure end-to-end power efficiency and performance.

Responsibilities

  • Develop, model, and validate groundbreaking power and performance optimization techniques for network fabrics, components (NICs, Switches), and systems.
  • Collaborate closely with cross-functional teams including silicon design, system architects, software/firmware engineers, performance analysts, thermal engineers, and AI researchers to ensure end-to-end power and performance optimization.
  • Determine strategies that implement flawless performance and power efficiency in ambitious projects.

Qualifications

  • BSc or MSc or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science or a related field
  • 5+ years of relevant experience in network architecture, design, or performance analysis
  • Solid understanding of power consumption dynamics in network hardware (NICs, switches, cables) and systems
  • Proven experience in network architecture and design, particularly for large-scale systems (Data Center, HPC, AI Clusters)
  • Strong understanding of network protocols (Ethernet, InfiniBand, RoCE, TCP/IP) and their impact on performance and efficiency
  • Demonstrable expertise in network performance analysis, bottleneck identification, and tuning
  • Familiarity with the characteristics and network demands of AI/ML workloads
  • Utmost passion for attention to details in design and a high focus on design quality, particularly concerning power/performance trade-offs

Skills

Required:Power and performance optimizationNetwork architecture and designNetwork protocols

Benefits

  • Proven dedication to system-level power/performance trade-off analysis, especially in distributed computing or large-scale network environments
  • Experience in power modeling, measurement techniques, or relevant tools for network components and systems
  • Proficiency with network simulation tools (e.g., ns-3, OMNeT++, proprietary tools) or performance modeling frameworks
  • Understanding of silicon-level power characteristics and optimization techniques
Last updated Jun 26, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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