What we need to see: 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 Ways to stand out from the crowd: Advanced degree or equivalent experience in a related field 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 NVIDIA is widely recognized as one of the tech world’s most sought-after employers. We have some of the most dedicated and hard-working individuals in the industry contributing to our team. If you possess a strong work ethic, are self-motivated, and are enthusiastic about crafting efficient and robust networks for AI, we encourage you to apply! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we ca
