our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As an worker, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join our team as a Senior Power and Performance Architect – Networking, influencing the future of network systems at our company.
What you'll be doing:
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. You will determine strategies that successfully implement flawless performance and power efficiency in our ambitious projects!
What you'll be doing:
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. You will determine strategies that successfully implement flawless performance and power efficiency in our ambitious projects!
Requirements:
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.
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.
This position is open to all candidates.
