Senior Power and Performance Architect

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re 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 what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll 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 NVIDIA.

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 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 can offer to you and your family www.nvidiabenefits.com/

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.