עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
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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
- 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 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.
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במקום לחפש לבד בין מאות מודעות – תנו ל-Jobify לנתח את קורות החיים שלכם ולהציג לכם רק הזדמנויות שבאמת שוות את הזמן שלכם מתוך מאגר המשרות הגדול בישראל.
השימוש חינם, ללא עלות וללא הגבלה.