Principal Software Architect, Networking AI

NVIDIA•Santa Clara, CA

About The Position

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 NVIDIA’s ambitious team and be part of a legacy of innovation! We are seeking a Principal SW Architect, Networking to build the future of AI data-centers. This role is tailored for those passionate about collective communication, vertical co-development of AI networks, and large model training scalability. Your work will drive innovation and contribute to large-scale production, making a real impact on the world!

Requirements

15+ experience in software architecture and networking
Bachelor’s degree in Engineering or equivalent experience
Strong expertise in AI applied research
Demonstrated ability to lead complex projects and deliver flawless results
Excellent collaboration skills and the ability to work with diverse teams
A track record of innovation and the determination to compete at the highest level

Nice To Haves

Advanced degree or equivalent experience in Engineering or a related area
Experience with large-scale AI data-center operations
Outstanding abilities in resiliency and tail-robust training methods
Proven ability to generate world-class innovations
Solid experience in collaborative development of AI networks within specific sectors

Responsibilities

Leading the development of next-gen Scale-up fabric for AI data-centers
Concentrating on collaborative communication and vertical co-development of AI networks alongside hardware, software, and applications
Guaranteeing scalability, reliability, and robust training for large model development
Collaborating with cross-functional teams to build and implement innovative solutions
Creating innovative concepts that will ultimately proceed to full-scale manufacturing
Partnering with world-class talent to successfully implement new technologies