Senior AI Networking Architect for Scalable Data Centers

NVIDIA; Massachusetts; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA in Massachusetts is seeking a Principal Software Architect, Networking to lead the design of scalable AI data-center networking solutions. You will collaborate across hardware, software, and applications to shape next-gen scale-up fabrics and ensure reliable, high-performance training of large models.

Ideal candidates bring 6+ years in software architecture and networking, a strong research background in AI, and proven track records of leading complex projects with diverse teams.

Qualifications

• 6+ years of 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.

Responsibilities

• Developing the 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.

Skills

Software architecture

Networking

Education

Bachelor's degree in Engineering

Job description

NVIDIA in Massachusetts is seeking a Principal Software Architect, Networking to lead the design of scalable AI data-center networking solutions. You will collaborate across hardware, software, and applications to shape next-gen scale-up fabrics and ensure reliable, high-performance training of large models.

Ideal candidates bring 6+ years in software architecture and networking, a strong research background in AI, and proven track records of leading complex projects with diverse teams.