Senior AI Networking Architect for Accelerated Data Centers

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Hybrid work

Job summary

NVIDIA is seeking a Senior Networking Architect to help design the next generation of AI-enabled data center networks. The role spans ASIC design to software, topology and system architecture, with collaboration across internal teams and industry groups.

You’ll influence through research and practical development to push AI networking forward. The ideal candidate has deep networking knowledge, strong problem-solving skills, and experience with ASICs, real-time software, and open standards.

Qualifications

• B.Sc or M.Sc degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• 5+ years of previous industry or research experience in computer networks.
• Experience in developing ASICs and/or real-time software running on the ASICs.
• Proven understanding in networking and routing protocols, and their implementations.
• Strong problem-solving and critical thinking skills.
• Works and operates in a highly dynamic environment.
• Ability to work concurrently with multiple groups and with strategic partners.

Responsibilities

• Conduct R&D of networking solutions for AI-accelerated data centers.
• Work across ASIC design, algorithms, topologies and systems.
• Collaborate with internal teams, strategic partners, standard bodies and networking communities to develop groundbreaking networking solutions for AI.

Skills

RDMA knowledge

Python

C++

Networking

Problem solving

Cross-functional collaboration

Education

B.Sc or M.Sc in CS/CE/EE

Tools

ASIC design

Job description

NVIDIA is seeking a Senior Networking Architect to help design the next generation of AI-enabled data center networks. The role spans ASIC design to software, topology and system architecture, with collaboration across internal teams and industry groups.

You’ll influence through research and practical development to push AI networking forward. The ideal candidate has deep networking knowledge, strong problem-solving skills, and experience with ASICs, real-time software, and open standards.