Principal Architect, AI Networking

An applied research team within NVIDIA’s Networking Systems & Software Architecture group is solving some of AI’s hardest infrastructure problems. The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands. This Principal Architect role leads the research agenda and architectural direction for how NVIDIA’s AI systems communicate at scale.

Requirements

• 15+ years in systems software and/or networking with deep expertise in high-performance networking
• Deep understanding of computer architecture, memory hierarchies, DMA engines, and OS-level networking
• Understanding of ML systems concepts—transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns
• Proficiency in programming languages such as C, C++, Rust and Python

Benefits

• Competitive salaries
• Comprehensive benefits package
• Equity
• Flexible work arrangements