Senior Principal Engineer, AI Networking

What you'll do

• Architect and develop high-performance networking software for large-scale AI and HPC environments.
• Design and implement RDMA-based services to enable low-latency communication across GPU clusters.
• Drive the evolution of collective communication frameworks and transport layers for distributed AI workloads.
• Develop congestion management, traffic engineering, and load balancing mechanisms for large-scale RDMA networks.
• Optimize end-to-end communication performance across networking, GPU, and software stacks.
• Lead performance analysis, bottleneck identification, and system-wide optimization efforts.
• Build observability, monitoring, telemetry, and debugging capabilities for large-scale distributed systems.
• Drive reliability, fault tolerance, and recovery mechanisms for mission-critical AI infrastructure.

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field; advanced degree preferred.
• 10+ years of software engineering experience building distributed systems, networking software, or infrastructure platforms.
• Deep expertise in RDMA technologies including RoCE, InfiniBand, or equivalent high-performance networking technologies.
• Strong experience developing networking software in C/C++.
• Experience designing and optimizing distributed communication frameworks and transport protocols.
• Solid understanding of operating systems, networking stacks, memory management, and performance optimization.
• Experience troubleshooting and optimizing large-scale production systems.
• Demonstrated technical leadership driving architecture and execution across multiple teams.