Lead Network Engineer (AI)

Company

hirify.global is building high-performance infrastructure for frontier-scale AI training and inference workloads.

What you will do

• Define long-range architecture for AI fabric evolution, including RoCE, NVIDIA InfiniBand, and emerging optical designs.
• Own congestion control strategies, including PFC, ECN, DCQCN, and queue management for high-performance traffic.
• Drive topology design decisions to improve NCCL all-reduce performance and tail latency stability.
• Establish observability standards for fabric telemetry, packet loss, and end-to-end job impact.
• Lead vendor engagement for switches, optics, and NICs while mentoring senior engineering staff.

Requirements

• Demonstrated experience in hyperscale networking, HPC fabrics, or RDMA systems at large scale.
• Deep expertise in ECMP, adaptive routing, queueing theory, and network telemetry pipelines.
• Proven track record designing and operating AI or HPC interconnects.
• Strong working knowledge of distributed training frameworks and collective communication libraries like NCCL and UCX.
• Ability to lead major technology transitions across multiple hardware generations and mixed-vendor environments.