We are seeking a Staff AI Scheduling & Orchestration Engineer to lead the workload placement logic that defines our AI-native NeoCloud platform. Standard Kubernetes scheduling is insufficient for the demands of large-scale AI; you will be responsible for eliminating "GPU stranding" and maximizing utilization across our expensive compute fleets. This role is pivotal in building a high-performance scheduling fabric that understands the physical realities of our hardware—from NVLink-connected GPU topologies to InfiniBand interconnects. You will work at the intersection of distributed systems and AI, driving the architectural decisions that enable our platform to handle massive-scale distributed training and inference jobs with industry-leading efficiency.