[LPS] AI Platform Engineer (Technical)

Description and Requirements

About The Job Duty:•Engineer Hyper-Scale Cluster Platforms: Enhance Kubernetes-based cluster management systems to deliver superior performance, scalability, and resilience—supporting resource orchestration across client’s infrastructure.• Advance Unified Scheduling: Design and maintain a comprehensive scheduling framework that supports diverse workloads, including containers, VMs, online services, offline computing, AI/ML, and CPU/GPU-intensive tasks within massive-scale resource pools.• Develop Intelligent Scheduling Systems: Optimize workload performance and resource utilization across heterogeneous resources—CPU, GPU, memory, network, and power—spanning global data centers.• Deliver Excellence and Innovation: Produce high-quality, maintainable code while staying ahead of advancements in open-source technologies, AI/ML research, distributed systems, and serverless degree in Computer Science, Computer Engineering or a related a...