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Kuaishou Technology · Beijing

# AI云原生调度工程师- 【可灵AI专项】

Beijing 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/31624)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / AI云原生调度工程师- 【可灵AI专项】

## Job description
- 深度参与可灵大模型云原生基础设施建设，打造支撑视频生成模型训练与推理的高性能 K8s 调度体系，具备万卡以上 GPU 集群的稳定调度与弹性扩缩能力；
- 负责可灵视频生成场景下的 AI 负载全生命周期管理，构建训推一体的统一调度架构，落地面向视频生成业务的配额管理与算力精准管控机制，支撑模型快速迭代与高并发推理请求；
- 深耕 GPU 调度与性能优化，针对视频生成任务的大内存、长时序特点，落地 GPU 拓扑感知、优先级调度、抢占、QoS 管控等核心能力，保障可灵在线推理低延迟与离线训练高吞吐的协同运行；
- 聚焦可灵大模型训推链路的云原生架构创新，攻关高性能网络通信（RDMA/InfiniBand）与存储加速，解决大规模视频模型在分布式训练通信、推理调度上的关键瓶颈，持续推动可灵 AI 基础设施的技术演进。
- 本科及以上学历，3 年及以上机器学习平台、云原生调度或 AI 基础设施相关研发经验；
- 熟悉 Golang / Java / Python 至少一种编程语言，具备扎实的代码能力，能独立主导核心模块的设计与落地；
- 深入理解 Kubernetes 核心原理，熟悉调度器扩展、资源管理机制与容器运行时，有 K8s 二次开发和生产维护经验；
- 有 GPU 调度、弹性调度、训推一体或大规模视频/图像生成模型基础设施项目落地经验者优先；
- 具备强烈的问题排查与攻坚能力，能在高并发、大规模集群环境下快速定位并解决性能瓶颈；
- 对 AIGC、视频生成等前沿 AI 技术有浓厚兴趣，具备自驱学习能力与创新意识，有强烈的 ownership 与责任心。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: Beijing[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/31624)

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