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Open nowPosted 64 days ago

校招-集合通信软件工程师

nio/campus870 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now校招-集合通信软件工程师nio/campus · Shanghai, Chinese Mainland
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  6. 44.6%60 days
This job: posted 64 days ago

The posting

1.面向自研多芯片分布式平台,研究、设计、实现高性能集合通信算法与通信软件栈,实现 AllReduce、AllGather、ReduceScatter、AlltoAll、Broadcast 等核心集合通信原语,参与自研通信库软件。 2.结合自研芯片片上互连、多芯片互联拓扑、高速网络硬件特性,做通信算法优化:Ring/Tree 等算法改进、分层通信、通信计算流水重叠、拥塞控制,降低通信延迟、提升带宽利用率、提升多芯片集群可扩展性。 3.对接大模型分布式训练 / 推理,完成通信库与上层推理框架、运行时的集成适配;搭建通信性能基准、压力测试、正确性验证平台,分析定位多机 / 多芯片场景下性能、死锁、稳定性问题,输出调优方案。 跟踪 NCCL、MPI、Gloo、DeepEP 等开源通信技术演进,开展前沿技术预研,输出技术方案,推动自研通信库产品化,支撑具身智能、Agent 平台等业务落地

1.学历专业:2027 届硕士 / 博士,计算机系统结构、高性能计算、通信与网络、电子与信息、应用数学等相关专业; 2.编程基础:精通 C/C++,熟悉 Linux 系统编程,掌握 Python,具备软件开发调试能力。 3.知识储备:熟悉并行计算、分布式系统基础原理;理解集合通信基本算法;了解高速网络 RoCE/IB 原理优先。 4.具备较强数学与算法分析能力,能够对通信算法做复杂度分析、仿真建模、原型实现;具备技术文档、方案撰写能力。热爱底层技术,善于定位复杂系统问题,具备良好沟通与团队协作。 优先(满足其一即加分) 做过 NCCL/MPI/Gloo 等通信库开发、适配、性能调优;有 IB、RDMA 编程经验; 硕士 / 博士课题涉及并行算法、集合通信、集群互联、分布式大模型训练/推理; 熟悉多卡 / 多机分布式框架(MegatronLM、DeepSpeed、vLLM 等); 有高性能网络、芯片间互联、拓扑路由相关科研项目,或有相关论文经验等。

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