高性能通信库研发工程师 — AI 大规模训练通信方向上海社招全职研发 - 基础架构职位描述为什么加入我们 1. 你将直接影响 MiniMax大规模 GPU 集群的训练效率——通信是大规模分布式训练最关键的瓶颈之一，你的每一次优化都会体现在模型迭代速度上 2. 真实的 AI 原生大规模场景：不是实验室级别的 benchmark，而是 MoE专家并行、万卡训练等前沿架构下的通信挑战，你将在业界最前沿的工程实践中持续成长 3. 与训练框架、网络、硬件团队紧密协作，获得从 RDMA链路到分布式训练全栈的技术视野 我们在做什么 MiniMax 基础设施团队为公司 AGI 模型训练与推理提供高性能通信底座。我们负责集合 通信库的研发与深度优化，确保大规模分布式训练任务在千卡集群上稳定高效地运行。 这不是普通的网络开发工作，而是在 NCCL、DeepEP、UCX等通信库的内核层面做性能极致优化——你需要深入 AllReduce、All-to-All等通信原语的调度机制，理解 MoE 专家并行下 token dispatch/combine的通信语义，并在 RDMA/RoCEv2链路上构建可观测性体系，让万卡训练的通信链路可诊断、可调优、可自愈。 你将做什么 1. 设计并优化
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