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Open nowPosted 115 days ago

Arch / Infra 高级工程师

knowinai/referral21 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen nowArch / Infra 高级工程师knowinai/referral · Shenzhen, Guangdong, Chinese Mainland
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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. knowinai/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 115 days ago

knowinai/referral median: 1 days open

The posting

岗位职责 你将会在以下的一个或多个子方向发现、定义、解决问题;我们鼓励我们团队的成员具有多元化的能力 机器人端侧框架 设计与演进自研机器人端侧运行时框架,支持多算法模块的编排、调度,与算法团队协作,将视觉 / 感知 / 控制 / 规划模块工程化落地,优化实时性与稳定性,设计端云通信协议与数据同步机制,建立端侧与云端的统一任务模型 云端集群体系 构建机器人云端服务体系,包括模型服务、数据服务、调度服务、大模型推理服务等,设计高可用、可扩展的云端基础架构;负责大模型推理集群的构建与性能优化,提升模型服务的吞吐、延迟、资源利用率与稳定性;建设端云协同链路,包括数据回传、模型下发、任务调度等;搭建数据自动化处理管线,优化数据流转、清洗、标注、回放与分析效率,支撑机器人数据闭环;优化大规模服务的部署与发布效率,建设可观测性体系,支撑多机器人并发接入与数据隔离。

基础工程能力 熟练掌握 C++ 或 Python(至少一种为主力开发语言),具备良好的代码设计能力(模块化 / 抽象 / 可维护性),能与 Coding Agent / AI 工具高效协作开发的同时自身具有对简洁可靠、可维护代码美学的认知;熟悉系统编程基础,如并发编程、网络编程、高性能编程、Linux 系统开发与调试能力 系统能力 能理解并拆解复杂工程系统,理解分布式系统或实时系统基本设计思想;有中大型系统设计或核心关键模块设计经验优先 工程协作能力 良好的跨团队沟通与学习能力(算法 / 后端 / 运维 / 硬件),重视工程质量与可测试性

加分项 有机器人系统开发经验 有 Kubernetes / 云原生系统经验 熟练掌握更多的编程语言,例如Rust、C、Go等 有实时系统 / 边缘计算 / 多传感器系统经验 有自动驾驶 / 机器人 / 工业控制系统经验 有自研 runtime / middleware / scheduler 经验 有开源项目或工程实践作品者优先(请在简历中随附)

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