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Open nowPosted 90 days ago

实时中间件开发工程师

xiaopeng/index1,587 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now实时中间件开发工程师xiaopeng/index · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. xiaopeng/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 90 days ago

xiaopeng/index median: 1 days open

The posting

1、负责自研大算力自动驾驶推理芯片的实时中间件开发与优化,确保系统在高并发、低延迟场景下的稳定运行; 2、参与中间件架构设计,包括消息队列、任务调度、线程/进程管理、资源分配等核心模块的开发与调试; 3、与算法团队协作,将训练完成的模型高效部署到中间件中,实现模型的实时推理与响应; 4、负责中间件的性能调优,包括吞吐量、响应时间、资源利用率等关键指标的优化; 5、参与中间件的测试与验证,编写自动化测试脚本,确保系统在不同硬件平台上的兼容性与稳定性; 6、跟踪行业最新技术动态,探索中间件在边缘计算、分布式系统等场景下的应用潜力。

岗位要求: 1、精通C/C++编程语言,熟悉Linux系统开发与调试; 2、熟悉多线程/多进程调度与通信机制,具备良好的并发编程能力; 3、熟悉主流中间件框架(如ROS、Cyber、DDS等),有相关开发经验者优先; 4、熟悉消息队列系统(如ZeroMQ、RabbitMQ、Kafka等),具备消息传递与同步机制的实现能力; 5、熟悉自动驾驶系统架构,了解感知、决策、控制等模块的交互逻辑; 6、具备良好的算法基础,熟悉常用数据结构与算法,有模型部署经验者优先。

掌握经验优先 有自动驾驶中间件开发经验,熟悉自动驾驶系统整体架构; 有分布式系统开发经验,熟悉高并发、低延迟场景下的系统设计; 有模型推理与部署经验,熟悉TensorRT、ONNX等推理框架; 有ROS或CARLA等仿真平台开发经验者优先。

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