锦鲤求职岗位描述
岗位职责
1，负责面向 QNX、Linux、Android 等操作系统的中间件模块设计、开发、调试与维护。
2，参与系统服务、通信机制、驱动适配层、接口封装等基础软件能力建设。
3，负责跨平台中间件组件的移植、性能优化、稳定性提升和问题定位。
4，配合应用、系统、驱动及测试团队，完成接口联调、问题分析和版本交付。
5，编写设计文档、接口说明、调试文档和维护手册等技术文档。
6，探索并使用 AI 工具提升代码开发、问题分析、测试和文档编写效率。
1. Design, develop, debug, and maintain middleware modules for QNX, Linux, Android, and related operating systems.
2. Participate in the development of core software capabilities, including system services, communication mechanisms, driver adaptation layers, and interface encapsulation.
3. Support cross-platform middleware porting, performance optimization, stability improvement, and issue troubleshooting.
4. Work closely with application, system, driver, and testing teams to complete interface integration, issue analysis, and version delivery.
5. Prepare technical documentation, including design documents, interface specifications, debugging guides, and maintenance manuals.
6. Explore and apply AI tools to improve efficiency in coding, issue analysis, testing, and documentation.
岗位要求
1，本科及以上学历，计算机、软件工程、电子信息、自动化等相关专业。
2，具备 3-5 年 C/C++ 开发经验，有嵌入式 Linux、QNX 或 Android 平台开发经验。
3，熟悉操作系统基础原理，包括进程/线程、IPC、内存管理、文件系统、网络通信等。
4，熟悉中间件开发场景，如系统服务、通信框架、HAL/抽象层、SDK/API 封装等。
5，具备良好的问题分析和调试能力，熟悉 GDB、日志分析、性能分析等常用工具。
6，具备良好的代码规范意识、文档能力和团队协作能力。
优先条件：
7，有车载系统、智能座舱、ADAS、机器人或工业控制相关项目经验者优先。
8，熟悉 SOME/IP、DDS、MQTT、DBus、Binder、Socket、共享内存等通信机制者优先。
9，有 Android Framework、HAL、Native Service 或 QNX Neutrino 开发经验者优先。
10，有跨平台软件架构设计、模块移植或性能优化经验者优先。
11，有 AI 编程工具、代码生成工具、自动化测试或研发提效工具使用经验者优先。
1. Bachelor's degree or above in Computer Science, Software Engineering, Electronic Engineering, Automation, or related fields.
2. 3-5 years of C/C++ development experience, with hands-on experience in Embedded Linux, QNX, or Android platform development.
3. Solid understanding of operating system fundamentals, including processes/threads, IPC, memory management, file systems, and network communication.
4. Familiarity with middleware development scenarios such as system services, communication frameworks, HAL/abstraction layers, and SDK/API encapsulation.
5. Strong problem-solving and debugging skills; experience with tools such as GDB, log analysis, and performance profiling tools.
6. Good coding discipline, documentation skills, and teamwork spirit.
Preferred Qualifications:
7. Experience in automotive systems, intelligent cockpit, ADAS, robotics, or industrial control projects is preferred.
8. Familiarity with communication mechanisms such as SOME/IP, DDS, MQTT, DBus, Binder, Socket, or shared memory is preferred.
9. Experience with Android Framework, HAL, Native Service, or QNX Neutrino development is preferred.
10. Experience in cross-platform software architecture, module porting, or performance optimization is preferred.
11. Experience using AI coding tools, code generation tools, automated testing tools, or R&D productivity tools is preferred.