- Location
- 5-8F TOWER C, 788 JINZHONG ROAD, 200052, CHANGNING, CN, China
- Type
- Full-time
- Department
- Engineering
- Seniority
- Lead
- Closing date
- Today
- Source
- Workday
Description
Job descriptions may display in multiple languages based on your language selection.
What we offer:
Group Summary:
Job Responsibilities:
POSITION RESPONSIBILITY:
SoC中间件模块开发：负责车载中间件（如DDS、SOME/IP、CAN/LIN通信模块）的设计、开发与维护，支持自动驾驶系统集成。开发或适配Linux/Qnx/Vxworks平台中间件，实现跨平台兼容性（如图像，音频、蓝牙、Wi-Fi等）
系统架构优化：优化POSIX标准实现，设计硬件抽象层（HAL）和操作系统抽象层（OSAL），提升软件可移植性。解决多传感器融合、实时性保障及系统级问题（如内存管理、进程间通信）。
协议与驱动开发：开发车载通信协议栈（如CAN FD、Ethernet TSN），适配高速接口（PCIe、MIPI）及专用硬件模块（NPU、GPU）。移植和优化Linux驱动（字符设备、网络设备），调试外设接口（SPI、I2C、UART）。
性能与安全：优化系统启动速度、功耗管理及安全机制（如功能安全FuSa、EMC/EMI设计）。实现OTA/FOTA升级功能，保障系统稳定性和数据安全。
POSITION REQUIREMENTS:
学历与专业：统招本科及以上学历，计算机科学、电子工程、通信工程及相关专业背景
经验要求：拥有5年以上基于Linux/Qnx/Vxworks操作系统的中间件模块/Hypervisor架构设计及开发经验；智驾或者座舱域控制器量产开发工作经验。
技能要求：
精通C/C++，熟悉C++14/C++17标准，有良好的编程习惯；
熟悉DDS/SOMEIP/CyberRT等常用通信中间件以及相应算法设计工作；
熟悉宏内核/微内核操作系统开发工具及调试工具，熟练运用stress-ng、fio、iperf3等测试工具完成相关测试；
熟悉TCP、UDP、ICMP等核心网络协议通信协议；
了解Autosar软件架构体系，熟悉ASPICE和ISO26262规范；
较强的沟通能力和解决问题的能力；
了解端侧AI推理优化（如TensorFlow Lite、ONNX Runtime等）；
语言能力：英文听说读写流利。
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
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