•Develop and optimize embedded middleware for intelligent driving and cockpit systems.

•Design and implement efficient communication frameworks to enable seamless data exchange.

•Ensure system stability, scalability, and real-time performance.

•Lead the design and implementation of a scalable middleware platform to support various embedded applications.

•Drive the platformization strategy and ensure successful deployment across different hardware and software environments.

•Collaborate with cross-functional teams, including hardware engineers, software developers, and system architects.

•Conduct code reviews and provide technical guidance to improve software quality.

•Troubleshoot and debug complex embedded systems issues.

•Stay updated with the latest trends and advancements in embedded systems and middleware development.

•Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

•Proficiency in C/C++ programming with a strong understanding of embedded systems.

•Experience in developing and optimizing communication frameworks such as IPC, RPC, DDS,Fdbus, or similar.

•Familiarity with QNX and Linux-based embedded development.

•Knowledge of automotive middleware standards such as Adaptive AUTOSAR.

•Experience in middleware platform design and implementation, with a focus on scalability and modularity.

•Strong problem-solving skills and the ability to work independently or as part of a team.

•Excellent analytical and debugging skills.

•Proficiency in English, with strong written and verbal communication skills.

Preferred Qualifications:

•Experience with middleware development for intelligent driving and cockpit systems.

•Familiarity with automotive communication protocols such as Fdbus, Ethernet, and SOME/IP.

•Experience with multi-threaded and multi-core programming.

•Understanding of safety-critical software development and compliance standards.

•Experience with GPU, NPU computation scheduling framework