Develop inter-chip and inter-core communication by creating Complex Device Driver Software for real-time systems or gateway applications on Linux/QNX, using Embedded C++.
Lead a team and collaborate with subsystem owners to define and coordinate software interfaces in line with defined software architecture and requirements.
Optimize software performance through profiling, debugging, and code optimization techniques.
Create and maintain comprehensive documentation, including software designs, specifications, test plans, and results, adhering to company and industry standards.
Conduct unit testing, ensure code quality, and conduct in-depth analysis.
Support real-vehicle debugging, collaborating with internal and external partners on automated driving development and mass production.
Analyze, maintain, and resolve software issues in a timely manner, ensuring system stability and reliability
Qualifications
Technical Requirements:
Bachelor/Master degree in computer science or comparable major.
At least 5+ years of working experience in engineering of embedded systems or automotive electronics.
Proficient in Modern C++ with a good coding style; extensive development and debugging experience in embedded environments; hands-on development and mass production project experience is required.
Experience in developing on Linux, QNX, or equivalent OS platforms, with a solid grasp of multithreading and concurrency concept, is mandatory.
Familiar with network communication, inter-core communication, and related knowledge like CAN and Ethernet is a required.
Experience with sensors such as radar, lidar, GNSS & IMU, USS, or relevant hands-on development experience is a plus.
Experience in developing software according to the Classical AUTOSAR standard, especially in COM stack or time synchronization-related development, is a plus.
Familiar with software development processes and proficient in using code management tools such as Git.
Familiar with python, json, yaml and other script programming is a plus.
Responsible, with strong independent problem-solving and troubleshooting abilities.
Solid understanding of ARM architectures such as Cortex-A78, Cortex-R52, and Cortex-M7, or Infineon TC3xx series; hands-on experience with Nvidia Orin or Horizon J5/J6 platforms is highly desirable.