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Lead and manage the end-to-end project lifecycle for ADAS system development, from initial concept to full-scale deployment. Ensure timely delivery, adherence to project scope, and meet all technical specifications and quality standards. Lead the development of ADAS algorithms and system software in programming languages such as C, C++, and Python Have hands-on experience with vehicle network architecture, specifically CAN (Controller Area Network) and Ethernet, and manage their integration into the ADAS system.
Use CAN and Ethernet tools for diagnostics, testing, and analysis of vehicle communication.
Strong understanding of vehicle network architecture, including CAN and Ethernet
protocols
Hands-on experience using CAN and Ethernet tools (eg, Vector CANalyzer, CANoe, Wireshark).
Expertise in DFMEA, DVP, and testing methodologies.
Proficiency in rapid prototyping techniques. Familiarity with development tools, such as MATLAB, Simulink, or similar tools for simulation and rapid prototyping
Strong knowledge of ADAS systems, including sensors (cameras, radar, LIDAR), ECU, and algorithms
Deep knowledge of ADAS technologies, sensor fusion, machine learning, and real-time operating systems (RTOS)
