Define and own the end-to-end algorithmic architecture for ADAS functions such as Adaptive Cruise Control (ACC), Lane Keeping Assist (LKA), Automatic Emergency Braking (AEB) etc.
Decompose system-level ADAS functions into modular algorithm components: perception, fusion, prediction, planning and control.
Design sensor fusion frameworks (camera, radar, ultrasonic, IMU, GNSS) for accurate environment modeling and object tracking.
Architect algorithms for multi-sensor object detection, classification, and tracking, leveraging both traditional signal processing and AI/ML methods.
Define the software and hardware architecture interfaces to support real-time execution of algorithms on ECUs, GPUs, and embedded processors.
Optimize algorithms for embedded performance, latency, and memory efficiency while maintaining high accuracy.
Collaborate with system architects, software engineers, and data scientists to ensure seamless integration and deployment.
Conduct algorithm performance evaluations using simulation, SIL/HIL, and on-vehicle validation.
Contribute to functional safety (ISO 26262) and SOTIF (ISO 21448) compliance from an algorithmic perspective.
Maintain awareness of latest research and technologies in ADAS, perception, and AI for automotive applications.
Mentor and guide algorithm engineers in technical design, modeling, and validation best practices.
