Parking Ultrasonic sensor Algorithms Engineer

Design and implement signal processing and sensor fusion algorithms for ultrasonic-based parking assist systems. Collaborate with hardware, software, and systems teams to ensure accurate and reliable distance detection and object recognition in automotive environments. Key Responsibilities: Develop signal processing algorithms for ultrasonic sensors to detect distances and identify obstacles. Filter and interpret raw sensor data using methods like Kalman filtering, FFT, envelope detection, and matched filtering. Implement sensor fusion algorithms combining ultrasonic data with other sources (e.g., camera, radar). Optimize algorithms for real-time embedded implementation. Validate algorithm performance using real-world and simulated datasets. Contribute to the integration of ultrasonic sensor models in system-level simulations (e.g., with MATLAB/Simulink). Support calibration and tuning processes for sensor deployment in vehicles. Collaborate with cross-functional teams to ensure compliance with automotive standards (e.g., ISO 26262, AUTOSAR). Required Skills and Qualifications: Strong knowledge of digital signal processing (DSP), especially for ultrasonic applications. Proficient in MATLAB/Simulink and/or Python for algorithm development and data analysis. Experience with C/C++ for embedded systems implementation. Understanding of sensor fusion techniques and Kalman filters. Familiarity with automotive communication protocols (e.g., CAN, LIN). Experience with real-time operating systems (RTOS) or embedded Linux is a plus. Knowledge of machine learning methods is a bonus (for obstacle classification or environmental context understanding).