Parking Perception Expert

Req ID 89174 | Shanghai, China, Capri (Shanghai) Automobile Technology Co., Ltd. About the Team This position is part of ZF’s ADAS & HPC business, which is entering an exciting new phase of growth and transformation within the advanced automotive technology space. The business unit is planned for divestiture, creating a unique opportunity to help shape the future of next-generation driver assistance and high-performance computing technologies.

What you can look forward to as Parking Perception Expert： Analyze system and customer requirements and translate them into parking perception algorithm and software requirements. Develop and optimize ultrasonic signal preprocessing, filtering, echo or target processing, data association and obstacle localization. Develop post-processing functions such as object tracking, confidence management, obstacle classification and freespace or parking-space related outputs.

Design and implement multi-sensor fusion algorithms utilizing ultrasonic sensors, vehicle motion information and other available sensors to improve perception robustness and accuracy. Develop parking environment modeling and map-building functions to generate a consistent and accurate representation of surrounding obstacles, freespace and parking infrastructure. Develop and optimize vehicle localization solutions based on dead reckoning (DR), environmental features and map information for low-speed parking applications.

Define module interfaces, data flow and algorithm architecture in cooperation with system and software architecture teams. Build evaluation methods and KPIs, perform offline data replay, SIL/HIL verification, vehicle calibration and corner-case analysis. Optimize algorithm robustness for complex parking scenarios, sensor interference, vehicle attitude changes and environmental variations.

Implement production-quality algorithms in C or C++ and/or Matlab/Simulink, considering embedded resource and real-time constraints. Prepare software requirements, design descriptions, test specifications and release documentation; support project integration and customer issue resolution. Your Profile as Parking Perception Expert: Master's degree or above in automation, electronic engineering, robotics, computer science, automotive engineering or a related field.

5+ years of relevant experience in automotive perception or embedded algorithm development, with hands-on experience in low-speed parking or ultrasonic sensing. Solid knowledge of ultrasonic signal preprocessing and post-processing, including filtering, target extraction, data association, triangulation/localization, tracking and freespace generation. Proficiency in C or C++ and Matlab/Simulink; experience with embedded software implementation and algorithm optimization.

Experience with algorithm verification, offline data analysis, SIL or HIL testing, vehicle calibration and debugging tools such as CANoe, CANalyzer, CANape or INCA. Strong analytical and problem-solving skills, ownership, teamwork and clear technical communication. Preferred: Experience with dead reckoning (DR), vehicle localization and multi-sensor fusion. Knowledge of SLAM, map building, occupancy grid mapping or parking environment modeling.

Experience with feature-based or map-based localization methods in low-speed autonomous parking scenarios. Experience with production parking functions such as APA, RPA, PDC or TBA, and familiarity with Automotive SPICE and ISO 26262. Why you choose ZF in Shanghai: Individual Growth: At ZF, you accelerate your career by working together across borders and cultures. Take advantage of global development opportunities, support and a flexible working environment.

Experience Variety: Join ZF to shape future mobility and sustainable systems. Drive smart solutions and contribute to safer, cleaner, affordable mobility for all. Find Inspiration: Develop yourself in a team-oriented and supportive environment at ZF. Take on international challenges, be inspired by your colleagues and shape the future with us. Be part of our ZF team as Parking Perception Expert and apply now! Contact Fangyuan Shen amanda.shen@zf.com