Parking Perception Expert

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.