AEB Algorithm Engineer

Req ID 89163 | 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 an AEB Algorithm Engineer: Develop and optimize AEB/ACC longitudinal control algorithms for L2/L2+ ADAS functions. Develop, implement, and optimize AEB algorithms Design and develop AEB functional strategies based on domestic and international regulations and assessment protocols, including Euro NCAP, C-NCAP, GB standards, UNECE regulations, and customer-specific requirements .

Build and maintain AEB algorithm models using MATLAB/Simulink , including threat assessment, target selection, collision prediction, braking decision, and intervention logic development. Perform algorithm calibration and parameter tuning to achieve optimal performance in terms of braking effectiveness, false braking suppression, robustness, and driver acceptance. Support model-based development workflows, including MIL, SIL, HIL verification and automated testing processes.

Analyze simulation, proving ground, and vehicle test data to evaluate key performance indicators such as TTC calculation accuracy, braking timing, stopping distance, and collision avoidance performance. Collaborate closely with perception, system, software, testing, and vehicle integration teams to ensure seamless feature integration and issue resolution. Participate in algorithm validation under various traffic scenarios and environmental conditions, including vehicle-to-vehicle, vehicle-to-pedestrian, vehicle-to-cyclist, junction, crossing, and cut-in scenarios.

Investigate customer and vehicle fleet issues, perform root cause analysis, and implement corrective actions to improve product quality and field performance. Support software and algorithm development activities in compliance with ASPICE , ISO 26262 , and functional safety requirements throughout the product development lifecycle. Your Profile as an AEB Algorithm： Master’s degree in Control Engineering, Automotive Engineering, Robotics, Computer Science, or related fields.

1+ years of experience in ADAS, autonomous driving, control algorithm, or robotics development. Familiar with AEB, ACC, TJA, LKA, NOA, or related driving functions. Knowledge of PID, MPC, trajectory planning, vehicle dynamics, and control systems. Proficient in C++ and familiar with Python. Experience with Linux and MATLAB/Simulink. Understanding of automotive software development and functional safety concepts.

CET-6. Why you should choose ZF in Shanghai? Why you should 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 AEB Algorithm Engineer and apply now! Contact Fangyuan Shen amanda.shen@zf.com