About this role
About the Role FutureStarter role at ZF within the ADAS & HPC business, focused on shaping the future of mobility. You will design and iterate multi-modal fusion algorithms for camera and radar, and contribute to perception systems for mass-production vehicles. This role is part of an exciting growth phase as the team advances driver assistance and high-performance computing technologies. What You'll Do
- Design and iterate multi-modal fusion algorithms for camera, millimeter-wave radar and etc.
- Implement core functions including 3D object detection, multi-object tracking, classification, velocity & pose estimation, and environmental semantic modeling.
- Responsible for overall system architecture design, interface definition and data flow optimization of the perception fusion module.
- Establish standard pipelines for sensor time synchronization, coordinate unification, cross-sensor object association and fusion confidence evaluation.
- Analyze massive real road test data, identify and resolve core perception issues including false detection, missing detection, object jitter and trajectory drift under challenging scenarios.
- Complete full-loop algorithm tuning and strategy iteration to improve the stability, accuracy and consistency of 360° full-scene perception for mass-production vehicle. What We're Looking For
- Master’s degree or above in electrical engineering, robotics engineering, computer science, automotive, mechanical engineering.
- Proficient in core fusion theories including Kalman Filter, data association, Hungarian algorithm, Bayesian estimation and multi-object tracking.
- Solid knowledge of 3D geometry, coordinate transformation.
- Proficient in C++ and Python programming.
- Familiar with Linux development environment, CMake compilation and debugging tools.
- Practical experience with Sparse4D, BEV Fusion, Memory Bank and other state-of-the-art temporal perception fusion frameworks.
- Strong analytical and problem-solving skills.
- Strong sense of ownership and accountability, teamwork.
- Fluent English oral and written skills to communicate with global algorithm team. Nice to Have
- Experience with temporal perception fusion frameworks such as Sparse4D, BEV Fusion, Memory Bank. Compensation & Benefits
- Global development opportunities and cross-border collaboration.
- Flexible working environment and supportive, team-oriented culture.
- Opportunities for personal growth and shaping the future of mobility.