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Help shape the future of mobility. Imagine a world with zero vehicle accidents, zero vehicle emissions, and wireless vehicle connectivity all around us. Every day, we move closer to making that world a reality. Aptiv’s passionate team of engineers and developers creates advanced safety systems, high-performance electrification solutions and data connectivity solutions so that automakers can bring advanced capabilities to more people around the globe. This is how we enable sustainable mobility and help to prevent accidents caused by human error.
Job Responsibility:
Develop fusion algorithms combining radar and camera data for object detection, tracking, and classification in parking and low-speed environments
Implement signal processing algorithms for radar (FFT, CFAR, Doppler/angle estimation) and camera (image processing, object detection, semantic segmentation)
Design sensor calibration and extrinsic/intrinsic alignment pipelines for multi-camera + radar setups
Integrate radar-camera perception into 360° surround view systems and infotainment HMI
Optimize algorithm performance for embedded SoCs (Qualcomm SA8295P, NVIDIA Orin, TI Jacinto), considering latency, memory, and CPU/GPU utilization
Develop simulation models and test benches using MATLAB, Python, or Simulink to validate fusion algorithms
Support SIL/HIL validation and vehicle-level testing for parking and surround view functions
Requirements:
Bachelor’s / Master’s degree in Electronics, Electrical, Computer Science, or related field
5–10 years experience in ADAS, Radar, and Camera perception algorithm development