Support the design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation and deployment
The AI Model Development Engineer – ADAS will design, train, and optimize deep learning models for perception, sensor fusion, tracking, and decision-making in advanced driver assistance systems.
This role focuses on building production‑ready models using camera, LiDAR, and radar data to enable safe and reliable driving features.
The engineer will collaborate closely with data, embedded, and validation teams across the AI lifecycle.
Strong expertise in deep learning, multi‑sensor fusion, and real‑world deployment constraints is essential.