ADAS AI/ML Engineer

About the Department: The Industrial Autonomy & Engineering (IA&E) unit drives digital transformation by delivering AI-enabled, software-defined, and secure intelligent products that enhance customer experience and performance. We collaborate with Automotive OEMs and Tier-1 suppliers to advance Software-Defined Vehicles using AI, IoT, cloud, and cybersecurity technologies. About the Project: A multi-program engagement with a leading global Tier-1 supplier for end-to-end AD/ADAS system development. The team collaborates across project management, system architecture, software development, AI integration, system integration, validation, safety, and security to deliver scalable, high-quality, and production-ready ADAS solutions. Role Overview: Develop and deploy AI/ML models for next-gen ADAS systems, enabling safe and intelligent autonomous driving. Key Responsibilities: Design, train, and optimize deep learning models for perception and sensor fusion work with camera, LiDAR, and radar data for real-world ADAS applications Collaborate with system, embedded, and validation teams Support model deployment, performance tuning, and edge optimization Conduct testing, validation, and edge-case analysis Requirements Registration Qualifications: Strong experience in deep learning (PyTorch/TensorFlow) and Python Hands-on with ADAS perception models (object detection, segmentation) Experience with multi-sensor data and fusion techniques Knowledge of tracking/prediction models (eg, SORT, LSTM, Transformers) Preferred: Experience in autonomous driving systems or edge deployment Exposure to modern AI (transformers, multi-models) Knowledge of large-scale data pipelines. Language Requirements: Japanese/English both Advanced Business Level (Able to handle meetings independently, presentations, and discussions with clients and internal stakeholders).