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 (Py.

Torch/Tensor. Flow) 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).