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).
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