ADAS AIML Engineer
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Job Summary
- 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.
- 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.
- Develop and deploy AI/ML models for next-gen ADAS systems enabling safe and intelligent autonomous driving.
- 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
- 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)
- Experience in autonomous driving systems or edge deployment
- Exposure to modern AI (transformers multi-models)
- Knowledge of large-scale data pipelines.
- Japanese/English both Advanced Business Level (Able to handle meetings independently presentations and discussions with clients and internal stakeholders).
Required Skills:
