ADAS AIML 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).
  

Required Skills:

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).
  

Employment Type : Full Time
Experience: years
Vacancy: 1