Position
Automotive Data Analyst & AI Model Development Engineer
Domain: Automotive Engineering
Location: Tokyo / Kanagawa
Employment Type: Full-Time
Company: Global Business & Technology Consulting Firm
Role Overview
This position focuses on the development of AI models for Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) solutions. The successful candidate will lead data analysis and processing activities within automotive AI projects and play a central role in delivering intelligent mobility solutions to clients.
The role contributes to strengthening the firm’s automotive engineering presence in Japan by utilizing global knowledge, methodologies, and engineering assets while building scalable local capabilities.
Close collaboration with both domestic clients and international development teams is essential. Business-level proficiency in Japanese and English is required.
Mission
You will contribute to the advancement of next-generation autonomous driving technologies by designing and implementing AI models deployed in ADAS and AD systems.
Areas of development include:
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Perception models
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Sensor fusion algorithms
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Object tracking and prediction systems
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Decision-making and motion planning logic
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Driver monitoring systems
In addition to technical delivery, you will help expand the organization’s automotive engineering capabilities in Japan by applying established global best practices and frameworks.
Key Responsibilities
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Design system architectures for ADAS and safety-critical automotive functions
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Develop and simulate ADAS functionalities using MATLAB and Simulink
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Lead automotive data analysis and processing initiatives across ADAS and AD programs
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Apply global engineering methodologies to strengthen local automotive capabilities
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Collaborate closely with clients and cross-functional global development teams
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Support strategic growth initiatives within the automotive engineering practice
Required Qualifications
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Minimum 5 years of experience as an automotive data engineer
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Proven experience designing and managing ADAS and AD data pipelines across edge and cloud environments (AWS or Azure)
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Strong expertise in:
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Sensor data ingestion and processing
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Multi-sensor fusion and time synchronization
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Noise filtering and sensor calibration
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Scalable storage and high-performance processing of automotive datasets
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Solid understanding of cloud architecture, database systems, and application integration on AWS or Azure
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Experience with AI-based image processing systems and LSI-related technologies
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Hands-on experience with Kubernetes and Databricks
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Experience with Apache Airflow, Kafka, AWS Flink, or custom ETL frameworks
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Experience working with data lakes and cloud storage platforms such as Redshift, AWS S3, or Azure Blob Storage
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Experience integrating MLOps platforms such as MLflow, Kubeflow, or ClearML
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Familiarity with DevOps methodologies and CI/CD pipeline implementation
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Strong programming skills in Python, Java, or C++
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Business-level proficiency in Japanese and English (reading, writing, speaking, and listening)
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Experience using collaboration and development tools such as JIRA, Confluence, GitHub, and Microsoft Office
Preferred Qualifications
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Experience in embedded software development for ADAS systems
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Prior experience working with Japanese automotive OEMs or Tier 1 suppliers
Domain Overview: Automotive Engineering Practice
The Automotive Engineering division supports OEMs and Tier 1 suppliers in areas such as software-defined vehicles, infotainment systems, and autonomous driving technologies. The practice emphasizes safety, reliability, availability, and maintainability of automotive systems and services delivered to global markets.
Company Overview
This organization is a global consulting and technology transformation partner supporting enterprises in accelerating digital and sustainable transformation. With decades of experience and a broad international presence, the firm delivers integrated services spanning strategy, engineering, technology implementation, and business operations.
The company combines advanced capabilities in AI, generative AI, cloud computing, and data with deep industry knowledge and a strong partner ecosystem to deliver end-to-end transformation solutions worldwide.