Test Data Analysis Technology Development Engineer

Japan

Engineering – Artificial Intelligence / Full-Time / On-Site

We're hiring a Test Data Analysis Technology Development Engineer for a global semiconductor company developing flagship automotive SoCs — large-scale chips integrating CPU, cache, memory, high-speed interfaces, AI, video, functional safety, and security — powering the intelligence and electrification of next-generation vehicles.

As automotive semiconductors become more sophisticated and complex, mass production testing and failure analysis are required to shift from traditional reliance on human effort and experience to data-driven and AI-powered approaches.

Our client positions the automotive semiconductor business, centered on R-Car and RH850, as a future growth area, and the advancement of test and failure analysis technologies is a crucial theme that will determine their competitiveness.

Therefore, in this position, they will strengthen their organization to create test data analysis and AI technologies that will actually be used in mass production environments, with an eye on next-generation architectures (Chiplet/MDP).

About the role

This position involves leveraging statistical analysis methods and AI technology to promote the automation and advancement of test data analysis, failure analysis, and test control in the mass production testing and failure analysis areas of automotive semiconductor products.

You will contribute to improving quality, cost, and development speed by utilizing the vast amount of test data accumulated in mass production environments, while also working to establish test data analysis technologies compatible with next-generation architectures such as chiplets and MDPs (Multi-Die Packages).

Systematizing and passing on this technology is also a crucial part of the mission.

Responsibilities

Data analysis and failure analysis utilizing mass production test data
Research and development of test data analysis technologies using AI/machine learning techniques
　(development of defect prediction, anomaly detection, and automated analysis models).
Development of technologies for improving test efficiency and quality
　(adaptive testing, test feedforward/feedback technologies)
Study and establishment of test data analysis methods for next-generation products (Chiplet/MDP)

Qualifications

【MUST】

Practical experience in data analysis and statistical analysis, including AI/machine learning (5 years or more)
Basic knowledge of semiconductor testing
Language and tool skills: Python, Linux
Japanese: Communication level
English: Able to understand what the other person is saying.

【WANT】

Practical experience as a semiconductor test engineer
The ability to systematically organize and restructure existing technologies and know-how.
Cross-departmental communication skills
Knowledge of Chiplet/MDP
Language and tool skills: Java, SQL, Docker, Git, Jupyter Notebook, FastAPI

Additional Information

*Details regarding the scope of changes to the work location and the scope of duties to be performed will be provided during the selection process.

Location: Kodaira, Japan

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