Job Description

Leading Japanese Semiconductor Manufacturing Equipment Company.

Perform data analysis of semiconductor equipment and implement machine learning methods, contribute to customer services by developing algorithms for detecting abnormal behaviors, predicting failures, and integrating them into tools. Contribute to the automation and autonomy of in-house products by developing algorithms using data analysis of semiconductor equipment and machine learning methods and integrating them into equipment control.

Responsibilities: (day to day work)

• Analyze data from semiconductor manufacturing equipment, implement algorithms in tools, and apply them to solve extraction and improvement challenges.
• Perform data analysis on semiconductor equipment and develop algorithms for automation and autonomy, focusing on equipment control and integration.
• Capture requirements, analyze requirements.
• Creating alignment between the team and client to help unblock issues that impede the teams performance.
• Deliver quality work products within schedule.
• Support customer in QA testing.
• Report progress, risks and problems to customer as required.
• Building and nurturing relationships with our clients in Japan.

Requirements:

Must Have

• Experience in algorithm development using machine learning or related technologies.
• Proficiency in Python, MATLAB, or R for data creation and algorithm development.
• Experience in Agile Software Development model.
• Excellent problem analyzing skills and documentation skills.
• Strong communication & collaboration skills to integrate well into our highly collaborative environment.

Good to Have:

• Experience with KNIME, DXP for tool development and analysis.
• Communication skills in both Japanese and English, with the ability to explain complex concepts.
• Experience in simulation techniques using physical models related to semiconductor processes.

Language Skill:

• Japanese: Native level / JLPT N3 or N2 above
• English Intermediate level