Job Description

HOYA Electronics' primary focus is on the development of optical and extreme ultraviolet (EUV) photomask blanks, which are critical components in the manufacturing process of the latest-generation chips used in various applications such as artificial intelligence, high-performance computing, and 5G, as well as the production of various memory, logic, and power devices.

Life at HOYA Electronics

HOYA strives to create innovations for a better future for people.


At HOYA Electronics, we are dedicated to innovation in the information technology segment, envisioning a world where all can thrive in harmony with nature. Our people are guided by our mission along with principles of commitment and innovation, influence every decision and action we take. We prioritize environmental protection, safety, and human rights, fostering diversity, inclusion, and employee well-being.


Be Empowered to Innovate and Develop for a Better Tomorrow with Us


Experience an empowering and inclusive workplace that fuels your growth and development. Unlock your potential with abundant opportunities for skill-building and career advancement. Thrive in an environment that supports work-life balance and values your well-being. Receive fair and competitive rewards - your success is our success. We believe in recognizing excellence and celebrating your contributions.

Get to Know the Role

This Smart Manufacturing System Analytics Engineer role is responsible for leveraging advanced data analytics, artificial intelligence and machine learning and digital technologies to optimize manufacturing processes, enhances system performance and drive operational efficiencies. This role bridges the gap between manufacturing operations and IT team by ensuring that manufacturing systems are smart, connected and continuously improving through data-driven insights.

Essential Responsibilities

Collaborate with cross-functional teams in developing and implementing smart manufacturing initiatives including AI/ML applications within the fab Integrate data from MES, SPC and Advanced Process Control systems for real-time insights and manufacturing automation Analyze large datasets to identify patterns, trends and anomalies in production, maintenance and inspection processes Develop advanced machine learning and statistical models for predictive maintenance, anomaly detection and process optimization Build real-time dashboards and alert systems to drive actionable insights for process, equipment and development engineers

Skills and Competencies Profile

Bachelor/Master's degree in Engineering, Computer Science, Data Science or related field 5+ years of experience in semiconductor manufacturing, process engineering or data analytics Strong Proficiency in programming languages such as Python, R, or similar for data analysis and model development Experience in data visualization tools (e.g. Power BI, Tableau) and dashboarding Fluency in deploying machine learning models and statistical analyses in a manufacturing context is a bonus Strong understanding of database technologies (SQL/NoSQL) and data architecture * Excellent problem-solving abilities and a data-driven mindset