Data-Driven Semiconductor Manufacturing Engineer

Intel Corporation; Kulim; On-site; MYR 120,000 - 180,000; Full time

Job summary

Intel Corporation in Kulim, Malaysia seeks a Semiconductor Manufacturing Engineer to optimize manufacturing operations, analyze data, and implement automation and MES solutions. The role emphasizes data-driven decision-making, cross-functional collaboration, and advancing digital manufacturing capabilities.

The candidate will support MES deployments, troubleshoot systems, and develop monitoring and alerting for operational responsiveness, aligning with Industry 4.0 initiatives and smart

Qualifications

• Bachelor's degree in Data Science, Computer Science, Engineering, Information Systems, Manufacturing Engineering, Industrial Engineering, Statistics, or a related field with 2 years of experience; OR Master's degree in a relevant field.
• Basic knowledge of manufacturing processes and semiconductor manufacturing operations.
• Experience with data analytics, statistical analysis, or data visualization from academic or practical projects.

Responsibilities

• Analyze manufacturing, equipment, and operational data to identify trends and opportunities.
• Develop and maintain MES applications and integration solutions.
• Design data analytics, dashboards, simulations, and decision-support tools for factory operations.

Skills

Analytical thinking

Data-driven decision making

Cross-functional collaboration

Problem solving

Education

Bachelor's degree in Data Science/Engineering/CS/IS

Master's degree in a related field

Tools

Python

SQL

JavaScript

R

Job description

Intel Corporation in Kulim, Malaysia seeks a Semiconductor Manufacturing Engineer to optimize manufacturing operations, analyze data, and implement automation and MES solutions. The role emphasizes data-driven decision-making, cross-functional collaboration, and advancing digital manufacturing capabilities.

The candidate will support MES deployments, troubleshoot systems, and develop monitoring and alerting for operational responsiveness, aligning with Industry 4.0 initiatives and smart