About the role
Job Details:
Job Description:
The Role and Impact
As a Semiconductor Manufacturing Engineer, you will be at the forefront of optimizing manufacturing operations essential to Intel's continued success in technology development and high-volume production. You will analyze factory performance metrics, identify improvement opportunities, and implement solutions to enhance operational efficiency. Your role will include collaborating with cross-functional teams to sustain manufacturing processes, support new product introductions, and troubleshoot equipment and systems to ensure seamless factory operations. This job also requires supporting factory digitalization, Manufacturing Execution Systems (MES), data-driven manufacturing solutions, and continuous process improvement. The team focuses on transforming manufacturing operations through data science, automation, and smart manufacturing technologies to accelerate operational excellence and business outcomes.
Business group
This position is part of Intel's Manufacturing and Operations group, a team dedicated to advancing semiconductor production through innovation and operational excellence. The group focuses on optimizing manufacturing processes, enabling high-volume production, and driving efficiencies that support Intel's leadership in cutting-edge technology development.
Key Responsibilities
• Analyze manufacturing, equipment, and operational data to identify trends, risks, and improvement opportunities.
• Develop, maintain, and enhance Manufacturing Execution System (MES) applications and integration solutions.
• Design and implement data analytics, dashboards, simulations, and decision-support tools for factory operations.
• Collaborate with manufacturing engineers, process engineers, automation teams, and IT partners to deliver digital manufacturing solutions.
• Utilize statistical analysis, machine learning, and data visualization techniques to drive manufacturing optimization.
• Develop automated monitoring systems and alerts to improve operational responsiveness.
• Support MES deployments, enhancements, troubleshooting, and system sustainment activities.
• Identify and implement opportunities for process automation and manufacturing digitalization.
• Drive root cause analysis and problem-solving activities using manufacturing data and analytical methodologies.
• Ensure data integrity, system reliability, and compliance with manufacturing standards and operational requirements.
Qualifications:
Minimum 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 gained through academic projects, internships, coursework, or practical training.
• Programming knowledge in one or more languages such as Python, SQL, JavaScript, R, or similar.
• Familiarity with databases, data modeling, and reporting tools.
• Understanding of problem-solving methodologies and continuous improvement practices.
• Strong analytical thinking and ability to convert data into actionable insights.
Preferred Qualifications
• Experience with Manufacturing Execution Systems (MES), factory automation systems, or manufacturing applications.
• Knowledge of semiconductor manufacturing processes and factory operations.
• Familiarity with Power BI, Tableau, SQL databases, Python, machine learning, or predictive analytics.
• Experience developing dashboards, web applications, or manufacturing support tools.
• Understanding of Industry 4.
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