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.
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 4.0, Smart Manufacturing, AI/ML, and digital transformation initiatives.
- Strong communication skills and ability to collaborate across multiple engineering disciplines.
- Experience working with large manufacturing datasets and operational metrics.
- Passion for developing innovative manufacturing technology solutions that improve productivity, quality, and efficiency.
Excited to shape the future of semiconductor manufacturing? Join us and bring your skills and ideas to life through collaboration, impact, and growth.
Job Type:Experienced HireShift:Shift 1 (Malaysia)Primary Location: Malaysia, KulimAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/A
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.Skills Required
- Bachelor’s degree in Data Science, Computer Science, Engineering, Information Systems, Manufacturing Engineering, Industrial Engineering, Statistics, or a related field with two years of experience; or a relevant master’s degree.
- Basic knowledge of manufacturing processes and semiconductor manufacturing operations.
- Experience with data analytics, statistical analysis, or data visualization through academic projects, internships, coursework, or practical training.
- Programming knowledge in Python, SQL, JavaScript, R, or a similar language.
- 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.
- Experience with Manufacturing Execution Systems, 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 4.0, smart manufacturing, AI/ML, and digital transformation initiatives.
- Strong communication skills and ability to collaborate across multiple engineering disciplines.
- Experience working with large manufacturing datasets and operational metrics.
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Leave & Time Off Breadth — Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
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Parental & Family Support — Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
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Healthcare Strength — Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.
Intel Insights
What We Do
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