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Intel

Semiconductor Manufacturing Engineer

Intel is hiring a Semiconductor Manufacturing Engineer. Level rates it ; you can apply on Intel.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions MES, manufacturing execution systems and data analytics among its tools and skills.
  • Level classes it as a mid-level role.
  • Intel has 823 other open roles on Level.
  • Posted within the past week.

AI in this role

Optimize semiconductor manufacturing operations using data analysis, MES applications, and smart manufacturing technologies.

mes
manufacturing-execution-systemsdata-analyticsstatistical-analysismachine-learningautomation
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 4.0, 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 Hire

Shift:

Shift 1 (Malaysia)

Primary Location: 

Malaysia, Kulim

Additional 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 Trust

N/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.

How we rate this

Semiconductor Manufacturing Engineer at Intel rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Manufacturing Execution SystemsData AnalyticsStatistical AnalysisMachine learningAutomationMES

Questions you could be asked

  1. Tell me about a project where manufacturing execution systems was part of your work. What did you do?
  2. Tell me about a project where data analytics was part of your work. What did you do?
  3. Tell me about a project where statistical analysis was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where automation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Manufacturing Execution Systems, Data Analytics, Statistical Analysis, Machine learning, and Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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