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Salary
≈ $6.5k – $13k per year (Estimated)
Location
In office (Nakhon Ratchasima)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 19, 2026.

Overview
Company
Impact
Profile match
With operational headquarters in Fremont, California, and legal domicile in Dublin, Ireland, Seagate Technology is a leading global data storage company specializing in hard disk drives (HDDs), solid-state drives (SSDs), and high-capacity mass-storage systems. Founded in 1978, the company designs, develops, and manufactures infrastructure solutions that enable enterprises, cloud data centers, and consumer markets to store, manage, and protect massive volumes of data. Serving clients worldwide across diverse industries, it provides advanced storage technologies tailored for artificial intelligence, machine learning, cloud computing, and high-performance computing environments.

About our group:

Slider Operation & Development Integration supports slider manufacturing through equipment maintenance, process sustaining, capacity improvement, and continuous improvement. Within ME Slider Cleaning, the team drives equipment reliability, preventive maintenance, process monitoring, Smart Factory integration, and data-based operational improvement.

The intern will work with maintenance and engineering teams to convert machine, process, and maintenance data into practical dashboards and digital tools that improve visibility, response time, and decision-making.

About the role - you will:

  • Develop and enhance Maintenance Monitoring Dashboards for preventive maintenance status, overdue activities, machine downtime, and equipment health.
  • Develop KPIV dashboards to monitor key process input variables, parameter trends, control limits, and abnormal conditions.
  • Collect, clean, validate, and transform data from manufacturing, maintenance, and engineering data sources.
  • Create interactive visualizations and automated reports using Power BI, Power Query, Excel, or equivalent tools.
  • Support SQL queries, database connections, and data models required for dashboard development.
  • Automate repetitive engineering reports and improve data-refresh workflows.
  • Analyze equipment performance, maintenance history, OEE, utilization, and downtime trends.
  • Support predictive maintenance, machine health monitoring, and early-warning concepts where applicable.
  • Work with engineers and technicians to gather user requirements, test solutions, and improve dashboard usability.
  • Prepare technical documentation, user guides, source definitions, and project presentations.
  • Support other IT, computer, data analytics, automation, and Smart Factory assignments related to manufacturing engineering.

About you:

  • Interested in data analytics, software development, industrial digitalization, or Smart Manufacturing.
  • Able to analyze problems logically and convert user requirements into practical solutions.
  • Willing to learn manufacturing processes, maintenance workflows, and industrial systems.
  • Able to work independently while collaborating with engineers, technicians, and cross-functional teams.
  • Good communication, documentation, teamwork, and presentation skills.
  • Able to communicate in English at a level suitable for technical documents and presentations.

Your experience includes:

Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Information Technology, Software Engineering, Data Science, Artificial Intelligence, Industrial Engineering with strong data-analytics knowledge, or a related field.

Data Visualization: Knowledge of Power BI, Power Query, Tableau, advanced Excel, or equivalent visualization tools.

Programming: Basic knowledge of Python, SQL, C#, JavaScript, or another programming language.

Database: Basic understanding of relational databases such as Oracle, SQL Server, MySQL, or PostgreSQL.

Data Analytics: Ability to clean data, create data models, analyze trends, and communicate findings clearly.

Software Development: Basic knowledge of web applications, APIs, Git/version control, or data pipelines is an advantage.

AI and Automation: Interest or experience in machine learning, AI/LLM applications, workflow automation, or predictive analytics is an advantage.

Manufacturing Knowledge: Interest in equipment maintenance, process control, OEE, KPIV, SPC, or Smart Factory applications is preferred but not mandatory.

Location:

Korat, Thailand

Our Korat facility is our largest manufacturing site worldwide, Here, our team produces cloud-based storage equipment, from individual storage components to finished drives. Employees enjoy ample on-site parking, free shuttle vans and buses within the city of Korat, as well as transportation to and from Bangkok and Khon Kaen province on weekends. At work, you can grab a delicious breakfast, lunch, dinner, or snacks at one of our 24/7 on-site canteens or coffee shops. We offer table tennis, basketball, volleyball, a running/walking trail, and exercise classes in our on-site fitness center. In addition, there are relaxing spaces with comfortable seating both indoors and outdoors, perfect for taking a break during the day.

Additionally, consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate Asia’s parents and caregivers group. We also have many on-site recreation events and opportunities to give back to the local community.

Location: Korat Thailand

Travel: None

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