INTERNSHIP DETAILS

Recording Performance Engineering (RPE) Intern, Data Science

CompanySeagate Technology
LocationSingapore
Work ModeOn Site
PostedJanuary 26, 2026
Internship Information
Core Responsibilities
As an intern, you will develop and implement engineering solutions to enhance tester performance and productivity. You will work on projects like monitoring systems, real-time dashboards, and predictive troubleshooting systems.
Internship Type
full time
Company Size
16456
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Seagate is a leader in mass-capacity data storage. We’ve delivered more than four and a half billion terabytes of capacity over the past four decades. We make storage that scales, bringing trust and integrity to innovations that depend on data. In an era of unprecedented creation, Seagate stores infinite potential. Unlock the full value of your data today.
About the Role

About our group:

Recording Performance Engineering (RPE) department’s primary mission is to test the electrical efficiency of the magnetic media and head. We use VXI-Based Testing System (VTS) and Reduced Footprint Spin stand (RFS) as a component level of electrical tester. We will provide process feedback/design feedback for mass production and development/Launch and aid drive development by characterizing distribution and developing transfer function. In additional, we will test Failure Analysis tool (electrical HDD failures only) and screen defects (electrical only) related to magnetic sputtering process

About the role - you will:

As an intern in RPE department, you will work closely with the engineers to develop and implement smart factory and AI solutions engineering solutions to enhance tester performance and drive productivity improvements. A key aspect of your involvement will be looking to address metrology challenges and long-term issues.

 

You will embark on exciting projects designed to enhance our operational efficiency and align with our strategic objectives:

  • Monitoring System for Hardware Firmware Revision & Product Setup: Track firmware versions and product setups for testers, with triggers for detecting changes and logging activities.
  • Real-Time Dashboard for RFS Tester: Develop a dashboard to display RFS tester statuses across sites, with alerts for offline or error states and automated notifications for support.
  • Predictive System for Troubleshooting: Build a system that simulates expert decision-making and centralizes troubleshooting knowledge.
  • Inventory System for Test Heads and Reference Disks: Implement a system to track inventory levels and trigger alerts for low stock.
  • Auto data health profiler: Use of AI tools to monitor data health, detect performance drift before it breaches specs & lastly provide recommendation that converts findings to action.

About you:

We're looking for individual for someone who is:

  • Self-motivated and results oriented mentality
  • The ability to thrive in a dynamic, team-oriented environment.
  • Strong communication skills to effectively collaborate with cross-functional teams.
  • Analytical skills with an algorithmic thought process.
  • Able to commit Semester Internship (May to Dec/Jan)

Your experience includes:

  • Currently pursuing a bachelor’s degree in Electrical engineering with a strong understanding of data science modeling.
  • Experience in working on predictive modeling project
  • Proficiency in programming, with experience in Python, VBA, and data science tools.

Location:

Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound. 

 

Location: Woodlands, Singapore, W2
Travel: None

Key Skills
Data ScienceElectrical EngineeringPredictive ModelingPythonVBAAI SolutionsMetrologyTroubleshootingInventory ManagementDashboard DevelopmentPerformance MonitoringAlgorithmic ThinkingCommunicationTeam CollaborationSelf-MotivationResults Orientation
Categories
EngineeringData & AnalyticsTechnologyManufacturing
Benefits
Onsite CanteenIn-House GymDance StudioCommunity Volunteer Opportunities