Failure Analysis Tools Development Intern

About our group:

The SSDC Engineering Analysis team supports drive qualification, troubleshooting, and failure analysis. The team works with engineering data from laboratory and manufacturing test processes to identify failure signatures, improve analysis consistency, and provide timely technical findings to product and reliability teams. The intern will work with failure analysis engineers in Singapore while contributing tools that can support a broader engineering workflow.

About the role - you will:

• Develop Python-based failure analysis tools that reduce manual data preparation, repetitive plotting, and report-generation work.
• Work with engineers to understand current failure analysis workflows, identify efficiency gaps, and translate user needs into practical tool features.
• Retrieve, clean, combine, and analyze structured engineering data from files, databases, or internal data services.
• Create clear visualizations and interactive dashboards that help engineers compare drive, head, operation, test sequence, and failure-mode data.
• Automate recurring analysis tasks such as filtering, trend detection, failure-signature comparison, chart generation, and summary export.
• Validate tool outputs against existing engineering methods and improve usability based on engineer feedback.
• Document the tool architecture, data assumptions, user workflow, and maintenance steps so the solution can be extended after the internship.
• Support other engineering analysis and process-improvement assignments when required.

About you:

• Curious about how software and data analysis can solve real engineering problems.
• Able to break down an open-ended problem, test ideas, and iterate based on user feedback.
• Careful with data quality, technical details, and validation of analysis results.
• Self-motivated and able to work independently while collaborating closely with engineers.
• Comfortable communicating technical findings and asking questions when requirements or data are unclear.

Your experience includes:

• Currently pursuing a Bachelor degree in Computer Science, Computer Engineering, Data Science, Software Engineering, Electrical or Electronics Engineering, or a related discipline.
• Hands-on Python programming experience. Python is required for this internship.
• Working knowledge of data processing and analysis using libraries such as pandas and NumPy.
• Experience creating plots or dashboards using tools such as Plotly, Matplotlib, Streamlit, Dash, or similar technologies.
• Understanding of software-development fundamentals, including modular code, debugging, version control, and basic testing.
• Ability to communicate in written and spoken English.

Location:

The Shugart site (named after Seagate’s founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities.

Location: Shugart, Singapore

Travel: None