[July Onwards Intake] Internship - Packaging Engineering

Requirements

• Proficient in Python, SQL, and basic software engineering practices.
• Data manipulation libraries and ability to handle structured datasets efficiently.

Additional Information

This internship is for a student who can develop a yield application/system to improve visibility, speed, and consistency of yield analytics and reporting. You will work with engineering stakeholders to transform manufacturing/test data into usable applications, dashboards, and automation workflows, including data extraction, transformation, visualization, and deployment. ESSENTIAL ROLES AND RESPONSIBILITES: Develop and enhance a Yield Application/System to support engineering yield analytics and decision-making. Build data pipelines / ETL to pull and harmonize data from common factory/test sources. Work with stakeholders to translate yield analysis needs into system requirements, functional specs, and UI workflows; document assumptions and business rules clearly. Create dashboards or reporting layers and ensure metrics definitions are consistent and traceable. Implement data quality checks to improve trustworthiness of yield data. Support deployment and sustainment activities such as packaging code, organizing repository structure, and preparing for hosting on internal environments. Produce user guides / system instructions and handover documentation to enable future enhancement by engineering/automation teams. Collaborate with cross-functional partners (engineering, automation, manufacturing/test teams) and participate in reviews/demos of progress and results. REQUIRED: Currently pursuing a Bachelor's or Master's degree in Computer Science / Software Engineering / Data Science / Computer Engineering (or related). Computer Science background strongly preferred for automation/system development work. Programming capability in Python (or equivalent) with ability to write readable, maintainable code. Working knowledge of SQL and relational data concepts. Ability to learn and work with manufacturing/test datasets and convert them into actionable outputs. Good documentation and communication skills. PREFERRED: Proficient in Dashboarding/BI tools and web application development. Excellent in data engineering concepts. Familiarity with enterprise deployment environments and tooling. Prior project experience demonstrating end-to-end delivery: requirements to build to testing to deploy and finally to documentation.

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Company Intel

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