[July Onwards Intake] Internship - Packaging Engineering

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.

SKILLS:

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

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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