Wafer Yield & Data Analytics Intern

Navitas Semiconductor is a power semiconductor company developing gallium nitride and silicon carbide technologies. The Wafer Yield & Data Analytics Intern will support Device and Product Engineering by collecting, organizing, tracking, and analyzing wafer lot data, maintaining data records, and preparing basic yield trend summaries under guidance.

What you'll do:

• Help collect wafer lot data from existing internal reports, foundry files, and test outputs
• Track build status for critical lots for clear visibility and timely execution
• Assist in organizing this data into clear, consistent spreadsheets or files
• Help calculate and summarize basic wafer- and part-level yield numbers under the guidance of the engineering team
• Support the team in building and keeping up a simple database or master spreadsheet of lot data (wafer and part level)
• Enter new lot data into the database/spreadsheet as it becomes available, and help spot obvious errors or gaps
• Help put together simple charts or summaries so the team can see yield trends at a glance
• Assist with other data-related tasks and requests from Device, Product, and Test Engineering as needed

What they're looking for:

• Currently pursuing a Bachelor's degree in Electrical Engineering, Industrial Engineering, Data Science, Materials Science, or a related technical field
• Comfortable working in Excel (basic formulas, sorting/filtering, simple charts)
• Comfortable working with numbers and organized data; basic understanding of statistics is a plus
• Strong attention to detail and good organizational habits
• Good communication skills and eagerness to learn
• Some exposure to SQL, Python, or similar tools (not required — willingness to learn is enough)
• Coursework or interest in semiconductor devices or manufacturing
• Any prior class project, internship, or club experience involving data analysis

Benefits:

• Hands-on exposure to real wafer lot and yield data behind next-generation GaN and SiC power semiconductor products.
• Guidance and mentorship from the Device and Product Engineering team.
• A supportive, collaborative environment for learning how a semiconductor company tracks and uses manufacturing data.
• Practical, resume-ready experience with data organization and basic yield analysis.