Wafer Yield & Data Analytics Intern

Navitas Semiconductor Usa; Torrance (CA); On-site; USD 34,000 - 55,000; Part time

Benefits offered by this job

Mentorship

Hands-on data work

Resume-ready experience

Job summary

Navitas Semiconductor Usa in Torrance, CA is offering an Electrical/Data internship focused on wafer lot data and yield analysis. You will learn how manufacturing data is collected, organized, and analyzed under engineering mentorship.

You'll gain hands-on experience with Excel, basic statistics, and introductory SQL/Python, contributing to simple charts and dashboards while building a data-oriented foundation for semiconductor manufacturing careers.

Qualifications

• Currently pursuing a Bachelor's degree in a technical field.
• Comfortable with Excel and basic statistics.
• Strong attention to detail and organization.

Responsibilities

• Help collect wafer lot data from internal reports, foundry files and test outputs.
• Track build status for critical lots for visibility and timely execution.
• Assist in organizing data into clear spreadsheets or files.
• Help calculate and summarize basic wafer- and part-level yield numbers under guidance.
• Support building and maintaining a simple database or master spreadsheet of lot data.

Skills

Excel

Statistics basics

Attention to detail

Communication skills

Eagerness to learn

Education

Bachelor's in Electrical Engineering or related

Tools

SQL

Python

Job description

Job Details: Job Location: Torrance, CA 90503, Position Type: Internship, Salary Range: $25.00 - $40.00 Hourly, Job Purpose

Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader driving innovation in gallium nitride (GaN) and high-voltage silicon carbide (SiC) technologies. Our products enable faster, more efficient power delivery across AI data centers, high-performance computing, energy and grid infrastructure, electric mobility, and industrial applications.

Key Responsibilities and Duties

• 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.

Qualifications: Required Qualifications

• 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.

Preferred Qualifications

• 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.

What We Offer

• 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.

Compensation

$25-$40 Dependent on experience