Data Science / Structured Problem Solving Intern - Summer 2027

NXP Semiconductors • Austin, TX

4d

About The Position

Partner with Manufacturing Quality Engineering, Fab Operations, Business Lines and support organizations to deliver continuous improvement solutions in a high-volume semiconductor wafer manufacturing environment. Work on engineering and analytical problem-solving projects under the direction of Quality and Operations Engineering to help optimize quality solutions through a 6 Sigma structured problem-solving approach. Participate in fab-to-fab standardization activities and improvements as well as external manufacturing sites in the local area. Participate in machine learning and AI projects related to quality improvements. Learn to develop logical and objective data analysis skills to establish and track metrics to meet department goals. Intern will be the owner responsible for the research, analysis, and presentation to organization leadership of one high-business impact project during their internship.

Requirements

• Working towards a Bachelor of Science or Advanced degree in an Engineering, Physics, Applied Mathematics or Computer Science discipline.
• Familiarity with Microsoft Office products (Power Point, Excel, Word, etc.).
• Strong data analysis, teamwork, and communication skills.
• Strong programming skills in R or Python are desired.
• Aptitude and desire to learn new skills.
• Ability to thrive in a multi-cultural environment.
• Must be returning to school or graduating at the conclusion of the internship term. If graduating prior to July 2027, apply to Entry Level full-time roles.

Nice To Haves

• Familiarity with Integrated Circuit Manufacturing or Design is a plus.
• Course work in advanced statistics and data science desired.

Responsibilities

• Deliver continuous improvement solutions in a high-volume semiconductor wafer manufacturing environment.
• Work on engineering and analytical problem-solving projects using a 6 Sigma structured problem-solving approach.
• Participate in fab-to-fab standardization activities and improvements.
• Participate in external manufacturing site improvements in the local area.
• Participate in machine learning and AI projects related to quality improvements.
• Develop logical and objective data analysis skills to establish and track metrics.
• Conduct research, analysis, and presentation to organization leadership of one high-business impact project.

What This Job Offers

• Career Level: Intern