Device Engineering Intern: DC/RF Testing & Data Analytics

Skyworks Solutions, Inc; Richardson (TX); Presencial; USD 40.000 - 68.000; Jornada completa

Descripción de la vacante

Skyworks Solutions, Inc. seeks a highly motivated engineering intern to support DC/RF test, data analysis, and process monitoring.

You will assist experienced engineers, document PCM modules, and help improve inline monitors while contributing to fabrication flow improvements. The program targets students pursuing BS/MS/PhD in engineering or related fields, with strong data analysis skills and a GPA of 3.0 or higher.

Formación

• Currently pursuing a BS, MS, or PhD in Electrical Engineering, Industrial Engineering, Computer Science, or related fields.
• Minimum 3.0 GPA.
• Strong data analysis skills (statistic based arguments).
• Proficiency with Microsoft Office (Excel, Word, PowerPoint).
• Self-starter with strong written and verbal communication skills.
• Strong organization skills and attention to detail.

Responsabilidades

• Assist experienced engineers in DC/RF test, measurement, and data analysis.
• Document existing process control modules (PCM) and their characterization focus.
• Improve monitoring of critical inline process monitors.
• Support Fab operations by maintaining and improving Yield web reports.
• Analyze and correlate test data to fabrication process.
• Develop and improve semiconductor fabrication flows and processes, in some cases.

Conocimientos

Data analysis

Microsoft Office

Communication

Attention to detail

Self-starter

Educación

BS/MS/PhD in Electrical Engineering, Industrial Engineering, Computer Science, or related fields

Herramientas

Spotfire

SharePoint

CAD

Descripción del empleo

Skyworks Solutions, Inc. seeks a highly motivated engineering intern to support DC/RF test, data analysis, and process monitoring.

You will assist experienced engineers, document PCM modules, and help improve inline monitors while contributing to fabrication flow improvements. The program targets students pursuing BS/MS/PhD in engineering or related fields, with strong data analysis skills and a GPA of 3.0 or higher.