Quality Engineering Intern: AI-Powered QC & Data Analytics

Syntiant; Itasca (IL); On-site; USD 28,000 - 41,000; Full time

Job summary

Syntiant Corp., a leader in AI software and semiconductor solutions, is seeking a Quality Engineering Intern to join the Quality team and gain hands-on experience in semiconductor quality systems, data analytics, and continuous improvement.

You will collaborate with engineering and operations to analyze product data, develop AI-assisted tools, and support initiatives that drive product quality, reliability, and operational excellence.

Qualifications

• Pursuing a relevant technical degree (Engineering, Physics, Chemistry, CS, Data Science, Statistics, Mathematics).
• Familiarity with statistical analysis techniques and data interpretation.
• Proficiency in MS Excel; excellent written and verbal communication.
• Experience with Python, JMP, SQL, Power BI, Tableau or similar tools preferred.

Responsibilities

• Assist in creating, maintaining, and analyzing product and component parametric databases.
• Perform data analysis and statistical evaluations to identify trends and improvements.
• Develop scripts, dashboards, and AI-assisted tools for productivity gains.
• Support continuous improvement of manufacturing quality and customer satisfaction.
• Maintain customer requirement databases, engineering records, and quality docs.
• Organize and maintain Office 365 SharePoint document management and data sharing.

Skills

Statistical analysis

Data interpretation

Analytical thinking

Communication

Python

Power BI

SQL

Tableau

AI tools

Education

Undergraduate student pursuing Engineering/CS/DS/Statistics

Tools

Python

JMP

SQL

Power BI

Tableau

Job description

Syntiant Corp., a leader in AI software and semiconductor solutions, is seeking a Quality Engineering Intern to join the Quality team and gain hands-on experience in semiconductor quality systems, data analytics, and continuous improvement.

You will collaborate with engineering and operations to analyze product data, develop AI-assisted tools, and support initiatives that drive product quality, reliability, and operational excellence.