Summary Description : Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Quality Engineering Intern to take on a critical role to enhance our Quality team. As a Quality Engineering Intern , you will gain hands-on experience in semiconductor quality systems, data analytics, and continuous improvement.
You will collaborate with engineering and operations teams to analyze product and manufacturing data, develop AI-assisted tools and workflows, improve customer requirement management systems, and support initiatives that drive product quality, reliability, and operational excellence. What You'll Learn:
- Semiconductor manufacturing and quality systems.
- Statistical process control and data analytics.
- AI-assisted engineering workflows.
- Product and manufacturing quality improvement methodologies.
- Cross-functional collaboration between engineering, operations, and quality teams.
- Real-world application of data-driven decision making.
Specific Duties and
Responsibilities :
- Assist in the creation, maintenance, and analysis of product and component parametric databases to support engineering and quality initiatives.
- Perform data analysis and statistical evaluations to identify trends, process improvements, and opportunities for quality enhancement.
- Assist in developing scripts, dashboards, and AI-assisted tools to improve engineering productivity and operational efficiency.
- Support continuous improvement initiatives related to manufacturing quality, process capability, and customer satisfaction.
- Improve and maintain customer requirement databases, engineering records, and quality documentation systems.
- Organize and maintain Office 365 SharePoint document management and data-sharing portals.
- Support quality metrics reporting, management reviews, and special projects as assigned.
Qualifications, Education, and Experience Required:
- Undergraduate student pursuing a degree in Engineering, Physics, Chemistry, Computer Science, Data Science, Statistics, Mathematics, or related technical disciplines.
- Familiarity with statistical analysis techniques and data interpretation.
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication skills.
- Proficiency in Microsoft Excel, Word, and PowerPoint.
- Interest in semiconductor technology, electronics manufacturing, quality systems, or data analytics.
- Experience with Python, JMP, SQL, Power BI, Tableau, or similar analytical tools is preferred.
- Experience with AI tools, automation, or scripting is highly desirable.