Extracurricular Internship: Quality Engineering & Digitalization (f/m/div.)

Your contribution to something big:
Support Local Quality Engineers (LQO) in the approval and release of new products, process and engineering changes and participate in quality problem-solving activities using methodologies such as 8D, FMEA, Root Cause Analysis, and Lessons Learned;
Support product audits (Q-Test), reliability testing (Z-Test) to fulfill the annual planning, deviation management, and containment actions;
Develop and optimize dashboards, reports, and databases to enhance quality performance monitoring and decision-making;
Apply digital solutions and Artificial Intelligence tools to automate reporting activities, improve data validation processes, and strengthen decisions through the "four-eyes" principle;
Analyze manufacturing and quality data to identify trends, detect risks, and support the transition from reactive problem-solving to predictive and preventive quality management;
Contribute to continuous improvement projects focused on process efficiency, data transparency, and operational excellence.
What distinguishes you:
Master's or Bachelor's degree in Mechanical Engineering, Electromechanical Engineering, Industrial Engineering and Management, Physics Engineering, Data Analytics, or a related field;
Interest in Quality Management, Manufacturing Processes, and Continuous Improvement methodologies;
Basic understanding of problem-solving methods such as 8D, FMEA, Six Sigma, or Lean Manufacturing is a plus;
Knowledge of data analysis tools such as Excel, Power BI, Python, SQL, or AI-based solutions is highly valued;
Fluency in Portuguese and English, both written and spoken;
Strong analytical thinking and structured problem-solving approach and ability to work independently while collaborating effectively within international, multidisciplinary and multicultural teams;
Curious mindset with a willingness to challenge the status quo and continuously improve processes.

Employment type
Full-time

Work arrangement
No