Teams at Autoliv

Develop, program, and optimize PLC-based automation and vision systems to improve process reliability, reduce scrap, and support new projects. Manage supplier integration, implement innovations, maintain process parameters and documentation, participate in PFMEA, and support industrial start-ups and continuous improvement activities.

Design, develop, and deploy industrial digital solutions: collect and model SCADA/MES data, build data pipelines and databases, create ASP.NET Core applications and Power BI dashboards, integrate IoT and industrial equipment, deploy AI agents (Copilot Studio), and lead digitalization projects with Production, Maintenance, Quality, and IT teams.

Trainee quality engineer responsible for reducing workshop scrap through root-cause analysis (8D), defining KPIs, automating statistical analyses, conducting line audits, creating out-of-line inspection controls, training operators, and monitoring corrective action effectiveness.