Junior software developer állások Németországban (minőségbiztosítási mérnök)

Following up on production-related nonconformities, supporting root cause analyses, defining and monitoring corrective actions, and preparing evaluations and statistics of nonconformities...

• Ensure each site supports effective CAPA implementation and continuous improvement.
• Lead the CAPA Review Board to drive alignment with quality goals and expectations across the organization.

• Driving supplier performance improvement through root cause analysis, corrective action and supplier performance reviews;
• Ensure compliance with the European Medical Device Directive and associated regulations;

• Guiding and supporting your team by overcoming roadblocks and exceeding expectations
• Ensuring appropriate staffing for all active Simultaneous Development Teams (SDTs) in collaboration with Program Management and Quality leadership

• Review customer specifications and legal/statutory requirements, ensuring compliance with Voith Hydro standards and EQM guidelines.
• Prepare and issue project-specific Quality Plans and documentation (e.g., Inspection & Test Plans, QS, MGS).

• Lead the development and consistent application of technical risk management processes (FMEA: DFMEA, SFMEA, PFMEA) across all project phases.
• Drive digitalization of risk management through tools like cloud-based FMEA platforms, dashboards, and automated tracking systems.

• Develop and maintain automated tests: automate when it makes sense, think about ROI, don't overengineer solutions.
• Own the testing and quality processes of the team
• Improve the development process
• Lead the QAs of the hardware development unit
• Maintain and improve the testing infrastructure

Project & Process Quality Assurance: You define and implement quality assurance strategies across the entire product lifecycle - from suppliers and development to serial production....

• Defining, implementing, and continuously improving the overall testing and quality assurance strategy
• Establishing and maintaining quality KPIs, reporting structures, and governance models
• Driving data-driven quality improvements using statistical methods and analytical insights