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After-market quality test engineer (m/f/d)

Raunheim
Da Vinci Engineering GmbH
Ingenieur
Inserat online seit: 11 Juni
Beschreibung

Your tasks: Own the end-to-end investigation of after-market quality issues across company projects, including company brand vehicles, Volvo EX30, and Polestar 4 & 5, utilizing the JIRA issue management system and providing regular status reporting to key stakeholders Lead the investigation of software and hardware-related quality concerns raised by Aftersales teams, translating customer complaints and vehicle symptoms into structured test plans, clear problem definitions, and actionable technical findings for R&D teams Serve as the primary technical interface between Aftersales, vehicle plant quality teams, suppliers, and engineering organizations, ensuring efficient communication and timely issue resolution Perform root-cause analysis through independent evaluation of vehicle data, logs, warranty returns, and test results, collaborating with global teams and suppliers when required Perform root-cause analysis through independent evaluation of vehicle data, logs, warranty returns, and test results, collaborating with global teams and suppliers when required Analyze failed warranty parts to validate failure modes, identify root causes, and support corrective actions Coordinate logistics and handling of incoming warranty parts to ensure efficient analysis, processing, and disposition Contribute to continuous improvement by developing technical knowledge databases, enhancing investigation methodologies, and identifying opportunities for product and process improvements Deliver performance in line with agreed KPIs and quality objectives Your profile: Proven experience in whole-vehicle testing within one or more of the following domains: Infotainment & Connectivity, ADAS, Electrical & Electronic (E/E) Systems, Chassis, Propulsion, Vehicle Engineering Experience performing root-cause investigations and structured problem-solving using methodologies such as 8D, Six Sigma, or equivalent Advanced experience with Vector tools, including CANoe and CANape, strong knowledge of CAN and FlexRay communication, logging methodologies, and data analysis Experience with ADAS systems and diagnostics Knowledge of DSA tools and methodologies Experience with Python programming and/or Power BI Experience performing root-cause investigations and structured problem-solving using methodologies such as 8D, Six Sigma, or equivalent Fluency in English, Chinese is a plus Valid Class B driver`s license Persönliche Anforderungen und Sozialkompetenzen You can expect Experience in exciting and international projects Continuous salary development Da Vinci Corporate Benefits On-the-job training and language courses Appreciation, motivation and commitment

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