Project description
The role focuses on the coordination and execution of test, validation, and data-driven stability analysis for automotive software systems within complex vehicle platforms.
A strong emphasis lies on fleet-based data analysis, trace-based communication analysis, and long-term stability evaluation across large fleets of vehicles.
The position acts as a central interface between software development, validation, data analytics, and program management, enabling data-driven decisions and continuous software quality improvement across vehicle generations.
Responsibilities
- - Plan, coordinate, and track software test and validation activities on system and vehicle level
- Analyze large-scale fleet vehicle data to identify stability issues, regressions, and system anomalies
- Evaluate data logger outputs and recorded vehicle data from test fleets and field vehicles
- Perform trace analyses for Ethernet-based in-vehicle communication to detect timing, performance, and communication issues
- Support stability analyses across large vehicle fleets using aggregated operational data
- Define, monitor, and report KPIs related to software quality, stability, and fleet performance
- Drive defect analysis, root cause investigations, and corrective actions based on real vehicle data
- Coordinate with development, validation, data analytics, and program management stakeholders
- Support continuous improvement of test, validation, and data analysis processes
- Lead small technical teams and coordinate internal and external partners
SKILLS
Must have
- Automotive & Software Validation
- Automotive software development and validation experience
- System- and vehicle-level test and validation processes
- Strong understanding of ECU-based vehicle architectures
Fleet Data & Data Analysis
- Analysis of large volumes of fleet vehicle data
- Experience working with vehicle data loggers and logging concepts
- Ability to derive stability and quality insights from operational vehicle data
Trace & Communication Analysis
- Experience in trace analysis for Ethernet-based vehicle communication
- Understanding of in-vehicle communication flows and timing behavior
- Experience analyzing communication issues using recorded trace data
Project & Process Skills
- Planning, tracking, and reporting of complex technical processes
- KPI definition, monitoring, and management reporting
- Structured defect management and root cause analysis
- Several years of experience in automotive software projects, preferably in validation, system testing, or data-driven roles
- Knowledge of vehicle bus systems and protocols (e.g. Ethernet, CAN, LIN)
- Understanding of connectivity, infotainment, or telematics systems
- Proven experience in technical project coordination or leadership
- Strong analytical background with focus on fleet vehicle data evaluation
- Hands-on experience with Ethernet trace analysis in automotive environments
- Experience with automated test execution or data-driven validation approaches
- Experience working with data logger technologies and large datasets
- Knowledge of methods to perform long-term stability analyses across vehicle fleets
- Excellent problem-solving and analytical skills
- Professional customer-facing communication and the ability to confidently represent technical topics and project status towards customers and external stakeholders
- Ability to work reliably under pressure and manage priorities in challenging and time-critical project phases
- Very good written and verbal communication skills in English
Nice to have
- Knowledge of Automotive SPICE processes
- Basic programming or scripting skills (e.g. Python, MATLAB)
- Experience with agile development frameworks (SCRUM, SAFe)
Industry & Domain Knowledge (Required)
- Experience working within Volkswagen Group and/or CARIAD environments, including
- Vehicle software development landscapes
- OEM-level validation and release processes
- Large-scale fleet and field data evaluation