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

Other

Languages

English: B2 Upper Intermediate,German: C1 Advanced

Seniority

Regular

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