Lead System Validation Engineer

• Validate current and new cross domain system functions and tests them with regards to system-level behavior against system-level functional and dysfunctional requirements
• Developing and implementing infotainment system integration test design and specifications. The engineer will write (automated) test cases and execute those in complex test environments (including automated xIL benches and vehicle set-ups) and/or complex systems under test
• Participates in test capability growth initiatives to implement the organization's vision and or pushes to accelerate roadmap implementation
• Applies best practices for test concepts in ADAS, infotainment, Propulsion, Brain and/or telematics projects
• Works in cross-functional teams and challenges product design from the start by systematically testing available system designs, either by testing requirement models or any implemented artefact as system under test
• Review and assess test results, develop root-cause hypothesis and communicate issues as well as solution and/or containment proposals to the system/software design responsible teams, including creation of metrics for SW quality and maturity and risk assessment to implement planned scope of work within time (sprints, PIs)
• Supports and maintains xIL (SIL/HIL/MIL) bench assets used for system integration and validation, ensuring benches reflect production-intent hardware and software architecture.
• Performs HIL bench bring-up, including wiring harness layout, ECU power distribution, sensor/actuator simulation configuration, network routing (CAN/LIN/Ethernet), and signal integrity verification.
• Leads the installation, flashing, and configuration of ECU software, bootloaders, middleware components, diagnostics services, and infotainment/ADAS application stacks on bench setups.
• Troubleshoots complex hardware-software interactions on HIL benches, including power issues, network misconfigurations, signal mapping mismatches, timing conflicts, and test automation toolchain failures.
• Maintains bench lifecycle activities such as component updates, hardware replacements, calibration of simulation components, continuous health monitoring, and alignment with current E/E architecture releases.
• Works closely with system architects to ensure HIL benches correctly simulate mixed-domain interactions across infotainment, connectivity, ADAS, propulsion, and body systems.
• Develops and executes validation concepts that integrate physical ECUs, virtualized components, sensor models, and backend connectivity through the HIL test environment.
• Ensures that bench environments support automated execution of regression, integration, exploratory, and stress tests for multiple domains and project lines.

Basic Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• Minimum of 8 years of experience in cross domain and sub-systems engineering, ADAS, Infotainment, telematics, and/or OTA topologies
• Good technical knowledge of E/E architecture and vehicle networks, their functions and features
• Good understanding of automotive testing standards for distributed systems
• Basic knowledge of agile test methods and test automation
• Experience with complex test environments
• Hands-on experience configuring, wiring, and maintaining xIL/HIL benches for system-level testing in infotainment, telematics, ADAS, or cross-domain vehicle systems.
• Strong ability to interpret wiring diagrams, electrical schematics, bench harness layouts, and ECU interconnection topology.
• Experience setting up bench infrastructure including power supplies, load boxes, communication buses, network switches, simulation hardware, and measurement equipment.
• Skilled in flashing ECUs, updating firmware, configuring boot sequences, resetting domain controllers, and validating basic ECU readiness on bench setups.
• Practical experience debugging hardware-software integration issues related to power management, network communication, timing, signal mapping, and simulation interface errors.
• Familiarity with creating and maintaining bench health reports, configuration documentation, bench calibration data, and long-term hardware lifecycle plans.
• Experience using bench toolchains such as dSpace, Vector VT System, NI LabVIEW/VeriStand, CANoe, ETAS LABCAR, or equivalent simulation ecosystems.
• Understanding of virtualization and containerized components as part of mixed physical-virtual HIL architectures.

Preferred Qualifications:

• Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• Foundational experience with Agile, Scrum and DFSS Methodologies
• Experience testing in multiple development contexts (Linux, QNX, AUTOSAR, Android)
• Experience with IoT protocols and standards (MQTT, etc.), remote diagnostics, interfaces to backend eco-systems
• Launch Experience with infotainment and telematics systems
• Experience with methods such as Scrum, SAFe, TDD
• Experience with continuous integration, testing & deployment