Job Title

Short DescriptionWe are looking for a highly experienced and technically driven Principal Engineer to lead integration-level Software-in-the-Loop (SiL) testing for next-generation automotive embedded systems. This role demands deep technical expertise in ECU virtualization, embedded integration practices, and strong domain-level exposure across areas like Powertrain, ePowertrain, or ADAS.The ideal candidate will bring a solution-focused mindset, strong analytical skills, and a hands-on approach to building robust and scalable SiL environments. You will work at the intersection of embedded software, virtualization, and domain-level functionality, contributing directly to our left-shift testing strategy and enabling future-ready SDV (Software-Defined Vehicle) test frameworks.DescriptionSystem-Level Integration & SiL Environment Setup- Architect and implement SiL-based test environments integrating multiple ECUs in a virtual setup using tools like dSPACE VEOS or equivalent. - Simulate full system behaviour through integration of functional models, bus systems (CAN, LIN, Ethernet), and domain control software.ECU Virtualization & Communication Bus Simulation- Lead virtualization of ECUs and configuration of network communication buses, enabling early system-level validation in SiL. - Configure FMUs, models, and simulation artifacts to replicate target ECU behavior with high fidelity.Embedded Software Interface Understanding- Leverage deep experience with Embedded C++ to interface with AUTOSAR components, middleware layers, and communication services. - Apply functional understanding of AUTOSAR interfaces and execution models to enable testability within the SiL context. - Strong architectural awareness to facilitate simulation wrapping, data interfacing, and debugging in embedded contexts.Domain Integration and Functional Awareness- Apply working knowledge of at least one automotive domain such as ePowertrain, ADAS, or Powertrain to validate functional integration. - Collaborate with feature and domain teams to translate integration scenarios into testable simulation workflows.Problem Solving & Debugging- Drive resolution of complex integration and simulation issues across system layers using protocol analysis, timing insights, and model verification. - Lead troubleshooting efforts with structured analytical thinking and cross-functional engagement.Collaboration & Innovation in SDV Context- Contribute to test strategy alignment with Software-Defined Vehicle (SDV) goals including service orientation, containerization, and cloud connectivity. - Collaborate with architecture and infrastructure teams to enhance virtualization capabilities and scalable test frameworks.ResponsibilitiesRequired Skills and Qualifications:- Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Computer Science, or related fields. - Total 7-13 years of experience - 6.5+ years of experience in embedded systems, ECU integration, or system-level testing in the automotive industry.Proficient in:- Embedded C++, with application in embedded integration and simulation environments. - ECU virtualization techniques and simulation-based testing. - Automotive network protocols: CAN, LIN, Ethernet (incl. TCP/IP/IPV4). - Strong hands-on experience with dSPACE toolchains (SystemDesk, VEOS) or similar simulation platforms. - Proven ability to integrate complex embedded functions and lead root-cause analysis across simulation layers. - Clear exposure to microcontroller and microprocessor architecture, and understanding of real-time constraints.QualificationsPreferred Skills and Added Advantages:- Exposure to both Classic AUTOSAR and Adaptive AUTOSAR architectures with ability to interface, configure, and integrate modules within the virtualization setup. - Familiarity with OSEK and POSIX operating system standards for embedded real-time environments. - Domain expertise in at least one functional area such as eDrive, Charging, ADAS perception/control, or Vehicle Dynamics. - Experience with FMU creation, MiL to SiL transition, or HiL-SiL test alignment strategies. - Awareness of SDV-related trends including service-based architecture, containerization, and scalable validation approaches. - Comfort with using tools like Git, JIRA, Python scripting for automation/integration purposes.