We are seeking a skilled and detail-oriented Automotive Base Software Validation Engineer to ensure the robustness, reliability, and compliance of base software (BSW) used in embedded ECUs across propulsion and vehicle platforms. This role involves planning, developing, and executing validation test strategies focused on the AUTOSAR-compliant software layers, including MCAL, services, OS, and diagnostic stack.

Key Responsibilities:

Develop test plans, test cases, and validation strategies for Base Software modules including MCAL, OS, Communication stack (CAN, LIN, Ethernet), Diagnostics (UDS), and Complex Device Drivers. Execute manual and automated test cases on benches, Hardware-in-the-Loop (HiL), or Software-in-the-Loop (SiL) environments to validate BSW features and performance. Support BSW integration and validation in multi-ECU and domain controller architectures. Analyze test results, investigate issues, and perform root cause analysis in coordination with software developers and system engineers. Ensure compliance with automotive software standards such as AUTOSAR, ISO 26262, ASPICE, and OEM-specific validation guidelines. Utilize debugging tools (Lauterbach, CANoe, Vector tools) and logging frameworks to capture and analyze system behavior. Participate in continuous improvement of validation frameworks and develop reusable test scripts using Python, CAPL, or other scripting languages. Collaborate with cross-functional teams (SW Integration, Systems Engineering, Functional Safety, and Vehicle Validation) to align validation scope with program milestones. Contribute to the creation and maintenance of traceability matrices from requirements to test cases.

Basic Qualifications:

Bachelor's Degree in Electrical, Mechanical, or Computer Engineering or related degree field Minimum of 3 years of experience in embedded software validation, preferably in the automotive domain. Strong understanding of AUTOSAR architecture, base software modules, and embedded software development lifecycle. Hands-on experience with validation tools: Vector CANoe, Lauterbach, INCA, etc. Proficiency in Python, CAPL, or other scripting languages for test automation. Familiarity with diagnostic protocols (UDS), communication protocols (CAN, LIN, Ethernet), and safety concepts (ISO 26262). Strong analytical and debugging skills with experience in embedded systems.

Preferred Qualifications:

Masters's Degree in Electrical, Mechanical, or Computer Engineering or related degree field Experience with AUTOSAR toolchains (Vector DaVinci, ETAS ISOLAR). Exposure to Continuous Integration / Continuous Testing (CI/CT) pipelines. Knowledge of Agile and ASPICE development processes. Experience with Model-Based Design and validation using MATLAB/Simulink.