About this role
Your key Responsibilities: • Develop and integrate software solutions for software-defined vehicles and automotive vehicle-control systems. • Design and prototype software architectures based on AUTOSAR Adaptive, QNX, and POSIX operating-system concepts. • Contribute to proof-of-concept activities, technical feasibility assessments, and software innovation projects. • Deliver secure, reliable, and performance-optimized automotive software in collaboration with international engineering teams. • Develop and integrate automotive software and middleware components for software-defined vehicle applications. • Design and implement software solutions using AUTOSAR Adaptive and serviceoriented architecture principles. • Develop, integrate, and debug software in QNX and POSIX-based environments. • Analyze and implement essential operating-system concepts, including process management, multithreading, memory management, scheduling, and synchronization. • Implement and troubleshoot IPC mechanisms such as message queues, shared memory, sockets, and signals. • Apply relevant operating-system security concepts, including process isolation, access control, privilege separation, and secure communication. • Develop automation scripts and engineering tools using Python and Bash. • Configure and maintain software builds using CMake. • Perform target-level debugging and trace analysis using Trace32. • Support software integration, testing, troubleshooting, and performance optimization. • Contribute to proof-of-concept development and technical feasibility assessments. • Use Microsoft Copilot and other GenAI tools effectively for coding, debugging, testing, documentation, and technical analysis. • Document and present technical results to project stakeholders and engineering teams. Your Qualifications: Bachelor’s or master’s degree in Computer Science, Electronics, Electrical Engineering, Embedded Systems, or a related discipline. Typically 5–10+ years of experience in automotive software development or embedded systems. • Strong programming skills in C++ and experience with modern software-development practices. • Hands-on experience with QNX — mandatory. • Experience with AUTOSAR Adaptive and automotive middleware. • Good understanding of POSIX-based operating systems, multithreading, memory management, and process management. • Practical knowledge of IPC mechanisms and operating-system security concepts. • Proficiency in Python and Bash scripting — mandatory. • Strong experience with CMake — mandatory. • Hands-on experience with Trace32 — mandatory. • Basic knowledge of Generative AI and efficient use of Microsoft Copilot for software engineering activities — mandatory. • Knowledge of automotive communication protocols such as SOME/IP or DDS. • Awareness of automotive software quality and safety standards, such as ISO 26262. • Strong analytical, problem-solving, communication, and teamwork skills.