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.

Embedded Software Eng.