Software Engineer (SIL Infrastructure)

The client is a global technology leader delivering innovative and sustainable mobility solutions for the automotive market. The organization brings together talented engineers, technologists, and independent thinkers who work on meaningful products that shape the future of transportation. With a strong focus on innovation, quality, and sustainability, the company is driven by a clear vision of a clean and energy-efficient world. The client is continuously expanding its footprint in Europe, including a newly established Technical Center in Poland, a modern hub focusing on the development of advanced eMobility solutions playing a key role in the global transformation toward electric and hybrid vehicles. Jit Team is a Polish company with over 770 experienced experts, offering developmental projects, various benefits, and a proprietary professional development programme, actively engaging in charitable and educational activities.

• Minimum 3 years engineering experience in embedded systems, software development, or simulation
• Proficiency in C for embedded software development
• Solid understanding of embedded systems and AUTOSAR architecture
• Ability to work with version control systems (e.g. Git)
• Good communication skills in English

Nice to have:

• Experience with SYNOPSYS Silver or similar virtualization tool
• Familiarity with Simulink, plant modelling, or FMI/FMU-based simulation
• Comfort with scripting or automation tools (e.g., Python, Bash, or similar)
• Understanding of communication protocols such as CAN and LIN, including signal-level behavior (Tx/Rx)
• Exposure to AUTOSAR configuration artifacts like ARXML, A2L, and NVM definitions
• Familiarity with build systems (e.g. Make, CMake) and cross-compilation for host execution

• Develop and integrate virtual ECUs for SIL environment based on AUTOSAR architecture
• Build interfaces between the SIL environment and plant models, communication buses, and test automation tools
• Collaborate with cross-functional teams to define and execute simulation strategies
• Optimize simulation performance and fidelity for large-scale system integration
• Analyze and debug SIL infrastructure issues
• Document architecture, workflows, and usage guidelines for internal teams