System Integration Engineer For Automotive Applications (Italia)

System Integration Engineer For Automotive Applications (Italia)

14 ago
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Altro
|
Italia

14 ago

Altro

Italia

System Integration Engineer – Automotive Applications
Location : Modugno, Apulia
Contract Type : Full-time
Travel Availability : Yes, for short or medium-term international assignments
About the Role
We are looking for a passionate and skilled System Integration Engineer to join our team and contribute to the development of cutting‐edge cross‐domain automotive products. This role focuses on integrating hardware electronics and embedded software, with a strong emphasis on designing next‐generation software architectures for future vehicles – ranging from motorcycles to passenger cars, commercial vehicles, and off‐road applications.
Key Responsibilities
Manage and track software changes, perform impact analysis, and coordinate with function development and calibration teams.
Debug hardware and software during design, launch, and deployment phases.
Develop and optimize algorithms, potentially using model‐based methodologies for rapid prototyping.
Define, implement, and execute test cases to ensure requirement fulfillment on SiL, HiL, and target systems.




Conduct xCU system‐level testing and verification, including electrical measurements, signal integrity, and power management analysis.
Support implementation and testing of vehicle diagnostic protocols at the hardware level (e.g., UDS over CAN/FlexRay).
Qualifications
Master's degree in Mechatronics, Control, Electrical, Computer, or Telecommunications Engineering—or equivalent.
Experience in designing, configuring, and integrating in‐vehicle communication networks and diagnostic protocols (CAN, LIN, FlexRay, UDS).
Strong system‐level understanding of HW‐SW interaction in powertrain systems; experience with system modeling (SysML) is a plus.
Proficiency with hardware debugging tools (oscilloscopes, logic analyzers, multimeters) and in‐circuit emulators.
Skilled in using specialized tools (e.g., CANoe/CANalyzer, Vehicle Spy) for network analysis and performance optimization.
Ability to leverage AI‐based tools (e.g., LLMs

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