Automotive Network Engineer (AuNeEn1)
Auburn Hills, MI
Contracted
Entry Level
Job Summary:
We are seeking a Network Engineer with expertise in automotive communication protocols including CAN (Controller Area Network), LIN (Local Interconnect Network), and Automotive Ethernet. The ideal candidate will work on the design, development, validation, and troubleshooting of in-vehicle network systems for electronic control units (ECUs) in automotive and electrical domains.
Key Responsibilities:
Design and implement in-vehicle communication networks using CAN, LIN, and Ethernet protocols.
Analyze and optimize ECU communication matrices (DBC, LDF, ARXML files).
Perform signal-level testing and diagnostics using tools like CANoe, CANalyzer, or Vector tools.
Collaborate with hardware/software teams to ensure end-to-end communication and system integration.
Configure and validate communication stacks (e.g., AUTOSAR ComStack, LIN stack).
Debug and resolve communication-related issues during development and vehicle testing.
Develop and execute test cases for network performance, latency, and fault tolerance.
Interpret and analyze network traces and logs to validate protocol compliance and data integrity.
Required Skills and Qualifications:
Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Automotive Engineering, or a related field.
2+ years of experience in automotive communication networks.
Strong hands-on experience with CAN, LIN, and Ethernet communication.
Proficiency in tools such as CANoe, CANalyzer, Wireshark, INCA, or similar.
Working knowledge of communication protocols like UDS, DoIP, SOME/IP, TCP/IP.
Familiar with AUTOSAR architecture and ECU development life cycle.
Experience with diagnostics, flashing, and calibration tools.
Ability to read and interpret DBC, LDF, and FIBEX files.
Preferred Qualifications:
Exposure to functional safety (ISO 26262) or cybersecurity (ISO/SAE 21434) is a plus.
Experience in simulation, HIL testing, or vehicle validation.
Knowledge of scripting (CAPL, Python, or MATLAB/Simulink).
Soft Skills:
Strong problem-solving and debugging skills.
Excellent communication and team collaboration abilities.
Attention to detail and ability to work under minimal supervision.
We are seeking a Network Engineer with expertise in automotive communication protocols including CAN (Controller Area Network), LIN (Local Interconnect Network), and Automotive Ethernet. The ideal candidate will work on the design, development, validation, and troubleshooting of in-vehicle network systems for electronic control units (ECUs) in automotive and electrical domains.
Key Responsibilities:
Design and implement in-vehicle communication networks using CAN, LIN, and Ethernet protocols.
Analyze and optimize ECU communication matrices (DBC, LDF, ARXML files).
Perform signal-level testing and diagnostics using tools like CANoe, CANalyzer, or Vector tools.
Collaborate with hardware/software teams to ensure end-to-end communication and system integration.
Configure and validate communication stacks (e.g., AUTOSAR ComStack, LIN stack).
Debug and resolve communication-related issues during development and vehicle testing.
Develop and execute test cases for network performance, latency, and fault tolerance.
Interpret and analyze network traces and logs to validate protocol compliance and data integrity.
Required Skills and Qualifications:
Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Automotive Engineering, or a related field.
2+ years of experience in automotive communication networks.
Strong hands-on experience with CAN, LIN, and Ethernet communication.
Proficiency in tools such as CANoe, CANalyzer, Wireshark, INCA, or similar.
Working knowledge of communication protocols like UDS, DoIP, SOME/IP, TCP/IP.
Familiar with AUTOSAR architecture and ECU development life cycle.
Experience with diagnostics, flashing, and calibration tools.
Ability to read and interpret DBC, LDF, and FIBEX files.
Preferred Qualifications:
Exposure to functional safety (ISO 26262) or cybersecurity (ISO/SAE 21434) is a plus.
Experience in simulation, HIL testing, or vehicle validation.
Knowledge of scripting (CAPL, Python, or MATLAB/Simulink).
Soft Skills:
Strong problem-solving and debugging skills.
Excellent communication and team collaboration abilities.
Attention to detail and ability to work under minimal supervision.
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