Senior Embedded Software Integration Engineer

Responsibilities:

• Integrate CAN DBCs from different vehicle platforms and sensors into AUTOSAR communication stack
• Maintain and fine-tune autonomous safety features implemented within the AUTOSAR stack
• Design and implement AUTOSAR UDS and DEM (Diagnostic Event Manager) stack
• Design and Implement autonomous software diagnostics stack and DTC codes, with event-chain based reporting capability
• Support on-demand troubleshoot of vehicle and system related issues reported by external partners, internal testing / operations team, or diagnostic tools.
• Support new vehicle platform integration and bring-up activities, such as flashing and configuring of sensors and ECUs, resolving vehicle integration issues, data collection, parameter tuning, etc.
• Create and execute vehicle tests and testing plans/campaigns per internal and customer requirements.
• Execute development tests in coordination with test management and developers.
• Travel up to 50% of the time to support on-vehicle testing of embedded systems and autonomous driving stacks.
• Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
• Ensure team compliance with QMS, monitor quality, and drive process improvements.

Required Skills:

• Masters or Phd in Computer Science, Mechatronics, Electrical Engineering, or a related field.
• Proficient in C Programming
• Self-motivated and passionate about autonomous driving
• Willingness to travel and work in different environments, including on and around Class-8 commercial vehicles
• Proficient in Linux and GIT development workflow
• Knowledge of real-time operating systems and embedded software best practices, with hands-on experience in AUTOSAR
• Familiarity with embedded SW debugging tools (Lauterbach, ISystem, etc.), Vector tools (CANalyzer, CANoe, etc.)
• Clear understanding of communication protocols in automotive like CAN/CAN-FD, LIN, SPI, Ethernet, and diagnostic protocols like UDS and J1939
• Hands-on experience in DTC / UDS design and AutoSAR DEM (Diagnostic Event Manager) implementation for Autonomous / ADAS systems, including Diagnostic Event Chain implementation
• Understanding of different Level of SW testing and experience in building automation testing infrastructure
• Proven teamwork, communication, analytical, and systematic working skills

Preferred Skills:

• Familiarity with Python and C++ programming 
• Understanding of autonomous driving software stack
• Basic understanding of different sensor concepts (camera/lidar/radar/gps/imu)
• Basic understanding of hardware / electronics, familiar with vehicle harnesses
• Experience with Infineon Aurix MCU and automotive high-performance SOC embedded systems