Senior Embedded Software Integration Engineer
- 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.
- 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
- 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
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