The role entails integrating and optimizing on-vehicle AD systems, collaborating on diagnostics and vehicle platform integration, while conducting on-site testing.
This role will be part of the runtime team which is responsible for the entire on-vehicle AD system integration, optimization, and core feature development. In this role, you will collaborate cross-functionally to define and implement sensor & vehicle interface CAN integration, diagnostics in AutoSAR safety domain, etc. You will also be responsible for the new vehicle platform and actuators integration, develop tools and procedures for new vehicle bring-up, and regular travel to our partner's proving ground to do on-vehicle testing and validation.
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
Top Skills
Autosar
C
C++
Can
Can-Fd
Canalyzer
Canoe
Ethernet
Git
Isystem
J1939
Lauterbach
Lin
Linux
Python
Spi
Uds
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