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Software Engineer

2 months ago

Dearborn, Michigan, United States Tech M USAAvance Consulting Full time
Job Description

We are seeking a highly skilled Diagnostics Software Engineer to join our team at Tech M USAAvance Consulting. As a key member of our team, you will be responsible for designing, developing, and integrating the C/C++ software platform diagnostics SW to be used in Ford's next-generation ADAS systems.

Key Responsibilities:
  • Design and develop the Fault Management Framework to handle failure management of ADAS modules in multi-core/multiprocessor systems.
  • Work on Fault Management SW development on ARM A72 core, including Native QNX and Adaptive Autosar.
  • Develop and use interfaces to supplier and internal stakeholder developed SW.
  • Interface with IPC to cascade data between different domains.
  • Collaborate with internal and external stakeholders to align on technical details, debug issues, and understand design details.
Requirements:
  • 3+ years of experience in embedded software development using RTOS (i.e. AUTOSAR/OSEK, LINUX/QNX/POSIX).
  • 3+ years of experience in a technical Diagnostics software developer position.
  • 5+ years of experience in software development using C/C++.
  • Experience with object-oriented, modular design.
  • Experience with POSIX-based embedded applications.
  • 5+ years of experience with Linux and/or QNX operating systems.
  • Experience designing and testing systems for high-performance, high-reliability computing applications.
  • Understanding of Adaptive AUTOSAR and Classic AUTOSAR.
  • Understanding of diagnostics architectures within the in-vehicle automotive domain (utilization of DID's, DTC's, etc.).
  • Experience developing software that meets Functional Safety requirements.
  • Knowledge of Agile software development methodologies.
  • Experience with embedded RTOS(s).
  • Experience with code optimization.
  • Proficient in scripting languages, such as bash and Python.
  • Knowledge of SPI, Ethernet, and CAN communication.
  • Familiarity with sensor modalities used in robotics and autonomous driving applications (Camera/Vision, RADAR, LIDAR, INS/IMU).
  • Experience with diagnostic protocols ISO and ISO.
  • Experience with Autosar Classic Diagnostic stack (DEM, DCM, NVM, DoIP, PDUR).
  • Experience with Autosar Classic development tool chain (CANDella, DaVinci Configurator/Developer, CANoe, vVirtualTarget).
  • Familiarity with Autosar Adaptive Diagnostic stack (DM, DoIP).