Mercedes-Benz

MB.OS System Integration Engineer MB.OS 系统集成工程师

Show

Objective of Job

  • Design mule car of electrical and electronic architecture (ADAS + Infotainment) for development
  • Integrate and configure the MBOS(ADAS + Infotainment) system into various testing vehicles
  • Ensure all the testing vehicles reach testing ready status according to different testing requirement
  • Further develop the tools and methods for MB.OS system integration
  • System problem analysis and technical decision-making

Task Description

1. Define concept & build-up of testing vehicle including mule car with MB.OS system\:

  • Define vehicle concept to integrate in-house developed or 3rd party AD & TI system incl. HW & SW
  • Integrate AD & TI system into MB vehicles considering power supply, cooling, packaging & operational safety
  • Set up EE communication between AD & TI system and vehicle
  • Work together with external tech companies & internal RD workshop

2. Preparation of AD & TI system in different vehicle models and system\:

  • Plan and conduct the system integration and configuration
  • Ensure all testing car shall reach testing ready status
  • Support external engineer to ensure the task timeline and quality
  • Interface to MB workshop
  • Technical support of testing vehicle preparation

3. Overall vehicle EE system integration and know how build up\:

  • Build up overall vehicle EE system integration know how in company
  • Train service provider regarding system integration
  • Support POC project regarding EE system integration

4. Further develop the tools and methods for MB.OS system integration\:

  • Design, develop and optimize suitable measurement tools into testing vehicle to support MB.OS development
  • Design and develop other system integration tools to support system integration activities.

5. EE System problem analysis and technical decision-making\:

  • Participate in vehicle-level EE problem analysis, including communication anomalies, power supply issues, system conflicts, performance bottlenecks, etc.
  • Provide architecture-level judgments and recommendations for key technical decisions related to autonomous driving and intelligent cockpits.
  • Supports vehicle integration, EE upgrades, system bring-up, and system-level validation phases.