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NEXTMOVEFDE careers · United States

Senior Software Engineer, Embedded Software

AI summary of the role

Senior embedded software engineer on the runtime team responsible for on-vehicle autonomous driving system integration, optimization, and core feature development.

What you’ll do

  • Integrate CAN DBCs from various vehicle platforms and sensors into AUTOSAR communication stack
  • Design and implement AUTOSAR UDS and DEM (Diagnostic Event Manager) stack, including DTC codes and event-chain reporting
  • Support new vehicle platform integration and bring-up, including flashing/configuring sensors and ECUs
  • Create and execute vehicle tests and testing plans per internal and customer requirements

What you’ll bring

  • Masters or PhD in CS, Mechatronics, EE, or related field
  • Proficient in C programming
  • Hands-on experience with AUTOSAR and real-time operating systems
  • Experience with DTC/UDS design and AUTOSAR DEM implementation for Autonomous/ADAS systems

Technologies

AUTOSAR · CAN · CAN-FD · UDS · DEM · DTC · J1939 · C · Linux · Lauterbach · CANalyzer · CANoe

About Plus AI

AI-powered Level 4 autonomous driving software (SuperDrive) for commercial long-haul trucks; integrated development platform (HyperFoundry) for OEM integration.

Growth

Source and classification

Production engineering · Evidence for this classification:

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
More from the job description

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 req [... source excerpt omitted ...] 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 Knowle

How jobs are selected

Employer postings · Data from · Sources