Senior Embedded Software Integration Engineer

Plus 2
Fremont, CA
Hybrid

Who this role is best for

Geared toward candidates with advanced technical degrees and hands-on AUTOSAR experience, comfortable with on-vehicle testing and diagnostics.

Best fit for

  • Candidates with advanced technical degrees and hands-on AUTOSAR experience in automotive diagnostics
    — “Masters or Phd in Computer Science, Mechatronics, Electrical Engineering, or a related field”
  • Individuals with experience in embedded systems and vehicle integration for autonomous driving
    — “responsible for the entire on-vehicle AD system integration, optimization, and core feature development”

Things to consider

  • This role requires up to 50% travel to partner proving grounds for on-vehicle testing
    — “Travel up to 50% of the time to support on-vehicle testing of embedded systems”
  • The position involves working with commercial vehicles and vehicle harnesses
    — “familiar with vehicle harnesses”

How to stand out

  • Highlight experience with CAN communication stack integration and diagnostic protocols like UDS and J1939
    — “Integrate CAN DBCs from different vehicle platforms and sensors into AUTOSAR communication stack”
  • Demonstrate your ability to design and implement diagnostic event chains in your resume
    — “Hands-on experience in DTC / UDS design and AutoSAR DEM (Diagnostic Event Manager) implementation for Autonomous / ADAS systems”
  • Showcase your Linux and GIT expertise with specific embedded development examples
    — “Proficient in Linux and GIT development workflow”
  • Emphasize your hands-on embedded software testing infrastructure experience
    — “Understanding of different Level of SW testing and experience in building automation testing infrastructure”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • integration of CAN DBCs into AUTOSAR communication stack
  • maintenance and fine-tuning of autonomous safety features
  • design and implementation of AUTOSAR UDS and DEM stack
  • support of vehicle and system related issues
  • new vehicle platform integration and bring-up activities
Typical background
Masters or Phd in Computer Science, Mechatronics, Electrical Engineeringproficient in C Programmingknowledge of real-time operating systems and embedded software best practices

Skills & requirements

Required

C ProgrammingLinux And GIT Development WorkflowReal-time Operating SystemsEmbedded Software Best PracticesAutosarEmbedded SW Debugging ToolsCommunication Protocols In AutomotiveDTC / UDS DesignAutosar DEM ImplementationDifferent Level Of SW TestingBuilding Automation Testing InfrastructureTeamworkCommunicationAnalytical SkillsSystematic Working Skills

Preferred

PythonC++Understanding Of Autonomous Driving Software StackDifferent Sensor ConceptsHardware / ElectronicsInfineon Aurix MCUAutomotive High-performance SOC Embedded Systems

Stack & domain

C ProgrammingLinuxGITAutosarCANCan-fdLINSPIEthernetUDSJ1939DTCDiagnostic Event ManagerPythonC++Infineon Aurix MCUAutonomous Driving Software StackSensor ConceptsHardware / ElectronicsVehicle HarnessesTeamworkCommunicationAnalyticalSystematic WorkingEmbedded SoftwareAutonomous DrivingVehicle Integration

About the role

Original posting from Plus 2 via Lever

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

Source: Plus 2 careers (Lever)

Similar roles