General Motors ADAS/ AV Software Robustness/Validation Engineer - ENG0039065 in Milford, Michigan

The ADAS (Advanced Driver Assistance Systems) Engineer/Autonomous Vehicle (AV) Software Robustness/Validation Engineer will lead the integration, maintenance and simulation activities for multiple model based software features. Responsible for the configuration and maintenance of the software integration tool chain, providing release packages to internal customers, works closely with software designers and others to resolve integration and build issues and consults with engineering departments on software integration issues. Consults with supervisor and peers as required.

Major Duties/Responsibilities:

  • Communicates, coordinates, and consults with engineering departments and customers on software build issues.
  • Lead software integration activities in Matlab, Simulink, and CarSim.
  • Define, uplift and maintain the software integration toolchain, desk benches and HILs.
  • Works closely with Research and Development, software developers, validation engineers, HMI engineers, network engineers and suppliers to integrate features into the latest build.
  • Report issues to stakeholders and keep track of change requests and work item versions.
  • Provide validation reports to the Feature Validation Engineer.
  • Work on innovative solutions for testing.

Required Skills/Experience:

  • Bachelor’s degree in Systems Engineering, Automotive Engineering, Electrical Engineering, Computer Science, Mechanical Engineering, Computer Engineering, Embedded Systems
  • 5+ years of demonstrated technical knowledge and ability in relevant engineering disciplines (e.g. Software, Vehicle Dynamics, Active Safety, Control Theory)
  • Experience with and/or knowledge of relevant tools (e.g. Matlab, Simulink, Rhapsody, IBM Change Synergy, dSpace, ETAS, and IBM Rational Team Concert)
  • Experience developing in ANSI C language
  • Experience developing in scripting languages (M-scripts, Python, Windows Batch)

Preferred Skills/Experience:

  • Master’s degree in an engineering discipline
  • DFSS Black Belt
  • Understanding of major automotive subsystems