DAT2.X AEB Software Integration Engineer
Lead overall feature model integration and support development of test methods for Pre-Collision Assist / Automatic Emergency Braking features within Ford’s ADAS team.
- Dearborn, Michigan, United States
- Full-time
- Hybrid
- $85K–$134K per year
- Posted Nov 9, 2026
INDUSTRYManufacturing & ProductionProduction & Assembly
Responsibilities
- Lead overall feature model integration with other feature models according to the ADAS ECU software schedule
- Support model peer reviews of existing, modified and future feature model
- Support resolution of model integration compatibility issues with the larger feature model team or with the coding team
- Interface with the module teams that make up the overall distributed feature to ensure system level function and requirements are met
- Lead/Support development of test methods to evaluate true positive, false positive and real-world performance criteria
- Determine acceptance criteria for design verification methods
- Lead core development and support sign-off of feature level performance for a given vehicle
- Root cause feature issues found in development / sign-off
- Utilize rapid prototyping methods such as MABx / dSPACE
- Compile Simulink models to flash in MABx and utilize ControlDesk to monitor internal feature function and signals
- Operate and utilize Active Safety test rigs such as robotic platforms for surrogate collision targets and host vehicle robots
- Assist with feature calibration to support overall performance requirements
- Lead the development of Matlab scripts/tools/GUIs used in prost processing and analyzing feature performance
- Work with the Ford Hardware in the Loop Team and Simulation team to establish CAE procedures to reduce dependencies on vehicle level testing
- Root cause feature level, systems and interface issues in feature development and sign-off
- Lead data analytics studies and collaborate with Data Ops team to acquire feature specific information from connected vehicle data
- Develop dashboards with findings
- Analyze data for trends and develop opportunities for feature enhancements with core feature engineers
Requirements
- Bachelor’s Degree in Electrical Engineering
- Bachelor’s Degree in Mechanical Engineering
- Bachelor’s Degree in Aerospace Engineering
- Bachelor’s Degree in Controls Engineering
- Bachelor’s Degree in Software Engineering
- Master’s Degree in Electrical Engineering
- Master’s Degree in Mechanical Engineering
- Master’s Degree in Aerospace Engineering
- Master’s Degree in Controls Engineering
- Master’s Degree in Software Engineering
- Experience in a active safety systems
- Experience in a automotive engineering
Nice to have: Master’s Degree, radar image processing, vision sensor performance modeling, ultrasonic sensor performance modeling, specification writing, SDS, FMEA, DVP, DVM, dSPACE MABx, ControlDesk, Vector hardware, CANalyzer, CANape, GCP, SQL, Superset dashboard
Skills
radar sensor integrationcamera sensor integrationultrasonic sensor integrationfeature model integrationsoftware developmentembedded hardware designembedded software designcontrol algorithm developmentMatlabSimulinkPythonactive safety systems engineeringlaboratory testingvehicle testingdata collectiondata analysisMatlabSimulinkPythondSPACE MABxControlDeskVector hardwareCANalyzerCANapeGCPSQLSuperset
Benefits
- Immediate medical, dental, vision, and prescription drug coverage
- Paid parental leave
- new parent ramp-up programs
- subsidized back-up child care
- family building benefits including adoption and surrogacy expense reimbursement
- fertility treatments
- vehicle discount program
- management leases
- tuition assistance
- employee resource groups
- paid time off for community service
- generous vacation time
- sick/personal time
- paid holidays
Full description
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