Highlights
Interface with the module teams that make up the overall distributed feature (ABS, PCM, IPC, AHU, etc.) to ensure system level function and requirements are met. Work with the Ford Hardware in the Loop Team and Simulation team to establish CAE procedures to reduce dependencies on vehicle level testing.
Numbers & Facts
| Location | Dearborn, MI |
Description
We bring engineering ideas to life. In Product Development, we make driving more exciting, enjoyable and sustainable. Ford's ADAS team designs and develops hardware and functional models that provide Best in Class behavior for features like Adaptive Cruise Control, Automatic Emergency Braking, Cross Traffic Alert, Active Park Assist and 360 Camera Systems.
In this position...
We are seeking seasoned professionals who can contribute to our efforts with experience in the development of sensors, ECUs, models and software. This position is focused on a Pre-Collision Assist / Automatic Emergency Braking feature developer to ensure core feature models are developed, integrated into a central ADAS ECU, meet systems engineering, and meet the expected acceptance criteria through proper test methods. This could also involve other elements of the process because we are seeking to add high-quality people to the team rather than trying to squeeze engineers into a specific role.
We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
What you'll do...
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 (ABS, PCM, IPC, AHU, etc.) 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. Work with the larger team to fix issues for production.
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.
What you'll do...
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 (ABS, PCM, IPC, AHU, etc.) 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. Work with the larger team to fix issues for production.
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.