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- Lead the integration of the plant and controller models for DAT into an overall vehicle model • Lead the development of a simulation environment to enable the simulation of DAT features • Lead/support the validation of the individual plant models and the overall vehicle model • Lead the development of simulation test cases for the verification of DAT features • Execute the simulation test cases to verify the operation of the DAT features and evaluate the vehicle behavior and its impact on customer experience • Understand sensor system interactions in terms of vehicle dynamics to identify possible improvements and trade-offs • Work with the Ford Hardware in the Loop, Simulator and Ford vehicle test teams to establish simulation procedures to reduce dependency on vehicle level testing • Integrate models of DAT sensors such as cameras, radars and ultrasonics into a full vehicle simulation model • Support Algorithm engineers developing models of sensor fusion and other DAT control algorithms • Perform robustness studies using real world scenarios.
- 2+ years of experience in product development 2+ years of experience in active safety systems such as ACC, AEB, LKA, TJA, Collision Avoidance • 2+ years of simulation experience using MathWorks Simulink frameworks or equivalent
- 2+ years of experience with vehicle modeling using tools such as CarSim or CarMaker • 1+ years of experience in ANSYS/VRXPERIENCE • Hands-on experience developing vehicle or system level HIL environment • Experience in development of control systems algorithms • Experience in Vehicle CAN network (CANayzer/CANape) • Experience with target identification and classification, path prediction and target threat assessment algorithms • Experience with Human-Machine Interface (HMI) development • Experience with remote sensing systems such as radar, camera, LIDAR or ultrasonic. • Experience developing software in-game engine environments • - Experience in designing, training & testing ML based models for varied use cases - Experience with descriptive, predictive, prescriptive analytics, optimization, and AI/ML
- 2+ years of experience in active safety systems such as ACC, AEB, LKA, TJA, Collision Avoidance • 2+ years of simulation experience using MathWorks Simulink frameworks or equivalent • - Experience in designing, training & testing ML based models for varied use cases - Experience with descriptive, predictive, prescriptive analytics, optimization, and AI/ML
- Bachelor's Degree in Engineering