DAT Feature

We bring engineering ideas to life. In Product Development, we make driving more exciting, enjoyable and sustainable. Ford’s Advanced Driver Assistance Systems (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, Lane Center Assist, BlueCruise, and 360 Camera Systems. We are seeking seasoned professionals who can contribute to our efforts with experience in the development of sensors, ECUs, models, and software. This position focuses on leading the engineering for our next generation of BlueCruise features.

Support development and refinement of use cases and functional level requirements & targets for our next-generation BlueCruise features.  Support upgrades and enhancements to our BlueCruise features, by working closely with feature owners with modeling changes, regression testing, test vector support, data review, issue identification and supplier interaction. Support replay and bench testing of algorithms to assess & improve performance of BlueCruise features.  Support feature model delivery to meet software delivery & program timing.  Support development and refinement of functional safety requirements, item definition, hazard analysis & risk assessment, and functional safety concept in compliance with ISO-26262 / Ford Functional Safety process for BlueCruise features. Develop and mature system and subsystem level design, interfaces, and specifications to ensure production feature delivery across the entire range of Ford Motor Company vehicle offerings. Ensure system design, functional safety, and other deliverables allow for seamless integration with existing features and provide a thrilling user experience.  Manage feature / functional development timing by suppliers.  Support the development and refinement of design validation methods for ensuring proper feature-level performance across a variety of environmental and cross-carline noise factors.  Support sign off of feature level performance, in particular first vehicle line application.  Support the development of data analysis techniques and methods from data generated by both track and real-world validation methods to ensure feature achieves the desired specifications.  Closely coordinate with feature development engineers to support execution of design verification plans to ensure proper feature-level performance.  Support the planning and execution of real-world evaluations to identify system problems and issues. Support and coordinate root-cause analysis with internal and external suppliers to ensure delivered system thrills our customers with the user experience.  Support Integration and model configuration, and other software packages with a variety of production and other in situ hardware to enable pre-production feature-level verification.  Bachelor’s Degree in Electrical, Computer, or Software Engineering, or related field  1 year MATLAB/Simulink modeling experience in a professional or educational setting, in any combination. 

Preferred Qualifications:

Master’s degree in Electrical, Mechanical, Aerospace, Controls, Computer, or Software Engineering. Experience with ANY of the following areas: Adaptive Cruise Control, Blind Spot Systems, Lane Keeping or Lane Centering Systems.  Experience with computer vision & RADAR tracking of humans, vehicles, static roadway obstacles or other typical road objects. Experience with computer vision detection & tracking of signs, lights, lanes and other key artifacts.  Understanding of embedded hardware and software design. Experience reviewing, categorizing, and analyzing field data to determine error states / failure modes.  Experience developing, conducting, observing, and reporting on statistically relevant experimentation / verification methods across the global population. Experience with MobilEye EyeQ technology Experience with model-based design methods in Simulink for creation/development and enhancement of current / new features.  Understanding of Kalman filtering, vehicle dynamics, linear & nonlinear control methods. Software engineering & algorithm development experience. Any development time in any language (C, C++, Python, MATLAB, Developing and conducting laboratory and vehicle tests, data collection, and analysis.

---