Blue Cruise Core Integration Engineer at Ford Motor Company, Dearborn, MI

Blue Cruise Core Integration Engineer at Ford Motor Company in Dearborn, MI. Est. up to $160k. Apply with swipeandhired.

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, Lane Centering 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 and supporting the engineering development for our BlueCruise features.

• What you'll do...

• Support upgrades and enhancements to BlueCruise, by working closely with feature owners with modeling changes, regression testing, test vector support, data review, issue identification and supplier interaction.

• Support development and refinement of use cases and functional level requirements & targets for our next-generation BlueCruise features.

• Lead and support validation and verification of upgrades and enhancements to BlueCruise features, especially in-vehicle validation.

• Support replay and bench testing of algorithms to assess & improve performance of BlueCruise features, while conducting failure mode avoidance.

• Support feature model delivery to meet software delivery & program timing.

• Ensure system design, functional safety, and other deliverables allow for seamless integration with existing features and provide a thrilling user experience.

• Lead and 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, particularly 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.

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