Blue Cruise Core Integration Engineer

Ford Motor Company•Dearborn, MI

4d•$84,480 - $166,200•Hybrid

About The Position

Ford’s Advanced Driver Assistance Systems (ADAS) team designs and develops hardware and functional models for features including Adaptive Cruise Control, Automatic Emergency Braking, Cross Traffic Alert, Lane Centering Assist, BlueCruise, and 360 Camera Systems. This position focuses on leading and supporting the engineering development of BlueCruise features. The engineer supports feature upgrades and enhancements, contributes to use cases and functional requirements, and leads or supports validation and verification, particularly in-vehicle validation. The role includes replay and bench testing, feature model delivery, system integration, functional safety deliverables, performance sign-off, validation method development, and analysis of track and real-world data. The engineer coordinates with internal teams and suppliers on development timing, design verification, real-world evaluations, root-cause analysis, and integration of models and software packages with production and in-situ hardware. AI tools and agents are used in evaluation, development, and design processes, with their results checked by the engineer. The position is hybrid and requires onsite work four or more days per week. The stated salary range is $84,480–$166,200; final salary grade and base salary depend on candidate skills and experience, job scope, responsibility, and competitive market value. Visa sponsorship is available. Candidates must be legally authorized to work in the United States, with eligibility verified at hire.

Requirements

Bachelor’s degree in Electrical, Computer, or Software Engineering, or a related field.
Two years of MATLAB/Simulink modeling experience in a professional or educational setting, in any combination.

Nice To Haves

Master’s degree in Electrical, Mechanical, Aerospace, Controls, Computer, or Software Engineering.
Experience developing and conducting laboratory and vehicle tests, collecting data, and analyzing results, especially in the automotive industry.
Experience integrating hardware and software into vehicles, including equipment installation and software flashing.
Experience with Adaptive Cruise Control, Blind Spot Systems, Lane Keeping, Lane Centering Systems, or similar ADAS features.
Experience with computer vision and radar tracking of humans, vehicles, static roadway obstacles, or other typical road objects.
Experience with computer vision detection and 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 or failure modes.
Experience developing, conducting, observing, and reporting statistically relevant experimentation or verification methods across the global population.
Experience with Mobileye EyeQ technology.
Experience with model-based design methods in Simulink for creating, developing, and enhancing current or new features.
Understanding of Kalman filtering, vehicle dynamics, and linear and nonlinear control methods.
Software engineering and algorithm development experience in a language such as C, C++, Python, or MATLAB.
Prior use of machine-learning models or tools and ability to use AI/ML tools in development cycles.
Ability to lead a small project, demonstrate ownership, and show initiative in improving existing processes.

Responsibilities

Support BlueCruise upgrades and enhancements through modeling changes, regression testing, test-vector support, data review, issue identification, and supplier interaction.
Support development and refinement of use cases, functional-level requirements, and targets for next-generation BlueCruise features.
Lead and support validation and verification of BlueCruise upgrades and enhancements, especially in-vehicle validation.
Support replay and bench testing of algorithms to assess and improve feature performance, including failure-mode avoidance.
Support feature model delivery to meet software delivery and program timing.
Ensure system design, functional safety, and other deliverables enable integration with existing features and deliver the intended user experience.
Lead and support development and refinement of design validation methods for feature-level performance across environmental and cross-carline noise factors.
Support sign-off of feature-level performance, particularly for first vehicle line application.
Support development of data-analysis techniques and methods using track and real-world validation data to assess whether features meet specifications.
Manage supplier timing for feature and functional development.
Coordinate with feature development engineers on execution of design verification plans to ensure feature-level performance.
Support planning and execution of real-world evaluations to identify system problems and issues.
Support and coordinate root-cause analysis with internal teams and external suppliers.
Support integration and model configuration, and integrate other software packages with production and in-situ hardware for pre-production feature-level verification.
Use AI tools and agents in evaluation, development, and design processes, and check the results produced by AI tools.