Core Integration Engineer

Ford Motor Company

. Support upgrades and enhancements to BlueCruise through modeling changes, regression testing, test vector support, data review, issue identification, and supplier interaction .

Posted 11/4/2026full-timeDearborn • Michigan • United StatesJuniorMid-Level💰 $84,480 - $166,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in MATLAB/Simulink modeling, data analysis, and validation processes for automotive systems, particularly in the context of Advanced Driver Assistance Systems (ADAS). Proficient in integrating hardware and software solutions while ensuring compliance with functional safety and performance standards.

Highest-signal resume keywords

MATLAB/Simulink ModelingADAS Feature DevelopmentData Analysis TechniquesHardware/Software IntegrationProject Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

MATLABSimulinkCC++PythonComputer VisionRadar TrackingKalman FilteringModel-Based DesignAlgorithm Development

Soft Skills

OwnershipProcess ImprovementCollaboration

Tools & Technologies

Mobileye EyeQAI ToolsSimulation Tools

Industry Keywords

Electrical EngineeringComputer EngineeringAutomotive IndustryFunctional SafetyVehicle DynamicsAdaptive Cruise ControlBlind Spot SystemsLane Keeping SystemsStatistical ExperimentationField Data Analysis

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

Support upgrades and enhancements to BlueCruise through 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 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 and conduct failure mode avoidance
Support feature model delivery to meet software delivery and program timing
Ensure system design, functional safety, and other deliverables integrate seamlessly with existing features
Lead and support development and refinement of design validation methods across environmental and cross-carline noise factors
Support sign-off of feature-level performance, particularly for the first vehicle-line application
Develop data analysis techniques using track and real-world validation data to ensure specifications are achieved
Manage supplier feature/functional development timing
Coordinate with feature development engineers on design verification plans
Support planning and execution of real-world evaluations to identify system problems and issues
Support and coordinate root-cause analysis with internal and external suppliers
Support integration and model configuration with production and in-situ hardware for pre-production feature-level verification
Utilize AI tools and agents for evaluation, development, and design processes while checking AI-generated results

Requirements

What you’ll need

Bachelor’s Degree in Electrical, Computer, or Software Engineering, or related field
2 year MATLAB/Simulink modeling experience in a professional or educational setting, in any combination
Candidates must be legally authorized to work in the United States
Master’s degree in Electrical, Mechanical, Aerospace, Controls, Computer, or Software Engineering (preferred)
Experience developing and conducting laboratory and vehicle tests, data collection, and analysis, 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
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/failure modes
Experience developing, conducting, observing, and reporting on statistically relevant experimentation/verification methods
Experience with Mobileye EyeQ technology
Experience with model-based design methods in Simulink
Understanding of Kalman filtering, vehicle dynamics, and linear/nonlinear control methods
Software engineering and algorithm development experience in C, C++, Python, MATLAB, or another language
Prior use of ML models or tools and ability to utilize AI/ML tools in development cycles
Ability to lead a small project, demonstrate ownership, and initiate process improvements

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days
Paid parental leave
New parent ramp-up programs
Subsidized back-up child care
Family building benefits including adoption and surrogacy expense reimbursement and fertility treatments
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time