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.
Ensure system design, functional safety, and other deliverables allow for seamless integration with existing features and provide a thrilling user experience.
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.
Closely coordinate with product, business and other engineering teams to develop new capabilities on top of the existing set of BlueCruise features.
Skills Required
Matlab, Simulink, Cross-functional, Software Development, Software Systems
Matlab - Knowledge and skills in developing, compiling, and debugging .m scripts, and S-Funcitons
Simulink - Knowledge and skills in developing, compiling, and debugging complex models in Simulink, working with state flow and unit testing for the models
Cross-Functional - Have the skills and experience in working with teams outside of your immediate team and work closely with suppliers.
Software Development - Working on a software delivery timeline for full integration of the SW release. Providing required unit tests, integration tests and validated SW for the release in Matlab/Simulink or any other software language.
Software Systems - Experience in documenting requirements at concepts, feature, and technology levels, working through FMEAs and FuSa analysis.
Skills Preferred
Process Validation, Software Testing, C++, Release Management
Process Validation - Experienced in the design, concept, and software validation for a feature in ADAS. ADAS milestone release process experience and skills to validate attributes from final production release.
Software Testing - Provide unit and integration tests for developed software. Utilizer simulation, or resin to validate the software that is developed.
C++ - Some basic knowledge of software development in C++ where some applications can move towards.
Release Management - Knowledge of SW release process with technical program managers and suppliers to provide features to the production timelines.
Experience Required
Bachelor's Degree in Electrical, Computer, or Software Engineering, or related field
5+ year MATLAB/Simulink modeling experience in a professional or educational setting, in any combination.
Experience with ANY of the following areas: Adaptive Cruise Control, Blind Spot Systems, Lane Keeping, Lane Centering Systems or similar ADAS features.
Experience Preferred
Master's degree in Electrical, Mechanical, Aerospace, Controls, Computer, or Software Engineering.
7+ year MATLAB/Simulink modeling experience in a professional or educational setting, in any combination.
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 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 in any language (C, C++, Python, MATLAB, etc.)
Developing and conducting laboratory and vehicle tests, data collection, and analysis.
Prior use of ML model or tools and ability to utilize AI/ML tools in development cycles.
Ability to lead a small project and demonstrate ownership and showing initiatives to improve existing processes.
Education Required
Bachelor's Degree
Education Preferred
Master's Degree
Additional Information
Hybrid - 4 days a week onsite
Use of AI Technology
Unless expressly authorized in the interview/skill set validation instructions, candidates may not use AI tools or other third-party assistance during an interview or assessment to generate or provide substantive answers to interview questions. Candidates should answer organically in their own words, drawing on their own knowledge, skills, and experience. Failure to adhere to these expectations may result in the candidate being removed from consideration.
