Position Description:We bring engineering ideas to life. In Product Development, we make driving more exciting, enjoyable and sustainable. OEM'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.
Job Duties:- Develop and mature system and subsystem level design, interfaces, and specifications to ensure production feature delivery across the entire range of OEM vehicle offerings, across the globe.
- Lead the development and refinement of In-Vehicle Software and their respective Implementation Requirements for the BlueCruise feature set.
- Support development and refinement of use cases and functional level requirements & targets for our next-generation BlueCruise features.
- Contribute towards 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, while conducting failure mode avoidance assessments.
- 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.
