*ford champs *looks forward to providing you with key knowledge and significant experiences for your professional career. This is a great platform to connect with leadership, collaborate with professionals in many areas of the business and learn more about our ford full time opportunities. Throughout this program, there are many opportunities to gain insight and exposure to our business that will last a lifetime
qualifications required:
- ability to translate business requirements into features and user stories
- familiarity with electrical architectures, electrical systems
- technical understanding of prototype engineering and embedded system architectures
- concepts: can bus, apis, programming logic
- preferred experience with sysml, uml, and other modeling languages.
- preferred experience with modeling tools such as enterprise architect, magicdraw, rhapsody, matlab, or simulink.
- bs in automotive/mechanical/industrial/electric/electronics/mechatronics engineering
- knowledge of vehicle components functions
- excellent written and oral communication skills both in english and spanish.
- be able to work flexibly across multiple disciplines.
- be able to simultaneously work on multiple projects while independently managing their time.
- be able to develop new expertise as needed. Possess the character and interpersonal skills required to serve as a trusted advisor.
roles &responsibilities:
- we are responsible for the creation of system engineering models for distributed features and platform systems and their corresponding specifications.
- we support the vehicle logical architecture design, integration and requirements generation and traceability.
- we lead global trainings in sysml / magic draw (industrialized courses)
- we provide support and mentoring related to the tool (magicdraw) and the language (sysml) to different regions.
- we participate in strategic systems engineering projects (e.g. Framework for cross-feature interaction, plugins development, mbse guidelines, etc)
- we provide early v&v and other analysis (fma, fusa) in a model-based approach