Job Description Ford’s Autonomous Vehicle Systems Engineering (AVSE) team is responsible for all system engineering and technical direction for Ford’s autonomous vehicle project. The AVSE team is seeking new team members to help our group develop new AV functionality in support of Transportation-as-a-Service (TaaS). Designing an AV to support a “service” requires several new (non-typical) features/functions to be deployed by both the Vehicle and Cloud environments. Successful candidates will be those who have the ability to operate in very dynamic environment and can handle a wide variety of tasks. They will be effective communicators, able to work with and pull together various work-streams throughout the company.
Responsibilities will include:
Leverage a model based approach to architecting, defining, and analyzing complex systems involving a mix of hardware and controls for new AV technologies.
Develop core systems engineering work products for systems development including: architecture analysis, use cases, strategy, descriptive and analytical models, requirements, interface matrices, and robustness & verification work products.
Support the quality and functional safety processes (FMEAs, P-diagrams, change control, HARA, STPA, etc.)
Perform design verification tests on prototype vehicles or constituent systems, analyze results, provide recommendations and drive to implementation.
Perform competitive analyses and maintain knowledge of emerging technologies in autonomous driving technologies in the automotive domain.
Lead/support cross-functional initiatives to drive solutions for the AV project
B.S. in Electrical/Mechanical/Systems Engineering, or related field
5+ years of experience leveraging Systems Engineering principles
2+ years of experience working in/with large, complex organizations
Advanced Engineering degree in related field.
Experience with model based systems engineering: SysML/MagicDraw
Experience with Agile tools: JIRA, RALLY
Understanding of ISO26262
Possess strong written & oral communication skills
Experience developing complex/distributed systems
Experience in verification techniques (DVMs, Data Acquisition/Analysis)
Understanding of typical vehicle communication protocols/interfaces: CAN, CANFD, LIN, MOST, LVDS, Automotive Ethernet, etc.
Experience with model based design: Matlab/Simulink/StateFlow
Experience with rapid prototyping environments: dSPACE ControlDesk, MicroAutoBox, etc.
Experience with robustness engineering principles/tools: DFMEA, P-Diagrams, etc.
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
Visa sponsorship may be available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.