Autonomous Vehicles and Controls - Systems Engineer

The Autonomous Vehicle Systems Engineering (AVSE) team is part of Ford’s Automated Driving organization and is responsible for all system engineering and technical direction for advanced projects. The AVSE group is seeking new team members to help develop new Automated Driving capabilities. Designing an Automated Driving Systems requires several new (non-typical) features/functions to be deployed by both the Vehicle and Cloud. 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, and be willing to tackle a variety of evolving tasks.


Responsibilities will include:

• Leverage a model based approach to architecting, defining, and analyzing complex systems involving a mix of hardware and controls for new Automated Vehicle 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 analysis efforts (FMEAs, P-diagrams, Boundary diagrams, RCL, 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 relevant emerging technologies in the automotive domain.

• Lead/support cross-functional initiatives to drive solutions for the Automated Driving projects

Minimum Qualifications:

• B.S. in Electrical/Mechanical/Systems Engineering, or related field

• 3+ years of experience leveraging Systems Engineering principles

• 1+ years’ experience in verification techniques (DVMs, Data Acquisition/Analysis)

• 3+ years of experience working with model based design: Matlab/Simulink/StateFlow.

• 3+ years of experience with robustness engineering principles/tools: DFMEA, P-Diagrams, etc.

Preferred Qualifications:

• Advanced Engineering degree in related field.

• Experience with model based systems engineering: SysML/MagicDraw

• Experience with Agile tools: JIRA, RALLY, etc.

• Understanding of ISO26262

• Possess strong written & oral communication skills

• Experience working in/with large, complex organizations

• Experience developing complex/distributed systems

• Experience with rapid prototyping environments: dSPACE ControlDesk, MicroAutoBox, etc

• Experience working with typical vehicle communication protocols/interfaces: CAN, CANFD, LIN, MOST, LVDS, Automotive Ethernet, 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.