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Ford Motor Company Automated Driving – MBSE, Simulation and Functional Safety Engineer in Dearborn, Michigan


Job Title:

Automated Driving – MBSE, Simulation and Functional Safety Engineer

Job Description & Qualifications:

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

Ford’s Research and Advanced Engineering team explores new vehicle and societal innovations that require some level of invention before they can be applied to our products and services. The team is building on a history of Ford innovation, including our invention of the three-way catalytic converter to modernize vehicle emissions controls in the 1970s and the world’s first rear inflatable seat belts in 2010.

Today, we are exploring and delivering ways to make smarter vehicles and our transportation system more efficient to improve people’s lives by helping them move more freely, safely and enjoyably. For example, we are changing how our products are made by creating high-quality vehicles in an environmentally and socially responsible way, including the use sustainable materials. Since 2000, we have used 12 industry and world-first plant-based materials in our production vehicles. We also are researching the possible use of tomato skin, bamboo, agave fiber, dandelion roots, algae and coffee chaff as part of our ambitious goal of making our vehicles with up of 20 percent sustainable material by 2025.

What you will be able to do

At Ford, we are focused on creating next-generation mobility solutions that are completely customer-centric. That is why this position is focused on soliciting customer functionality needs and modeling/simulating user interaction scenarios and system behaviors. You will then deliver results, develop variant sets of solutions/interfaces, conduct trade-studies, analyze failure modes and emergent behaviors, and handle flow-down of requirements to the many parts of the system. Success involves both technical acuity and the ability to function across a diverse project team. You will need to be a confident, independent problem solver who can work well with ambiguity within a constantly evolving research environment. You will:

  • Maximize a model-based approach (descriptive/architectural SysML models in combination with executable/analysis models in Simulink, etc.) to architecting, defining/analyzing sophisticated systems involving a mix of hardware/controls for increasingly electrified, sensor-equipped and externally connected vehicles

  • Develop and handle a set of core systems engineering work products (e.g. use cases, strategy concepts, requirements, robustness artifacts, verification methods/plans/results, etc.)

  • Facilitate the design of interfaces between base vehicle subsystems

  • Handle the cascade of the above with subsystem teams

  • Develop physically/empirically based models/simulations of systems, customer features and whole vehicle environment scenarios, using them to conduct design option trade-off studies

  • Develop and automate test plans

  • Perform design verification tests on virtualized vehicle ecosystems/prototype vehicles/constituent systems, analyzing results to provide design recommendations

  • Support the Ford-tailored specialty processes (e.g. requirements development, functional safety/ISO26262, SOTIF, fault tree analysis, FMEAs, Cyber Security, etc.)

  • Perform competitive analyses and maintain knowledge of emerging technologies in the automotive field

  • Present designs, challenges, implementation details and results with excellent communications skills

  • Anticipate partner and downstream customer needs through well-managed, smartly selected project work

  • Conduct ongoing peer/landmark reviews and virtual/real-vehicle demonstrations

The minimum requirements we seek

  • Master’s Degree in Engineering or Computer Science

  • 3+ years of experience with requirements definition, decomposition, systems/controls design, trade/feasibility studies and/or design verification/validation

  • 2+ years of experience with Matlab, Simulink and/or Stateflow

  • 2+ years of experience with SysML, UML, UAF, DoDAF and/or MoDAF

Our preferred requirements

  • PhD in Electrical Engineering or Systems Engineering

  • 5+ years of experience in controls and/or systems engineering

  • 3+ years of experience in Advanced Driver Assistance Systems (ADAS) development

  • Demonstrated understanding of ISO-26262 and SOTIF

  • Experience with threat modeling and other cyber security related details

  • Proven experience with virtual simulation environments (e.g. CarSim, CarMaker, etc.) for vehicle feature verification/validation

  • Experience with hands on testing/problem solving in simulation, hardware in the loop systems and prototype vehicles

  • Significant experience utilizing models to develop/verify mixed hardware and embedded software systems

  • Experience with CAN networks and tools (e.g. Canalyzer, Canape, etc.)

  • Experience with model-based systems architecting languages/tools (e.g. SysML, MagicDraw, etc.) and associated methods

  • Skilled at working in large team environments and collaborating with technical specialists

What you will receive in return

As part of the Ford family, you will enjoy excellent compensation and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation and much more. You will also experience exciting opportunities for professional and personal growth and recognition.

If you have what it takes to help us redefine the future of mobility, we would love to have you join us.

Visa sponsorship may be available for this position.

By choice, we are 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.

Auto req ID:



Ford Motor Company


Autonomous Vehicles

Skill Team:

Research & Advanced Engineering (R&A)


Research & Advanced Engrg