Ford Motor Company Research Engineer in Dearborn, Michigan
Job Description & Qualifications:
Ford’s Research and Advanced Engineering organization is looking for a highly qualified candidate to join our team in developing vehicle controls for a variety of exciting technologies. Our team is responsible for conducting research in advanced vehicle controls and optimization that will result in new and innovative features for our customers. We conduct research, often working with academic partners, to develop novel ideas into innovative technologies that are transferred to production programs. Our work supports Ford Motor Company globally as part of a diverse team of System, Control and Software engineering specialists who apply their knowledge to a broad range of vehicle control projects including Powertrain, Chassis/Brakes, Electrification, Electrical, Safety, as well as product development techniques and strategies. We work on challenging technical problems and deliver innovative, effective, and industry-leading solutions.
Research and development of advanced control techniques such as model predictive control, adaptive control, optimal control, and intelligent control enabling innovative automotive technologies and in-vehicle features.
Research and development of robust optimization algorithms that meet customer requirements for a wide range of complex global automotive applications.
Analysis of system behavior and plant modeling.
Signal processing, including real-time data processing from onboard systems, as well as cloud and vehicle-to-vehicle based sources.
Control of autonomous vehicles
Support development and testing of prototype systems and methods.
Development and leadership of research portfolios (internal research and work with university partners)
Master’s Degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering or related engineering degree
3+ years of experience in Fields of optimal / adaptive / predictive controls
PhD in Electrical, Mechanical, Aerospace Engineering or similar with emphasis on control systems
3+ years of experience with the methods for optimization and optimal control, including MPC and stochastic optimal control
3+ years of experience with the methods of machine learning
3+ years of experience with the basics of computational intelligence, and specifically evolutionary computing, is a plus
Experience with C, Matlab/Simulink/Stateflow, Real Time Workshop, dSpace
Experience with embedded algorithms
Experience with hardware implementation of advanced algorithms
Excellent problem solving skills, innovative thinking, and passion for automotive engineering
Excellent written/oral communications
Proven ability to work well with others as part of a diverse global team
Join our team as we create tomorrow! We believe in putting people first, working together, and facing challenges head-on, because we are Built Ford Tough. We are one team striving to make people’s lives better while creating value, delivering excellence and ultimately going for the win.
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.
Auto req ID:
Ford Motor Company
Research & Advanced Engineering (R&A)
Research & Advanced Engrg
Ford Motor Company
- Ford Motor Company Jobs