Research Controls Engineer
We are a dynamic group of engineers in Research and Advanced Engineering responsible for developing electrified powertrain controls of tomorrow. Candidates for consideration will be focused on modeling and simulating electrified vehicle system operation, designing and implementing control algorithms, and validating designs in desktop simulation as well as in prototype vehicles. Successful candidates for this position will possess a track record of being strong independent thinkers, good communicators, and thrive in an environment where they need to understand the complete workings of vehicle controls and the complex interactions between subsystems.
Responsibilities:
- Analyze and model dynamic and complex system interactions supporting electrified powertrain and driver assistance technologies
- Application of advanced control methods such as Model Predictive Control, Adaptive Control, Optimal Control, and Machine Learning
- Develop vehicle control algorithms for electrified powertrain to deliver vehicle attributes, including control architecture selection, algorithm simulation, implementation in M BD environment, and verification and validation via MIL/HIL/vehicle
- Control algorithm implementation on embedded controllers
- Signal processing, including real-time data processing from onboard systems and V2X sources
- Initiate and lead research both internally and externally on advanced controls with applications in electrified vehicles and autonomous vehicles;
- Support the quality processes (requirements development, functional safety - ISO26262, fault tree analysis, FMEAs, P-diagrams, etc.)
- Support development and testing in prototype vehicles
Required Qualifications:
- Master of Science in Electrical, Mechanical, Aerospace Engineering or similar with emphasis on control systems or machine learning
- 2+ years of experience with development/implementation of advanced control, estimation, signal processing, or machine learning techniques (research thesis/focus area considered)
Preferred Qualifications:
- PhD with emphasis on control systems or machine learning
- Good working knowledge of Matlab/Simulink/Stateflow and/or programming in C and Python (ideally both)
- Experience developing embedded control software is desirable
- Research experience in electrified vehicle systems and controls, autonomous driving including path planning and vehicle motion planning
- Familiarity with system engineering approach and model based development
- Excellent written and oral communications
- Ability to work well with others
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.