Ford's VPSE organization is seeking qualified candidates to develop control and diagnostic algorithms that support future diesel powertrain programs. The advanced diesel controls team is responsible for researching, developing and implementing control systems and diagnostic strategies that help make Ford vehicles environmentally responsible while delivering the performance customers expect.
Requirements
- 3 or more years of experience developing control algorithms for mechanical or electrical systems
- 3 or more years of experience with MATLAB/Simulink tools for data analysis, model development and software development (course work included)
- 3 years of power train controls system experience or related coursework
- 3 years of experience testing controls software in embedded hardware
- Familiarity with control development and calibration tools including MATLAB / Simulink, dSpace, Speedgoat, Vector CANalyzer, ETAS INCA, and ATI Vision
- Demonstrated statistical data analysis skills
- Control/diagnostic feature simulation skills
Responsibilities
- Design and deploy control algorithms to embedded controllers (including rapid prototyping into production level ECUs)
- Use MATLAB/Simulink or other tools to create embedded control software
- Develop, test, and validate new embedded controls and diagnostics for diesel programs, including fuel system, air path and exhaust aftertreatment in both physical and modeling environments
- Create software requirements, specifications, and validation plans
- Perform verification of the controls and control systems via control calibration and vehicle testing
- Work closely with downstream customers to validate the application of the control and diagnostic solutions and develop requirements, optimization models and calibration guides
Other
- B.S. degree in mechanical, electrical, aero, each with an emphasis in control theory or related areas (signal processing, optimization, machine learning)
- M.S. degree in mechanical, electrical, aero, each with an emphasis in control theory or related areas (signal processing, optimization, machine learning)
- Familiarity with systems engineering based problem solving and technology implementation
- Excellent written and oral communication skills
- Proven ability to work well with others as part of a diverse global team
