Vehicle Controls Engineer - Propulsion Controls

Ford Motor CompanyDearborn, MI
$99,600 - $192,900

About The Position

Join the Ford Research and Advanced Engineering team as a Vehicle Controls Engineer specializing in Propulsion Controls. You will work with a cross-functional team of highly technical engineers to deliver propulsion systems for future electrified vehicles. This role involves applying knowledge of control algorithms, systems engineering methods, modeling, and simulation to develop vehicle controls that enable new technologies and functions. The goal is to continuously improve the capability, robustness, and value of vehicles, with a focus on improving the entire control system development process. You will develop control systems for new powertrain technologies, analyze customer needs, define architecture and functionality, model and simulate propulsion system operation, design and implement control algorithms, and validate designs through desktop simulation, hardware benches, test stands, and prototype vehicles. Successful candidates will demonstrate strong independent thinking, effective communication, self-motivation, complex system troubleshooting, and the ability to understand the complete workings of propulsion controls and their subsystem interactions.

Requirements

  • Strong independent thinking.
  • Effective communication.
  • Self-motivation.
  • Complex system troubleshooting.
  • Ability to understand the complete workings of propulsion controls and the complex interactions between subsystems.

Responsibilities

  • Develop control systems for newest powertrain technologies.
  • Analyze customer needs and define required architecture and functionality early in the development cycle.
  • Model and simulate propulsion system operation.
  • Design and implement control algorithms.
  • Validate designs in desktop simulation, hardware benches, test stands, and prototype vehicles.
  • Develop technologies for future vehicle programs.
  • Take designs from pure math and desktop simulation (MIL/SIL) to hardware testing (HIL), and ultimately to calibrating and driving actual prototype vehicles.
  • Leverage modern software practices, automated CI/CD pipelines, and cutting-edge AI coding assistants like GitHub Copilot to accelerate development.
  • Harness the power of cloud computing, wireless vehicle data, and AI/ML to develop predictive, self-optimizing energy management systems.
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