About The Position

Stellantis’ Vehicle and Propulsion Controls organization is seeking a Propulsion Controls Systems Engineer to define and deliver end-to-end propulsion system architecture for next-generation electrified and hybrid powertrain technologies. In this role, you will translate vehicle-level feature requirements into scalable, high-performance system solutions, ensuring alignment across software, hardware, controls, and physical system integration. You will play a key role in advancing propulsion control strategies and enabling modern EV, BEV, and hybrid vehicle platforms. The ideal candidate thrives in a fast-paced, cross-functional environment and is passionate about solving complex technical challenges across global engineering teams.

Requirements

  • Bachelor’s degree in Electrical, Mechanical, Systems, or Controls Engineering
  • A minimum of 1 year of experience in propulsion controls / systems engineering
  • Good domain knowledge in: Engine / Hybrid / BEV control systems, Control algorithms and system behavior, Requirements engineering and system architecture

Nice To Haves

  • Master’s degree or PhD in Controls, Systems, or Automotive Engineering
  • Experience with MATLAB/Simulink modeling and controls development
  • Experience with MBSE (SysML, Rhapsody, Cameo)
  • Experience with DOORS, ALM, PLM (ENOVIA)
  • Knowledge of CAN /LIN/Ethernet communication protocols
  • Knowledge of Functional safety (ISO 26262)
  • Knowledge of ASPICE / Stellantis SE processes

Responsibilities

  • Develop and maintain operational, functional, and physical system architecture for propulsion control systems
  • Define system concepts, use cases, and operational scenarios for electrified powertrain applications
  • Perform functional decomposition and allocate requirements across subsystems and components
  • Define end-to-end propulsion system architecture (functional and physical) across ECU, sensors, actuators, and networks
  • Contribute to development and refinement of propulsion control strategies and algorithms
  • Support requirements engineering, system modeling, and MBSE activities (SysML)
  • Develop architecture artifacts including system definition documents, interface specifications, and EE network topology
  • Evaluate feasibility of vehicle-level functional objectives and provide design feedback to vehicle engineering teams
  • Define and document feature requirements and system behaviors
  • Develop DFMEA (Design Failure Mode and Effects Analysis) for assigned features
  • Support planning and deliverables aligned with internal and external stakeholder requirements
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