The Electrified Powertrain Torque Path Technical Manager will lead a team of highly skilled Powertrain Controls Engineers responsible for the development, integration, and validation of advanced control systems for current and next-generation electrified propulsion platforms across Stellantis vehicle programs.
This leadership role is accountable for delivering robust, scalable, and production-ready electrified powertrain torque path control solutions that achieve vehicle-level targets for energy efficiency, performance, drivability, and regulatory compliance. The successful candidate will drive the development of torque path management strategies within the propulsion domain controller while ensuring seamless coordination across powertrain and vehicle systems.
The ideal candidate is an experienced technical leader with a strong background in controls development, systems engineering, and team management. They will thrive in a fast-paced, global development environment, possess excellent stakeholder management skills, and demonstrate a passion for coaching engineers and developing technical talent.
Key Responsibilities:
- Lead, mentor, and develop a high-performing team of Powertrain Controls Engineers.
- Establish team objectives, priorities, and development plans aligned with program and organizational goals.
- Plan, track, and deliver program milestones, ensuring quality, timing, and cost targets are achieved.
- Identify resource needs and secure the technical competencies required to support present and future electrification programs.
- Foster a culture of innovation, technical excellence, continuous improvement, and collaboration.
- Provide technical direction and subject matter expertise in the development of electrified propulsion control systems, including:
- Lead the definition, development, and integration of control strategies within the propulsion domain controller while collaborating closely with cross-functional teams responsible for:
- Internal combustion engines
- Electric motors and inverters
- Transmissions and driveline systems
- Battery management systems
- Thermal management systems
- Chassis and vehicle dynamics systems
- Software platform and vehicle architecture organizations
- Guide and support the complete torque path controls development process, including:
- Requirements elicitation and decomposition
- Functional and control software requirement development
- Software change request management
- Control algorithm architecture and design
- Model-based development and implementation
- Foresight to gauge impact on calibration strategy development
- Foresight to gauge impact on test plan definition and execution
- Technical reviews and peer assessments
- Foresight to gauge impact on verification and validation in MIL, SIL, HIL, and vehicle environments
- Foresight to gauge impact on software and system integration activities and microprocessor resources
- Root cause investigation and issue resolution
- Support program reviews, technical assessments, and executive-level reporting.
- Contribute to strategic technology roadmaps for future electrified propulsion torque management systems.
Key technical qualities:
- Deep understanding of advanced control theory and application, including state-based control systems, feedforward/feedback control, model predictive control (MPC), adaptive control, optimization-based control strategies, and energy management algorithms.
- Experience developing and deploying supervisory torque management strategies across Hybrid Electric Vehicle (HEV), Plug-In Hybrid Electric Vehicle (PHEV), Range-Extended Electric Vehicle (REEV), and Battery Electric Vehicle (BEV) architectures.
- Strong knowledge of constrained optimization techniques, including torque, power, thermal, battery, driveline, and vehicle-level operational constraints.
- Experience implementing embedded optimization algorithms for real-time automotive control applications while meeting safety, computational, and latency requirements.
- Familiarity with AI and machine learning techniques applied to controls development, calibration acceleration, diagnostics, anomaly detection, predictive control, and software development streamlining.
- Experience evaluating and deploying AI-enabled engineering workflows to improve controls development efficiency, requirement analysis, test generation, code quality, and validation productivity.
- Demonstrated ability to develop scalable and reusable control architectures through modularization, abstraction, feature decomposition, and component-based software design.
- Expertise in defining control interfaces, functional partitioning, and software architecture to maximize reusability across vehicle platforms and propulsion technologies.
- Experience driving standardization and reuse of torque management functions across multiple vehicle platforms and propulsion configurations.
- Ability to define future-ready propulsion control frameworks leveraging AI-assisted development, automated verification, virtual validation, and continuous integration/continuous deployment (CI/CD) methodologies.
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