HiL Plant Modeling & Configuration Engineer

GM Performance Power Units
- Concord, NC

HiL Plant Modeling & Configuration Engineer
- Onsite

GM Performance Power Units is seeking a highly motivated HiL Plant Modeling & Configuration Engineer to own development of the real-time power-unit plant models used to support testing and validation of Formula 1 control software. Based in Concord, North Carolina, this role offers a unique opportunity to contribute to a foundational area of our F1 program and join a world-class Electronics & Controls team.

The HiL Plant Modeling & Configuration Engineer will develop, integrate, correlate, and maintain the dynamic plant models required to operate the TAG-700 SECU in a closed-loop HiL environment. The primary scope covers the Formula 1 power unit, including the internal combustion engine, air path, fuel system, turbocharger, energy recovery system, hydraulics, gearbox, differential, electrical network, thermal systems, sensors, and actuators. Vehicle-side models will be integrated from the responsible simulation teams.

A key responsibility will be selecting model fidelity against the targeted control functions, required dynamic bandwidth, correlation accuracy, and real-time execution budget. The objective is a balanced simulation that captures the interactions needed to support closed-loop controls validation without unnecessary complexity.

• Own development, integration, correlation, and maintenance of the real-time power-unit plant models required to operate the TAG-700 SECU in a closed-loop HiL environment.
• Work with simulation teams from GMPPU, GM Motorsports, and Cadillac F1 to create a modular representation of the ICE, air path, fuel system, turbocharger, ERS, electrical and thermal systems, gearbox, differential, sensors, actuators, and supporting interfaces, while integrating vehicle-side models from the responsible teams.

• Work with simulation teams from GMPPU, GM Motorsports, Cadillac F1, and subsystem subject-matter experts to select fidelity based on targeted control functions, required bandwidth, correlation accuracy, available data, and real-time execution budget.
• Convert detailed engineering models into efficient real-time representations, applying fidelity where it creates measurable controls-validation value.

• Validate plant models through correlation against dyno, component, track, and higher-fidelity simulation data.
• Define correlation criteria and document model assumptions, operating ranges, limitations, parameter sources, intended use cases, and validated operating envelope.

• Work with electrical engineers to specify, configure, commission, and optimize the SECU HiL platform.
• Develop detailed supplier requirements covering real-time processors, I/O, signal conditioning, actuator loads, communication interfaces, electrical fault insertion, controller power sequencing, and crankshaft and camshaft signal generation.

• Monitor processor loading, execution timing, communication performance, and model stability to ensure efficient, deterministic, and reliable operation of the HiL environment.

• Provide a representative and repeatable environment for controls and validation engineers to test TAG-700 software under normal operation, transients, operating limits, degraded modes, and sensor, actuator, electrical, or communication faults.
• Support reproduction of relevant dyno and track conditions; ownership of control-validation testing remains with the validation teams.

• Support automated testing by making plant parameters, operating…