GM Performance Power Units - Concord, NC
HiL Plant Modeling & Configuration Engineer - Onsite
Job Summary
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.
Key Responsibilities
HiL Plant Modeling and Integration
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.
Model-Fidelity Strategy
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.
Model Correlation and Validation
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.
HiL Hardware and Real-Time Platform
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.
Real-Time Platform Performance
Monitor processor loading, execution timing, communication performance, and model stability to ensure efficient, deterministic, and reliable operation of the HiL environment.
Closed-Loop Test Support and Fault Simulation
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.
Automation and Configuration Management
Support automated testing by making plant parameters, operating conditions, faults, and measurement channels configurable within the HiL environment.
Maintain plant models, parameters, I/O configurations, hardware mappings, and supporting utilities under structured version and configuration…