Power Unit Plant Modeling Engineer

GM Performance Power UnitsConcord, NC
Onsite

About The Position

GM Performance Power Units (GM PPU) is seeking a skilled Power Unit Plant Modeling Engineer to join our innovative engineering team in Concord, NC. This critical role develops high-fidelity 1D/0D transient plant models of F1 power unit systems (MGU, ES, ICE integration) that capture thermal-dependent performance degradation, life damage accumulation, and enable accurate lap-time simulation under race conditions.

Requirements

  • Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or related field; Master’s preferred.
  • 3+ years experience in 1D/0D system simulation for powertrains, electric machines, or thermal systems.
  • Proficiency with GT-Suite, Simulink, or equivalent 1D simulation platforms.
  • Strong understanding of thermal transients, heat transfer, efficiency degradation, and multi-physics coupling.
  • Experience with MATLAB/Python for model automation, post-processing, and data analysis.
  • Familiarity with lap-time simulation tools and vehicle dynamics integration.
  • Excellent analytical skills and attention to detail for high-fidelity model development.

Nice To Haves

  • Motorsport or F1 experience with power unit plant modeling or ERS performance simulation.
  • Experience developing damage accumulation models (Miner's rule, rainflow counting) for rotating machinery or electronics.
  • Knowledge of F1 power unit architecture, technical regulations, and energy deployment constraints.
  • Experience correlating simulation results with dyno/track telemetry data.
  • Familiarity with optimal control, model predictive control, or race strategy optimization.
  • Proficiency with Motion Applied (McLaren Applied) ATLAS or similar motorsport data analysis platforms.

Responsibilities

  • Develop coupled 1D transient plant models using GT-Suite or Simulink capturing MGU-K thermal degradation, ESME SoH decay, and ERS power limitations.
  • Integrate component-level damage models (fatigue, wear, thermal cycling) from durability engineers into multi-lap/stint simulations.
  • Create thermal-dependent efficiency maps, power derating curves, and performance degradation models validated against dyno telemetry.
  • Couple plant models with lap-time simulation to predict realistic lap-time deltas from thermal states and component degradation.
  • Support race strategy development through stint-length predictions, ERS deployment optimization, and thermal limit analysis.
  • Collaborate with durability, thermal simulation, lap-time simulation, and controls teams to ensure model fidelity and accuracy.
  • Analyze telemetry data to correlate model predictions with on-track performance and refine model parameters.
  • Document modeling methodologies, assumptions, and validation results for team knowledge base and FIA technical submissions.
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