Power Unit Plant Modeling Engineer

GMPPU; Concord (NC); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Opportunity to work in F1 motorsport

Innovative and collaborative environment

Job summary

GMPPU in Concord, NC seeks a skilled Power Unit Plant Modeling Engineer to join the innovative engineering team. You will develop high-fidelity 1D/0D transient plant models for F1 power unit systems, ensuring performance and reliability.

This role is pivotal, requiring expertise in system simulation, analysis of telemetry data, and collaboration with multiple teams to enhance racing strategy and vehicle performance.

Qualifications

• 3+ years experience in 1D/0D system simulation for powertrains or thermal systems.
• Proficiency with GT-Suite or equivalent.
• Experience correlating simulation results with telemetry data.

Responsibilities

• Develop coupled 1D transient plant models using GT-Suite.
• Integrate damage models into simulations.
• Support race strategy through thermal limit analysis.

Skills

1D/0D system simulation

Mechanical Engineering

GT-Suite

Simulink

MATLAB/Python

thermal transients

motorsport performance

Education

Bachelor’s degree in Mechanical Engineering or related field

Master’s preferred

Tools

GT-Suite

Simulink

Motion Applied ATLAS

Job description

Formula 1 Power Unit Plant Modeling Engineer

Concord, NC, USA

Job Description

Posted Monday, April 6, 2026 at 4:00 AM

GM Performance Power Units - Concord, NC

Job Summary

GM Performance Power Units (GM PPU) is seeking a skilled Power Unit Plant Modeling Engineerto 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.

Key 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.

Required Qualifications

• 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.
• 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.

Personal Attributes

• Methodical problem-solver with strong systems thinking and attention to model fidelity.
• Proactive collaborator who thrives integrating inputs from multiple engineering disciplines.
• Data-driven mindset comfortable working with complex telemetry datasets and validation.
• Passionate about motorsport performance with drive to deliver lap-time gains through modeling.
• Effective communicator who translates complex model results into actionable insights.

Why Join Us

You’ll play a pivotal role in ensuring the reliability and performance of a next-generation Formula 1 power unit. Our culture rewards precision, innovation, and the relentless pursuit of performance.