Engine Calibration Methodology Engineer

Location: Auburn Hills, MI Engine Calibration Engineer s upports development, validation, and continuous improvement of model-based and physics-based calibration methods across ICE, xHEV , and BEV applications. This early-career role assists methodology development, data analysis, model correlation, validation planning, and process documentation, helping calibration teams improve repeatability, quality, efficiency, range, fuel economy, drivability, and emissions readiness.

Key Responsibilities

Support gasoline base calibration methodology (torque model, spark, knock, combustion, airflow, fuel, boost, VVT, EGR, idle, startability) plus SS Emissions, Off-Nominal , and Transient calibration. Support release-readiness checklists, dataset maturity evidence, and organized documentation for calibration freeze and program milestones.

Support model-based/physics-based methods by documenting inputs, assumptions, limitations, and validation evidence; assist building/improving virtual models. Support correlation of vehicle, dyno, HIL/SIL/MIL, and virtual datasets to identify simulation-to-physical gaps. Use MATLAB, Simulink, ETAS INCA, MDA, dSPACE Automation, and Control.

Desk to support data analysis and methodology work. Support structured root-cause analysis, data summaries, and lessons-learned capture for calibration issue resolution. Support validation/test planning (dyno, vehicle, HIL/SIL/MIL, virtual) and calibration maturity/readiness assessments. Collaborate with CoE , Controls, Emissions, Validation, and application calibration teams; help document and improve methodology and best practices.

Basic Qualifications

BS in Engineering. Experience in engine system development, calibration, controls, model-based development, or physics-based modeling preferred. Prior experience in base engine dyno calibration on boosted/TJI engines. Knowledge of ICE subsystems: combustion, valvetrain, fuel system, boost, EGR, aftertreatment. Data acquisition experience collecting, processing, and organizing dyno, vehicle, HIL, or virtual test data.

Working knowledge of engine analysis/calibration tools, emissions development, and engine technologies. Basic proficiency in MATLAB/Simulink to support model-based analysis and calibration methodology . Good teamwork and independent-work skills; effective communication and clear documentation habits.

Preferred Qualifications

Master's degree in engineering. Experience with engine dynamometer measurement systems, data acquisition, and data analytics. Work experience in spark ignition engine controls and calibration. Experience with DOE, engine modeling, neural networks, reactive problem solving, or statistics. Exposure to Model Advisor/MXAM, Simulink Requirements, MDS, System.

Desk , RTC/RQM, DNG, or related model-quality tools.