Engine Calibration Methodology Engineer

Stellantis; Auburn Hills (MI); On-site; USD 65,000 - 95,000; Full time

Job summary

Stellantis Auburn Hills is seeking an Engine Calibration Engineer to support development, validation, and continuous improvement of calibration methods across ICE, xHEV, and BEV applications.

You will assist methodology development, data analysis, model correlation, validation planning, and documentation to improve repeatability, quality, efficiency, range, fuel economy, drivability, and emissions readiness.

Qualifications

• BS in Engineering (required)
• Experience in engine system development, calibration, controls, or physics-based modeling preferred
• Prior base engine dyno calibration experience on boosted engines
• Knowledge of ICE subsystems: combustion, valvetrain, fuel system, boost, EGR
• Data acquisition from dyno/vehicle/HIL/ MIL data and basic MATLAB/Simulink proficiency

Responsibilities

• Support gasoline base calibration methodology across torque, spark, knock, combustion, airflow, fuel, boost, VVT, EGR, idle and startability
• Assist release-readiness checklists and documentation for calibration milestones
• Document inputs, assumptions, limitations, and validation evidence for model-based methods
• Correlate vehicle, dyno, HIL/SIL/MIL and virtual data to identify gaps between simulation and physical data
• Collaborate with CoE, Controls, Emissions, Validation, and application calibration teams to improve methodologies

Skills

Engine calibration

Data analysis

Model-based development

Documentation

Teamwork

Education

BS in Engineering

Master's degree in engineering

Tools

MATLAB/Simulink

ETAS INCA

MDA

dSPACE Automation

ControlDesk

Job description

Location: Auburn Hills, MI

Engine Calibration Engineer supports 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 ControlDesk 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, SystemDesk, RTC/RQM, DNG, or related model-quality tools.