Engine Calibration Methodology Engineer

Stellantis Financial Services; Auburn Hills (MI); On-site; USD 70,000 - 95,000; Full time

Job summary

Stellantis Financial Services is seeking an Engine Calibration Engineer to support development, validation, and improvement of calibration methods across ICE, xHEV, and BEV platforms. You will assist methodology development, data analysis, and documentation to boost repeatability, quality, efficiency, range, and emissions readiness.

The role involves coordinating with CoE, Controls, Emissions, and Validation teams, using MATLAB/Simulink, ETAS INCA, MDA, and dSPACE tools to build and validate

Qualifications

• BS in Engineering or higher; early-career level.
• Master's degree preferred for advanced calibration work.
• Experience or familiarity with engine calibration and model-based methods.
• Proficiency in MATLAB/Simulink to support model-based analysis.

Responsibilities

• Support gasoline base calibration methodology (torque model, spark, knock, combustion, airflow, fuel, boost, VVT, EGR, idle, startability).
• Support emissions, off-nominal, and transient calibration efforts.
• Document inputs, assumptions, limitations, and validation evidence; assist building virtual models.
• Correlate vehicle, dyno, HIL/SIL/MIL, and virtual datasets to identify gaps.
• Use MATLAB, Simulink, ETAS INCA, MDA, dSPACE to support data analysis and methodology work.
• Assist root-cause analysis, data summaries, and lessons-learned capture for calibration issues.
• Assist validation/test planning and calibration maturity/readiness assessments.
• Collaborate with CoE, Controls, Emissions, Validation, and calibration teams; document and improve methodologies.

Skills

MATLAB/Simulink

Data analysis

Documentation

Teamwork

Education

BS in Engineering

Master's degree in engineering

Tools

ETAS INCA

dSPACE

ControlDesk

MDA

MXAM/Model Advisor

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.