Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
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.
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.
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.
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.
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.
S
Stellantis
Engine Calibration Methodology Engineer
Career Insights for Calibration Technician
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Michigan data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Calibration Technician is responsible for the routine inspection, testing, maintenance and repair of instruments and manufacturing equipment. The purpose of the calibration technician role is to ensure the accuracy of the measurements taken using this equipment.
$94,719 / year median in Michigan
+3% projected growth
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.
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.
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.