Engine Calibration Methodology Engineer

Stellantis

Auburn Hills (MI)

Sur place

USD 70 000 - 100 000

Plein temps

Il y a 6 jours
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Résumé du poste

Stellantis in Auburn Hills, MI is seeking an Engine Calibration Engineer to support development, validation, and improvement of model-based and physics-based calibration methods across ICE, xHEV, and BEV applications. You will assist methodology development, data analysis, and documentation to help calibration teams improve repeatability, quality, efficiency, range, fuel economy, and emissions readiness.

This early-career role involves collaborating with cross-functional teams, maintaining

Qualifications

  • Bachelor's degree in Engineering is required.
  • 3+ years of experience in engine system development, calibration, controls, model-based development.
  • Experience with base engine dyno calibration on boosted/TJI engines.
  • Knowledge of ICE subsystems: combustion, valvetrain, fuel system, boost, EGR, aftertreatment.
  • Data acquisition experience with dyno, vehicle, HIL, or virtual test data.
  • Working knowledge of engine analysis, calibration tools, emissions development, and engine technologies.
  • Proficiency in MATLAB/Simulink to support model-based analysis and calibration.
  • Good teamwork, independent work, and clear documentation habits.

Responsabilités

  • Support gasoline base calibration methodology across torque model, spark, knock, combustion, airflow, fuel, boost, VVT, EGR, idle, startability.
  • Assist release-readiness checklists and documentation for calibration milestones.
  • Document inputs, assumptions, limitations, and validation evidence; help build/ improve virtual models.
  • Correlate vehicle, dyno, HIL/SIL/MIL, and virtual datasets to identify gaps.
  • Use MATLAB, Simulink, ETAS INCA, MDA, dSPACE Automation, and ControlDesk for data analysis.
  • Support root-cause analysis, data summaries, and lessons-learned capture for calibration issue resolution.
  • Support validation/test planning and calibration maturity/readiness assessments.
  • Collaborate with CoE, Controls, Emissions, Validation, and calibration teams; improve practices.

Connaissances

Engine calibration
Data analysis
Teamwork
Documentation
Independent work
Communication

Formation

Bachelor's degree in Engineering
Master's degree

Outils

MATLAB/Simulink
ETAS INCA
MDA
dSPACE Automation
ControlDesk

Description du poste

Location: Auburn Hills, MI

Engine Calibration Engineer s 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:

  • Bachelor's degree in Engineering
  • 3+ years of experience in engine system development, calibration, controls, model-based development
  • 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
  • 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 s 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.

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