Location:

Auburn Hills, MIEngine Calibration Engineer defining, improving, and deploying model-based and physics-based calibration methods for gasoline engine applications. Creates repeatable workflows, templates, validation criteria, and model correlation methods that enable application calibrators to deliver robust SS Nominal, SS Emissions, Off-Nominal, and Transient Calibration, bridging physical system behavior, simulation models, and production-intent quality expectations.

Key ResponsibilitiesLead gasoline base calibration methodology (torque model, spark, knock, combustion, airflow, fuel, boost, VVT, EGR, idle, startability) plus SS Emissions, Off-Nominal, and Transient calibration methods.

Define release-readiness criteria, checklists, and documentation standards for calibration freeze, software release, and program milestones.

Develop model-based/physics-based methods with defined inputs, assumptions, limitations, and acceptance criteria; build/guide virtual models to reduce reliance on physical testing.

Define model correlation methods across vehicle, engine/propulsion dyno, HIL/SIL/MIL, and virtual datasets to close simulation-to-physical gaps.

Standardizemethodology toolchain use: MATLAB, Simulink, ETAS INCA, MDA, dSPACE Automation, ControlDesk.

Build structured root-cause analysis and issue-resolution templates; capture lessons learned and reusable countermeasures across applications.

Define validation/test-planning methods (dyno, vehicle, HIL/SIL/MIL, virtual) and maturity/readiness criteria for program reviews and launches.

Mentor engineers, align CoE and cross-functional teams, and drive consistent documentation and repeatable calibration workflows. Required QualificationsBachelor's in Engineering or related field.5 years in gasoline engine calibration, calibration methodology, engine system development, powertrain controls, or model-based/physics-based development.

Prior experience on dyno calibration on Boosted/TJI engine technologies.

Strong knowledge of ICE subsystems: combustion, valvetrain, fuel, boost, EGR, aftertreatment, thermal protection, transient behavior, emissions controls.

Hands-on experience in base calibration areas (torque model, spark, knock, combustion, airflow, fuel, boost, VVT, EGR, idle, startability, emissions, off-nominal, transient).Understanding of release workflows, validation planning, optimization methods, and control-system interactions.

Experience collecting/interpreting calibration data from dyno, vehicle, HIL, or virtual environments.

Proficiency with ETAS INCA, MDA, dSPACE Automation, ControlDesk, MATLAB, Simulink, and data analytics tools.

Strong problem-solving, cross-functional influence, and clear technical communication skills.

Preferred QualificationsMaster's degree in engineering.

Experience with spark ignition controls, production calibration release, or process ownership.

Experience with validation trips, altitude/environmental testing, launch support, and maturity assessments.

Experience with DOE, engine modeling, neural networks, reactive problem solving, statistics, or advanced simulation tools.

Familiarity with Model Advisor/MXAM, MDS, Simulink Requirements, SystemDesk, RTC/RQM, DNG, or SLDD-to-A2L/FBDD workflows.

Location:

Auburn Hills, MIEngine Calibration Engineer defining, improving, and deploying model-based and physics-based calibration methods for gasoline engine applications. Creates repeatable workflows, templates, validation criteria, and model correlation methods that enable application calibrators to deliver robust SS Nominal, SS Emissions, Off-Nominal, and Transient Calibration, bridging physical system behavior, simulation models, and production-intent quality expectations.

Key ResponsibilitiesLead gasoline base calibration methodology (torque model, spark, knock, combustion, airflow, fuel, boost, VVT, EGR, idle, startability) plus SS Emissions, Off-Nominal, and Transient calibration methods.

Define release-readiness criteria, checklists, and documentation standards for calibration freeze, software release, and program milestones.

Develop model-based/physics-based methods with defined inputs, assumptions, limitations, and acceptance criteria; build/guide virtual models to reduce reliance on physical testing.

Define model correlation methods across vehicle, engine/propulsion dyno, HIL/SIL/MIL, and virtual datasets to close simulation-to-physical gaps.

Standardizemethodology toolchain use: MATLAB, Simulink, ETAS INCA, MDA, dSPACE Automation, ControlDesk.

Build structured root-cause analysis and issue-resolution templates; capture lessons learned and reusable countermeasures across applications.

Define validation/test-planning methods (dyno, vehicle, HIL/SIL/MIL, virtual) and maturity/readiness criteria for program reviews and launches.

Mentor engineers, align CoE and cross-functional teams, and drive consistent documentation and repeatable calibration workflows.

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability.

Diverse teams will allow us to better meet the evolving needs of our customers and care for our future. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.