Engine Calibration Engineer

Stellantis NV; Auburn Hills (MI); On-site; USD 110,000 - 150,000; Full time

Job summary

Stellantis NV in Auburn Hills, MI is seeking an Engine Calibration Engineer to define, improve, and deploy model-based and physics-based calibration methods for gasoline engine applications. You will create repeatable workflows, templates, and validation criteria to support robust SS Nominal, SS Emissions, Off-Nominal, and Transient calibrations across programs.

You will mentor engineers, align CoE and cross-functional teams, and drive repeatable calibration workflows using MATLAB/Simulink, ETAS

Qualifications

• Bachelor's degree 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.

Responsibilities

• Lead 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.
• Standardize methodology 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.

Skills

Base calibration experience

Problem solving

Cross-functional collaboration

Technical communication

Model-based development

Education

Bachelor's in Engineering

Master's degree in engineering

Tools

ETAS INCA

MDA

dSPACE Automation

ControlDesk

MATLAB

Simulink

data analytics tools

Job description

Location: Auburn Hills, MI

Engine 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 Responsibilities

• Lead 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.

• Standardize methodology 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 Qualifications

• Bachelor'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 Qualifications

• Master'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.