Engine Calibration Engineer

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. Basic Qualifications: Bachelor's degree in Engineering 5+ years of experience 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 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. 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. #J-18808-Ljbffr Stellantis