Bachelor's degree in Engineering or related technical field
5+ years in gasoline engine calibration or related methodologies
Hands-on experience with Boosted/TJI engine technologies
Strong knowledge of ICE subsystems and their interactions
Experience with calibration data collection from various environments
Proficiency in MATLAB, Simulink, and ETAS INCA
Strong problem-solving and technical communication skills
Responsibilities
Lead development of gasoline base calibration methodologies
Define documentation standards for calibration and software release
Develop model-based methods to minimize physical testing
Establish model correlation methods to bridge simulation and physical gaps
Standardize toolchain usage across calibration processes
Create structured templates for root-cause analysis and issue resolution
Define validation methods and readiness criteria for program launches
Benefits
Mentorship opportunities for professional growth
Collaboration with cross-functional teams
Access to advanced simulation and calibration tools
Involvement in innovative engine technologies
Potential for career advancement within the organization
Full 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.
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 or a related technical 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
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
About Stellantis
Stellantis is a multinational automotive manufacturer formed in 2021 by the merger of Fiat Chrysler Automobiles and Groupe PSA. The company designs, produces, and sells a wide range of vehicles under various brands, including Alfa Romeo, Chrysler, Citroen, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, and Vauxhall. Stellantis operates in over 130 countries and has 14 brands in its portfolio. The company is committed to sustainable mobility and has set ambitious targets for reducing its carbon footprint and increasing the share of electric vehicles in its sales.
