Drive Quality Calibration Engineer: Toolbox & ML Tools

Jobtailor; Milford (MO); On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor seeks a seasoned engineer to lead toolbox-based workflows for transmission calibration. You will blend hands-on transmission work with MATLAB tool development, ML methods, and data-driven analysis to optimize shift characteristics and pedal maps across vehicle programs.

The role includes creating and maintaining DQDev features, supporting virtual calibration, and driving improvements in calibration workflows through collaboration with multiple engineering teams.

Qualifications

• Bachelor’s Degree in Engineering or related technical field.
• 5+ years of relevant experience in transmission development, calibration, or related driveline/vehicle controls domains.
• Demonstrated experience developing or using MATLAB-based toolchains for calibration, data analysis, model‑based development, or simulation workflow automation.
• Hands‑on experience creating calibration methods and initial transmission calibrations (e.g., 50% and 63% sets) for vehicle programs.
• Proficiency with simulation, test, and calibration tools such as MATLAB, INCA, and Excel‑based analysis tools.
• Understanding of transmission hardware, vehicle powertrain behavior, and controls integration, including shift quality and pedal map design.
• Proven ability to dissect, filter, and leverage test and dyno data to drive characterization, modeling, and calibration decisions.
• Experience developing, applying, or supporting machine learning methods and techniques for engineering analysis, modeling, simulation, optimization, or data‑driven decision‑making.
• Experience maintaining constraints, logic, and outputs within a structured toolbox environment (e.g., DQDev).
• Strong organizational and communication skills with demonstrated ability to lead cross‑functional discussions and prioritize tool development work.
• Interest in developing tools, models, and processes that improve organizational effectiveness, shorten development loops, and enhance drive quality.

Responsibilities

• Lead the development, enhancement, and deployment of toolbox-based workflows that enable high-quality transmission calibration.
• Combine hands‑on transmission experience with MATLAB‑based tool development, data‑driven methods, and ML techniques to optimize shift characteristics and pedal maps.
• Apply ML and advanced analytics to modeling and simulation workflows for virtual calibration and faster development loops.
• Develop and implement new features in the Drive Quality Development Toolbox, including transmission shift optimization and calibration workflows.
• Maintain and update existing DQDev features and data to support new programs.
• Develop and apply ML methods to modeling and simulation to support energy, propulsion and drive quality analysis.
• Create methods for characterizing transmission hardware using dynamometer cells for robust initial calibration sets.
• Support Calibration Loading, Parameter Management, and Drive Quality integration to broader simulation toolchain.
• Build and maintain data processing and analytics tools (MATLAB/Excel) to transform test data into calibration inputs.
• Develop surrogate or pattern-recognition approaches to improve model fidelity and reduce manual tuning.
• Lead roadmap and work-request meetings for DQDev enhancements and bug fixes.
• Support release planning and documentation for the Drive Quality Toolbox.
• Collaborate with Calibration, Drive Quality, Energy, Noise/Vibration, and modeling teams to align toolbox outputs with requirements.
• Troubleshoot and resolve user issues with DQDev; provide training and best practices as needed.

Skills

MATLAB

Data analysis

Machine learning

Calibration

Transmission

DV/DM tooling

Education

Bachelor’s Degree in Engineering or related technical field

Tools

INCA

Excel

Job description

Jobtailor seeks a seasoned engineer to lead toolbox-based workflows for transmission calibration. You will blend hands-on transmission work with MATLAB tool development, ML methods, and data-driven analysis to optimize shift characteristics and pedal maps across vehicle programs.

The role includes creating and maintaining DQDev features, supporting virtual calibration, and driving improvements in calibration workflows through collaboration with multiple engineering teams.