Lead Battery Intelligence Engineer — Digital Twin

Ford; Dearborn (MI); Híbrido; USD 116.000 - 218.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Vehicle discount program

Tuition assistance

Paid time off

Descripción de la vacante

Ford Energy in Dearborn, MI seeks a Technical Specialist to own the battery intelligence stack for BESS products. You will lead state estimation, diagnostics, prognostics, and digital twins from cell to container, working with BMS, EMS, and Digital Services teams.

You will set technical direction, stay hands-on, and deploy algorithms on production hardware and cloud. Strong emphasis on architecture, data, validation, and cross-functional leadership.

Formación

• Master's degree with 8+ years of experience, or PhD with 5+ years, in Electrical, Mechanical, Chemical, or Controls Engineering, Materials Science, or a related field.
• Hands-on experience developing and deploying battery algorithms on production systems (vehicle, stationary storage, or consumer device).
• Working knowledge of equivalent-circuit models and Kalman-family observers; familiarity with reduced-order electrochemical or semi-empirical aging models.
• Solid understanding of Li-ion physics and aging mechanisms.
• Experience calibrating and validating models against cycling, characterization, and field data.

Responsabilidades

• Lead battery intelligence development across the BESS architecture, engaging multiple teams as needed.
• Define requirements for monitoring, diagnostics, prognostics, and digital twins; set interfaces with BMS, EMS, and cloud platforms.
• Translate battery physics and degradation mechanisms into implementable software and control strategies.
• Build hybrid physics-based and data-driven digital twins at cell, pack, and container levels.
• Design, develop and deploy SOC, SOH, thermal state estimation, RUL and degradation models.
• Lead technical reviews, architecture decisions, and deployment strategies; align multiple functions.

Conocimientos

Battery algorithms

Python

MATLAB/Simulink

C/C++

Kalman observers

Digital twins

Edge-to-cloud

Educación

Master's degree + 8+ years OR PhD + 5+ years in Engineering/Materials Science

Herramientas

MATLAB/Simulink

Python

C/C++

Descripción del empleo

Ford Energy in Dearborn, MI seeks a Technical Specialist to own the battery intelligence stack for BESS products. You will lead state estimation, diagnostics, prognostics, and digital twins from cell to container, working with BMS, EMS, and Digital Services teams.

You will set technical direction, stay hands-on, and deploy algorithms on production hardware and cloud. Strong emphasis on architecture, data, validation, and cross-functional leadership.