Technical Specialist, Battery Algorithms and Digital Twin, Ford Energy
Core
Own the battery intelligence stack for grid-scale BESS products, including state estimation, diagnostics, prognostics, and digital twin capabilities.
Role type
Senior IC battery algorithms and digital twin specialist
Builds
Production-grade battery management algorithms and digital twin architectures for stationary energy storage systems
Domain
Energy storage / Battery systems / Electrical Engineering
Deliverable
production ML models
Required skills
State estimation (SOC/SOH), Digital twin architecture, Prognostics (RUL), Fault detection, Physics-based modeling, Data-driven modeling, Model validation, Technical leadership
Preferred skills
PhD in battery-relevant discipline, Machine learning for SOH/RUL, Time-series data platforms, BESS safety standards knowledge, OEM battery organization experience
Technologies
Python, MATLAB/Simulink, C/C++, Kalman-family observers, Equivalent-circuit models, Reduced-order electrochemical models
Responsibilities
Lead battery intelligence development across BESS architecture; Define requirements for monitoring, diagnostics, and digital twins; Translate battery physics into implementable software and control strategies; Build hybrid digital twins at cell, pack, and container levels; Design, develop, and deploy algorithms for SOC, SOH, thermal state, RUL, and fault detection; Mentor engineers across modeling, controls, and software
Seniority
Senior, hands-on IC
