Technical Specialist, Battery Algorithms and Digital Twin, Ford Energy

Ford Energy is seeking a Technical Specialist to own the battery intelligence stack for our BESS products: the state estimation, diagnostics, prognostics, and digital twin capabilities that determine how safely, reliably, and profitably a storage system performs over a life of 20+ years.

This role is for someone who has already shipped battery algorithms and wants to do it again at the start of a new product line. You will set the technical direction and stay hands-on, building, validating, and deploying algorithms that run on production BMS hardware and in the cloud, from cell to pack to container.

Responsibilities:

• Lead battery intelligence development across the BESS architecture, and engage Pack, Container, PCS, DC Block, AC, and Controls teams as program needs require.
• Define requirements for monitoring, diagnostics, prognostics, and digital twins, including accuracy, latency, compute, memory, data-rate, and sensor needs, and set the interfaces between the algorithm stack and BMS, EMS, and cloud platforms.
• Translate battery physics, degradation mechanisms, and operational requirements into implementable software and control strategies.
• Build hybrid (physics-based and data-driven) digital twins at cell, pack, and container levels, working with Battery Modeling to turn electrochemical, thermal, and degradation models into reduced-order forms suited to embedded execution.
• Design, develop, and deploy algorithms for:
• SOC, including approaches that work with flat-OCV chemistries such as LFP
• SOH, capacity and resistance tracking, and state of power
• Thermal state estimation
• RUL and degradation prediction, covering calendar and cycle aging
• Cell imbalance, anomaly, and fault detection, including early indicators of safety events
• Link lab testing, validation, and field monitoring into one workflow, and quantify uncertainty with explicit error and confidence targets.
• Lead technical reviews, architecture decisions, and deployment strategy; align modeling, hardware, controls, and software organizations around them.
• Adapt algorithms, monitoring approaches, and validation methods from Ford's Auto battery teams to BESS needs, and share what you learn back.
• Mentor engineers across modeling, controls, and software, and help shape the battery intelligence team as it grows.

Qualifications:

• 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), meaning code or models that ran on real hardware or in a live fleet, not only in simulation.
• Working knowledge of equivalent-circuit models and Kalman-family observers, and familiarity with reduced-order electrochemical or semi-empirical aging models.
• Solid understanding of Li-ion physics: electrochemistry, thermal behavior, and aging mechanisms (e.g., SEI growth, lithium plating, loss of active material).
• Proficiency in Python and MATLAB/Simulink, with working familiarity in C/C++ or another production language.
• Experience calibrating and validating models against cycling, characterization, and ideally field data, including quantifying estimation error.
• Technical leadership across functions without formal authority, and the ability to present trade-offs clearly to executives and non-specialists.

Benefits:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.