# Technical Specialist, Battery Algorithms and Digital Twin, Ford Energy **Company**: Ford Energy **Location**: Dearborn, MI **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $115,500-$218,100 **Category**: Engineering **Industry**: Automotive **Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/72492?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_9e4b3696-d6a ## Description 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. ## Skills ### Required - battery algorithms - digital twin - state estimation - diagnostics - prognostics - Python - MATLAB/Simulink - C/C++ ### Nice to have - PhD in a battery-relevant discipline - publication/patent record in state estimation, aging, or controls - algorithms running in a deployed fleet - stationary storage and LFP experience - model-based design - auto-code generation - SIL/HIL validation of BMS software --- Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/72492?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)