Technical Specialist - Battery State Estimation

General Motors•Milford, MI

1d•Hybrid

About The Position

General Motors is seeking a Technical Specialist (TS) to lead Battery State Estimation for high-voltage battery systems. This role will shape and deliver the algorithms, software, battery data analytics, and technical direction behind state of charge, state of health, state of power, and related battery capabilities across GM’s electric vehicle portfolio. Battery State Estimation is central to customer experience and vehicle performance. The work in this role directly influences range accuracy, charging behavior, battery durability, safety margin management, and the broader transition to software-defined vehicles. As a Technical Specialist, you will provide technical leadership across algorithm development, embedded software, validation, and cross-functional delivery. You will help turn complex battery behavior into robust, production-ready solutions that scale across chemistries, battery systems, and vehicle programs. The Technical Specialist will help drive how battery data is collected, structured, analyzed, and used through the battery data pipeline to improve algorithm quality, accelerate virtual validation, strengthen in-field learning, and support better engineering decisions across the battery organization and help ensure Battery State Estimation is ready for Software Defined Vehicle architectures by enabling scalable services, better observability, and faster learning through virtual and data-driven development. The Technical Specialist (TS) works in close collaboration with fellow Technical Specialists across the same technical domain (e.g., calibration or software) and interfaces regularly with the Global Technical Specialist (GTS) for Battery State Estimation. The GTS serves as the enterprise technical authority and long-term domain leader. Technical Specialists are expected to represent their respective areas of responsibility in cross-functional workgroups, ensuring alignment and comprehensive coverage across the Battery State Estimation domain.

Requirements

Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Computer Engineering, Computer Science, Controls, Systems Engineering, Data Science, or a related technical field.
5+ years in embedded controls software, battery management systems, high-voltage battery systems, advanced state-estimation development, or battery analytics.
Strong technical depth in one or more of the following: state of charge estimation, state of health estimation, state of power estimation, battery modeling, observer-based estimation, diagnostics strategy, calibration strategy and battery data analytics.
Strong proficiency in C or C++ for embedded software development.
Demonstrated ability to lead technical problem solving across development, validation, vehicle integration, and data-analysis environments.
Strong collaboration and communication skills, with the ability to influence across organizations and disciplines.

Nice To Haves

Master’s degree or PhD in a relevant engineering or technical field.
8+ years in embedded controls software, battery management systems, high-voltage battery systems, advanced state-estimation development, or battery analytics.
Experience with MATLAB, Simulink, and Python for modeling, controls development, automation, data analysis, or test development.
Experience with model-based development, automated testing, and CI/CD-based software delivery.
Experience working with battery data pipelines, large-scale engineering data sets, telemetry, or analytics workflows.
Familiarity with lithium-ion battery behavior across multiple chemistries, including LFP and LMR.
Familiarity with automotive communication protocols, controller software architecture, and software quality expectations for safety-critical systems.
Experience working in agile development environments and cross-functional product teams.

Responsibilities

Lead technical development of Battery State Estimation features for high-voltage battery systems, including state of charge, state of health, state of power, energy and capacity estimation, and related diagnostics.
Define and evolve technical approaches that are scalable, reusable, and hardware-agnostic across battery systems, vehicle programs, and future software architectures.
Build and execute technical plans that balance current production needs, launch readiness, and long-term capability development across multiple battery chemistries.
Lead resolution of complex issues observed in vehicles, benches, and development environments using rigorous, data-driven root cause analysis.
Drive battery data analytics to improve understanding of battery behavior, estimator performance, degradation trends, and field issues.
Help define and mature the battery data pipeline so that test, fleet, and virtual data can be efficiently collected, labeled, analyzed, and converted into actionable engineering insight.
Use the battery data pipeline to improve algorithm development, calibration decisions, validation coverage, virtual validation workflows, and regression confidence.
Partner with analytics, validation, calibration, systems, and battery engineering teams to build scalable data flows, meaningful KPIs, and high-value technical dashboards.
Develop and deliver high-quality embedded controls software using strong software design principles, traceability, and production-ready engineering practices.
Use automated testing in build environments, benches, virtual environments, and vehicles to verify functionality at the controller, system, and vehicle levels.
Apply model-based, virtual validation, and software-driven development approaches to improve built-in quality, robustness, and speed of learning.
Work effectively with software-defined vehicle and service-oriented architecture concepts to help create modular, maintainable, and future-ready solutions.
Partner closely with systems and safety, validation, calibration, electrical architecture, vehicle performance, and battery engineering teams to deliver robust battery behavior in production vehicles.
Develop, maintain, and continuously improve Software Execution Guidelines documentation, while supporting and reinforcing a requirements-first approach within the Battery State Estimation (BSE) domain.
Plan content, facilitate discussions, and distribute meeting minutes for recurring BSE Technical Workgroups and other relevant cross-functional forums.
Mentor engineers, guide technical reviews, and help strengthen engineering capability across the team.