Senior Software Engineer - Battery State Estimation - General Motors (GM)

Job Description

Work Classification:

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Milford Proving Ground in Milford, MI three times per week, at minimum.

The Role:

General Motors is undergoing a major transformation in how we design vehicles, deliver customer value, and scale electric mobility. As we move toward a fully Software‑Defined Vehicle (SDV) architecture, core battery software capabilities such as Battery State Estimation have become foundational to safety, performance, and customer trust. Our Battery & High Voltage Software organization is at the forefront of this transformation, developing production‑grade software that powers millions of vehicles and continues improving through data‑driven insights and over‑the‑air updates. We are currently seeking experienced and highly motivated candidates for the role of Senior Software Engineer – Battery State Estimation. This role is responsible for the design, implementation, verification, and lifecycle evolution of State‑of‑Charge (SOC), State‑of‑Health (SOH), and State‑of‑Power (SOP) estimation algorithms for GM’s next‑generation high‑voltage battery platforms. The position requires deep technical ownership across algorithm development, embedded software implementation, and system‑level validation in virtual and physical environments. This role is ideal for engineers who have delivered estimation algorithms into production vehicles and are ready to lead within an SDV, virtual‑validation‑first development model. In this position, you will own outcomes end‑to‑end—from concept through production deployment and continuous improvement. You will be empowered to shape technical direction, influence development processes, and raise the quality bar across estimation software by leveraging model‑based design, early virtualization, and automation. Your work will directly impact range accuracy, fast‑charge behavior, battery longevity, safety margins, and vehicle performance—attributes that define the EV customer experience and GM’s competitiveness in the market.

What You’ll Do:

Design, develop, and productionize robust battery state estimation algorithms for SOC, SOH, and SOP using physics‑based, model‑based, and hybrid data‑driven estimation techniques.

Develop observers and filters (e.g., equivalent‑circuit and electrochemical‑informed models, Kalman‑filter‑based approaches) that remain accurate across temperature extremes, power transients, sensor noise, and battery aging.

Incorporate calendar and cycle aging effects into estimation logic so outputs remain truthful throughout the battery lifecycle and across chemistries and pack architectures.

Implement estimation algorithms as production‑quality embedded software in C/C++, meeting GM standards for safety, cybersecurity, and coding discipline, including MISRA compliance.