Senior Software Engineer - Battery State Estimation

General Motors • Milford, MI

10d • Hybrid

About The Position

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.

Requirements

• Bachelor’s degree in Electrical, Mechanical, Chemical, or Computer Engineering, or Computer Science.
• 5+ years of experience delivering embedded software for high‑voltage battery systems.
• Demonstrated hands‑on production experience with SOC, SOH, and/or SOP estimation algorithms deployed in vehicles.
• Strong proficiency in C/C++ for embedded systems development.
• Experience working in Agile/Scrum environments and cross‑functional automotive programs.
• Proven ability to operate effectively in ambiguous, fast‑paced SDV development contexts with strong technical ownership and accountability.
• Proven experience leveraging Battery Data to generate actionable insights that improve battery performance, reliability, and lifecycle characteristics.

Nice To Haves

• Master’s or PhD degree in Engineering or Computer Science.
• 8+ years of experience delivering embedded software for high‑voltage battery systems.
• Deep expertise in battery modeling and estimation techniques, including observer design and Kalman filter–based approaches.
• Strong proficiency in MATLAB/Simulink and Python for modeling, analysis, automation, and test development.
• Hands‑on experience with battery cell characterization, pack testing, and lab‑based validation.
• Familiarity with lithium‑ion chemistries such as LFP and high-nickel NMC/LMR and associated aging mechanisms.
• Experience with ETAS INCA, MDA, or similar calibration and measurement tools.
• Demonstrated success executing SOC/SOH/SOP verification in MIL, SIL, and HIL environments.
• Experience working within Software‑Defined Vehicle (SDV) architectures and CI/CD‑based software delivery pipelines.

Responsibilities

• 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.
• Architect software with a focus on modularity, portability, and hardware abstraction, enabling reuse across multiple vehicle programs and evolving E/E architectures.
• Define and advocate calibration strategies and model‑based approaches that reduce complexity while improving robustness and long‑term maintainability.
• Lead shift‑left verification, technical root-cause analysis and validation through MIL, SIL, and HIL test environments to enable early defect discovery and high validation coverage.
• Develop automated regression, robustness, and fault‑injection test suites integrated into CI pipelines to enforce built‑in quality throughout development.
• Collaborate cross‑functionally with Cell and Pack Engineering, Systems & Functional Safety, Validation, Calibration, Vehicle Performance, SDV Platform and Research & Development teams.
• Mentor and guide other engineers, contribute to technical planning events, and help evolve GM’s battery estimation architecture as a scalable SDV service.
• Own deliverables end‑to-end and continuously improving technical rigor, development efficiency, and software quality.

Benefits

• GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees