Senior Software Engineer – Battery State Estimation

General Motors

. Design, develop, and productionize battery state estimation algorithms for SOC, SOH, and SOP .

Posted 10/23/2026full-timeMilford • Michigan • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and productionizing battery state estimation algorithms, with strong proficiency in C/C++ and MATLAB/Simulink for embedded systems. Capable of leading cross-functional teams in high-voltage battery systems development while ensuring compliance with safety and coding standards.

Highest-signal resume keywords

C/C++ Embedded Software DevelopmentBattery State Estimation AlgorithmsModel-Based DevelopmentMIL, SIL, HIL VerificationAgile/Scrum Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Battery State EstimationC/C++ ProgrammingMATLAB/SimulinkPython ProgrammingKalman Filter TechniquesObserver DesignEmbedded Systems DevelopmentBattery Data AnalysisSoftware VerificationFault-Injection Testing

Soft Skills

Technical OwnershipMentoringCollaborationProblem-SolvingAdaptability

Tools & Technologies

ETAS INCACI/CD PipelinesCalibration ToolsSoftware-Defined Vehicle ArchitecturesAutomated Testing Frameworks

Industry Keywords

High-Voltage Battery SystemsLithium-Ion ChemistriesBattery PerformanceCycle Aging EffectsCross-Functional Engineering

Tech Stack

Tools & technologies

Cyber SecurityPythonC++

About the role

Key responsibilities & impact

Design, develop, and productionize battery state estimation algorithms for SOC, SOH, and SOP
Develop observers and filters, including equivalent-circuit, electrochemical-informed, and Kalman-filter-based approaches
Incorporate calendar and cycle aging effects into estimation logic across battery lifecycles, chemistries, and pack architectures
Implement production-quality embedded software in C/C++ meeting GM safety, cybersecurity, coding, and MISRA standards
Architect modular, portable software with hardware abstraction for reuse across vehicle programs and evolving E/E architectures
Define and advocate calibration strategies and model-based approaches
Lead shift-left verification, root-cause analysis, and validation through MIL, SIL, and HIL environments
Develop automated regression, robustness, and fault-injection test suites integrated into CI pipelines
Collaborate with Cell and Pack Engineering, Systems & Functional Safety, Validation, Calibration, Vehicle Performance, SDV Platform, and Research & Development teams
Mentor and guide engineers and contribute to technical planning
Evolve GM’s battery estimation architecture as a scalable SDV service
Own deliverables end-to-end and continuously improve technical rigor, development efficiency, and software quality

Requirements

What you’ll need

Bachelor’s degree in Electrical, Mechanical, Chemical, or Computer Engineering, or Computer Science
Minimum 5 years of experience delivering embedded software for high-voltage battery systems or similar complex engineering systems
Strong proficiency in C/C++ for embedded systems development
Hands-on production experience with SOC, SOH, and/or SOP estimation algorithms deployed in vehicles
Strong proficiency in MATLAB/Simulink and Python, with hands-on experience in modeling, analysis, automation, and Model-Based Development workflows
Experience executing software and controls feature verification in MIL, SIL, and HIL environments
Experience working in Agile/Scrum environments and cross-functional automotive programs
Ability to operate effectively in ambiguous, fast-paced SDV development contexts with technical ownership and accountability
Experience leveraging Battery Data to generate actionable insights that improve battery performance, reliability, and lifecycle characteristics
Preferred: Master’s or PhD degree in Engineering or Computer Science
Preferred: Deep expertise in battery modeling and estimation techniques, including observer design and Kalman filter-based approaches
Preferred: 8+ years of experience delivering embedded software for high-voltage battery systems or similar complex engineering systems
Preferred: Hands-on experience with battery cell characterization, pack testing, and lab-based validation
Preferred: Familiarity with lithium-ion chemistries such as LFP and high-nickel NMC/LMR and associated aging mechanisms
Preferred: Experience with ETAS INCA, MDA, or similar calibration and measurement tools
Preferred: Experience working within Software-Defined Vehicle architectures and CI/CD-based software delivery pipelines

Benefits

Comp & perks

Relocation benefits are available for candidates who qualify under company policy
GM benefits supporting well-being at work and at home
Reasonable accommodations for applicants with disabilities