Job Description
Work Classification:
Hybrid: This means the successful candidate is expected to report to their primary location (Milford, MI) three times per week, at minimum, or other frequency dictated by the business.
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 .
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.
Your Skills & Abilities (Required Qualifications):
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.
What Will Give You a Competitive Edge (Preferred Qualifications):
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 .
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.
Relocation:
This job may be eligible for relocation benefits.
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