State Estimation Jobs in Michigan (NOW HIRING)

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 SoftwareDefined 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 productiongrade software that powers millions of vehicles and continues improving through datadriven insights and overtheair 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 StateofCharge (SOC), StateofHealth (SOH), and StateofPower (SOP) estimation algorithms for GM's nextgeneration highvoltage battery platforms. The position requires deep technical ownership across algorithm development, embedded software implementation, and systemlevel 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, virtualvalidationfirst development model.
In this position, you will own outcomes endtoend-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 modelbased design, early virtualization, and automation. Your work will directly impact range accuracy, fastcharge 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 physicsbased, modelbased, and hybrid datadriven estimation techniques.

• Develop observers and filters (e.g., equivalentcircuit and electrochemicalinformed models, Kalmanfilterbased 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 productionquality 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 modelbased approaches that reduce complexity while improving robustness and longterm maintainability.

• Lead shiftleft 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 faultinjection test suites integrated into CI pipelines to enforce builtin quality throughout development.

• Collaborate crossfunctionally 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 endtoend 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.

• Minimum 5 years of experience delivering embedded software for highvoltage battery systems or similar complex engineering systems.

• Strong proficiency in C/C++ for embedded systems development.

• Demonstrated handson 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 (MBD) workflows.

• Demonstrated success executing software and controls feature verification in MIL, SIL, and HIL environments.

• Experience working in Agile/Scrum environments and crossfunctional automotive programs.

• Proven ability to operate effectively in ambiguous, fastpaced 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.

• Deep expertise in battery modeling and estimation techniques, including observer design and Kalman filter-based approaches.

• 8+ years of experience delivering embedded software for highvoltage battery systems or similar complex engineering systems.

• Handson experience with battery cell characterization, pack testing, and labbased validation.

• Familiarity with lithiumion chemistries such as LFP and highnickel NMC/LMR and associated aging mechanisms.

• Experience with ETAS INCA, MDA, or similar calibration and measurement tools.

• Experience working within SoftwareDefined Vehicle (SDV) architectures and CI/CDbased software delivery pipelines.

About GM

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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