Battery State Estimation Senior SW Engineer

General Motors LLC; Brighton Charter Township (MI); Hybrid; USD 110,000 - 160,000; Full time

Job summary

General Motors LLC is seeking a talented engineer to design and productionize battery state estimation for SOC, SOH, and SOP across multiple chemistries.

You will develop robust observers/filters, including Kalman-based approaches, and translate them into production-quality embedded software in C/C++ while meeting safety and cybersecurity standards. Travel up to 10% domestically in a hybrid in-office/remote setup.

Qualifications

• Bachelor's degree in engineering or related field and 5+ years in software or automotive engineering.
• Experience delivering embedded software for high voltage battery systems and SOC/SOH/SOP estimation.
• Proficient in C/C++ for embedded systems and Agile/Scrum environments.

Responsibilities

• Design, develop, and productionize battery state estimation algorithms for SOC, SOH, SOP across multiple chemistries.
• Develop observers and filters including Kalman-based approaches; ensure accuracy across temperature, transients, aging.
• Implement production-quality embedded software in C/C++ meeting GM standards (MISRA compliance).
• Travel up to 10% domestically and collaborate in a hybrid in-office/remote environment.

Skills

Battery estimation algorithms

Embedded software development

C/C++

Kalman filter

Agile/Scrum

Education

Bachelor's degree in Mechanical Engineering

Bachelor's degree in Electrical Engineering

Bachelor's degree in Chemical Engineering

Bachelor's degree in Computer Engineering

Job description

Job Description DUTIES

Design, develop, and productionize robust battery state estimation algorithms for SOC, SOH, and SOP using physicsbased, modelbased, and hybrid datadriven estimation techniques across multiple battery chemistries. 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. 10% domestic travel required. Hybrid Work Policy - 3 days In-office, 2 days remote - Must be able to report to local office.

REQUIREMENTS

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, Computer Engineering, or related field of study and Five (5) years of experience as a Software Engineer, Design Engineer, Automotive Engineer, or related occupation.
• Two (2) years of experience with: Delivering embedded software for high voltage battery systems; SOC, SOH, and SOP estimation algorithms deployed in vehicles; C/C++ for embeddedsystems development; Agile/Scrum environments and cross functional automotive programs; and Leveraging Battery Data to generate actionable insights that improve batteryperformance, reliability, and lifecycle characteristics.

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