Battery State Estimation Senior SW Engineer

GM; Milford Charter Township (MI); Hybride; USD 110 000 - 150 000; Plein temps

Résumé du poste

General Motors is looking for a battery systems software engineer to design, develop, and productionize state estimation algorithms for SOC, SOH, and SOP across multiple chemistries. You will implement observers and filters in production‑quality embedded software using C/C++ and align with GM safety and cybersecurity standards.

The role requires a bachelor’s degree in engineering and about five years’ related experience, plus up to 10% travel. Hybrid work: 3 days in‑office, 2 days remote.

Qualifications

• Bachelor's degree in Mechanical, Electrical, Chemical, Computer Engineering or related field.
• 5 years of experience as Software Engineer, Design Engineer, Automotive Engineer, or related occupation.
• 2 years of experience delivering embedded software for high voltage battery systems and SOC/SOH/SOP estimation.
• Experience with C/C++ for embedded systems development.
• Experience with Agile/Scrum in cross-functional automotive programs.
• Ability to leverage Battery Data to improve battery performance, reliability, and lifecycle.

Responsabilités

• Design, develop, and productionize robust battery state estimation algorithms for SOC, SOH, and SOP across chemistries.
• Develop observers and filters (e.g., Kalman filters) and models across chemistries and pack architectures.
• Produce production-quality embedded software in C/C++ meeting GM safety, cybersecurity, and MISRA standards.
• 10% domestic travel required.
• Hybrid Work Policy - 3 days In-office, 2 days remote - Must be able to report to local office.

Connaissances

C/C++

Embedded systems

Agile/Scrum

Battery data insights

Formation

Bachelor's degree in Mechanical Engineering

Bachelor's degree in Electrical Engineering

Bachelor's degree in Chemical Engineering

Bachelor's degree in Computer Engineering

Related field

Outils

Kalman filter

MISRA compliance

Description du poste

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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