Principal BMS AI Algorithm Developer - Battery Management Systems / Embedded AI / Automotive /[...]

Principal BMS AI Algorithm Developer - Battery Management Systems / Embedded AI / Automotive / Edge AI

We are currently partnered with a leading automotive technology organisation developing next-generation intelligent Battery Management Systems (BMS) for advanced electric vehicle platforms. As part of their continued investment in AI-driven battery technologies, they are looking to hire a Principal BMS AI Algorithm Developer to lead the design and deployment of advanced embedded AI algorithms for battery diagnostics, prognostics, and safety-critical applications.

This is a principal-level technical leadership role focused on combining battery science, embedded systems, artificial intelligence, and automotive software to deliver real-time battery intelligence on resource-constrained embedded platforms.

Key responsibilities

• Lead the design, development, and deployment of advanced AI-driven diagnostic and prognostic algorithms for embedded Battery Management Systems (BMS).
• Architect hybrid algorithmic solutions combining electrochemical battery models, impedance diagnostics, and machine learning techniques.
• Develop real-time embedded algorithms for State of Charge (SoC), State of Health (SoH), State of Power (SoP), battery degradation modelling, fault detection, and anomaly diagnosis.
• Design predictive algorithms capable of identifying safety-critical events, including early indicators of thermal runaway and battery failures.
• Apply Electrochemical Impedance Spectroscopy (EIS) techniques to enhance battery diagnostics and health estimation.
• Develop, simulate, and validate battery algorithms using MATLAB, Simulink, and Python.
• Deploy and optimise AI models for embedded automotive platforms using C/C++, AUTOSAR, and embedded software frameworks.

Key requirements

• Master's or PhD in Electrical Engineering, Electrochemistry, Computer Science, or a related engineering discipline.
• Extensive commercial experience developing Battery Management Systems (BMS) within the automotive industry.
• Strong expertise in battery cell chemistry, electrochemical behaviour, and battery degradation mechanisms.
• Proven experience developing battery estimation algorithms, including State of Charge (SoC), State of Health (SoH), State of Power (SoP), degradation modelling, and fault diagnostics.
• Hands-on experience with Electrochemical Impedance Spectroscopy (EIS) and advanced battery diagnostic techniques.

Keywords

Principal BMS AI Algorithm Developer / Battery Management Systems / BMS / Battery Algorithms / Embedded AI / Edge AI / Machine Learning / Artificial Intelligence / Automotive Engineering / Electric Vehicles / EV / Battery Cell Chemistry / Electrochemical Modelling / Electrochemical Impedance Spectroscopy / EIS / State of Charge / SoC / State of Health / SoH / State of Power / SoP / Battery Diagnostics / Battery Prognostics / Thermal Runaway Prediction / MATLAB / Simulink / Python / Embedded Systems / C++ / C / AUTOSAR / NXP eIQ / S32K / S32G / TensorFlow / PyTorch / Functional Safety / ISO 26262 / Automotive Software / Real-Time Systems