Principal BMS AI Algorithm Developer (Embedded Edge AI) (f/m/d)

Job description

We are seeking a highly experienced Principal BMS AI Algorithm Developer to lead the design and deployment of advanced diagnostic and prognostic algorithms for next‑generation Battery Management Systems (BMS) within an automotive OEM environment. This role focuses on edge-based intelligence, where algorithms run directly on embedded BMS hardware, operating under strict constraints on latency, compute, memory, and functional safety. You will drive innovation at the intersection of battery cell chemistry, electrochemical modeling, impedance-based diagnostics, embedded systems, and AI/ML, enabling real-time monitoring of battery health and prediction of safety-critical events. Key Responsibilities: Lead the design and development of AI-driven diagnostic and prognostic algorithms for embedded BMS platforms. Architect hybrid models combining battery cell chemistry, impedance diagnostics, and AI/ML approaches. Develop real-time algorithms for: State of Charge (SoC) State of Health (SoH): State of Power (SoP): Fault detection and anomaly diagnosis: Safety prediction (e.g., thermal runaway precursors) Leverage electrochemical impedance spectroscopy (EIS) for advanced diagnostics. Develop a...