Nxp
Automotive
PrincipalBMSAIAlgorithmDeveloper(EmbeddedEdgeAI)(f/m/d)
Neural analysis suggests this role is
optimal for Principal candidates.
“Principal BMS AI Algorithm Developer (Embedded Edge AI) (f/m/d) at Nxp. Skills: BMS AI Algorithm Development, Embedded Edge AI, Battery Cell Chemistry, Electrochemical Modeling. Lead design and development of AI algorithms. Architect hybrid models”
What You'll Achieve.
Enable real-time monitoring of battery health; Prediction of safety-critical events
Industry & Context.
Diagnostic and prognostic algorithms; Fault detection; Anomaly diagnosis; Safety prediction
What They're Looking For.
Must Have
Master’s or PhD in Electrical Engineering, Electrochemistry, Computer Science, or related field, 10+ years of experience in BMS or battery systems, Deep expertise in battery cell chemistry and electrochemical behavior, Proven experience in battery algorithm development, SoC / SoH / SoP estimation, Degradation modeling, Fault diagnostics & safety prediction, Hands-on experience with MATLAB, Simulink, Python, Hands-on experience with Electrochemical Impedance Spectroscopy (EIS), Experience deploying algorithms on embedded systems (C/C++, AUTOSAR), Hands-on experience with NXP AI toolchain, eIQ Machine Learning Software Development Environment, Deployment on NXP S32K / S32G platforms or similar automotive MCUs, Expertise in state estimation and mathematical modeling techniques, understanding of real-time and resource-constrained systems
Nice to Have
Automotive OEM / Tier-1 preferred
What You'll Do.
Lead design and development of AI algorithms
Architect hybrid models
Develop real-time algorithms
Leverage EIS for diagnostics
Develop and validate algorithms
Deploy and optimize models
Apply edge AI optimization
Ensure ISO 26262 compliance
How You'll Work.
Team & Collaboration
Collaborate across System, hardware, software, and Validation teams; Mentor cross-functional teams
Process & Methodology
Define technical roadmap
Full 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 and validate algorithms using MATLAB, Simulink, and Python. * Deploy and optimize models on embedded platforms (C/C++, AUTOSAR). * Utilize NXP eIQ AI/ML tools and embedded SDKs for deployment on automotive microcontrollers. * Apply edge AI optimization techniques (quantization, pruning, efficient inference). * Ensure compliance with ISO 26262 and automotive OEM standards. * Collaborate across System, hardware, software, and Validation teams. **Required Qualifications** * Master’s or PhD in Electrical Engineering, Electrochemistry, Computer Science, or related field. * 10+ years of experience in BMS or battery systems (Automotive OEM / Tier-1 preferred). * Deep expertise in battery cell chemistry and electrochemical behavior. * Proven experience in battery algorithm devel
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