Principal BMS AI Algorithm Developer (Embedded Edge AI)

• 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.

Do you have a Master's degree?, * 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 development:

• SoC / SoH / SoP estimation
• Degradation modeling
• Fault diagnostics & safety prediction

• Hands-on experience with:

• MATLAB, Simulink, Python
• Electrochemical Impedance Spectroscopy (EIS)

• Experience deploying algorithms on embedded systems (C/C++, AUTOSAR).
• Hands-on experience with NXP AI toolchain, including:

• eIQ Machine Learning Software Development Environment
• Deployment on NXP S32K / S32G platforms or similar automotive MCUs

• Expertise in state estimation and mathematical modeling techniques.
• Strong understanding of real-time and resource-constrained systems.

Leadership & Principal-Level Expectations

• Define technical roadmap for AI-driven BMS systems.
• Act as SME (Subject Matter Expert) in battery algorithms, impedance diagnostics, and embedded AI.
• Drive innovation in intelligent BMS features.
• Mentor cross-functional teams., * Battery cell chemistry & electrochemical modeling
• Electrochemical impedance spectroscopy (EIS)
• MATLAB, Simulink, Python
• Embedded AI / Edge ML
• NXP eIQ AI tools & automotive MCU platforms (S32K/S32G)
• AI frameworks (TensorFlow, PyTorch, etc..)
• Real-time systems & optimization
• Safety-critical automotive systems