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# Principal BMS AI Algorithm Developer (Embedded Edge AI)

- **Company:** NXP Semiconductors Germany GmbH
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, AUTomotive Open System Architecture (AUTOSAR), C++ (Programming Language), Integrated Development Environments, Python (Programming Language), MATLAB, Machine Learning, Tensorflow, Simulink, Toolchain, Real Time Systems, Pytorch, Information Technology, Machine Learning Operations
- **Published:** August 30, 2026
- **Apply:** https://nxp.wd3.myworkdayjobs.com/careers/job/Munich/Principal-BMS-AI-Algorithm-Developer--Embedded-Edge-AI---f-m-d-_R-10062850

## About the Role

* 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

## Description

* 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.


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