Huawei Research Center Germany & Austria
Vehicle Dynamics Controls Principal(m/w/x)
Vollzeitnur vor OrtSenior
München
Neuer Job?Nejo!
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DEDE63 NXP Semiconductors Germany GmbH
Principal BMS AI Algorithm Developer (Embedded Edge AI)(m/w/x)
München
VollzeitVor OrtSenior
AI/ML
Nejo KI-Zusammenfassung
Designing AI-driven diagnostic and prognostic algorithms for embedded BMS platforms, architecting hybrid models combining cell chemistry and AI/ML. 10+ years of battery systems experience required. Real-time SoC, SoH, and SoP algorithm development.
Anforderungen
- 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, and 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
- Strong understanding of real-time and resource-constrained systems
- 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
Aufgaben
- Lead 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)
- Develop real-time algorithms for State of Health (SoH)
- Develop real-time algorithms for State of Power (SoP)
- Develop real-time algorithms for fault detection and anomaly diagnosis
- Develop real-time algorithms for 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
- Define technical roadmap for AI-driven BMS systems
- Act as SME in battery algorithms, impedance diagnostics, and embedded AI
- Drive innovation in intelligent BMS features
- Mentor cross-functional teams
Berufserfahrung
- 10 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- MATLAB
- Simulink
- Python
- Electrochemical Impedance Spectroscopy (EIS)
- C/C++
- AUTOSAR
- NXP AI toolchain
- eIQ Machine Learning Software Development Environment
- NXP S32K / S32G platforms
- automotive MCUs
- TensorFlow
- PyTorch
- Embedded AI
- Edge ML
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens DE63 NXP Semiconductors Germany GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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DEDE63 NXP Semiconductors Germany GmbH
Principal BMS AI Algorithm Developer (Embedded Edge AI)(m/w/x)
München
VollzeitVor OrtSenior
AI/ML
Nejo KI-Zusammenfassung
Designing AI-driven diagnostic and prognostic algorithms for embedded BMS platforms, architecting hybrid models combining cell chemistry and AI/ML. 10+ years of battery systems experience required. Real-time SoC, SoH, and SoP algorithm development.
Anforderungen
- 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, and 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
- Strong understanding of real-time and resource-constrained systems
- 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
Aufgaben
- Lead 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)
- Develop real-time algorithms for State of Health (SoH)
- Develop real-time algorithms for State of Power (SoP)
- Develop real-time algorithms for fault detection and anomaly diagnosis
- Develop real-time algorithms for 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
- Define technical roadmap for AI-driven BMS systems
- Act as SME in battery algorithms, impedance diagnostics, and embedded AI
- Drive innovation in intelligent BMS features
- Mentor cross-functional teams
Berufserfahrung
- 10 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- MATLAB
- Simulink
- Python
- Electrochemical Impedance Spectroscopy (EIS)
- C/C++
- AUTOSAR
- NXP AI toolchain
- eIQ Machine Learning Software Development Environment
- NXP S32K / S32G platforms
- automotive MCUs
- TensorFlow
- PyTorch
- Embedded AI
- Edge ML
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens DE63 NXP Semiconductors Germany GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
DE63 NXP Semiconductors Germany GmbH
Branche
Automotive
Beschreibung
The company is a leading semiconductor company.
Noch nicht perfekt?
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