Principal BMS AI Algorithm Developer (Embedded Edge AI) (f/m/d)
Core
Design and deploy advanced diagnostic and prognostic AI algorithms for next-generation Battery Management Systems (BMS) running on embedded automotive hardware.
Role type
Principal BMS AI Algorithm Developer (Embedded Edge AI)
Builds
Real-time embedded BMS platforms with AI-driven diagnostics and safety predictions for automotive OEMs.
Domain
Automotive battery systems and embedded edge AI
Deliverable
production ML models
Required skills
Battery cell chemistry, electrochemical modeling, electrochemical impedance spectroscopy (EIS), state estimation, real-time systems, embedded AI optimization, C/C++, AUTOSAR, NXP eIQ toolchain, MATLAB, Simulink, Python
Preferred skills
TensorFlow, PyTorch, ISO 26262 compliance, thermal runaway prediction
Technologies
NXP S32K/S32G microcontrollers, MATLAB, Simulink, Python, C/C++, AUTOSAR, TensorFlow, PyTorch
Responsibilities
Lead design of AI-driven diagnostic and prognostic algorithms; Architect hybrid models combining chemistry and AI/ML; Develop real-time algorithms for SoC, SoH, SoP, fault detection, and safety prediction; Deploy and optimize models on embedded platforms; Ensure compliance with ISO 26262; Mentor cross-functional teams.
Seniority
Principal, hands-on IC with strategy & mentorship