Principal BMS AI Algorithm Developer

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 SoC, SoH, SoP, fault detection, and safety prediction
• Deploy and optimize models on embedded platforms using C/C++, AUTOSAR, and edge AI optimization techniques
• Utilize NXP eIQ AI/ML tools and embedded SDKs for deployment on automotive microcontrollers
• Ensure compliance with ISO 26262 and automotive OEM standards
• Define the technical roadmap for AI-driven BMS systems and mentor cross-functional teams

Requirements

• Master's or PhD in Electrical Engineering, Electrochemistry, Computer Science, or a related field
• 10+ years of experience in BMS or battery systems, preferably within Automotive OEM or Tier-1 environments
• Deep expertise in battery cell chemistry, electrochemical behavior, and electrochemical impedance spectroscopy (EIS)
• Proven experience in battery algorithm development, including degradation modeling and state estimation
• Proficiency in MATLAB, Simulink, and Python
• Experience deploying algorithms on embedded systems (C/C++, AUTOSAR)
• Hands-on experience with NXP AI toolchains, including eIQ and deployment on S32K or S32G platforms
• Strong understanding of real-time, resource-constrained, and safety-critical automotive systems

About the Company

NXP Semiconductors enables a smarter, safer, and more sustainable world through innovation. As a global leader in secure connectivity solutions for embedded applications, NXP pushes boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets.