Principal BMS AI Algorithm Developer (Embedded Edge AI)

TL;DR

Principal BMS AI Algorithm Developer (Embedded Edge AI): Leading the design and deployment of diagnostic and prognostic algorithms for next-generation Battery Management Systems with an accent on edge-based intelligence and electrochemical modeling. Focus on developing real-time SoC, SoH, and SoP estimation, optimizing models for resource-constrained automotive MCUs, and ensuring ISO 26262 compliance.

Location: Munich, Germany

Company

World leader in secure connectivity solutions for embedded applications, serving automotive, industrial, and IoT markets.

What you will do

• 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), and safety predictions.
• Deploy and optimize models on NXP S32K/S32G platforms using C/C++ and AUTOSAR.
• Utilize NXP eIQ AI/ML tools to implement quantization, pruning, and efficient inference on automotive MCUs.
• Ensure strict compliance with ISO 26262 and automotive OEM standards.

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 and electrochemical behavior.
• Hands-on proficiency with MATLAB, Simulink, and Python.
• Experience deploying algorithms on embedded systems using C/C++ and AUTOSAR.
• Strong understanding of real-time, resource-constrained systems and state estimation.

Nice to have

• Experience with the NXP AI toolchain, specifically the eIQ Machine Learning Software Development Environment.
• Proficiency with AI frameworks such as TensorFlow or PyTorch.
• Expertise in Electrochemical Impedance Spectroscopy (EIS).

Culture & Benefits

• Access to comprehensive online and offline learning opportunities for professional skill development.
• Inclusive work environment with a strong commitment to diversity, equality, and non-discrimination.
• Career growth opportunities within a global leader in secure connectivity.
• Commitment to sustainability and measurable year-on-year environmental progress.