Principal BMS AI Algorithm Developer (Embedded Edge AI)

Формат работы

onsite

Тип работы

fulltime

Грейд

senior

Английский

Страна

Germany

Описание вакансии

Текст:

TL;DR

Principal BMS AI Algorithm Developer (Embedded Edge AI): Leading the design and deployment of advanced 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 algorithms for SoC, SoH, and safety-critical fault detection on automotive microcontrollers under strict functional safety constraints.

Location: Munich

Company

hirify.global is a global leader in secure connectivity solutions for embedded applications, driving innovation in the 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 SoC, SoH, SoP, and safety-critical fault detection.
Deploy and optimize models on embedded platforms using C/C++ and AUTOSAR.
Ensure compliance with ISO 26262 and automotive OEM standards.
Define technical roadmaps and mentor cross-functional teams as a subject matter expert.

Requirements

Master’s or PhD in Electrical Engineering, Electrochemistry, Computer Science, or a related field.
10+ years of experience in BMS or battery systems within an automotive environment.
Deep expertise in battery cell chemistry, electrochemical behavior, and impedance spectroscopy.
Proven experience with MATLAB, Simulink, and Python for algorithm development.
Hands-on experience with NXP AI toolchains and automotive MCU platforms like S32K/S32G.
Strong understanding of real-time, resource-constrained systems and edge AI optimization.