Battery Management System Engineer

Koala HR Solutions • Full-time • Remote (İstanbul, İstanbul) • 1m ago

Şirket Tanımı

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İş Tanımı

AI-Driven Hardware Design: Develop state-of-the-art BMS hardware solutions that leverage artificial intelligence to enhance system scalability, adaptability, and real-time decision-making capabilities.
Cross-Disciplinary Collaboration: Work closely with electrical, mechanical, and software engineering teams to integrate AI-enhanced hardware designs with overall system requirements and architecture.
Optimize BMS with AI: Architect BMS systems that utilize AI for predictive maintenance, battery lifespan extension, and efficiency improvements, enabling smarter energy management.
Advanced Sensing and Control: Implement AI-based sensing and control strategies to dynamically monitor and manage battery health, performance, and safety in real time.
Failure Mode and Safety Analysis: Use AI and machine learning algorithms to improve failure prediction models, conducting thorough safety analyses in line with international standards (e.g., UL, IEC).
Innovation and Industry Trends: Stay at the cutting edge of AI applications in energy storage, continuously integrating the latest AI-driven innovations into BMS technologies.
Full System Integration: Ensure that AI-enhanced hardware seamlessly integrates into the overall system, supporting modularity, scalability, and future upgrades.

Nitelikler

Bachelor’s or Master’s degree in Electrical, Electronics Engineering, AI, or a related field.
At least 3 years of experience in BMS design and development, with a strong focus on energy storage systems and AI integration.
Deep knowledge of Li-Ion battery technology, energy storage systems, and electrical safety standards (e.g., UL, IEC).
Proven expertise in microprocessor-based controller design, communication protocols (e.g., CAN, Serial), power electronics, and integrating AI-driven control algorithms.
Experience with AI tools, simulation, and modeling to predict system behavior, optimize performance, and enable intelligent battery management.
Strong problem-solving abilities, particularly in AI and data-driven approaches to engineering challenges.
Excellent communication and collaboration skills, with a history of successfully working in cross-functional teams, including AI, electrical, mechanical, and software engineering.
Active contributor to product strategy, particularly in AI-powered energy storage solutions.
Commitment to continuous learning and staying updated on the latest advancements in AI, machine learning, and energy storage technologies.